Podcasts about gartner magic quadrant

AWS Morning Brief for the week of March 3, with Corey Quinn. Links:Amazon Connect reduces telephony pricing in VietnamAmazon EC2 announces Time-based Copy for AMIsAmazon Location Service now supports AWS PrivateLinkAnthropic's Claude 3.7 Sonnet is now available in Amazon BedrockAWS Batch now supports resource aware schedulingAWS Chatbot is now named Amazon Q DeveloperAWS CodePipeline introduces new console experience for viewing pipeline releasesYou can now use your China UnionPay credit card to create an AWS accountAccelerate Security Incident Response and Recovery with AWS Security Incident Response PartnersAmazon Web Services named a Leader in the 2024 Gartner Magic Quadrant for Data Integration ToolsMigrate very large databases to Amazon Aurora MySQL using MyDumper and MyLoaderAnnouncing CDK Garbage CollectionGenerate Code Documentation Using Amazon Q DeveloperByteDance processes billions of daily videos using their multimodal video understanding models on AWS Inferentia2Unlock deeper insights and faster investigations with AWS CloudTrail Lake

Podcast: Industrial Cybersecurity InsiderEpisode: Gartner, DOGE, and the Future of OT Cybersecurity PolicyPub date: 2025-02-25Get Podcast Transcript →powered by Listen411 - fast audio-to-text and summarizationIn this episode, we dive into the latest Gartner Magic Quadrant report for OT cybersecurity and analyze key players, market trends, and strategies for selecting the right security partners.We also discuss insights from the recent S4 conference, the growing importance of cyber-informed engineering, and how organizations can effectively align IT and OT security strategies. We discuss CapEx versus OpEx and potential implications of the DOGE initiative around industrial cybersecurity investments.Whether you're planning your next cybersecurity investment or tackling legacy system challenges, this episode provides practical guidance to help you navigate the OT security landscape.Chapters:00:00:00 -Think Globally, Secure Locally: Crafting an Effective OT Cyber Strategy00:00:31 -Meet Dino & Craig: Cybersecurity Pros with Real-World OT Experience00:01:03 -Cybersecurity Headlines That Matter: What's Shaping OT Security Today00:02:20 -Gartner's Magic Quadrant Revealed: Who's Leading OT Cybersecurity?00:03:08 -Why OT Teams Hold the Key to Cybersecurity Success00:04:24 -Your OT Ecosystem is Bigger Than You Think—Here's Why That Matters00:05:08 -S4 Conference Takeaways: The Future of Secure-By-Design Machines00:11:39 -CapEx vs. OpEx: Smart Budgeting for OT Cybersecurity Investments00:19:08 -AI, Onshoring, and the Next Big Shifts in Industrial Cybersecurity00:20:50 -IT vs. OT? No—IT & OT: How to Bridge the Divide for Better Security00:23:02 -Final Insights: The Must-Know Takeaways for Securing Your OT EnvironmentLinks And Resources:Cybersecurity Group Page on LinkedInDino Busalachi on LinkedInCraig Duckworth on LinkedInThanks so much for joining us this week. Want to subscribe to Industrial Cybersecurity Insider? Have some feedback you'd like to share? Connect with us on Spotify, Apple Podcasts, and YouTube to leave us a review!The podcast and artwork embedded on this page are from Velta Technology, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.

　Oktaは12月、ガートナー（Gartner）が2024年12月の「アクセス管理マジック・クアドラント（Magic Quadrant）」に Okta をリーダーとして認定したと発表した。

In der neuesten Folge #143 des E-Commerce Dudes Podcasts besprechen Daniel Höhnke und Tim Schestag das Hauptthema in dieser Woche alles rund um Googles neuen AI Sales Assistant, der als transformative Entwicklung für Onlinehändler und SEOs gehandelt wird. Tim und Daniel analysieren, welche Möglichkeiten diese Technologie für Händler bietet, wie sie sich auf die Customer Journey auswirken könnte und warum sich SEOs jetzt darauf vorbereiten sollten. News der Woche: - Neuste Zahlen aus der Verteilung der weltweiten Suchmaschinennutzung. Ja, hier ist Bewegung drin und Google ist zwar noch stärkste Kraft, aber das Monopol bröckelt immer doller. - Wie misst man eigentlich seine Sichtbarkeit und Erscheinung in den ganzen KI Tools als Marke, wenn es keine Keywords sondern "nur noch" Themencluster gibt? Hier gibt es erste Ansätze! - Danke an den "Dude" Paul Krauss und das Tielen des neuen Coca Cola Winterwerbespots. Warum ist das interessant? die Coca Cola Trucks fahren nun komplett mit KI erstellt über den Bildschirm. - Scayle geht mit breiter Brust voran und proklamiert, dass Projekte auf Scayle zu 0% scheitern und erfinden den Gartner Magic Quadrant neu ;-) - Reddit übersetzt mit KI und zieht in wenigen Monaten an großen deutschen Publishern im SEO Sichtbarkeitsindex vorbei. Vorbild oder wurde das "eingekauft"? Hört rein für brandaktuelle Insights, kontroverse Diskussionen und konkrete Tipps für eure E-Commerce-Strategie! Daniel: www.linkedin.com/in/daniel-hoehnke/ Tim: www.linkedin.com/in/tim-schestag/

This week, we discuss the relationship between DevOps and Platform Engineering, Gartner's take on Distributed Hybrid Infrastructure, and Nvidia's search for new use cases. Plus, a listener chimes in to clear up some Podman misconceptions. Watch the YouTube Live Recording of Episode (https://www.youtube.com/watch?v=DyjB-jmL0QQ) 495 (https://www.youtube.com/watch?v=DyjB-jmL0QQ) Runner-up Titles Prove me wrong AWS, prove me wrong Please turn off the lights Who's googling for “shift left”? I realized what they were talking about, it's computers They're talking but you're not listening Piling on the dead horse We gave this guy $5 billion dollars, check him out Podman is Pepsi Nobody's paying for that Niche Player Rundown Platform Engineering Is The New DevOps (https://www.forbes.com/sites/justinwarren/2024/11/21/platform-engineering-is-the-new-devops/) SRE Books (https://sre.google/books/) Magic Quadrant for Distributed Hybrid Infrastructure (https://www.gartner.com/doc/reprints?id=1-2J0PN9ZJ&ct=241007&st=sb&trk=0da8abef-e59d-40d4-b66b-ba96c755768b&sc_channel=el) AWS named as a leader again in the Gartner Magic Quadrant for Distributed Hybrid Infrastructure (https://aws.amazon.com/blogs/aws/aws-named-as-a-leader-again-in-the-gartner-magic-quadrant-for-distributed-hybrid-infrastructure/) Nvidia AI Easts the World — Benedict Evans (https://www.ben-evans.com/presentations) Nvidia revenue almost doubles on the year even as growth slows from previous quarter (https://on.ft.com/3Vpw2Z1) Nvidia's Huang Spreads the Gospel of AI in Search of More Customers (https://www.bloomberg.com/news/newsletters/2024-11-21/nvidia-s-huang-spreads-the-gospel-of-ai-in-search-of-more-customers?srnd=undefined) Amazon Updates Homegrown Chips, Even as It Grows Nvidia Ties (https://links.message.bloomberg.com/a/click?_t=f574328d4d0c4c359b90d8e49b10e21d&_m=e253c47d1776426cada2b989eb51ef3d&_e=BISdgjckKJ39RYZ5axUkOu4DkhEzj_0CzmZEdaLS3niAwih7Lch-yccqByy-SKSB_PawXlFTeOpypVo4aikKnrEHKgvZ1v2TyAeErFN65ZsdRhzpsl63CY7Ia4-4Y_AmaM8n0A6iEaAPInfkiRKNT3xf8OE6NLeC4L7EavGfLanwRXXmv773517sL7d2HT-Rcewoj4Ilv2S4WBW0l3E797KSeKHwZmNv3h9g8B7rUMFKXg8gnlDDRuYjGkBMn8m9-4yP3laYhYAwEeaW3arWkc1bzZFYO_N0fzB31aRoEEvMjvCyXvrv-fg1yhLbDHFZFK5xDr2cgqT8uxPoHajG8qPT7nzRt_56WNcg30HnKZ2OwDxnLJkIDzw47BuHXtk-BMsx5WG7Gn51NdUiPqUTAV5YHattNV9B5gmGwXtVZubp-eOJfFuCVKrLgVwrMLLqGMLEFhgI00D0RHwpXFbHDg%3D%3D) Nvidia Earnings, Strawberry and Video, The Networking Question (https://stratechery.com/2024/nvidia-earnings-strawberry-and-video-the-networking-question/) Podman: Podman in Action | Red Hat Developer (https://developers.redhat.com/e-books/podman-action) Kubernetes Podcast from Google: Episode 164 - Podman, with Daniel Walsh and Brent Baude (https://kubernetespodcast.com/episode/164-podman/) DevOps and Docker Talk: Cloud Native Interviews and Tooling | Podman In Action: Desktop, Machine, and more (https://podcast.bretfisher.com/episodes/podman-in-action-desktop-machine-and-more) Relevant to your Interests Microsoft Ignite 2024: Everything Revealed in 15 Minutes (https://www.youtube.com/watch?v=_4qsQ6OWZsM) Microsoft Ignite 2024: all the news from Microsoft's IT pro event (https://www.theverge.com/2024/11/19/24300001/microsoft-ignite-2024-news-ai-announcements-copilot-windows-azure-office) AWS Lambda turns ten – looking back and looking ahead | Amazon Web Services (https://aws.amazon.com/blogs/aws/aws-lambda-turns-ten-the-first-decade-of-serverless-innovation/) Kyndryl insiders claim new business is scarce (https://www.theregister.com/2024/11/20/kyndryl_little_new_business/) Snowflake snaps up data management company Datavolo (https://techcrunch.com/2024/11/20/snowflake-snaps-up-data-management-company-datavolo/) Northflank raises $22M to make Kubernetes work for your developers (https://northflank.com/blog/northflank-raises-22m-to-make-kubernetes-work-for-your-developers-ship-workloads-not-infrastructure) Overcast adds new listening stats and 48-hour undo features (https://9to5mac.com/2024/11/20/overcast-listening-history-undo-features/) Reddit was down — latest updates on major outage (https://www.tomsguide.com/news/live/reddit-down-live-updates-on-outage) Wiz acquires Dazz for $450M to expand its cybersecurity platform (https://techcrunch.com/2024/11/21/wiz-acquires-dazz-for-450m-to-expand-its-cybersecurity-platform/) Comcast is spinning off its cable TV business (https://www.theverge.com/2024/11/20/24301310/comcast-spinning-off-nbcuniversal-cable-tv-business) Snowflake's shares surge higher on blowout earnings, (https://t.co/alQ7p57V3y) Clouded Judgement 11.22.24 - Is Software Back? (https://cloudedjudgement.substack.com/p/clouded-judgement-112224-is-software?utm_source=post-email-title&publication_id=56878&post_id=151992794&utm_campaign=email-post-title&isFreemail=true&r=2l9&triedRedirect=true&utm_medium=email) WordPress.com owner Automattic snaps up grammar checker Harper (https://techcrunch.com/2024/11/21/wordpress-com-owner-automattic-snaps-up-grammar-checker-harper/) DHH Wants To Make Web Dev Easy Again, With Ruby on Rails (https://thenewstack.io/dhh-wants-to-make-web-dev-easy-again-with-ruby-on-rails/) Dear friend, you have built a Kubernetes (https://www.macchaffee.com/blog/2024/you-have-built-a-kubernetes/) Kamal 2.0 Released (https://dev.37signals.com/kamal-2/) 'I have no money': Thousands of Americans see their savings vanish in Synapse fintech crisis (https://www.cnbc.com/2024/11/22/synapse-bankruptcy-thousands-of-americans-see-their-savings-vanish.html) Pentagon audit highlights woeful ERP systems (https://www.thestack.technology/pentagon-audit-it-systems-erp/) Delivering 4K Video with Cloudflare R2 for $2.18 (https://screencasting.com/cheap-video-hosting) First Google Axion Processor Now Available: Claims Best Performance in Cloud Market (https://www.infoq.com/news/2024/11/google-axion-c4a/) Glassdoor Worklife Trends 2025 - Glassdoor US (https://www.glassdoor.com/blog/worklife-trends-2025/) Nonsense It looks like Backstage is working out. (https://www.threads.net/@derickevolved/post/DCmyJeYyWF3?xmt=AQGzEuuVG27rxo-L0IWbIfrdALmECac-SYLR2VaYkspHDw) European Showers (https://www.threads.net/@_yes_but/post/DCmOuqpyX-l?xmt=AQGzhm-KIrpChsW3eMGrDrVwzbijNEoRkz01Iin63gnOoQ) KFC's latest partnership is with Build-A-Bear Workshop (https://www.nrn.com/quick-service/kfc-s-latest-partnership-build-bear-workshop) Australia/Lord_Howe is the weirdest timezone | SSOReady (https://ssoready.com/blog/engineering/truths-programmers-timezones/) Listener Feedback Andrew created the Multiple Tab to PDF Printer (https://chromewebstore.google.com/detail/multiple-tab-to-pdf-print/anlocohdegpcbalhdigpjemapejhephi) Conferences CfgMgmtCamp (https://cfgmgmtcamp.org/ghent2025/), February 2-5, 2025. DevOpsDayLA (https://www.socallinuxexpo.org/scale/22x/events/devopsday-la) at SCALE22x (https://www.socallinuxexpo.org/scale/22x), March 6-9, 2025, discount code DEVOP SDT News & Community Join our Slack community (https://softwaredefinedtalk.slack.com/join/shared_invite/zt-1hn55iv5d-UTfN7mVX1D9D5ExRt3ZJYQ#/shared-invite/email) Email the show: questions@softwaredefinedtalk.com (mailto:questions@softwaredefinedtalk.com) Free stickers: Email your address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) Follow us on social media: Twitter (https://twitter.com/softwaredeftalk), Threads (https://www.threads.net/@softwaredefinedtalk), Mastodon (https://hachyderm.io/@softwaredefinedtalk), LinkedIn (https://www.linkedin.com/company/software-defined-talk/), BlueSky (https://bsky.app/profile/softwaredefinedtalk.com) Watch us on: Twitch (https://www.twitch.tv/sdtpodcast), YouTube (https://www.youtube.com/channel/UCi3OJPV6h9tp-hbsGBLGsDQ/featured), Instagram (https://www.instagram.com/softwaredefinedtalk/), TikTok (https://www.tiktok.com/@softwaredefinedtalk) Book offer: Use code SDT for $20 off "Digital WTF" by Coté (https://leanpub.com/digitalwtf/c/sdt) Sponsor the show (https://www.softwaredefinedtalk.com/ads): ads@softwaredefinedtalk.com (mailto:ads@softwaredefinedtalk.com) Recommendations Brandon: Cursor (https://www.cursor.com/) Matt: iPhone Mirroring in macOS (https://www.google.com/search?client=safari&rls=en&q=iPhone+Mirroring+in+macOS+15&ie=UTF-8&oe=UTF-8) (https://www.google.com/search?client=safari&rls=en&q=iPhone+Mirroring+in+macOS+15&ie=UTF-8&oe=UTF-8)15 (https://www.google.com/search?client=safari&rls=en&q=iPhone+Mirroring+in+macOS+15&ie=UTF-8&oe=UTF-8) Coté: Insta360 Flow Pro gimbal (https://amzn.to/4g7t9UA) Photo Credits Header (https://unsplash.com/photos/clear-light-bulb-lot-PIrOQrqewLE) Artwork (https://unsplash.com/s/photos/grade-evaluation) Web 2.0 2FA Life Hacks (https://www.troyhunt.com/beyond-passwords-2fa-u2f-and-google-advanced-protection/)

As digital transformation redefines industries, organisations are faced with the challenge of building a workforce equipped for rapid change. At Lloyds Banking Group, this shift is driving a bold move towards a skills-based organisation, where agility, adaptability, and continuous learning are core to its evolution. In this episode of the Digital HR Leaders podcast, host David Green is joined by two leaders at the heart of this transformation: Lara Wainwright, Product Owner and Lab Lead, and Duncan Reynall, Group Talent & Development Director at Lloyds Banking Group. Together, they dive into: The broader strategy behind Lloyds' workforce transformation agenda How both Lara and Duncan's roles interconnect to drive the digital transformation that enables Lloyds Banking Group's skills-based organisation goals Challenges and successes encountered along the journey, offering practical advice for organisations navigating similar digital transformations The role of workforce data in driving progress, fostering culture, and enhancing employee engagement across Lloyds Metrics that Lloyds Banking Group uses to measure success in skills development, ensuring alignment with long-term transformation goals This episode, sponsored by Workday, is essential for HR leaders aiming to leverage data and analytics to drive workforce agility and transformation. Workday is a leading provider of enterprise cloud applications for HR and finance, recognised as a leader in the Gartner Magic Quadrant for Cloud HCM Suites. Organisations ranging from medium-sized businesses to more than 50% of the Fortune 500— including Netflix, Sanofi, AstraZeneca, and Rolls Royce—have chosen Workday to build their HR systems and implement Workforce Analytics solutions. Join them and learn more at workday.com Links to Resources: Lara Wainwright: Lara Wainwright Duncan Reynall: Duncan Reynall Workday: Workday MyHRFuture Academy: MyHRFuture Insight222: Insight222 Hosted on Acast. See acast.com/privacy for more information.

With multiple reports predicting the disappearance of millions of jobs in the coming years, an urgent need for a reskilling revolution has sparked organisations and governments across the globe. In this episode of the Digital HR Leaders podcast, host David Green dives into this pressing topic with Anish Lalchandani, Global Head of Talent Management at Maersk and author of The Skills Advantage: A Human-Centered, Sustainable, and Scalable Approach to Reskilling. Packed with insights, this episode covers: The “four cornerstones” of reskilling: awareness, application, agility, and alliances, and how they drive sustainable workforce transformation The pivotal role of AI in accelerating reskilling efforts and the importance of balancing technological advancement with human-centered skills Strategies for building partnerships within and beyond the organisation to foster a supportive reskilling ecosystem Key metrics that HR leaders should use to measure the success of their reskilling initiatives and demonstrate value to the business This episode, sponsored by Workday, is essential for HR leaders looking to transform their people strategies through AI-driven talent orchestration and offers practical takeaways on how to leverage these tools for organisational success. Workday is a leading provider of enterprise cloud applications for HR and finance, recognised as a leader in the Gartner Magic Quadrant for Cloud HCM Suites. Organisations ranging from medium-sized businesses to more than 50% of the Fortune 500— including Netflix, Sanofi, AstraZeneca, and Rolls Royce—have chosen Workday to build their HR systems and implement Workforce Analytics solutions. Join them and learn more at workday.com Links to Resources: Anish Lalchandani on LinkedIn: Anish Lalchandani The Skills Advantage: A Human-Centered, Sustainable, and Scalable Approach to Reskilling Workday: Workday MyHRFuture Academy: MyHRFuture Insight222: Insight222 Hosted on Acast. See acast.com/privacy for more information.

SAP offers a quote-to-cash Software-as-a-Service solution for which it has recently been named leader by Gartner in their Magic Quadrant for Recurring Billing Solutions. Join us in this episode of the Inside SAP S/4HANA Cloud podcast as we delve into the world of subscription-based business models and how SAP is at the forefront of providing end-to-end quote-to-cash solutions. We will explore the challenges and opportunities that companies, especially in the SaaS industry, face when dealing with subscription management. Greg Hutcheon interviews our experts from SAP, Isabel Reingruber and David Eastlund, as well as John Froelich from the SAP partner Bramasol. They share their insights, experiences, and successful use cases.

As AI reshapes the HR landscape, many organisations are still grappling with how to turn big investments into real business outcomes. Could talent orchestration be the gap between investment and actionable outcomes? In this episode of the Digital HR Leaders podcast, David Green is joined by Jason Scheckner, Senior Director of Business Strategy for HiredScore at Workday, to reveal how talent orchestration is the key to unlocking AI's full potential and transforming HR operations into a strategic powerhouse. Packed with actionable insights, this episode delves into: What talent orchestration is and how it builds on the foundation of talent intelligence How it connects various HR systems and data to improve processes beyond traditional methods like data lakes and systems of record Why so many organisations are struggling to make real strides with AI, despite it being a top priority for executives Practical examples of how talent orchestration is enhancing internal mobility and employee retention Key strategies for ensuring AI used in HR remains ethical and safe Metrics and outcomes to gauge the success of talent orchestration efforts This episode, sponsored by Workday, is essential for HR leaders looking to transform their people strategies through AI-driven talent orchestration and offers practical takeaways on how to leverage these tools for organisational success. Workday is a leading provider of enterprise cloud applications for HR and finance, recognised as a leader in the Gartner Magic Quadrant for Cloud HCM Suites. Organisations ranging from medium-sized businesses to more than 50% of the Fortune 500— including Netflix, Sanofi, AstraZeneca, and Rolls Royce—have chosen Workday to build their HR systems and implement Workforce Analytics solutions. Join them and learn more at workday.com Links to Resources: Jason Scheckner on LinkedIn: Jason SchecknerHiredScore: HiredScore Workday: Workday MyHRFuture Academy: MyHRFuture Insight222: Insight222 Hosted on Acast. See acast.com/privacy for more information.

How is the shift to hybrid and distributed work reshaping the very fabric of your organisation's networks? And how you can leverage these changes to build more effective teams and drive business success? In this episode of the Digital HR Leaders podcast, David Green is joined by Michael Arena, a pioneer in Organisational Network Analysis (ONA), to explore how networks have evolved since the height of the pandemic. Listen in as they explore: How organisational networks have evolved in a distributed work environment Key findings from Michael's research on optimal team size How HR leaders can implement network analysis insights to drive strategic action The role of AI in facilitating ONA and the future of network research This episode, sponsored by Workday, is essential listening for HR leaders looking to optimise team dynamics and embrace the power of organisational networks to thrive in today's world of work. Workday is a leading provider of enterprise cloud applications for HR and finance, recognised as a leader in the Gartner Magic Quadrant for Cloud HCM Suites. Organisations ranging from medium-sized businesses to more than 50% of the Fortune 500— including Netflix, Sanofi, AstraZeneca, and Rolls Royce—have chosen Workday to build their HR systems and implement Workforce Analytics solutions. Join them and learn more at workday.com Links to Resources: Michael Arena on LinkedIn: Michael Arena Workday: Workday MyHRFuture Academy: MyHRFuture Insight222: Insight222 Hosted on Acast. See acast.com/privacy for more information.

Let's talk to cybersecurity expert, Lalisha Hurt, about her approach to selecting the right tools for your organization by using proven methods such as referencing the Gartner Magic Quadrant, thinking about the entire IT portfolio as part of your selection process, and what a successful 'Vendor Day' can do! Visit https://cisostoriespodcast.com for all the latest episodes! Show Notes: https://cisostoriespodcast.com/csp-197

Listen to my interview with Ingo Mierswa, founder of RapidMiner and SVP of Product Development at Altair, as we explore the integration of RapidMiner technology into the Altair RapidMiner Platform and the recent acquisition of Cambridge Semantics' knowledge graph technology. Discover how Altair is delivering an end-to-end data science solution and why it was named a Leader in the 2024 Gartner Magic Quadrant for Data Science and Machine Learning Platforms.

Transforming a global company like Mastercard into an AI-powered, future-focused, skills-driven organisation takes more than just bold ideas—it takes visionary leadership and a deep connection between the people and business strategy. In this episode of the Digital HR Leaders podcast, David Green sits down with Michael Fraccaro, Chief People Officer at Mastercard, to gain insight into how he and his team are shaking things up in HR. A conversation packed with inspirational actions, you'll learn about: How Mastercard are using AI to rethink leadership Why they've gone all-in on becoming a skills-based organisation How their internal talent marketplace, Unlocked, is helping employees grow and thrive Insights on navigating the rise of the gig economy How to connect and retain younger generations This episode, sponsored by Workday, is packed with practical takeaways for HR leaders who want to lead their own organisations into the future. Workday is a leading provider of enterprise cloud applications for HR and finance, recognised as a leader in the Gartner Magic Quadrant for Cloud HCM Suites. Organisations ranging from medium-sized businesses to more than 50% of the Fortune 500— including Netflix, Sanofi, AstraZeneca and Rolls Royce—have chosen Workday to build their HR systems and implement Workforce Analytics solutions. Join them and learn more at workday.com Links to Resources: Michael Fraccaro on LinkedIn: Michael Fraccaro Workday: Workday MyHRFuture Academy: MyHRFuture Insight222: Insight222 Hosted on Acast. See acast.com/privacy for more information.

It's OneDrive's turn in the spotlight. After a recent dedicated OneDrive event I have all the latest about updates and improvements that have been announced. Of course, there is plenty of other news also around security and Copilot as well as improvements to the new Outlook that you should check out. Thanks again for listening. Resources @directorcia Join my shared channel CIAOPS merch store Become a CIAOPS Patron CIAOPS Blog CIAOPS Brief CIAOPSLabs Support CIAOPS Welcome to the New Era of Microsoft OneDrive: AI, Productivity, and Memories at Your Fingertips  Get to know Copilot in OneDrive Introducing Copilot in OneDrive: Now Generally Available What's New In Copilot | September 2024 New Copilot enhancements help small and medium-sized businesses innovate Introducing Copilot Labs and Copilot Vision New experiences coming to Copilot+ PCs and Windows 11 An AI companion for everyone  Create desktop flows using the AI Recorder  Token theft protection with Microsoft Entra, Intune, Defender XDR & Windows Use community queries to hunt more effectively across email and collaboration threats What's new in Microsoft Entra – September 2024  What is Microsoft Entra (and why use it)? Research Threat intelligence Microsoft Defender XDR Business email compromise Improved user experience for Dictate in new Outlook for Windows and Outlook for the web Getting started with the new Outlook for Windows Learn about the new Outlook for Windows Level Up Your Security Skills with the New Microsoft Sentinel Ninja Training! Microsoft Defender XDR Monthly news - October 2024  Windows 11, version 24H2 security baseline Windows 11, version 24H2: What's new for IT pros Security settings management is available for multi-tenant environments in Microsoft Defender XDR Implementing a secure by default approach with Microsoft Purview and address oversharing Microsoft Intune support for Apple Intelligence Microsoft is named a Leader in the 2024 Gartner® Magic Quadrant™ for Endpoint Protection Platforms Microsoft Ignite  

Pure Networks, a leading provider of Cyber Security services, and Netskope, a leader in Secure Access Service Edge (SASE), today announced a partnership to bring Netskope's market-leading Security Service Edge (SSE) capabilities to Pure Networks' customers in Ireland. The partnership follows a number of recent large customer sales of Netskope by Pure Networks and recognises the value Netskope's technology will bring to organisations across Ireland. Pure Networks and Netskope Partner Netskope Intelligent SSE is a data-centric, cloud-native, and fast security solution with adaptive access, advanced data, and threat protection. Built to address the changing data security needs of modern organisations, and support zero trust principles, the technology provides unrivalled visibility and real-time granular controls, ensuring secure access to the web, cloud services, and private apps from any location. In 2024, Netskope Intelligent SSE was recognised for the third year in a row as a Leader in the Gartner Magic Quadrant for Security Service Edge (SSE), showcasing the highest ability to Execute and Completeness of Vision. Netskope already integrates with many of Pure Networks' strategic vendors and cloud technology partners, enabling seamless incorporation into customers' technology stacks. Gerry Sheldrick, COO of Pure Networks, commented: "In a world where the threat landscape evolves daily, and organisations are becoming increasingly aware of the importance of data security, it is not an option to allow security systems to become outdated. We always strive to partner with the very best technology vendors, ensuring that we can continue to support our customers evolving needs." Mike Herman, VP Partner Sales EMEA/LATAM at Netskope, commented: "We are incredibly pleased to be partnering with Pure Networks to support the cyber security and data protection needs of Irish businesses. With our NewEdge private cloud infrastructure already including a data centre in Dublin to optimise local user experience and process our Irish customers' data within the country, we are well equipped to address this market." About Pure Networks Pure Networks is an Irish based value-added Cyber Security reseller with an established global team experienced in Professional Services, Managed Services, Education, and a next-generation cloud offering Pure Cloud. The expert team of engineers and Software Solution Architects work together with best-of breed vendors to deliver an unparalleled level of commercial and technical service to clients around the world ensuring the highest level of proactive protection from cyber attacks. For more information, visit purenetworks.ie. About Netskope Netskope, a global SASE leader, helps organisations apply zero trust principles and AI/ML innovations to protect data and defend against cyber threats. Fast and easy to use, the Netskope One platform and its patented Zero Trust Engine provide optimised access and real-time security for people, devices, and data anywhere they go. Thousands of customers trust Netskope and its powerful NewEdge network to reduce risk and gain unrivalled visibility into any cloud, SaaS, web, and private application activity - providing security and accelerating performance without compromise. Learn more at netskope.com. See more breaking stories here.

This week, we discuss the intersection of DevOps and Platform Engineering, the latest WordPress drama, and some M&A tips for Intel. Plus, a few recommendations on using iPhone mirroring. Watch the YouTube Live Recording of Episode (https://www.youtube.com/watch?v=SGxrtrRWtvc) 486 (https://www.youtube.com/watch?v=SGxrtrRWtvc) Runner-up Titles I'm out of nuts, time to podcast System Settings Security, it never ends Fancy Sysadmins Providing needles for your balloons Batman's not real What's the opposite of a taboo DevOps is not the tooling Software gets old Release the turbo button Rundown ‎Windows App (https://apps.apple.com/us/app/windows-app/id1295203466?mt=12) PlatformDays vs. DevOpsDays Has DevOps been "worth it" to you? (https://www.reddit.com/r/devops/comments/1f5srog/has_devops_been_worth_it_to_you/) R (https://newsletter.cote.io/p/how-devops-can-come-back-from-the)enaming a few DevOpsDays (https://newsletter.cote.io/p/how-devops-can-come-back-from-the) t (https://newsletter.cote.io/p/how-devops-can-come-back-from-the)o PlatformDays (https://newsletter.cote.io/p/how-devops-can-come-back-from-the). Tossed Salads And Scrumbled Eggs (https://ludic.mataroa.blog/blog/tossed-salads-and-scrumbled-eggs/) Digital Transformation Gone Wrong How Sonos Botched an App and Infuriated Its Customers (https://www.bloomberg.com/opinion/articles/2024-09-23/how-sonos-botched-an-app-and-infuriated-its-customers) FAA air traffic control modernization efforts are a mess (https://www.theregister.com/2024/09/24/us_air_traffic_control_system_upgrade/) Apple Apple launches iPhone 16 with Apple Intelligence (https://finance.yahoo.com/news/apple-launches-iphone-16-with-apple-intelligence-183724722.html) Apple removes Control-click option for skipping Gatekeeper in macOS Sequoia (https://appleinsider.com/articles/24/08/06/apple-removes-control-click-option-for-skipping-gatekeeper-in-macos-sequoia) Intel Qualcomm Approached Intel About a Takeover in Recent Days (https://www.wsj.com/business/deals/qualcomm-approached-intel-about-a-takeover-in-recent-days-fa114f9d) Intel launches new AI chips as takeover rumors swirl (https://finance.yahoo.com/news/intel-launches-new-ai-chips-as-takeover-rumors-swirl-153749461.html) Wordpress Drama Matt Mullenweg calls WP Engine a 'cancer to WordPress' and urges community to switch providers (https://techcrunch.com/2024/09/22/matt-mullenweg-calls-wp-engine-a-cancer-to-wordpress-and-urges-community-to-switch-providers/) Matt Mullenweg needs to step down from WordPress.org leadership ASAP (https://notes.ghed.in/posts/2024/matt-mullenweg-wp-engine-debacle/) WordCamp US & Ecosystem Thinking (https://ma.tt/2024/09/ecosystem-thinking/) WP Engine responds (https://wpengine.com/wp-content/uploads/2024/09/Cease-and-Desist-Letter-to-Automattic-and-Request-to-Preserve-Documents-Sent.pdf) Relevant to your Interests IBM quietly axing thousands of jobs, source claims (https://www.theregister.com/2024/09/18/ibm_job_cuts/) Comment on #1262 Health of Linkerd project (https://github.com/cncf/toc/issues/1262#issuecomment-2357919000) Starbucks New CEO on Return to Office: ‘We're All Adults Here' (https://www.bloomberg.com/news/articles/2024-09-19/starbucks-new-ceo-on-return-to-office-we-re-all-adults-here) Yaak Is Now Open Source (https://yaak.app/blog/now-open-source) OpenAI to Decide Which Backers to Let Into $6.5 Billion Funding (https://www.bloomberg.com/news/articles/2024-09-19/openai-to-decide-which-backers-to-let-into-6-5-billion-funding?utm_source=newsletter&utm_medium=email&utm_campaign=newsletter_axiosprorata&stream=top) Google rolls out automatic passkey syncing via Password Manager (https://techcrunch.com/2024/09/19/google-rolls-out-automatic-passkey-syncing-via-password-manager/) A Leader in 2024 Gartner Magic Quadrant for Container Management (https://cloud.google.com/blog/products/containers-kubernetes/a-leader-in-2024-gartner-magic-quadrant-for-container-management/) Companies Like to Pit Internal Teams Against Each Other. Bad Idea. (https://www.wsj.com/lifestyle/workplace/competition-companies-employees-9099a425) Microsoft has announced new efforts to improve its cybersecurity systems (https://www.neowin.net/news/microsoft-has-announced-new-efforts-to-improve-its-cybersecurity-systems/) Oracle Sees $104 Billion Sales in Fiscal 2029 on Cloud Expansion (https://www.bloomberg.com/news/articles/2024-09-12/oracle-sees-104-billion-sales-in-fiscal-2029-on-cloud-expansion) Oracle Runs OCI Clones At Rival AWS, Google, And Azure Clouds (https://www.nextplatform.com/2024/09/10/oracle-runs-oci-clones-at-rival-aws-google-and-azure-clouds/) Oracle and Amazon Web Services Announce Strategic Partnership (https://www.oracle.com/news/announcement/ocw24-oracle-and-amazon-web-services-announce-strategic-partnership-2024-09-09/) John Mulaney got paid $2M to show up to Dreamforce and say this (https://softwaredefinedtalk.slack.com/archives/C04EK1VBK/p1727125631774399) The Cloud is Darker and More Full of Terrors (https://www.chrisfarris.com/post/sect2024/?ck_subscriber_id=1141233388) Kaspersky deletes itself, installs UltraAV antivirus without warning (https://www.bleepingcomputer.com/news/security/kaspersky-deletes-itself-installs-ultraav-antivirus-without-warning/) IBM AI simply not up to the job of replacing staff (https://www.theregister.com/2024/09/24/ibm_layoffs_ai_talent/) More Americans – especially young adults – are regularly getting news on TikTok (https://www.pewresearch.org/short-reads/2024/09/17/more-americans-regularly-get-news-on-tiktok-especially-young-adults/) Meta Unveils 'Orion' Augmented Reality Glasses (https://www.macrumors.com/2024/09/25/meta-augmented-reality-glasses/) Google Rehired Noam Shazeer With Major Payout, (https://uk.finance.yahoo.com/news/google-rehired-noam-shazeer-major-141808501.html) Congress grills CrowdStrike about multibillion-dollar July outage (https://www.washingtonpost.com/technology/2024/09/24/congress-grills-crowdstrike-about-multibillion-dollar-july-outage/) Wiz In Talks to Sell Shares at Valuation as High as $20 Billion (https://www.bloomberg.com/news/articles/2024-09-24/cyber-firm-wiz-in-talks-to-sell-shares-at-20-billion-valuation) Google files Brussels complaint against Microsoft cloud business (https://archive.ph/VtRiP) Marques Brownlee says ‘I hear you' after fans criticize his new wallpaper app (https://www.theverge.com/2024/9/24/24253023/mkbhd-panels-wallpaper-app-response-criticism) Progress update on Microsoft's Secure Future Initiative (https://www.microsoft.com/en-us/security/blog/2024/09/23/securing-our-future-september-2024-progress-update-on-microsofts-secure-future-initiative-sfi/?ref=runtime.news) OpenAI rolls out Advanced Voice Mode with more voices and a new look (https://techcrunch.com/2024/09/24/openai-rolls-out-advanced-voice-mode-with-more-voices-and-a-new-look/) Intel launches new AI chips as takeover rumors swirl (https://finance.yahoo.com/news/intel-launches-new-ai-chips-as-takeover-rumors-swirl-153749461.html) Dozens of Fortune 100 companies have unwittingly hired North Korean IT workers, according to report (https://therecord.media/major-us-companies-unwittingly-hire-north-korean-remote-it-workers) Nonsense Grocery chains are bigger than ever. See who runs the stores near you. (https://www.washingtonpost.com/business/interactive/2024/grocery-store-owners-map-kroger-albertsons-merger/?utm_campaign=wp_post_most&utm_medium=email&utm_source=newsletter&wpisrc=nl_most&carta-url=https%3A%2F%2Fs2.washingtonpost.com%2Fcar-ln-tr%2F3f166c7%2F66f2df1965e56477aea35218%2F5ed96de79bbc0f3a78a62db3%2F8%2F54%2F66f2df1965e56477aea35218) Conferences Cloud Foundry Day EU (https://events.linuxfoundation.org/cloud-foundry-day-europe/), Karlsruhe, GER, Oct 9, 2024, 20% off with code CFEU24VMW. VMware Explore Barcelona (https://www.vmware.com/explore/eu), Nov 4-7, 2024. Coté speaking. SREday Amsterdam (https://sreday.com/2024-amsterdam/), Nov 21, 2024. Coté speaking (https://sreday.com/2024-amsterdam/Michael_Cote_VMwarePivotal_We_Fear_Change), 20% off with code SRE20DAY. DevOpsDayLA (https://www.socallinuxexpo.org/scale/22x/events/devopsday-la) at SCALE22x (https://www.socallinuxexpo.org/scale/22x), March 6-9, 2025, discount code DEVOP SDT News & Community Join our Slack community (https://softwaredefinedtalk.slack.com/join/shared_invite/zt-1hn55iv5d-UTfN7mVX1D9D5ExRt3ZJYQ#/shared-invite/email) Email the show: questions@softwaredefinedtalk.com (mailto:questions@softwaredefinedtalk.com) Free stickers: Email your address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) Follow us on social media: Twitter (https://twitter.com/softwaredeftalk), Threads (https://www.threads.net/@softwaredefinedtalk), Mastodon (https://hachyderm.io/@softwaredefinedtalk), LinkedIn (https://www.linkedin.com/company/software-defined-talk/), BlueSky (https://bsky.app/profile/softwaredefinedtalk.com) Watch us on: Twitch (https://www.twitch.tv/sdtpodcast), YouTube (https://www.youtube.com/channel/UCi3OJPV6h9tp-hbsGBLGsDQ/featured), Instagram (https://www.instagram.com/softwaredefinedtalk/), TikTok (https://www.tiktok.com/@softwaredefinedtalk) Book offer: Use code SDT for $20 off "Digital WTF" by Coté (https://leanpub.com/digitalwtf/c/sdt) Sponsor the show (https://www.softwaredefinedtalk.com/ads): ads@softwaredefinedtalk.com (mailto:ads@softwaredefinedtalk.com) Recommendations Brandon: Use Magnifier on your iPhone or iPad (https://support.apple.com/en-us/105102) Matt: Ghosts (https://www.imdb.com/title/tt8594324/) Coté: The Modern Myths (https://press.uchicago.edu/ucp/books/book/chicago/M/bo52584433.html). 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AWS Morning Brief for the week of September 23, with Corey Quinn. Links:AWS Transfer Family increases throughput and file sizes supported by SFTP connectors AWS WAF Bot Control Managed Rule expands bot detection capabilities AWS named as a Leader in the 2024 Gartner Magic Quadrant for Desktop as a Service (DaaS)Announcing General Availability of the AWS SDK for Swift Reinventing the Amazon Q Developer agent for software development Support for AWS DeepComposer ending soon Unlock AWS Cost and Usage insights with generative AI powered by Amazon Bedrock AWS Welcomes the OpenSearch Software Foundation The Rise of Chatbots: Revolutionizing Customer Engagement 

It turns out, you don't need to step outside to observe the clouds. On this episode, we're joined by Chronosphere Field CTO Ian Smith. He and Corey delve into the innovative solutions Chronosphere offers, share insights from Ian's experience in the industry, and discuss the future of cloud-native technologies. Whether you're a seasoned cloud professional or new to the field, this conversation with Ian Smith is packed with valuable perspectives and actionable takeaways.Show Highlights:(0:00) Intro(0:42) Chronosphere sponsor read(1:53) The role of Chief of Staff at Chronosphere(2:45) Getting recognized in the Gartner Magic Quadrant(4:42) Talking about the buying process(8:26) The importance of observability(10:18) Guiding customers as a vendor(12:19)  Chronosphere sponsor read(12:46) What should you do as an observability buyer(16:01) Helping orgs understand observability(19:56) Avoiding toxicly positive endorsements(24:15) Being transparent as a vendor(27:43) The myth of "winner take all"(30:02) Short term fixes vs. long term solutions(33:54) Where you can find more from Ian and ChronosphereAbout Ian SmithIan Smith is Field CTO at Chronosphere where he works across sales, marketing, engineering and product to deliver better insights and outcomes to observability teams supporting high-scale cloud-native environments. Previously, he worked with observability teams across the software industry in pre-sales roles at New Relic, Wavefront, PagerDuty and Lightstep.LinksChronosphere: https://chronosphere.io/?utm_source=duckbill-group&utm_medium=podcastIan's Twitter: https://x.com/datasmithingIan's LinkedIn: https://www.linkedin.com/in/ismith314159/SponsorChronosphere: https://chronosphere.io/?utm_source=duckbill-group&utm_medium=podcast

AWS Morning Brief for the week of September 9th, with Corey Quinn. Links:Organizational Units in AWS Control Tower can now contain up to 1,000 accountsAmazon SES announces enhanced onboarding with adaptive setup wizard and Virtual Deliverability ManagerAWS Glue now provides job queuing AWS Network Load Balancer now supports configurable TCP idle timeoutAWS named as a Leader in the first Gartner Magic Quadrant for AI Code AssistantsAWS to highlight generative AI, cloud advancements at IBC 2024

Join us for a discussion with Anne Lapkin, a former Gartner analyst, as we explore the latest Gartner Magic Quadrant for Analytics & Business Intelligence Platforms and the newly released Critical Capabilities report. Together, we'll guide you on how to interpret these documents to gain insights into the market performance of various platforms. Additionally, we'll share predictions on the future of BI and analytics.

"Anger, regret and envy... These are wasted emotions! While I've had my share of ups and downs, life has been a complete blast!" Vinod Kumar, Vice Chairman Everstone Group (former CEO Tata Communications and former CEO Vodafone Business), in conversation with Anurag Aggarwal, Chief Revenue Officer (Enterprise) at GMS. As Humans of Telecom celebrates a milestone of completing fifty episodes, we welcome an exceptional personality to the hot seat to share his life stories, philosophies, and passions! In this episode, Vinod walks us through his exciting journey of three decades in the telecom space. Having lived and worked in seven countries across Asia, Europe, and America, Vinod's entry into telecom wasn't premeditated. In his younger days, he aspired to do 'something international' and nearly joined the FMCG sector instead of telecom. However, destiny had different plans for him, and he eventually went on to steer some of the most well-known telecom companies, including Tata Communications and Vodafone Business. Amongst other things, Vinod reminisces about some of his milestone moments, including when Tata Communications entered the 'Leader' category in the coveted Gartner Magic Quadrant! Beyond his professional accomplishments, Vinod has some intriguing personal traits, which include grooving to Sufi music in the gym during his intense workout sessions as well as learning the Spanish language currently. Ironically, despite his magnetic stage presence, he claims to be an introvert and shares his secret sauce that lets him transform into the personality that we're more familiar with! Finally, Vinod talks about his love for the outdoors, team sports, and speed, which he manages well through his passion for skiing and playing polo!

AWS Morning Brief for the week of Monday, July 15th, with Corey Quinn. Links:Amazon API Gateway WebSocket APIs now available in 7 additional AWS RegionsAmazon EC2 R8g instances powered by AWS Graviton4 now generally availableAnnouncing the next generation of Amazon FSx for NetApp ONTAP file systemsAnnouncing AWS App Studio previewAWS Lambda introduces new controls to make it easier to search, filter, and aggregate Lambda function logsAWS recognized as a Challenger in the 2024 Gartner Magic Quadrant for Analytics and Business Intelligence PlatformsIntroducing dual-stack without public IPv4 Application Load BalancerAmazon CEO Andy Jassy explains Leadership Principles: Video & podcast

Today we tackle the topic of what it takes to be really successful with enterprise marketing including topics like how do you get in the Gartner Magic Quadrant, and how do you get real ROI  from true executive thought leadership.In this episode, we are joined by Kara Smith Brown, the Chief Revenue Officer of Lead Coverage, the only go-to-market consultancy specializing in the supply chain sector. Kara discusses her team's targeted strategies, including executive thought leadership, account-based marketing (ABM), and analyst relations. Kara shares insightful case studies on how effective analyst relations and public relations can elevate a company's market position, referencing successful campaigns with ITS Logistics and Redwood Logistics. She provides actionable tips on working with top-tier analysts like Gartner and Forrester, stressing the importance of having enterprise referenceable customers and understanding individual analysts' interests. This episode is a valuable resource for anyone looking to make their enterprise B2B marketing massively successful.Visit the Remarkable Marketing Podcast website to see all our episodes.Visit the Remarkable Marketing Podcast on YouTube01:05 Effective Enterprise Marketing Strategies 01:51 Case Study: ITS Logistics and Executive Thought Leadership04:12 Analyst Relations and PR: Redwood Logistics Case Study07:13 The Importance of Gartner in Enterprise Marketing14:37 Advice for Working with Analyst FirmsSend us a Text Message, give feedback on the episode, suggest a guest or topic

Welcome to IoT Coffee Talk #208 where we have a chat about all things IoT over a cup of coffee or two with some of the industry's leading business minds, thought leaders and technologists in a totally unscripted, organic format. Thanks for joining us. Sit back with a cup of Joe and enjoy the morning banter.This week, Rob, Jan, Dimitri, Stephanie, Pete, Leonard, Steve, and Marc jump on Web3 to celebrate the 4th ANNIVERSARY of IOT COFFEE TALK and to talk about:* BAD KARAOKE: "Beat It", Michael Jackson (with Steve Lukather & Eddie Van Halen)* The IoT Coffee Talk origin story* IoT Coffee Talk is the necromancer of dead IoT technologies!* A trip down memory road - the first 10 episodes of IoT Coffee Talk* GenAI shaming* Why YouTube constantly picked photos of Stephanie for our YouTube thumbnails* Rick's prediction that IoT Coffee Talk would die after a few weeks.... uh.* Generative AI and Copilots/Duos, etc. - the enterprise cybersecurity nuke* What would education look like with generative AI? Bueno or no bueno?* Congrats to Rob with Caroline's graduation!* Congrats to Charlie Key and Losant for making it on the Gartner Magic Quadrant for IIoT!* How Jan got hooked on IoT Coffee Talk and became and IoT Coffee Talker* IoT Coffee Talk's Clubhouse misadventureIt's a great episode. Grab an extraordinarily expensive latte at your local coffee shop and check out the whole thing. You will get all you need to survive another week in the world of IoT and greater tech!Thanks for listening to us! Watch episodes at http://iotcoffeetalk.com/. Your hosts include Leonard Lee, Stephanie Atkinson, Marc Pous, David Vasquez, Rob Tiffany, Bill Pugh, Rick Bullotta and special guests. We support Elevate Our Kids to bridge the digital divide by bringing K-12 computing devices and connectivity to support kids' education in under-resourced communities. Please donate.

In this episode of Security Visionaries, join host Max Havey dives into the fascinating world of analyst research, centering on the renowned Gartner Magic Quadrant with guests Steve Riley, a former Gartner analyst, and Mona Faulkner, an experienced analyst relations professional. In their conversation they dissect the intricate process of creating a Magic Quadrant and why it's much more than just a chart. Learn about the role of analyst relations and understand why customer references hold significant value. This episode is a must-listen for any organization looking to leverage analyst research for informed purchasing decisions in a competitive, complex market.

In this episode, we speak with Markus Ståhlberg, CEO & Co-Founder, N.Rich, the Account-based GTM Platform best suited for fast-growing mid-market and enterprise companies. It's been recognized in the 2023 Gartner® Magic Quadrant™ for Account-Based Marketing Platforms report and is the only provider Headquartered in Europe. We talked with Markus about how to approach a market where you are up against competition that has more funding, bigger teams, and greater spending! In particular, we are looking into the process of outplaying them rather than outspending them: - How do you differentiate your offering in a market with larger competitors, and ensure it resonates with your target customers? - What tactics can be used to get the initial attention on your terms? - Can limited resources, in fact, be a competitive edge? How can you leverage that you are a “smaller” player towards the customer? - What strategies are feasible to build a loyal customer base and meet their needs better than your competitors? - Which are the common traps to avoid when going up against the big ones? These are some of the many questions we address with Markus. Please tune in to hear how Markus' learnings from being the up and commer in a market with established large players can inspire you to run strategies and plays that help on your journey.

After a last second cancellation (guests will be rescheduled), join us as we gather together to talk about current events. Show Notes/Links: Microsoft Copilot Pro: https://support.microsoft.com/en-us/copilot-pro Discover, monitor and protect the use of Generative AI apps: https://techcommunity.microsoft.com/t5/microsoft-defender-xdr-blog/discover-monitor-and-protect-the-use-of-generative-ai-apps/ba-p/3999228 Microsoft AI Tour: https://envision.microsoft.com Microsoft is named a Leader in the 2023 Gartner® Magic Quadrant™ for Endpoint Protection Platforms: https://www.microsoft.com/en-us/security/blog/2024/01/12/microsoft-is-named-a-leader-in-the-2023-gartner-magic-quadrant-for-endpoint-protection-platforms/   Watch the live replay…  

Gartner defines low-code application platforms (LCAPs) as application platforms that are used to rapidly develop and run custom applications by abstracting and minimizing the use of programming languages. They are the foundation for a wide range of application types, application components and process automation. In this episode, we dive deep into Gartner's Magic Quadrant on low code with lead author, Oleksandr Matvitskyy to examine where the benefits, risks and innovations with this popular technology lie. Recommendations:Check out the full Magic Quadrant for Enterprise Low-Code Application PlatformsDownload the 2023 Technology Adoption Roadmap for Software Engineering (ebook)Join the conversation in the Gartner Peer Community

Episode Topic: Welcome to an insightful episode of PayPod. Michael Heffner, Vice President of multiple divisions within Appian Corporation, discusses the world of process automation. The discussion centers on Appian's journey since its founding in 1999, its evolution in technology, and its commitment to helping large institutions optimize their work processes. Michael shares insights into the complex challenges faced by companies in integrating and orchestrating their existing architectures while embracing innovation and adapting to the tools of today. Lessons You'll Learn: Listeners will gain valuable insights into the significance of process automation in the modern business landscape. Michael Heffner sheds light on the critical role of low-code and no-code tools in simplifying application development, addressing backlogs, and fostering innovation. The episode also explores the relevance of the Gartner Magic Quadrant and how Appian's leadership in low-code capabilities is assessed. Additionally, the discussion touches on the crucial aspects of data practices and the power of unifying data through Appian's Data Fabric. About Our Guest: Michael Heffner, Vice President at Appian Corporation, shares his journey with Appian, starting as a customer before joining the company. His extensive experience in the financial industry and passion for growth and innovation align with Appian's commitment to accelerating business processes. Michael is instrumental in leading initiatives like Appian Select, focusing on customer-centric strategies, and driving value engineering to articulate and deliver tangible benefits for clients. Topics Covered: The conversation spans various topics, from Appian's role in the process automation landscape to the importance of low-code development and its impact on addressing backlogs. Michael delves into the nuances of the Gartner Magic Quadrant, highlighting Appian's leadership in the industry. The episode also explores the challenges and opportunities in data practices, emphasizing Appian's approach to unifying data through its innovative Data Fabric. Additionally, Michael shares insights into upcoming industry trends, such as the adoption of AI and the movement towards tokenization and digital assets. Check our website: https://www.soarpay.com

Recently, one of our podcast hosts, Alex Danyluk was scrolling through LinkedIn and saw that AVANT's resident SASE expert, Sarah Arnstein, was compiling her own write-up on the very first Gartner Magic Quadrant for Single-Vendor SASE Report. From there, this episode was born! Dive into our new episode as Alex Danyluk, Managing Director of AVANT Analytics, and Sales Engineer Sarah Arnstein discuss what is going on in the SASE landscape. Listen in and discover how things have evolved even further since Gartner's SASE report landed, as well as some surprising takeaways our AVANT Analytics experts are sharing from the report!   Follow along with the Gartner report as you listen! Download their full report here >> https://www.gartner.com/en/documents/4639999   Learn more about SASE providers and features with Sarah's blog, “Get SASE with Sarah” >> https://getsasewithsarah.com/

Peder Ulander, Chief Marketing & Strategy Officer at MongoDB, joins Corey on Screaming in the Cloud to discuss how MongoDB is paving the way for innovation. Corey and Peder discuss how Peder made the decision to go from working at Amazon to MongoDB, and Peder explains how MongoDB is seeking to differentiate itself by making it easier for developers to innovate without friction. Peder also describes why he feels databases are more ubiquitous than people realize, and what it truly takes to win the hearts and minds of developers. About Peder Peder Ulander, the maestro of marketing mayhem at MongoDB, juggles strategies like a tech wizard on caffeine. As the Chief Marketing & Strategy Officer, he battles buzzwords, slays jargon dragons, and tends to developers with a wink. From pioneering Amazon's cloud heyday as Director of Enterprise and Developer Solutions Marketing to leading the brand behind cloud.com's insurgency, Peder's built a legacy as the swashbuckler of software, leaving a trail of market disruptions one vibrant outfit at a time. Peder is the Scarlett Johansson of tech marketing — always looking forward, always picking the edgy roles that drive what's next in technology.Links Referenced:MongoDB: https://mongodb.com TranscriptAnnouncer: Hello, and welcome to Screaming in the Cloud with your host, Chief Cloud Economist at The Duckbill Group, Corey Quinn. This weekly show features conversations with people doing interesting work in the world of cloud, thoughtful commentary on the state of the technical world, and ridiculous titles for which Corey refuses to apologize. This is Screaming in the Cloud.Corey: Welcome to Screaming in the Cloud. I'm Corey Quinn. This promoted guest episode of Screaming in the Cloud is brought to us by my friends and yours at MongoDB, and into my veritable verbal grist mill, they have sent Peder Ulander, their Chief Marketing Officer. Peder, an absolute pleasure to talk to you again.Peder: Always good to see you, Corey. Thanks for having me.Corey: So, once upon a time, you worked in marketing over at AWS, and then you transitioned off to Mongo to, again, work in marketing. Imagine that. Almost like there's a narrative arc to your career. A lot of things change when you change companies, but before we dive into things, I just want to call out that you're a bit of an aberration in that every single person that I have spoken to who has worked within your org has nothing but good things to say about you, which means you are incredibly effective at silencing dissent. Good work.Peder: Or it just shows that I'm a good marketer and make sure that we paint the right picture that the world needs to see.Corey: Exactly. “Do you have any proof of you being a great person to work for?” “No, just word of mouth,” and everyone, “Ah, that's how marketing works.”Peder: Exactly. See, I'm glad you picked up somewhere.Corey: So, let's dive into that a little bit. Why would you leave AWS to go work at Mongo. Again, my usual snark and sarcasm would come up with a half dozen different answers, each more offensive than the last. Let's be serious for a second. At AWS, there's an incredibly powerful engine that drives so much stuff, and the breadth is enormous.MongoDB, despite an increasingly broad catalog of offerings, is nowhere near that level of just universal applicability. Your product strategy is not a Post-It note with the word ‘yes' written on it. There are things that you do across the board, but they all revolve around databases.Peder: Yeah. So, going back prior to MongoDB, I think you know, at AWS, I was across a number of different things, from the developer ecosystem, to the enterprise transformation, to the open-source work, et cetera, et cetera. And being privy to how customers were adopting technology to change their business or change the experiences that they were delivering to their customers or increase the value of the applications that they built, you know, there was a common thread of something that fundamentally needed to change. And I like to go back to just the evolution of tech in that sense. We could talk about going from physical on-prem systems to now we're distributed in the cloud. You could talk about application constructs that started as big fat monolithic apps that moved to virtual, then microservices, and now functions.Or you think about networking, we've gone from fixed wire line, to network edge, and cellular, and what have you. All of the tech stack has changed with the exception of one layer, and that's the data layer. And I think for the last 20 years, what's been in place has worked okay, but we're now meeting this new level of scale, this new level of reach, where the old systems are not what's going to be what the new systems are built on, or the new experiences are built on. And as I was approached by MongoDB, I kind of sat back and said, “You know, I'm super happy at AWS. I love the learning, I love the people, I love the space I was in, but if I were to put my crystal ball together”—here's a Bezos statement of looking around corners—“The data space is probably one of the biggest spaces ripe for disruption and opportunity, and I think Mongo is in an incredible position to go take advantage of that.”Corey: I mean, there's an easy number of jokes to make about AmazonBasics MongoDB, which is my disparaging name for their DocumentDB first-party offering. And for a time, it really felt like AWS's perspective toward its partners was one of outright hostility, if not antagonism. But that narrative no longer holds true in 2023. There's been a definite shift. And to be direct, part of the reason that I believe that is the things you have said both personally and professionally in your role as CMO of Mongo that has caused me to reevaluate this because despite all of your faults—a counted list of which I can provide you after the show—Peder: [laugh].Corey: You do not say things that you do not believe to be true.Peder: Correct.Corey: So, something has changed. What is it?Peder: So, I think there's an element of coopetition, right? So, I would go as far as to say the media loved to sensationalize—actually even the venture community—loved to sensationalize the screen scraping stripping of open-source communities that Amazon represented a number of years ago. The reality was their intent was pretty simple. They built an incredibly amazing IT stack, and they wanted to run whatever applications and software were important to their customers. And when you think about that, the majority of systems today, people want to run open-source because it removes friction, it removes cost, it enables them to go do cool new things, and be on the bleeding edge of technology.And Amazon did their best to work with the top open-source projects in the world to make it available to their customers. Now, for the commercial vendors that are leaning into this space, that obviously does present itself threat, right? And we've seen that along a number of the cohorts of whether you want to call it single-vendor open-source or companies that have a heavy, vested interest in seeing the success of their enterprise stack match the success of the open-source stack. And that's, I think, where media, analysts, venture, all kind of jumped on the bandwagon of not really, kind of, painting that bigger picture for the future. I think today when I look at Amazon—and candidly, it'll be any of the hyperscalers; they all have a clone of our database—it's an entry point. They're running just the raw open-source operational database capabilities that we have in our community edition and making that available to customers.We believe there's a bigger value in going beyond just that database and introducing, you know, anything from the distributed zones to what we do around vector search to what we do around stream processing, and encryption and all of these advanced features and capabilities that enable our customers to scale rapidly on our platform. And the dependency on delivering that is with the hyperscalers, so that's where that coopetition comes in, and that becomes really important for us when we're casting our web to engage with some of the world's largest customers out there. But interestingly enough, we become a big drag of services for an AWS or any of the other hyperscalers out there, meaning that for every dollar that goes to a MongoDB, there's, you know, three, five, ten dollars that goes to these hyperscalers. And so, they're very active in working with us to ensure that, you know, we have fair and competing offers in the marketplace, that they're promoting us through their own marketplace as well as their own channels, and that we're working together to further the success of our customers.Corey: When you take a look at the exciting things that are happening at the data layer—because you mentioned that we haven't really seen significant innovation in that space for a while—one of the things that I see happening is with the rise of Generative AI, which requires very special math that can only be handled by very special types of computers. I'm seeing at least a temporary inversion in what has traditionally been thought of as data gravity, whereas it's easier to move compute close to the data, but in this case, since the compute only lives in the, um, sparkling us-east-1 regions of Virginia, otherwise, it's just generic, sparkling expensive computers, great, you have to effectively move the mountain to Mohammed, so to speak. So, in that context, what else is happening that is driving innovation in the data space right now?Peder: Yeah, yeah. I love your analogy of, move the mountain of Mohammed because that's actually how we look at the opportunity in the whole Generative AI movement. There are a lot of tools and capabilities out there, whether we're looking at code generation tools, LLM modeling vendors, some of the other vector database companies that are out there, and they're all built on the premise of, bring your data to my tool. And I actually think that's a flawed strategy. I think that these are things that are going to be features in core application databases or operational databases, and it's going to be dependent on the reach and breadth of that database, and the integrations with all of these AI tools that will define the victor going forward.And I think that's been a big core part of our platform. When we look at Atlas—111 availability zones across all three hyperscalers with a single, unified, you know, interface—we're actually able to have the customers keep their operational data where it's most important to them and then apply the tools of the hyperscalers or the partners where it makes the most sense without moving the data, right? So, you don't actually have to move the mountain to Mohammed. We're literally building an experience where those that are running on MongoDB and have been running on MongoDB can gain advantage of these new tools and capabilities instantly, without having to change anything in their architectures or how they're building their applications.Corey: There was a somewhat over-excited… I guess, over-focus in the space of vector databases because whatever those are—which involves math, and I am in no way shape, or form smart enough to grasp the nuances thereof, but everyone assures me that it's necessary for Generative AI and machine learning and yadda, yadda, yadda. So, when in doubt, when I'm confronted by things I don't fully understand, I turn to people who do. And the almost universal consensus that I have picked up from people who track databases for a living—as opposed to my own role of inappropriately using everything in the world except databases as a database—is that vector is very much a feature, not a core database type.Peder: Correct. The best way to think about it—I mean, databases in general, they're dealing with structured and unstructured data, and generally, especially when you're doing searches or relevance, you're limited to the fact that those things in the rows and the columns or in the documents is text, right? And the reality is, there's a whole host of information that can be found in metadata, in images, in sounds, in all of these other sources that were stored as individual files but unsearchable. Vector, vectorization, and vector embeddings actually enable you to take things far beyond the text and numbers that you traditionally were searching against and actually apply more, kind of, intelligence to it, or apply sounds or apply sme—you know, you can vectorize smells to some extent. And what that does is it actually creates a more pleasing slash relevant experience for how you're actually building the engagements with your customers.Now, I'll make it a little more simple because that was trying to define vectors, which as you know, is not the easiest thing. But imagine being able to vectorize—let's say I'm a car company—we're actually working with a car company on this—and you're able to store all of the audio files of cars that are showing certain diagnostic issues—the putters and the spurts and the pings and the pangs—and you can actually now isolate these sounds and apply them directly to the problem and resolution for the mechanics that are working on them. Using all of this stuff together, now you actually have a faster time to resolution. You don't want mechanics knowing the mechanics of vectors in that sense, right, so you build an application that abstracts all of that complexity. You don't require them to go through PDFs of data and find all of the options for fixing this stuff.The relevance comes back and says, “Yes, we've seen that sound 20 times across this vehicle. Here's how you fix it.” Right? And that cuts significant amount of time, cost, efficiency, and complexity for those auto mechanics. That is such a big push forward, I think, from a technology perspective, on what the true promise of some of these new capabilities are, and why I get excited about what we're doing with vector and how we're enabling our customers to, you know, kind of recreate experiences in a way that are more human, more relevant.Corey: Now, I have to say that of course you're going to say nice things about your capabilities where vector is concerned. You would be failing in your job if you did not. So, I feel like I can safely discount every positive thing that you say about Mongo's positioning in the vector space and instead turn to, you know, third parties with no formalized relationship with you. Yesterday, Retool's State of AI report came across my desk. I am a very happy Retool customer. They've been a periodic sponsor, from time-to-time, of my ridiculous nonsense, which is neither here nor there, but I want to disclaim the relationship.And they had a Gartner Magic Quadrant equivalent that on one axis had Net Promoter Score—NPS, which is one of your people's kinds of things—and the other was popularity. And Mongo was so far up and to the right that it was almost hilarious compared to every other entrant in the space. That is a positioning that I do not believe it is possible to market your way into directly. This is something that people who are actually doing these things have to use the product, and it has to stand up. Mongo is clearly effective at doing this in a way that other entrants aren't. Why?Peder: Yeah, that's a good question. I think a big part of that goes back to the earlier statement I made that vector databases or vector technology, it's a feature, it's not a separate thing, right? And when I think about all of the new entrants, they're creating a new model where now you have to move your data out of your operational database and into their tool to get an answer and then push back in. The complexity, the integrations, the capabilities, it just slows everything down, right? And I think when you look at MongoDB's approach to take this developer data platform vision of getting all of the core tools that developers need to build compelling applications with from a data perspective, integrating it into one seamless experience, we're able to basically bring classic operational database capabilities, classic text search type capabilities, embed the vector search capabilities as well, it actually creates a richer platform and experience without all of that complexity that's associated with bolt-on sidecar Gen AI tool or vector database.Corey: I would say that that's one of those things that, again, can only really be credibly proven by what the market actually does, as opposed to, you know, lip-sticking the heck out of a pig and hoping that people don't dig too deeply into what you're saying. It's definitely something we're seeing adoption of.Peder: Yeah, I mean, this kind of goes to some of the stuff, you know, you pointed out, the Retool thing. This is not something you can market your way into. This is something that, you know, users are going to dictate the winners in this space, the developers, they're going to dictate the winners in the space. And so, what do you have to do to win the hearts and minds of developers, you have to make the tech extremely approachable, it's got to be scalable to meet their needs, not a lot of friction involved in learning these new capabilities and applying it to all of the stuff that has come before. All of these things put together, really focusing on that developer experience, I mean, that goes to the core of the MongoDB ethos.I mean, this is who we were when we started the company so long ago, and it's continued to drive the innovation that we do in the platform. And I think this is just yet again, another example of focusing on developer needs, making it super engaging and useful, removing the friction, and enabling them to just go create new things. That's what makes it so fun. And so when, you know, as a marketer, and I get the Retool chart across my desk, we haven't been pitching them, we haven't been marketing to them, we haven't tried to influence this stuff, so knowing that this is a true, unbiased audience, actually is pretty cool to see. To your point, it was surprising how far up and to the right that we sat, given, you know, where we were in just—we launched this thing… six months ago? We launched it in June. The amount of customers that have signed up, are using it, and engaged with us on moving forward has been absolutely amazing.Corey: I think that there has been so much that gets lost in the noise of marketing. My approach has always been to cut through so much of it—that I think AWS has always done very well with—is—almost at their detriment these days—but if you get on stage, you can say whatever you want about your company's product, and I will, naturally and lovingly, make fun of whatever it is that you say. But when you have a customer coming on stage and saying, “This is how we are using the thing that they have built to solve a very specific business problem that was causing us pain,” then I shut up, and I listen because it's very hard to wind up dismissing that without being an outright jerk about things. I think the failure mode of that is, taken too far, you lose the ability to tell your own story in a coherent way, and it becomes a crutch that becomes very hard to get rid of. But the proof is really in the pudding.For me, like, the old jokes about—in the early teens—where MongoDB would periodically lose data as configured by default. Like, “MongoDB. It's Snapchat for databases.” Hilarious joke at the time, but it really has worn thin. That's like being angry about what Microsoft did in 2005 and 2006. It's like, “Yeah, okay, you have a point, but it is also ancient history, and at some point you need to get with the modern era, get with the program.”And I think that seeing the success and breadth of MongoDB that I do—you are in virtually every customer that I talk to, in some way, shape, or form—and seeing what it is that they're doing with you folks, it is clear that you are not a passing fad, that you are not going away anytime soon.Peder: Right.Corey: And even with building things in my spare time and following various tutorials of dubious credibility from various parts of the internet—as those things tend to go—MongoDB is very often a default go-to reference when someone needs a database for which a SQLite file won't do.Peder: Right. It's fascinating to see the evolution of MongoDB, and today we're lucky to track 45,000-plus customers on our platform doing absolutely incredible things. But I think the biggest—to your point—the biggest proof is in the pudding when you get these customers to stand up on stage and talk about it. And even just recently, through our .local series, some of the customers that we've been highlighting are doing some amazing things using MongoDB in extremely business-critical situations.My favorite was, I was out doing our .local in Hong Kong, where Cathay Pacific got up on stage, and they talked a little bit about their flight folder. Now, if you remember going through the airport, you always see the captains come through, and they had those two big boxes of paperwork before they got onto the plane. Not only was that killing the environment with all the trees that got cut down for it, it was cumbersome, complex, and added a lot of time and friction with regards to flight operations. Now, take that from a single flight over all of the fleet that's happening across the world.We were able to work with Cathay Pacific to digitize their entire flight folder, all of their documentation, removing the need for cutting down trees and minimizing a carbon footprint form, but at the same time, actually delivering a solution where if it goes down, it grounds the entire fleet of the airline. So, imagine that. That's so business-critical, mission-critical, has to be there, reliable, resilient, available for the pilots, or it shuts down the business. Seeing that growth and that transformation while also seeing the environmental benefit for what they have achieved, to me, that makes me proud to work here.Similarly, we have companies like Ford, another big brand-name company here in the States, where their entire connected car experience and how they're basically operationalizing the connection between the car and their home base, this is all being done using MongoDB as well. So, as they think of these new ideas, recognizing that things are going to be either out at the edges or at a level of scale that you can't just bring it back into classic rows and columns, that's actually where we're so well-suited to grow our footprint. And, you know, I remember back to when I was at Sun—Sun Microsystems. I don't know if anybody remembers that company. That was an old one.But at one point, it was Jonathan that said, “Everything of value connects to the network.” Right? Those things that are connecting to the network also need applications, they need data, they need all of these services. And the further out they go, the more you need a database that basically scales to meet them where they are, versus trying to get them to come back to where your database happens to sit. And in order to do that, that's where you break the mold.That's where—I mean, that kind of goes into the core ethos of why we built this company to begin with. The original founders were not here to build a database; they were building a consumer app that needed to scale to the edges of the earth. They recognized that databases didn't solve for that, so they built MongoDB. That's actually thinking ahead. Everything connecting to the network, everything being distributed, everything basically scaling out to all the citizens of the planet fundamentally needs a new data layer, and that's where I think we've come in and succeeded exceptionally well.Corey: I would agree. Another example I like to come up with, and it's fun that the one that leaps to the top of my mind is not one of the ones that you mentioned, but HSBC—the massive bank—very publicly a few years ago, wound up consolidating, I think it was 46 relational databases onto MongoDB. And the jokes at the time wrote themselves, but let's be serious for a second. Despite the jokes that we all love to tell, they are a bank, a massive bank, and they don't play fast-and-loose or slap-and-tickle with transactional integrity or their data stores for these things.Because there's a definite belief across the banking sector—and I know this having worked in it myself for years—that if at some point, you have the ATMs spitting out the wrong account balances, people will begin rioting in the streets. I don't know if that's strictly accurate or hyperbole, but it's going to cause massive amounts of chaos if it happens. So, that is something that absolutely cannot happen. The fact that they're willing to engage with you folks and your technology and be public about it at that scale, that's really all you need to know from a, “Is this serious technology or clown shoes technology?”Peder: [laugh]. Well, taking that comment, now let's exponentially increase that. You know, if I sit back, and I look at my customer base, financial services is actually one of our biggest verticals as a business. And you mentioned HSBC. We had Wells Fargo on the stage last year at our world event.Nine out of the top ten world's banks are using MongoDB in some of their applications, some at the scale of HSBC, some are still just getting started. And it all comes down to the fact that we have proven ourselves, we are aligned to mission-critical business environments. And I think when it comes down to banks, especially that transactional side, you know, building in the capabilities to be able to have high frequency transactions in the banking world is a hard thing to go do, and we've been able to prove it with some of the largest banks on the planet.Corey: I also want to give you credit—although it might be that I'm giving you credit for a slow release process; I hope not—but when I visit mongodb.com, it still talks up front that you are—and I want to quote here—oh, good lord, it changes every time I load the page—but it talks about, “Build faster, build smarter,” on this particular version of the load. It talks about the data platform. You have not effectively decided to pivot everything you say in public to tie directly into the Generative AI hype bubble that we are currently experiencing. You have a bunch of different use cases, and you're not suddenly describing what you do in Gen AI terms that make it impossible to understand just what the company-slash-product-slash-services actually do.Peder: Right.Corey: So, I want to congratulate you on that.Peder: Appreciate that, right? Look, it comes down to the core basics. We are a developer data platform. We bring together all of the capabilities, tools, and functions that developers need when building apps as it pertains to their data functions or data layer, right? And that's why this integrated approach of taking our operational database and building in search, or stream processing, or vector search, all of the things that we're bringing to the platform enable developers to move faster. And what that says is, we're great for all use cases out there, not just Gen AI use cases. We're great for all use cases where customers are building applications to change the way that they're engaging with the customers.Corey: And what I like about this is that you're clearly integrating this stuff under the hood. You are talking to people who are building fascinating stuff, you're building things yourself, but you're not wrapping yourself in the mantle of, “This is exactly what we do because it's trendy right now.” And I appreciate that. It's still intelligible, and I wouldn't think that I had to congratulate someone on, “Wow, you build marketing that a human being can extract meaning from. That's amazing.” But in 2023, the closing days thereof, it very much is.Peder: Yep, yep. And it speaks a lot to the technology that we've built because, you know, on one side—it reminds me a lot of the early days of cloud where everything was kind of cloud-washed for a bit, we're seeing a little bit of that in the hype cycle that we have right now—sticking to our guns and making sure that we are building a technology platform that enables developers to move quickly, that removing the friction from the developer lifecycle as it pertains to the data layer, that's where the success is right, we have to stay on top of all of the trends, we have to make sure that we're enabling Gen AI, we have to make sure that we're integrating with the Amazon Bedrocks and the CodeWhisperers of the world, right, to go push this stuff forward. But to the point we made earlier, those are capabilities and features of a platform where the higher-level order is to really empower our customers to develop innovative, disruptive, or market-leading technologies for how they engage with their customers.Corey: Yeah. And that it's neat to be able to see that you are empowering companies to do that without feeling the need to basically claim their achievements as your own, which is an honest-to-God hard thing to do, especially as you become a platform company because increasingly, you are the plumbing that makes a lot of the flashy, interesting stuff possible. It's imperative, you can't have those things without the underlying infrastructure, but it's hard to talk about that infrastructure, too.Peder: You know, it's funny, I'm sure all of my colleagues would hate me for saying this, but the wheel doesn't turn without the ball bearing. Somebody still has to build the ball bearing in order for that sucker to move, right? And that's the thing. This is the infrastructure, this is the heart of everything that businesses need to build applications. And one of the—you know, another kind of snide comment I've made to some of my colleagues here is, if you think about every market-leading app, in fact, let's go to the biggest experiences you and I use on a daily basis, I'm pretty sure you're booking travel online, you're searching for stuff on Google, you're buying stuff through Amazon, you're renting a house through Airbnb, and you're listening to your music through Spotify. What are those? Those are databases with a search engine.Corey: The world is full of CRUD applications. These are, effectively, simply pretty front-ends to a database. And as much as we'd like to pretend otherwise, that's very much the reality of it. And we want that to be the case. Different modes of interaction, different requirements around them, but yeah, that is what so much of the world is. And I think to ignore that is to honestly blind yourself to a bunch of very key realities here.Peder: That kind of goes back to the original vision for when I came here. It's like, look, everything of value for us, everything that I engage with, is—to your point—it's a database with a great experience on top of it. Now, let's start to layer in this whole Gen AI push, right, what's going on there. We're talking about increased relevance in search, we're talking about new ways of thinking about sourcing information. We've even seen that with some of the latest ChatGPT stuff that developers are using that to get code snippets and figure out how to solve things within their platform.The era of the classic search engine is in the middle of a complete change, and the opportunity, I think, that I see as this moves forward is that there is no incumbent. There isn't somebody who owns this space, so we're just at the beginning of what probably will be the next. Google's, Airbnb's, and Uber's of the world for the next generation. And that's really exciting to see.Corey: I'm right there with you. What are the interesting founding stories at Google is that they wound up calling typical storage vendors for what they needed, got basically ‘screw on out of here, kids,' pricing, so they shrugged, and because they had no real choice to get enterprise-quality hardware, they built a bunch of highly redundant systems on top of basically a bunch of decommissioned crap boxes from the university they were able to more or less get for free or damn near it, and that led to a whole innovation in technology. One of the glorious things about cloud that I think goes under-sold is that I can build a ridiculous application tonight for maybe, what, 27 cents IT infrastructure spend, and if it doesn't work, I round up to dollar, it'll probably get waived because it'll cost more to process the credit card transaction than take my 27 cents. Conversely, if it works, I'm already building with quote-unquote, “Enterprise-grade” components. I don't need to do a massive uplift. I can keep going. And that is no small thing.Peder: No, it's not. When you step back, every single one of those stories was about abstracting that complexity to the end-user. In Google's case, they built their own systems. You or I probably didn't know that they were screwing these things together and soldering them in the back room in the middle of the night. Similarly, when Amazon got started, that was about taking something that was only accessible to a few thousand and now making it accessible to a few million with the costs of 27 cents to build an app.You removed the risk, you removed the friction from enabling a developer to be able to build. That next wave—and this is why I think the things we're doing around Gen AI, and our vector search capabilities, and literally how we're building our developer data platform is about removing that friction and limits and enabling developers to just come in and, you know, effectively do what they do best, which is innovate, versus all of the other things. You know, in the Google world, it's no longer racking and stacking. In the cloud world, it's no longer managing and integrating all the systems. Well, in the data world, it's about making sure that all of those integrations are ready to go and at your fingertips, and you just focus on what you do well, which is creating those new experiences for customers.Corey: So, we're recording this a little bit beforehand, but not by much. You are going to be at re:Invent this year—as am I—for eight nights—Peder: Yes.Corey: Because for me at least, it is crappy cloud Hanukkah, and I've got to deal with that. What have you got coming up? What do you plan to announce? Anything fun, exciting, or are you just there basically, to see how many badges you can actually scan in one day?Peder: Yeah [laugh]. Well, you know, it's shaping up to be quite an incredible week, there's no question. We'll see what brings to town. As you know, re:Invent is a huge event for us. We do a lot within that ecosystem, a lot of the customers that are up on stage talking about the cool things they're doing with AWS, they're also MongoDB customers. So, we go all out. I think you and I spoke before about our position there with SugarCane right on the show floor, I think we've managed to secure you a Friends of Peder all-access pass to SugarCane. So, I look forward to seeing you there, Corey.Corey: Proving my old thesis of, it really is who you know. And thank you for your generosity, please continue.Peder: [laugh]. So, we will be there in full force. We have a number of different innovation talks, we have a bunch of community-related events, working with developers, helping them understand how we play in the space. We're also doing a bunch of hands-on labs and design reviews that help customers basically build better, and build faster, build smarter—to your point earlier on some of the marketing you're getting off of our website. But we're also doing a number of announcements.I think first off, it was actually this last week, we made the announcement of our integrations with Amazon—or—yeah, Amazon CodeWhisperer. So, their code generation tool for developers has now been fully trained on MongoDB so that you can take advantage of some of these code generation tools with MongoDB Atlas on AWS. Similarly, there's been a lot of noise around what Amazon is doing with Bedrock and the ability to automate certain tasks and things for developers. We are going to be announcing our integrations with Agents for Amazon Bedrock being supported inside of MongoDB Atlas, so we're excited to see that, kind of, move forward. And then ultimately, we're really there to celebrate our customers and connect them so that they can share what they're doing with many peers and others in the space to give them that inspiration that you so eloquently talked about, which is, don't market your stuff; let your customers tell what they're able to do with your stuff, and that'll set you up for success in the future.Corey: I'm looking forward to seeing what you announce in conjunction with what AWS announces, and the interplay between those two. As always, I'm going to basically ignore 90% of what both companies say and talk instead to customers, and, “What are you doing with it?” Because that's the only way to get truth out of it. And, frankly, I've been paying increasing amounts of attention to MongoDB over the past few years, just because of what people I trust who are actually good at databases have to say about you folks. Like, my friends at RedMonk always like to say—I've stolen the line from them—“You can buy my attention, but not my opinion.”Peder: A hundred percent.Corey: You've earned the opinion that you have, at this point. Thank you for your sponsorship; it doesn't hurt, but again, you don't get to buy endorsements. I like what you're doing. Please keep going.Peder: No, I appreciate that, Corey. You've always been supportive, and definitely appreciate the opportunity to come on Screaming in the Cloud again. And I'll just push back to that Friends of Peder. There's, you know, also a little bit of ulterior motive there. It's not just who you know, but it's [crosstalk 00:34:39]—Corey: It's also validating that you have friends. I get it. I get it.Peder: Oh yeah, I know, right? And I don't have many, but I have a few. But the interesting thing there is we're going to be able to connect you with a number of the customers doing some of these cool things on top of MongoDB Atlas.Corey: I look forward to it. Thank you so much for your time. Peder Ulander, Chief Marketing Officer at MongoDB. I'm Cloud Economist Corey Quinn and this has been a promoted guest episode of Screaming in the Cloud, brought to us by our friends at Mongo. If you've enjoyed this podcast, please leave a five-star review on your podcast platform of choice, whereas if you've hated this podcast, please leave a five-star review in your podcast platform of choice, along with an angry, insulting comment that I will ignore because you basically wrapped it so tightly in Generative AI messaging that I don't know what the hell your point is supposed to be.Corey: If your AWS bill keeps rising and your blood pressure is doing the same, then you need The Duckbill Group. We help companies fix their AWS bill by making it smaller and less horrifying. The Duckbill Group works for you, not AWS. We tailor recommendations to your business, and we get to the point. Visit duckbillgroup.com to get started.

October 2023 brought some spooky new offerings: Power Apps leader in 2023 Gartner® Magic Quadrant for Enterprise Low-Code Applications Platform, Video search improvements, new Intelligence & Search admin homepage, OneDrive colorful folders, New Microsoft Teams, Viva Goals + Planner, SharePoint: BCS retirement in Microsoft 365, and much much mwahahaaaa more. We talk with Miceile Barrett and Arvind Mishra, Principal product managers on the OneDrive team about recently released features like colorful folders and new shared views for People and Meetings. And we dive into the Oct. 3rd moment focused on all the news and announcements about what's next for OneDrive - including Copilot in OneDrive, full OneDrive experiences in Teams and Outlook, the new "Open in app" feature, and more. Boo!   Read this episode's corresponding blog post. Plus, click here for transcript of this episode.   02:28 Employee engagement 07:52 Conversation with Miceile Barrett and Arvind Mishra (from the OneDrive team) 28:33 Teamwork 33:03 Related Technology 38:01 Events 40:54 Teasers   Miceile Barrett | LinkedIn | X Arvind Mishra | LinkedIn SharePoint | Facebook | @SharePoint | SharePoint Community Blog | Feedback Mark Kashman |@mkashman [co-host] Chris McNulty |@cmcnulty2000 [co-host]   Microsoft Docs - The home for Microsoft documentation for end users, developers, and IT professionals.  Microsoft Tech Community Home Stay on top of Office 365 changes   Upcoming events: 365 EduCon - Chicago | Oct.30 - Nov.4, 2023 (Chicago, IL) Community Days - Mexico City | Nov.2.2023 (HOTEL GALERÍA PLAZA REFORMA) Microsoft Ignite | Nov. 14-17, 2023 (Hybrid: Seattle, WA and online) CollabDays - Lisbon @CollabDaysLIS | Nov. 25 (Lisbon, Portugal (ISCTE-IUL)) European SharePoint Conference | Nov.27-30 in (Amsterdam, Netherlands)   Discover and follow other Microsoft podcasts at aka.ms/microsoft/podcasts.   Follow the Intrazone at aka.ms/TheIntrazone.

This time we bring you news and updates for Power Automate mostly, but also the notification about the missing Environment Variable and how it's tied to the Dataverse Low Code Plugins now being public preview. Nick did the Microsoft Applied Skills challenge and Ulrikke shouts out to community friends for helping her through tough times.NewsMicrosoft again named a Leader in the 2023 Gartner® Magic Quadrant™ for Enterprise Low-Code Application Platforms­­Dataverse Low Code Plug-ins now in public previewAnnouncing Microsoft Applied Skills, the new credentials to verify in-demand technical skillsDeeper control over HTTP invocation of flowsMicrosoft Power Automate work queues are generally availableConnect to other environments using the Microsoft Dataverse connectorCreate a topic with Power Virtual Agent Copilot Prompt by Ben den Blanken Shout OutsXrmToolCast: Microsoft MVP vs Blue Badge with Nick DoelmanResco Panel Discussion: The Future of D365 Mobility: Dataverse, Power Platform, AI, and beyondFranco Musso's blog post: Get full resolution images in your Power Pages Lists EventsPortallunsj (November 15th 2023)Arctic Cloud Developer Challenge (February 1st-4th 2024)Fabric February 2024 (February 8th 2024) #BOOSTquestPower Platform BOOST Podcast on LinkedIn Thank you for bBe sure to subscribe so you don't miss a single episode of Power Platform BOOST!Thank you for buying us a coffee: buymeacoffee.comPodcast home page: https://powerplatformboost.comEmail: hello@powerplatformboost.comFollow us!Twitter: https://twitter.com/powerplatboost Instagram: https://www.instagram.com/powerplatformboost/ LinkedIn: https://www.linkedin.com/company/powerplatboost/ Facebook: https://www.facebook.com/profile.php?id=100090444536122 Mastodon: https://mastodon.social/@powerplatboost

This month George, Rich and AJ tackle the latest Gartner Magic Quadrant for SAM Managed Services, the role of AI in ITAM, insights from nearly a year of Oracle's seismic Java licensing changes, and why Ofcom has been shaking its fist at the UK public cloud market. Oh and why Pinochet makes for the unexpected protagonist in one of AJ's top vampire films ever.

We love a good chart, and every year, Gartner provides us with one that gets a *lot* of buzz. In this episode, Aaron Sheehan joins Phillip to unpack and unlock the mysteries and myths of the Magic Quadrant and ways it can benefit those having a look and those who have been placed on it. Why is context so important in understanding this and other reports, and why doesn't anyone talk about The Critical Capabilities report that comes out simultaneously? Listen now to this insightful discussion!Smoke-Filled Rooms{00:17:05} - “These methodologies get a little calcified probably over time, but that's by at some level design. They're not meant to be sort of continually updated because they're meant to be a point of comparison year over year.” - Aaron{00:18:36} - “If Gartner or Forrester or whoever had a completeness of vision rubric, let's say they understand every single vendor's vision, their roadmap, and where they are on their progression of the roadmap, then in reality, every point on this quadrant, at least on the Gartner Magic Quadrant, is not relative to each other, but relative to their product roadmap.” - Phillip{00:26:37} - “It's not about movement within a fixed scale, it's that the scale is constantly moving in both directions and your velocity as a business and your total addressable market as a business determine where you stay on that stretching canvas.” - Phillip{00:26:56} - “Like a lot of human endeavor, the analyst reports are an attempt to impose a scientific rigor on what is often a somewhat emotional set of judgment calls.” - Aaron{00:38:00} - “It probably hurts you not to show up and participate in the RFI because you lose the chance to present your vision and your roadmap and cast yourself in the best light to the analysts. So that's a good thing for you to do if you are wanting to rank well.” - Aaron{00:57:57} - “The more specific context you can bring into your graphic, the better, the more useful your two-dimensional graphic probably is because that context is the actual third dimension in that 3D visualization that I was advocating for at the beginning. It's the context that helps you interpret the graphic.” - AaronAssociated Links:The long-form breakdown of the 2023 Gartner Magic Quadrant for Commerce Platforms — from Cocktails and Commerce by Brian WalkerThe 2021-2023 comparison chart of the Gartner Magic Quadrant for Commerce Platforms by Slava Kravchuk, CEO of AtwixGrab your copy of The Multiplayer Brand for just $20 with free shipping in the U.S.Have you checked out our YouTube channel yet?Subscribe to Insiders and The Senses to read more about what we are witnessing in the commerce worldListen to our other episodes of Future CommerceHave any questions or comments about the show? Let us know on futurecommerce.com, or reach out to us on Twitter, Facebook, Instagram, or LinkedIn. We love hearing from our listeners!

AWS Morning Brief for the week of August 14, 2023, with Corey Quinn. Links: Amazon's approach to RTO Amazon Interactive Video Service announces Real-Time Streaming  Amazon MSK Serverless expands availability to three additional AWS Regions Amazon VPC now supports primary IPv6 address on an elastic network interface AWS Artifact launches email notifications  Announcing AWS Backup logically air-gapped vault (Preview)  Mountpoint for Amazon S3 is now generally available  Network Load Balancer now supports security groups  Using response streaming with AWS Lambda Web Adapter to optimize performance  AWS recognized as a Leader in 2023 Gartner Magic Quadrant for Contact Center as a Service with Amazon Connect 

Bart De Muynck and Joe Lynch discuss the connective tissue of the supply chain, which is a reference to project44. As the supply chain connective tissue, project44 operates the most trusted end-to-end visibility platform, tracking over 1 billion shipments annually for the world's leading brands. Bart is Chief Industry Officer at project44 where he drives supply chain industry thought leadership and supports customers with their logistics and supply chain strategies. About Bart De Muynck Bart De Muynck is a Strategic Advisor and the previous Chief Industry Officer at project44 where he drives supply chain industry thought leadership and supports CEO Jett McCandless and the executive team. A logistics industry thought leader with over 30 years of experience, Bart previously served as VP of Research at Gartner. He is a frequent speaker at industry events and has contributed to publications including WSJ, Freightwaves, Inbound Logistics, Logistics Management, DC Velocity, Transport Topics, and Bloomberg. Bart is also a member of the WEF, SCLA, CSCMP and TIA. Earlier in his career, Bart held logistics roles with PepsiCo, Elemica, Penske Logistics, GE Capital, and EY. About project44 project44 is a visibility company dedicated to optimizing supply chains and improving the movement of products globally. They are on a mission to make supply chains work by delivering better resiliency, sustainability, and value for their customers. As the supply chain connective tissue, project44 operates the most trusted end-to-end visibility platform, tracking over 1 billion shipments annually for the world's leading brands. They have achieved significant recognition in the market, including being named a Leader in the Gartner Magic Quadrant and ranking #1 on FreightWaves' FreightTech 25 for 2022. Project44 is the world's most robust multimodal network, operating in over 170 countries and more than 20 languages. Headquartered in Chicago, they have a diverse and global workforce with offices in various locations worldwide. Key Takeaways: The Connective Tissue of the Supply Chain Project44 is a visibility company dedicated to optimizing supply chains and improving the movement of products globally. The company's mission is to make supply chains work, delivering better resiliency, sustainability, and value for its customers. Project44 operates the most trusted end-to-end visibility platform, tracking over 1 billion shipments annually for the world's top brands. The company has been recognized as a Leader in the Gartner Magic Quadrant and has achieved top customer ratings on G2. Project44 has been ranked #1 on FreightWaves' FreightTech 25 for 2022 and named a Customer's Choice in Gartner Peer Insights' Voice of the Customer. It achieved Tech Unicorn Status in June 2021 and raised $420M in Series F Funding led by Goldman Sachs, Thoma Bravo, and TPG. Project44 has a presence in over 170 countries and operates in more than 20 languages, making it the world's most robust multimodal network. It offers global and multimodal connectivity, allowing supply chain and logistics professionals to track inventory across various modes of transportation. Headquartered in Chicago, project44 has a diverse and fast-growing global workforce, with offices in multiple locations worldwide. Whether you're looking to transform your supply chain or join a winning team that solves complex supply chain challenges, project44 is the company to consider. Learn More About The Connective Tissue of the Supply Chain Bart on LinkedIn project44 on LinkedIn project44 website Sponsor: Tusk Logistics Tusk Logistics is a national network of the best regional parcel carriers that puts Shippers first, with lower costs, reliable service, and proactive support. Tusk save Shippers 40% or more on small parcel shipping. Tusk's technology connects your parcel operation to a national network of vetted regional carriers, all with pre-negotiated rates and reliable, predictable service. Integrating to your existing software takes minutes, and Tusk has your back with proactive shipper support on each parcel, in real time. Episode Sponsor: Greenscreens.ai Greenscreens.ai's dynamic pricing infrastructure built to grow and protect margins. The Greenscreens.ai solution combines aggregated market data and customer data with advanced machine learning techniques to deliver short-term predictive freight market pricing specific to a company's individual buy and sell behavior. The Logistics of Logistics Podcast If you enjoy the podcast, please leave a positive review, subscribe, and share it with your friends and colleagues. The Logistics of Logistics Podcast: Google, Apple, Castbox, Spotify, Stitcher, PlayerFM, Tunein, Podbean, Owltail, Libsyn, Overcast Check out The Logistics of Logistics on Youtube

Today I'm joined by Esker, a long-standing software brand that is on a mission to build a foundation that promotes positive-sum growth, increased productivity, improved employee engagement, and greater trust between organizations. Esker is a global cloud platform built to unlock strategic value for finance and customer service professionals and strengthen collaboration between companies by automating the cash conversion cycle. By developing AI-driven technologies and automating the order-to-cash and procure-to-pay cycles, Esker frees up finance and customer service professionals from time-consuming tasks, helps them be more efficient, and enables them to develop new skills. Today Daniel Reeve, US Director of Sales and Business Development at Esker, joins me to chat all about the company and what they do; the power of positive-sum growth; bringing people and technology together in harmony; and why not all cloud platforms are created equal.   IN THIS EPISODE WE DISCUSS:   [07.02] An introduction to Esker – who they are, what they do and how they help their customers. “Folks are turning to us when they're trying to free up their staff to be rockstars!” [08.17] Esker's mission, what sets them apart from the competition and why they're ‘more than just another cloud platform.' “We've often been seen as best-of-breed… but, increasingly, companies are realizing “wow, you guys are best of suite”… Companies are looking to put technology in place that leverages and enhances their ERP and improves the experience for the customers, suppliers and staff.” [10.47] Esker's commitment to ‘positive-sum growth,' and what that means for brands, their employees, customers, suppliers – and for the planet. “The concept is 'how do I put technology in, that brings efficiency and automation within my enterprise, without making it painful for my customers and suppliers?'” [15.14] Why digital transformation projects are often unsuccessful, and Esker's refreshing approach to providing close and ongoing customer support and training. “Technology promises great outcomes, great efficiencies, great savings, great visibility – but there's work involved to make that happen.” [16.53] A closer look at Esker's Procure-To-Pay solution, named in the 2022 Gartner Magic Quadrant report for P2P suites. [19.29] Esker's Order-to-Cash solution, and how their technology facilitates collaboration and optimization to bring people and processes together and enhance customer experience. [26.54] What integration looks like with Esker. [29.24] Why Esker's range of technology includes robotic process automation, AI and mobile functionality, but also supports traditional tech like fax and Excel; and the importance of finding the balance between helping to drive innovation and digitization in the industry, and meeting customers where they are. “Quite often, when you put technology in, there's a dip… I don't think people are resistant to technology just because they're resistant. A lot of the time, they're so busy and everything is so pressured… you need to hold their hand and guide them and make it super easy for them to adapt that technology.” [31.36] The ideal client for Esker. “If folks care about a user experience and a workflow that's easy... they will often choose Esker over others.” [36.04] A case study detailing how Esker's technology helped a key client to reduce order entry time from 10 minutes to 10 seconds, which allowed them to free up their people to better serve customers and ultimately achieve high levels of growth. [39.04] The future for Esker.   Guest Bio:   Dan Reeve is a Sales Director, approaching 22 years with Esker. Dan works to help companies free up front-line troops to be finance and customer service rockstars through the application of machine learning and AI. Dan was fortunate to serve 10 years as a Combat Engineer in the British Army, then was attached to the Wisconsin Army National Guard. He traveled the world, served alongside Americans and many others, and learned everyone has a good idea, every Army unit thinks they are better, and what can you learn and apply so that you are indeed better prepared and more professional next time.   RESOURCES AND LINKS MENTIONED:   Head over to Esker's website now to find out more and discover how they could help you too. You can also connect with Esker and keep up to date with the latest over on LinkedIn, Twitter, Instagram, Facebook or YouTube, or you can connect with Dan on LinkedIn. If you enjoyed this episode, why not listen to 257: Creating Supply Chain Stability with Dual Sourcing and S&OP or read The Three Biggest Challenges For Procurement – And What To Do About Them. Check out our other podcasts HERE.

This bonus episode features an interview with Steve Riley, Field CTO of Netskope. Steve is a widely-renowned expert speaker, author, researcher, and analyst. Prior to Netskope, Steve came from Gartner, where for five years he maintained a collection of cloud security research that included the Magic Quadrant for Cloud Access Security Brokers and the Market Guide for Zero Trust Network Access.In this episode, Mike and Steve discuss the Gartner® Magic Quadrant™ for Security Service Edge (SSE), Netskope's positioning, and how the current economic climate will impact the SASE journey.Get your complimentary copy of the 2023 Gartner Critical Capabilities for Security Service Edge report and review the 2023 Gartner Magic Quadrant for Security Service Edge-----------------“I would say that there's a lot of power in the singles. The single policy framework, the single console, the single agent. I've talked to a lot of folks who complain about having to log into multiple consoles, multiple single panes of glass, as some people might want to say. And they love the fact that when they come to Netskope, it's one spot. The singles are helping us eliminate all of these acronyms and eliminate all of the ways [of] thinking differently about the different destinations and having that unified policy mindset.” – Steve Riley-----------------Episode Timestamps:*(03:58): Steve's background at Gartner  *(07:57): Steve discusses the importance of last year's SSE MQ*(10:49): What's changed about SSE in the last year*(19:51): How Netskope's positioning furthers the SASE journey*(24:43): How the current economic climate will affect SASE*(34:29): The most important outcome of getting SASE right*(37:45): Why SASE is the right bet to make*(40:13): 2030 Goggles*(44:11): Quick Hits*(48:23): Mike's 3 takeaways from his conversation with Steve-----------------Links:Connect with Steve Riley on LinkedInConnect with Mike Anderson LinkedInwww.netskope.com

迁移，是过去三年国内数据库行业最热的关键词之一。在 AI 与云计算过去十年的持续爆发之下，如何更好地存储和使用数据，既是每个中国互联网从业者绕不开的话题，也是中国传统行业数字化转型的核心议题。本土互联网巨头为什么会在 2000 年到 2010 年飞速成长之际，打下数据库业务的基础？2020 年之后，国产数据库的迁移浪潮又是如何逐渐成型，百花齐放？ 本期节目，见证行业崛起的资深嘉宾王义成与 Diane 深度对谈，看清迁移浪潮之下，国产数据库从业者走过的每一步路。 本期人物 Diane，「声动活泼」联合创始人、「科技早知道」主播 王义成，腾讯云数据库总经理，参与腾讯云CynosDB、TDSQL、DBBrain等产品的自主研制与设计 主要话题 [02:23] 2007 年入行，刚好是云计算爆发之前 [10:43] 国产数据库崛起的几个关键时间点 [21:18] 国产巨头都采取了哪些主要技术路径 [34:50] 金融行业的迁移挑战这么大，头部企业如何攻克困难？ [44:24] 未来看好存算分离、智能诊断、HTAP 延伸阅读 - 嘉宾提到的工具书腾讯云工具指南 (https://mktsaas.tencent-cloud.com/web/jumpmini.html?scene=2AF0E5308B57AAFAAAE1C982CBD51B6A&platform=1) - S5E28｜科技巨头跑步入场，图数据库为什么越来越火？ (https://guiguzaozhidao.fireside.fm/s5e28) - S6E06 硅谷徐老师｜对话Databricks联合创始人Reynold Xin：380 亿美元估值背后的长期主义 (https://guiguzaozhidao.fireside.fm/s6e06) - S5E02 硅谷徐老师｜云数据存储和分析市场千亿美元机会的格局和前景 (https://guiguzaozhidao.fireside.fm/s5e02) - 2022 Gartner Magic Quadrant™ for Cloud Database Management Systems (https://www.gartner.com/reviews/market/cloud-database-management-systems) - 2022年中国数据库研究报告 (https://36kr.com/p/2037492975856905) 会员社群活动｜围观一档新节目的诞生、逛线上展览结识同好 泡腾 VC 主播 Momo 直播地址 (https://sourl.cn/tceSNp)，填写报名表即可预定本场直播，期待你的参与！点击 这里 (https://shengfm.zhubai.love/posts/2252110938452852736?push_source_id=2167275432108679168&push_source_type=email) 了解会员福利详情。 收听提示 点击节目的收听链接即可完整收听本期节目，无需安装收听应用。 欢迎加入声动胡同会员计划 (https://sourl.cn/iCVg6n) 成为声动活泼会员，支持我们独立而无畏地持续创作，并让更多人听到这些声音。 加入方式 支付 ¥365/年 (https://sourl.cn/ZPb9Dm) 成为声动胡同常住民。加入后，你将会在「声动胡同」里体验到专属内容、参与社群活动，和听友们一起「声动活泼」。 在此之前，也欢迎你成为声动胡同闲逛者 (https://sourl.cn/ZPb9Dm) ，免费体验会员内容、感受社群氛围。 了解更多会员计划详情，我们在声动胡同等你。 (https://sourl.cn/4xPkEf) 幕后制作 监制：刘灿、信宇、静晗 后期：可特、Luke 运营：瑞涵、Babs 设计：饭团 关于节目 原「硅谷早知道」，全新改版后为「What's Next｜科技早知道」。放眼全球，聚焦科技发展，关注商业格局变化。 商务合作 声动活泼商务合作咨询 (https://sourl.cn/6vdmQT) 关于声动活泼 「用声音碰撞世界」，声动活泼致力于为人们提供源源不断的思考养料。 - 我们还有这些播客：声东击西 (https://etw.fm/episodes)、What's Next｜科技早知道 (https://guiguzaozhidao.fireside.fm/episodes)、声动早咖啡 (https://sheng-espresso.fireside.fm/)、商业WHY酱 (https://msbussinesswhy.fireside.fm/)、跳进兔子洞 (https://therabbithole.fireside.fm/)、反潮流俱乐部 (https://fanchaoliuclub.fireside.fm/)、泡腾 VC (https://popvc.fireside.fm/) - 如果你想获取热门节目文字稿，请添加微信公众号 声动活泼 - 如果想与我们交流，欢迎到即刻 (https://okjk.co/Qd43ia)找到我们 - 也期待你给我们写邮件交流，邮箱地址是：ting@sheng.fm - 如果你喜欢我们的节目，欢迎 打赏 (https://etw.fm/donation) 支持，或把我们的节目推荐给朋友 Special Guest: 王义成.

This Week In Voice Season 8, Episode 9 Guests: Rana Gujral (Behavioral Signals), Amy Brown (Authenticx), Amir Tsrouya (TalkSense), Lauren Koretzki (Wysa) Stories for discussion: 1a) What's New With GPT-4: From Processing Pictures To Acing Tests (The Verge) https://www.theverge.com/2023/3/15/23640047/openai-gpt-4-differences-capabilties-functions 1b) Anthropic Unveils Generative AI Chatbot Claude (Voicebot.AI) https://voicebot.ai/2023/03/14/anthropic-unveils-generative-ai-chatbot-claude/ 2) How Siri, Alexa, and Google Assistant Lost The AI Race (New York Times) https://www.nytimes.com/2023/03/15/technology/siri-alexa-google-assistant-artificial-intelligence.html 3) Gartner Magic Quadrant for Enterprise Conversational AI Platforms 2023 (CX Today) https://www.cxtoday.com/speech-analytics/gartner-magic-quadrant-for-enterprise-conversational-ai-platforms-2023/

In this episode, you'll hear about all the new features and updates: Microsoft Feed, Planner integration with Viva Goals, extracting PDFs in OneDrive for Android, Microsoft Lists: Calendar week layout, Microsoft Teams @Everyone, Microsoft named a Leader in 2022 Gartner® Magic Quadrant™ for Insight Engines, Stream (Classic) sets to retire: February 15, 2024, and more. Plus, we talk with Bill Bär from the 'content AI' team focused on Search, Syntex, and a whole lot of AI. Bill shares insights into the design and value of Microsoft Feed - a smart aggregate of all sorts of things happening around - content, people, videos, reminders, actionable tasks, and more -- coming to Outlook and the Office mobile apps. Read this episode's corresponding blog post. Plus, click here for transcript of this episode. Bill Bär | LinkedIn | Twitter SharePoint Facebook | @SharePoint | SharePoint Community Blog | UserVoice Mark Kashman |@mkashman [co-host] Chris McNulty |@cmcnulty2000 [co-host] Learn about Outlook mobile search, aka - Microsoft Feed in Outlook Deploying Outlook for iOS and Android app config in Exchange Download your own complimentary copy of the 2022 Gartner Magic Quadrant for Insight Engines. Make Your Goals a Reality with OKRs and New Capabilities from Microsoft Viva Goals Panel discussion at #ESPC22 w/Jeff Teper & Suzy Dean (AddIn365): https://youtu.be/gmltQ85QM54 Timeline for Stream (Classic) retirement:  https://aka.ms/StreamClassicRetireTimeline Microsoft Docs - The home for Microsoft documentation for end users, developers, and IT professionals.  Microsoft Tech Community Home Stay on top of Office 365 changes Upcoming 2023 events: Collab365 | Three-hour Microsoft Lists workshop online with Mark Kashman Reimagine Education | Feb.9.2023 (online) WorkPlaceDudes Summit | Feb.24.2023 Holland Modern Workplace Conference 2023 | March.27-29.2023 Paris, France Culturati | Apr.2-3.2023 Austin, Texas Microsoft 365 Conference | May.2-4.2023 Las Vegas, Nevada CollabDays Poland | May.13.2023 Warsaw, Poland Technorama Belgium - the Jungle Edition | May.15-17 Kinepolis Antwerp Power Automate & Power Apps Developer Bootcamp Automation Summit 2023 | May.19-20.2023 London, Paddington CollabDays Italy | May.20.2023 Milan, Italy European Collaboration Summit | May.22-24.2023 Dusseldorf, Germany Listen and follow other Microsoft podcasts at aka.ms/microsoft/podcasts. Follow the Intrazone at aka.ms/TheIntrazone.

On The Cloud Pod this week, Amazon announces massive corporate and tech lay offs and S3 Encrypts New Objects By Default, BigQuery multi-statement transactions are now generally available, and Microsoft announces acquisition of Fungible to accelerate datacenter innovation. Thank you to our sponsor, Foghorn Consulting, which provides top notch cloud and DevOps engineers to the world's most innovative companies. Initiatives stalled because you're having trouble hiring? Foghorn can be burning down your DevOps and Cloud backlogs as soon as next week. General News: Amazon to lay off 18,000 corporate and tech workers. [1:11] Episode Highlights ⏰ Amazon S3 Encrypts New Objects By Default. [3:09] ⏰ Announcing the GA of BigQuery multi-statement transactions. [13:04] ⏰ Microsoft announces acquisition of Fungible to accelerate datacenter innovation. [17:14] Top Quote

On this episode of The Cloud Pod, the team wraps up 2022 so far, comparing predictions made with the events so far while projecting into 2023 as the year comes to a close. They discuss the S3 security changes coming from Amazon, the new control plane connectivity options with GCP, and Microsoft's achievement, finally topping a list within the cloud space. A big thanks to this week's sponsor, Foghorn Consulting, which provides full-stack cloud solutions with a focus on strategy, planning and execution for enterprises seeking to take advantage of the transformative capabilities of AWS, Google Cloud and Azure. This week's highlights

Special Thanks to our podcast sponsor, Obsidian Security.   We are really excited to share today's show on SaaS Security Posture Management.  Please note we have Ben Johnson stopping by the show so please stick around and enjoy.  First let's go back to the basics: Today most companies have already begun their journey to the cloud.  If you are in the midst of a cloud transformation, you should ask yourself three important questions:   How many clouds are we in? What data are we sending to the cloud to help the business? How do we know the cloud environments we are using are properly configured? Let's walk through each of these questions to understand the cyber risks we need to communicate to the business as well as focus on one Cloud type that might be forecasting a major event.  First let's look at the first question.   How many clouds are we in?  It's pretty common to find organizations still host data in on premises data centers.  This data is also likely backed up to a second location just in case a disaster event occurs and knocks out the main location.  Example if you live in Florida you can expect a hurricane.  When this happens you might expect the data center to lose power and internet connectivity.  Therefore it's smart to have a backup location somewhere else that would be unlikely to be impacted by the same regional event.  We can think of our primary data center and our backup data center as an On-Premises cloud.  Therefore it's the first cloud that we encounter.   The second cloud we are likely to encounter is external.  Most organizations have made the shift to using Cloud Computing Service providers such as Amazon Web Services, Azure, Google Cloud Platform, or Alibaba.  Each of these cloud providers has a multitude of offerings designed to help organizations reduce the need to host IT services on premises.  Now if you are using both on-premises and a cloud computing provider such as AWS, congratulations you are in what is known as a hybrid cloud environment.  If you use multiple cloud computing providers such as AWS and Azure then you are in a multi-cloud environment.  Notice the difference between terms.  Hybrid cloud means you host on premises and use an external cloud provider, whereas multi-cloud means you use multiple external cloud providers.  If you are using a Common Cloud platform like AWS, Azure, or GCP then you can look into a Gartner Magic Quadrant category known as Cloud Workload Protection Platforms.  Here you might encounter vendors like Palo Alto Prisma Cloud, Wiz, or Orca who will provide you with recommendations for your cloud configuration settings. So let's say your organization uses on premises and AWS but not Azure or GCP.  Does that mean you only have two clouds?  Probably not.  You see there's one more type of cloud hosted service that you need to understand how to defend.  The most common cloud model organizations leverage is Software as a Service commonly pronounced as (SaaS). Frankly we don't hear about SaaS security being discussed much which is why we are doing a deep dive on its security in this episode.  We think there's a real danger of SaaS clouds turning from a nice cloud that gently cools down a hot summer day into a severe weather storm that can cause an event.  So let's look at SaaS Security in more depth.   SaaS refers to cloud hosted solutions whereby vendors maintain most everything.  They run the application, they host the data, they host runtime environments, middleware, operating systems, virtualization technologies, servers, storage, and networking.  It can be a huge win to run SaaS solutions since it minimizes the need to have IT staff running all of these IT services.  Example: Hiring HVAC folks to ensure we have proper heating and cooling for servers on premises won't add new sales revenue to the business.   Now that you understand why SaaS is important you should ask yourself.  How many external SaaS providers are we sending sensitive data to?  Every company is different but most can expect to find dozens to hundreds of SaaS based solutions.  Examples of external SaaS solutions commonly encountered by most businesses include:  Service Now or Jira in use as a ticketing service,  Salesforce for customer relationship management Workday for HR information G Suite or Microsoft Office 365 in use to send emails and create important documents Github as a source code repository for developers Zoom for virtual teleconferences Slack for instant messaging like conversations Okta for Identity and Access Management Once you build out an inventory of your third parties hosted SaaS solutions, you need to understand the second question.  What kind of data is being sent to each service?  Most likely it's sensitive data.  Customer PII and PCI data might be stored in Salesforce, Diversity or Medical information for employees is stored in Workday, Sensitive Algorithms and proprietary software code is stored in GitHub, etc.  OK so if it is data that we care about then we need to ensure it doesn't get into the wrong hands.  We need to understand why we care about SaaS based security which is commonly known as SaaS Security Posture Management.  Let's consider the 4 major benefits of adopting this type of service.   Detection of Account Compromise.  Today bad actors use man in the middle attacks to trick users to give their passwords and MFA tokens to them.  These attacks also provide the session cookie credentials that allow a website to know a user has already been authenticated.  If attackers replay these session cookie credentials there's no malware on the endpoints.  This means that Antivirus and EDR tools don't have the telemetry they need to detect account compromise.  Therefore, you need log data from the SaaS providers to see anomalous activity such as changing IP addresses on the application.  Note we talked about this attack in much more detail on episode 87 From Hunt Team to Hunter with Bryce Kunze.   In addition to detecting account compromises, we see that SaaS security posture management solutions also improve detection times and response capabilities.  Let's just say that someone in your organization has their login credentials to Office 365 publicly available on the dark web.  So a bad actor finds those credentials and logs into your Office 365 environment.  Next the bad actor begins downloading every sensitive file and folder they can find.  Do you have a solution that monitors Office 365 activity for Data Loss Prevention?  If not, then you are probably going to miss that data breach.  So be sure to implement solutions that both log and monitor your SaaS providers so you can improve your SaaS incident detection and response capabilities. A third benefit we have seen is improvements to configuration and compliance.  You can think of news articles where companies were publicly shamed when they lost sensitive data by leaving it in a Public Amazon S3 bucket when it should have been private.  Similarly there are settings by most SaaS solutions that need to be configured properly.  The truth is many of these settings are not secure by default.  So if you are not looking at your SaaS configurations then access to sensitive data can become a real issue.  Here's an all too common scenario.  Let's say your company hires an intern to write a custom Salesforce page that shows customer documents containing PII.  The new intern releases updates to that webpage every two weeks.  Unfortunately the intern was never trained on all of the Salesforce best practices and creates a misconfiguration that allows customer invoices to be discovered by other customers.  How long would this vulnerability be in production before it's detected by a bad actor?  If you think the answer is < 90 days, then performing yearly penetration tests is probably too slow to address the brand damage your company is likely to incur.  You need to implement a control that finds vulnerabilities in hours or days not months.  This control might notify you of compliance drift in real time when your Salesforce configuration stopped meeting a CIS benchmark.  Now you could pay a penetration testing provider thousands of dollars each week to continually assess your Salesforce environment, but that would become too cost prohibitive.  So focus on being proactive by switching from manual processes such as penetration testing to things that can be automated via tooling The fourth major benefit that we observe is proper access and privilege management. Here's one example.  For critical business applications you often need to enforce least privilege and prevent the harm that one person can cause.  Therefore, it's common to require two or more people to perform a function.  Example: One developer writes the new code for a customer facing website, another developer reviews the code to detect if there's any major bugs or glaring issues that might cause brand damage.  Having a solution that helps mitigate privilege creep ensures that developers don't increase their access.  Another example of the importance to proper access management occurs when bad employees are fired.  When a bad employee is fired, then the company needs to immediately remove their access to sensitive data and applications.  This is pretty easy when you control access via a Single Sign On solution.  Just disable their account in one place.  However many SaaS providers don't integrate with SSO/SAML.  Additionally the SaaS website is generally internet accessible so people can work from home even if they are not on a corporate VPN.  Therefore it's common to encounter scenarios where bad employees are fired and their account access isn't removed in a timely manner.  The manager probably doesn't remember the 15 SaaS accounts they granted to an employee over a 3 year time frame.  When fired employees are terminated and access isn't removed you can generally expect an audit finding, especially if it's on a SOX application.   OK so now that we talked about the 4 major drivers of SaaS Security Posture Management (detection of account compromise, improved detection and response times, improvements to configuration and compliance, and proper access and privilege management) let's learn from our guest who can tell us some best practices with implementation. Now I'm excited to introduce today's guest:  Ben Johnson Live Interview Well thanks again for taking time to listen to our show today.  We hoped you learning about the various clouds we are in (On Premises, Cloud Computing Vendors, and SaaS), Understanding the new Gartner Magic Quadrant category known as SaaS Security Posture Management.  So if you want to improve your company's ability on SaaS based services to: detect account compromise,  improve detection and response times,  improve configuration and compliance, and  proper access and privilege management  Remember if you liked today's show please take the 5 seconds to leave us a 5 star review with your podcast provider.  Thanks again for your time and Stay Safe out there.  

On The Cloud Pod this week, the team gets judicial on the Microsoft-Unity partnership. Plus: Amazon acquires iRobot, BigQuery boasts Zero-ETL for Bigtable data, and Serverless SQL for Azure Databricks is in public preview.  A big thanks to this week's sponsor, Foghorn Consulting, which provides full-stack cloud solutions with a focus on strategy, planning and execution for enterprises seeking to take advantage of the transformative capabilities of AWS, Google Cloud and Azure. This week's highlights

About AlexAlex holds a Ph.D. in Computer Science and Engineering from UC San Diego, and has spent over a decade building high-performance, robust data management and processing systems. As an early member of a couple fast-growing startups, he's had the opportunity to wear a lot of different hats, serving at various times as an individual contributor, tech lead, manager, and executive. He also had a brief stint as a Cloud Economist with the Duckbill Group, helping AWS customers save money on their AWS bills. He's currently a freelance data engineering consultant, helping his clients build, manage, and maintain their data infrastructure. He lives in Los Angeles, CA.Links Referenced: Company website: https://bitsondisk.com Twitter: https://twitter.com/alexras LinkedIn: https://www.linkedin.com/in/alexras/ TranscriptAnnouncer: Hello, and welcome to Screaming in the Cloud with your host, Chief Cloud Economist at The Duckbill Group, Corey Quinn. This weekly show features conversations with people doing interesting work in the world of cloud, thoughtful commentary on the state of the technical world, and ridiculous titles for which Corey refuses to apologize. This is Screaming in the Cloud.Corey: I come bearing ill tidings. Developers are responsible for more than ever these days. Not just the code that they write, but also the containers and the cloud infrastructure that their apps run on. Because serverless means it's still somebody's problem. And a big part of that responsibility is app security from code to cloud. And that's where our friend Snyk comes in. Snyk is a frictionless security platform that meets developers where they are - Finding and fixing vulnerabilities right from the CLI, IDEs, Repos, and Pipelines. Snyk integrates seamlessly with AWS offerings like code pipeline, EKS, ECR, and more! As well as things you're actually likely to be using. Deploy on AWS, secure with Snyk. Learn more at Snyk.co/scream That's S-N-Y-K.co/screamCorey: DoorDash had a problem. As their cloud-native environment scaled and developers delivered new features, their monitoring system kept breaking down. In an organization where data is used to make better decisions about technology and about the business, losing observability means the entire company loses their competitive edge. With Chronosphere, DoorDash is no longer losing visibility into their applications suite. The key? Chronosphere is an open-source compatible, scalable, and reliable observability solution that gives the observability lead at DoorDash business, confidence, and peace of mind. Read the full success story at snark.cloud/chronosphere. That's snark.cloud slash C-H-R-O-N-O-S-P-H-E-R-E.Corey: Welcome to Screaming in the Cloud. I'm Corey Quinn. I am joined this week by a returning guest, who… well, it's a little bit complicated and more than a little bittersweet. Alex Rasmussen was a principal cloud economist here at The Duckbill Group until he committed an unforgivable sin. That's right. He gave his notice. Alex, thank you for joining me here, and what have you been up to, traitor?Alex: [laugh]. Thank you for having me back, Corey.Corey: Of course.Alex: At time of recording, I am restarting my freelance data engineering business, which was dormant for the sadly brief time that I worked with you all at The Duckbill Group. And yeah, so that's really what I've been up to for the last few days. [laugh].Corey: I want to be very clear that I am being completely facetious when I say this. When someone is considering, “Well, am I doing what I really want to be doing?” And if the answer is no, too many days in a row, yeah, you should find something that aligns more with what you want to do. And anyone who's like, “Oh, you're leaving? Traitor, how could you do that?” Yeah, those people are trash. You don't want to work with trash.I feel I should clarify that this is entirely in jest and I could not be happier that you are finding things that are more aligned with aspects of what you want to be doing. I am serious when I say that, as a company, we are poorer for your loss. You have been transformative here across a number of different axes that we will be going into over the course of this episode.Alex: Well, thank you very much, I really appreciate that. And I came to a point where I realized, you know, the old saying, “You don't know what you got till it's gone?” I realized, after about six months of working with Duckbill Group that I missed building stuff, I missed building data systems, I missed being a full-time data person. And I'm really excited to get back to that work, even though I'll definitely miss working with everybody on the team. So yeah.Corey: There are a couple of things that I found really notable about your time working with us. One of them was that even when you wound up applying to work here, you were radically different than—well, let's be direct here—than me. We are almost polar opposites in a whole bunch of ways. I have an eighth-grade education; you have a PhD in computer science and engineering from UCSD. And you are super-deep into the world of data, start to finish, whereas I have spent my entire career on things that are stateless because I am accident prone, and when you accidentally have a problem with the database, you might not have a company anymore, but we can all laugh as we reprovision the web server fleet.We just went in very different directions as far as what we found interesting throughout our career, more or less. And we were not quite sure how it was going to manifest in the context of cloud economics. And I can say now that we have concluded the experiment, that from my perspective, it went phenomenally well. Because the exact areas that I am weak at are where you excel. And, on some level, I would say that you're not necessarily as weak in your weak areas as I am in mine, but we want to reinforce it and complementing each other rather than, “Well, we now have a roomful of four people who are all going to yell at you about the exact same thing.” We all went in different directions, which I thought was really neat.Alex: I did too. And honestly, I learned a tremendous, tremendous amount in my time at Duckbill Group. I think the window into just how complex and just how vast the ecosystem of services within AWS is, and kind of how they all ping off of each other in these very complicated ways was really fascinating, fascinating stuff. But also just an insight into just what it takes to get stuff done when you're talking with—you know, so most of my clientele to date have been small to medium-sized businesses, you know, small as two people; as big as a few hundred people. But I wasn't working with Fortune 1000 companies like Duckbill Group regularly does, and an insight into just, number one, what it takes to get things done inside of those organizations, but also what it takes to get things done with AWS when you're talking about, you know, for instance, contracts that are tens, or hundreds of millions of dollars in total contract value. And just what that involves was just completely eye-opening for me.Corey: From my perspective, what I found—I guess, in hindsight, it should have been more predictable than it was—but you talk about having a background and an abiding passion for the world of data, and I'm sitting here thinking, that's great. We have all this data in the form of the Cost and Usage Reports and the bills, and I forgot the old saw that yeah, if it fits in RAM, it's not a big data problem. And yeah, in most cases, what we have tends to fit in RAM. I guess you don't tend to find things interesting until Microsoft Excel gives up and calls uncle.Alex: I don't necessarily know that that's true. I think that there are plenty of problems to be had in the it fits in RAM space, precisely because so much of it fits in RAM. And I think that, you know, particularly now that, you know—I think there's it's a very different world that we live in from the world that we lived in ten years ago, where ten years ago—Corey: And right now I'm talking to you on a computer with 128 gigs of RAM, and it—Alex: Well, yeah.Corey: —that starts to look kind of big data-y.Alex: Well, not only that, but I think on the kind of big data side, right? When you had to provision your own Hadoop cluster, and after six months of weeping tears of blood, you managed to get it going, right, at the end of that process, you went, “Okay, I've got this big, expensive thing and I need this group of specialists to maintain it all. Now, what the hell do I do?” Right? In the intervening decade, largely due to the just crushing dominance of the public clouds, that problem—I wouldn't call that problem solved, but for all practical purposes, at all reasonable scales, there's a solution that you can just plug in a credit card and buy.And so, now the problem, I think, becomes much more high level, right, than it used to be. Used to be talking about how well you know, how do I make this MapReduce job as efficient as it possibly can be made? Nobody really cares about that anymore. You've got a query planner; it executes a query; it'll probably do better than you can. Now, I think the big challenges are starting to be more in the area of, again, “How do I know what I have? How do I know who's touched it recently? How do I fix it when it breaks? How do I even organize an organization that can work effectively with data at petabyte scale and say anything meaningful about it?”And so, you know, I think that the landscape is shifting. One of the reasons why I love this field so much is that the landscape is shifting very rapidly and as soon as we think, “Ah yes. We have solved all of the problems.” Then immediately, there are a hundred new problems to solve.Corey: For me, what I found, I guess, one of the most eye-opening things about having you here is your actual computer science background. Historically, we have biased for folks who have come up from the ops side of the world. And that lends itself to a certain understanding. And, yes, I've worked with developers before; believe it or not, I do understand how folks tend to think in that space. I have not a complete naive fool when it comes to these things.But what I wasn't prepared for was the nature of our internal, relatively casual conversations about a bunch of different things, where we'll be on a Zoom chat or something, and you will just very casually start sharing your screen, fire up a Jupyter Notebook and start writing code as you're talking to explain what it is you're talking about and watching it render in real time. And I'm sitting here going, “Huh, I can't figure out whether we should, like, wind up giving him a raise or try to burn him as a witch.” I could really see it going either way. Because it was magic and transformative from my perspective.Alex: Well, thank you. I mean, I think that part of what I am very grateful for is that I've had an opportunity to spend a considerable period of time in kind of both the academic and industrial spaces. I got a PhD, basically kept going to school until somebody told me that I had to stop, and then spent a lot of time at startups and had to do a lot of different kinds of work just to keep the wheels attached to the bus. And so, you know, when I arrived at Duckbill Group, I kind of looked around and said, “Okay, cool. There's all the stuff that's already here. That's awesome. What can I do to make that better?” And taking my lens so to speak, and applying it to those problems, and trying to figure out, like, “Okay, well as a cloud economist, what do I need to do right now that sucks? And how do I make it not suck?”Corey: It probably involves a Managed NAT Gateway.Alex: Whoa, God. And honestly, like, I spent a lot of time developing a bunch of different tools that were really just there in the service of that. Like, take my job, make it easier. And I'm really glad that you liked what you saw there.Corey: It was interesting watching how we wound up working together on things. Like, there's a blog post that I believe is out by the time this winds up getting published—but if not, congratulations on listening to this, you get a sneak preview—where I was looking at the intelligent tiering changes in pricing, where any object below 128 kilobytes does not have a monitoring charge attached to it, and above it, it does. And it occurred to me on a baseline gut level that, well wait a minute, it feels like there is some object sizes, where regardless of how long it lives in storage and transition to something cheaper, it will never quite offset that fee. So, instead of having intelligent tiering for everything, that there's some cut-off point below which you should not enable intelligent tiering because it will always cost you more than it can possibly save you.And I mentioned that to you and I had to do a lot of articulating with my hands because it's all gut feelings stuff and this stuff is complicated at the best of times. And your response was, “Huh.” Then it felt like ten minutes later you came back with a multi-page blog post written—again—in a Python notebook that has a dynamic interactive graph that shows the breakeven and cut-off points, a deep dive math showing exactly where in certain scenarios it is. And I believe the final takeaway was somewhere between 148 to 161 kilobytes, somewhere in that range is where you want to draw the cut-off. And I'm just looking at this and marveling, on some level.Alex: Oh, thanks. To be fair, it took a little bit more than ten minutes. I think it was something where it kind of went through a couple of stages where at first I was like, “Well, I bet I could model that.” And then I'm like, “Well, wait a minute. There's actually, like—if you can kind of put the compute side of this all the way to the side and just remove all API calls, it's a closed form thing. Like, you can just—this is math. I can just describe this with math.”And cue the, like, Beautiful Mind montage where I'm, like, going onto the whiteboard and writing a bunch of stuff down trying to remember the point intercept form of a line from my high school algebra days. And at the end, we had that blog post. And the reason why I kind of dove into that headfirst was just this, I have this fascination for understanding how all this stuff fits together, right? I think so often, what you see is a bunch of little point things, and somebody says, “You should use this at this point, for this reason.” And there's not a lot in the way of synthesis, relatively speaking, right?Like, nobody's telling you what the kind of underlying thing is that makes it so that this thing is better in these circumstances than this other thing is. And without that, it's a bunch of, kind of, anecdotes and a bunch of kind of finger-in-the-air guesses. And there's a part of that, that just makes me sad, fundamentally, I guess, that humans built all of this stuff; we should know how all of it fits together. And—Corey: You would think, wouldn't you?Alex: Well, but the thing is, it's so enormously complicated and it's been developed over such an enormously long period of time, that—or at least, you know, relatively speaking—it's really, really hard to kind of get that and extract it out. But I think when you do, it's very satisfying when you can actually say like, “Oh no, no, we've actually done—we've done the analysis here. Like, this is exactly what you ought to be doing.” And being able to give that clear answer and backing it up with something substantial is, I think, really valuable from the customer's point of view, right, because they don't have to rely on us kind of just doing the finger-in-the-air guess. But also, like, it's valuable overall. It extends the kind of domain where you don't have to think about whether or not you've got the right answer there. Or at least you don't have to think about it as much.Corey: My philosophy has always been that when I have those hunches, they're useful, and it's an indication that there's something to look into here. Where I think it goes completely off the rails is when people, like, “Well, I have a hunch and I have this belief, and I'm not going to evaluate whether or not that belief is still one that is reasonable to hold, or there has been perhaps some new information that it would behoove me to figure out. Nope, I've just decided that I know—I have a hunch now and that's enough and I've done learning.” That is where people get into trouble.And I see aspects of it all the time when talking to clients, for example. People who believe things about their bill that at one point were absolutely true, but now no longer are. And that's one of those things that, to be clear, I see myself doing this. This is not something—Alex: Oh, everybody does, yeah.Corey: —I'm blaming other people for it all. Every once in a while I have to go on a deep dive into our own AWS bill just to reacquaint myself with an understanding of what's going on over there.Alex: Right.Corey: And I will say that one thing that I was firmly convinced was going to happen during your tenure here was that you're a data person; hiring someone like you is the absolute most expensive thing you can ever do with respect to your AWS bill because hey, you're into the data space. During your tenure here, you cut the bill in half. And that surprises me significantly. I want to further be clear that did not get replaced by, “Oh, yeah. How do you cut your AWS bill by so much?” “We moved everything to Snowflake.” No, we did not wind up—Alex: [laugh].Corey: Just moving the data somewhere else. It's like, at some level, “Great. How do I cut the AWS bill by a hundred percent? We migrate it to GCP.” Technically correct; not what the customer is asking for.Alex: Right? Exactly, exactly. I think part of that, too—and this is something that happens in the data part of the space more than anywhere else—it's easy to succumb to shiny object syndrome, right? “Oh, we need a cloud data warehouse because cloud data warehouse, you know? Snowflake, most expensive IPO in the history of time. We got to get on that train.”And, you know, I think one of the things that I know you and I talked about was, you know, where should all this data that we're amassing go? And what should we be optimizing for? And I think one of the things that, you know, the kind of conclusions that we came to there was, well, we're doing some stuff here, that's kind of designed to accelerate queries that don't really need to be accelerated all that much, right? The difference between a query taking 500 milliseconds and 15 seconds, from our point of view, doesn't really matter all that much, right? And that realization alone, kind of collapsed a lot of technical complexity, and that, I will say we at Duckbill Group still espouse, right, is that cloud cost is an architectural problem, it's not a right-sizing your instances problem. And once we kind of got past that architectural problem, then the cost just sort of cratered. And honestly, that was a great feeling, to see the estimate in the billing console go down 47% from last month, and it's like, “Ah, still got it.” [laugh].Corey: It's neat to watch that happen, first off—Alex: For sure.Corey: But it also happened as well, with increasing amounts of utility. There was a new AWS billing page that came out, and I'm sure it meets someone's needs somewhere, somehow, but the things that I always wanted to look at when I want someone to pull up their last month's bill is great, hit the print button—on the old page—and it spits out an exploded pdf of every type of usage across their entire AWS estate. And I can skim through that thing and figure out what the hell's going on at a high level. And this new thing did not let me do that. And that's a concern, not just for the consulting story because with our clients, we have better access than printing a PDF and reading it by hand, but even talking to randos on the internet who were freaking out about an AWS bill, they shouldn't have to trust me enough to give me access into their account. They should be able to get a PDF and send it to me.Well, I was talking with you about this, and again, in what felt like ten minutes, you wound up with a command line tool, run it on an exported CSV of a monthly bill and it spits it out as an HTML page that automatically collapses in and allocates things based upon different groups and service type and usage. And congratulations, you spent ten minutes to create a better billing experience than AWS did. Which feels like it was probably, in fairness to AWS, about seven-and-a-half minutes more time than they spent on it.Alex: Well, I mean, I think that comes back to what we were saying about, you know, not all the interesting problems in data are in data that doesn't fit in RAM, right? I think, in this case, that came from two places. I looked at those PDFs for a number of clients, and there were a few things that just made my brain hurt. And you and Mike and the rest of the folks at Duckbill could stare at the PDF, like, reading the matrix because you've seen so many of them before and go, ah, yes, “Bill spikes here, here, here.” I'm looking at this and it's just a giant grid of numbers.And what I wanted was I wanted to be able to say, like, don't show me the services in alphabetical order; show me the service is organized in descending order by spend. And within that, don't show me the operations in alphabetical order; show me the operations in decreasing order by spend. And while you're at it, group them into a usage type group so that I know what usage type group is the biggest hitter, right? The second reason, frankly, was I had just learned that DuckDB was a thing that existed, and—Corey: Based on the name alone, I was interested.Alex: Oh, it was an incredible stroke of luck that it was named that. And I went, “This thing lets me run SQL queries against CSV files. I bet I can write something really fast that does this without having to bash my head against the syntactic wall that is Pandas.” And at the end of the day, we had something that I was pretty pleased with. But it's one of those examples of, like, again, just orienting the problem toward, “Well, this is awful.”Because I remember when we first heard about the new billing experience, you kind of had pinged me and went, “We might need something to fix this because this is a problem.” And I went, “Oh, yeah, I can build that.” Which is kind of how a lot of what I've done over the last 15 years has been. It's like, “Oh. Yeah, I bet I could build that.” So, that's kind of how that went.Corey: This episode is sponsored in part by our friend EnterpriseDB. EnterpriseDB has been powering enterprise applications with PostgreSQL for 15 years. And now EnterpriseDB has you covered wherever you deploy PostgreSQL on-premises, private cloud, and they just announced a fully-managed service on AWS and Azure called BigAnimal, all one word. Don't leave managing your database to your cloud vendor because they're too busy launching another half-dozen managed databases to focus on any one of them that they didn't build themselves. Instead, work with the experts over at EnterpriseDB. They can save you time and money, they can even help you migrate legacy applications—including Oracle—to the cloud. To learn more, try BigAnimal for free. Go to biganimal.com/snark, and tell them Corey sent you.Corey: The problem that I keep seeing with all this stuff is I think of it in terms of having to work with the tools I'm given. And yeah, I can spin up infrastructure super easily, but the idea of, I'm going to build something that manipulates data and recombines it in a bunch of different ways, that's not something that I have a lot of experience with, so it's not my instinctive, “Oh, I bet there's an easier way to spit this thing out.” And you think in that mode. You effectively wind up automatically just doing those things, almost casually. Which does make a fair bit of sense, when you understand the context behind it, but for those of us who don't live in that space, it's magic.Alex: I've worked in infrastructure in one form or another my entire career, data infrastructure mostly. And one of the things—I heard this from someone and I can't remember who it was, but they said, “When infrastructure works, it's invisible.” When you walk in the room and flip the light switch, the lights come on. And the fact that the lights come on is a minor miracle. I mean, the electrical grid is one of the most sophisticated, globally-distributed engineering systems ever devised, but we don't think about it that way, right?And the flip side of that, unfortunately, is that people really pay attention to infrastructure most when it breaks. But they are two edges of the same proverbial sword. It's like, I know, when I've done a good job, if the thing got built and it stayed built and it silently runs in the background and people forget it exists. That's how I know that I've done a good job. And that's what I aim to do really, everywhere, including with Duckbill Group, and I'm hoping that the stuff that I built hasn't caught on fire quite yet.Corey: The smoke is just the arising of the piles of money it wound up spinning up.Alex: [laugh].Corey: It's like, “Oh yeah, turns out that maybe we shouldn't have built a database out of pure Managed NAT Gateways. Yeah, who knew?”Alex: Right, right. Maybe I shouldn't have filled my S3 bucket with pure unobtainium. That was a bad idea.Corey: One other thing that we do here that I admit I don't talk about very often because people get the wrong idea, but we do analyst projects for vendors from time to time. And the reason I don't say that is, when people hear about analysts, they think about something radically different, and I do not self-identify as an analyst. It's, “Oh, I'm not an analyst.” “Really? Because we have analyst budget.” “Oh, you said analyst. I thought you said something completely different. Yes, insert coin to continue.”And that was fine, but unlike the vast majority of analysts out there, we don't form our opinions based upon talking to clients and doing deeper dive explorations as our primary focus. We're a team of engineers. All right, you have a product. Let's instrument something with it, or use your product for something and we'll see how it goes along the way. And that is something that's hard for folks to contextualize.What was really fun was bringing you into a few of those engagements just because it was interesting; at the start of those calls. “It was all great, Corey is here and—oh, someone else's here. Is this a security problem?” “It's no, no, Alex is with me.” And you start off those calls doing what everyone should do on those calls is, “How can we help?” And then we shut up and listen. Step one, be a good consultant.And then you ask some probing questions and it goes a little bit deeper and a little bit deeper, and by the end of that call, it's like, “Wow, Alex is amazing. I don't know what that Corey clown is doing here, but yeah, having Alex was amazing.” And every single time, it was phenomenal to watch as you, more or less, got right to the heart of their generally data-oriented problems. It was really fun to be able to think about what customers are trying to achieve through the lens that you see the world through.Alex: Well, that's very flattering, first of all. Thank you. I had a lot of fun on those engagements, honestly because it's really interesting to talk to folks who are building these systems that are targeting mass audiences of very deep-pocketed organizations, right? Because a lot of those organizations, the companies doing the building are themselves massive. And they can talk to their customers, but it's not quite the same as it would be if you or I were talking to the customers because, you know, you don't want to tell someone that their baby is ugly.And note, now, to be fair, we under no circumstances were telling people that their baby was ugly, but I think that the thing that is really fun for me is to kind of be able to wear the academic database nerd hat and the practitioner hat simultaneously, and say, like, “I see why you think this thing is really impressive because of this whiz-bang, technical thing that it does, but I don't know that your customers actually care about that. But what they do care about is this other thing that you've done as an ancillary side effect that actually turns out is a much more compelling thing for someone who has to deal with this stuff every day. So like, you should probably be focusing attention on that.” And the thing that I think was really gratifying was when you know that you're meeting someone on their level and you're giving them honest feedback and you're not just telling them, you know, “The Gartner Magic Quadrant says that in order to move up and to the right, you must do the following five features.” But instead saying, like, “I've built these things before, I've deployed them before, I've managed them before. Here's what sucks that you're solving.” And seeing the kind of gears turn in their head is a very gratifying thing for me.Corey: My favorite part of consulting—and I consider analyst style engagements to be a form of consulting as well—is watching someone get it, watching that light go on, and they suddenly see the answer to a problem that's been vexing them I love that.Alex: Absolutely. I mean, especially when you can tell that this is a thing that has been keeping them up at night and you can say, “Okay. I see your problem. I think I understand it. I think I might know how to help you solve it. Let's go solve it together. I think I have a way out.”And you know, that relief, the sense of like, “Oh, thank God somebody knows what they're doing and can help me with this, and I don't have to think about this anymore.” That's the most gratifying part of the job, in my opinion.Corey: For me, it has always been twofold. One, you've got people figuring out how to solve their problem and you've made their situation better for it. But selfishly, the thing I like the most personally has been the thrill you get from solving a puzzle that you've been toying with and finally it clicks. That is the endorphin hit that keeps me going.Alex: Absolutely.Corey: And I didn't expect when I started this place is that every client engagement is different enough that it isn't boring. It's not the same thing 15 times. Which it would be if it were, “Hi, thanks for having us. You haven't bought some RIs. You should buy some RIs. And I'm off.” It… yeah, software can do that. That's not interesting.Alex: Right. Right. But I think that's the other thing about both cloud economics and data engineering, they kind of both fit into that same mold. You know, what is it? “All happy families are alike, but each unhappy family is unhappy in its own way.” I'm butchering Chekhov, I'm sure. But like—if it's even Chekhov.But the general kind of shape of it is this: everybody's infrastructure is different. Everybody's organization is different. Everybody's optimizing for a different point in the space. And being able to come in and say, “I know that you could just buy a thing that tells you to buy some RIs, but it's not going to know who you are; it's not going to know what your business is; it's not going to know what your challenges are; it's not going to know what your roadmap is. Tell me all those things and then I'll tell you what you shouldn't pay attention to and what you should.”And that's incredibly, incredibly valuable. It's why, you know, it's why they pay us. And that's something that you can never really automate away. I mean, you hear this in data all the time, right? “Oh, well, once all the infrastructure is managed, then we won't need data infrastructure people anymore.”Well, it turns out all the infrastructure is managed now, and we need them more than we ever did. And it's not because this managed stuff is harder to run; it's that the capabilities have increased to the point that they're getting used more. And the more that they're getting used, the more complicated that use becomes, and the more you need somebody who can think at the level of what does the business need, but also, what the heck is this thing doing when I hit the run key? You know? And that I think, is something, particularly in AWS where I mean, my God, the amount and variety and complexity of stuff that can be deployed in service of an organization's use case is—it can't be contained in a single brain.And being able to make sense of that, being able to untangle that and figure out, as you say, the kind of the aha moment, the, “Oh, we can take all of this and just reduce it down to nothing,” is hugely, hugely gratifying and valuable to the customer, I'd like to think.Corey: I think you're right. And again, having been doing this in varying capacities for over five years—almost six now; my God—the one thing has been constant throughout all of that is, our number one source for new business has always been word of mouth. And there have been things that obviously contribute to that, and there are other vectors we have as well, but by and large, when someone winds up asking a colleague or a friend or an acquaintance about the problem of their AWS bill, and the response almost universally, is, “Yeah, you should go talk to The Duckbill Group,” that says something that validates that we aren't going too far wrong with what we're approaching. Now that you're back on the freelance data side, I'm looking forward to continuing to work with you, if through no other means and being your customer, just because you solve very interesting and occasionally very specific problems that we periodically see. There's no reason that we can't bring specialists in—and we do from time to time—to look at very specific aspects of a customer problem or a customer constraint, or, in your case for example, a customer data set, which, “Hmm, I have some thoughts on here, but just optimizing what storage class that three petabytes of data lives within seems like it's maybe step two, after figuring what the heck is in it.” Baseline stuff. You know, the place that you live in that I hand-wave over because I'm scared of the complexity.Alex: I am very much looking forward to continuing to work with you on this. There's a whole bunch of really, really exciting opportunities there. And in terms of word of mouth, right, same here. Most of my inbound clientele came to me through word of mouth, especially in the first couple years. And I feel like that's how you know that you're doing it right.If someone hires you, that's one thing, and if someone refers you, to their friends, that's validation that they feel comfortable enough with you and with the work that you can do that they're not going to—you know, they're not going to pass their friends off to someone who's a chump, right? And that makes me feel good. Every time I go, “Oh, I heard from such and such that you're good at this. You want to help me with this?” Like, “Yes, absolutely.”Corey: I've really appreciated the opportunity to work with you and I'm super glad I got the chance to get to know you, including as a person, not just as the person who knows the data, but there's a human being there, too, believe it or not.Alex: Weird. [laugh].Corey: And that's the important part. If people want to learn more about what you're up to, how you think about these things, potentially have you looked at a gnarly data problem they've got, where's the best place to find you now?Alex: So, my business is called Bits on Disk. The website is bitsondisk.com. I do write occasionally there. I'm also on Twitter at @alexras. That's Alex-R-A-S, and I'm on LinkedIn as well. So, if your lovely listeners would like to reach me through any of those means, please don't hesitate to reach out. I would love to talk to them more about the challenges that they're facing in data and how I might be able to help them solve them.Corey: Wonderful. And we will of course, put links to that in the show notes. Thank you again for taking the time to speak with me, spending as much time working here as you did, and honestly, for a lot of the things that you've taught me along the way.Alex: My absolute pleasure. Thank you very much for having me.Corey: Alex Rasmussen, data engineering consultant at Bits on Disk. I'm Cloud Economist Corey Quinn. This is Screaming in the Cloud. If you've enjoyed this podcast, please leave a five-star review on your podcast platform of choice, whereas if you've hated this podcast, please leave a five-star review on your podcast platform of choice along with an angry comment that is so large it no longer fits in RAM.Corey: If your AWS bill keeps rising and your blood pressure is doing the same, then you need The Duckbill Group. We help companies fix their AWS bill by making it smaller and less horrifying. The Duckbill Group works for you, not AWS. We tailor recommendations to your business and we get to the point. Visit duckbillgroup.com to get started.Announcer: This has been a HumblePod production. Stay humble.

Sidetrade recently revealed B2B global payment trends from its unique Data Lake – industry-first predictive payment intelligence map of 20.7 million companies worldwide Sidetrade CTO Mark Sheldon joins me on Tech Talks Daily to discuss the recent launch of Sidetrade's AI-powered Data Lake which I an industry first for finance leaders. It is the most unique data lake of B2B payment behaviours on the market and combines true AI with real-time collaborative intelligence. With this publicly available AI-powered data lake, finance teams can become more strategic and forward-looking and can use predictive analytics to benchmark and make more strategic business decisions vs. leveraging traditional, tactical/reactive data. We discuss how technology enables finance teams to transform into futurist teams and the power of AI over RPA in the finance function. Mark also reveals the biggest myths about building and maintaining a huge data lake. Finally, I learn more about how Sidetrade has also been featured as a leader in the Gartner Magic Quadrant for Integrated Invoice-to-Cash applications!