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Guest: Ravijeet Dang (Ravi), Managing Director of Iotasol Australia, tech innovator and EO Melbourne member since 2024.Host: Linh Podetti, EO Sydney member and founder of Outsourcing Angel.In this episode, Ravijeet Dang, Managing Director of Iotasol Pty Ltd, reveals how digital transformation is reshaping businesses across various industries. With 15+ years of experience, Ravijeet has worked with top global brands such as DHL, FIFA, and Fuji Xerox. He shares how leveraging SaaS, IaaS, and PaaS helps businesses enhance operations, optimize supply chains, and save costs—delivering double-digit growth month after month.Ravijeet also shares insights on digital strategy and how businesses can utilize technology to accelerate growth in today's digital-first world.ABOUT RAVIJEET DANGRavijeet Dang is the Managing Director of Iotasol, a leading digital services company specializing in SaaS, IaaS, and supply chain solutions. He has helped businesses save 20-30% in costs and achieve sustained growth. Ravi is also certified in Lean Six Sigma and PRINCE2, focusing on delivering value through innovative technology solutions.CONNECT WITH RAVIJEET DANG
Yaki Faitelson is the co-founder and CEO at Varonis. In this episode, he joins host Amanda Glassner to discuss Varonis' AI-powered data security platform, including what CISOs across the industry are saying and whether their goalposts have shifted, as well as how cybersecurity teams of all sizes can address new threats, and more. This episode is brought to you by Varonis, whose AI-powered data security platform secures your data at scale – across IaaS, SaaS, and hybrid cloud environments. To learn more about our sponsor, visit https://Varonis.com.
Bentornati e bentornate su Azure Italia Podcast, il podcast in italiano su Microsoft Azure!Per non perderti nessun nuovo episodio clicca sul tasto FOLLOW del tuo player
When we use the phrase "talent gap" in cybersecurity, we're usually talking about adding headcount. For this interview, however, we're focusing on a gap that is evident within existing teams and practitioners - the often misunderstood soft skills gap. Side note: I really hate the term "soft skills". How about we call them "fundamental business skills", or "invaluable career advancement skills"? Hmm, doesn't quite roll off the tongue the same. Soft skills can impact everything, as they impose the limits of how we interact with our world. That goes for co-worker interactions, career advancements, and how we're perceived by our peers and community. It doesn't matter how brilliant you might be - without soft skills, your potential could be severely limited. Did you know that soft skills issues contributed to the Equifax breach? We'll also discuss how fear is related to some of the same limitations and challenges as soft skills. Segment Resources: https://www.softskillstech.ca/ Order the Book You might know them from their excellent research work on groups like Scattered Spider, or their refreshing branding/marketing style, but Permiso is laying some impressive groundwork for understanding and defending against identity and cloud-based attacks. In this interview, we talk with co-founder and co-CEO Paul Nguyen about understanding the threats against some of cybercriminals' favorite attack surface, insider threats, and non-human identity compromise. Segment Resources: This blog post from our threat research team on Scattered Spider shows how threat actors move laterally in an environment across identity providers, Iaas, PaaS and SaaS environments, and how this lateral movement ultimately creates blind spots for many security teams This great talk by Ian Ahl, from fwd:cloudsec 2024, touches on a lot of great TTPs used by attackers in IDPs and in the cloud Another blog, When AI Gets Hijacked: Exploiting Hosted Models for Dark Roleplaying and another, What Security Teams Can Learn From The Rippling/Deel Lawsuit: Intent Lies in Search Logs This week, in the enterprise security news, we check the vibes we check the funding we check runZero's latest release notes tons of free tools! the latest TTPs supply chain threats certs won't save you GRC needs disruption the latest Rippling/Deel drama All that and more, on this episode of Enterprise Security Weekly. Visit https://www.securityweekly.com/esw for all the latest episodes! Show Notes: https://securityweekly.com/esw-401
When we use the phrase "talent gap" in cybersecurity, we're usually talking about adding headcount. For this interview, however, we're focusing on a gap that is evident within existing teams and practitioners - the often misunderstood soft skills gap. Side note: I really hate the term "soft skills". How about we call them "fundamental business skills", or "invaluable career advancement skills"? Hmm, doesn't quite roll off the tongue the same. Soft skills can impact everything, as they impose the limits of how we interact with our world. That goes for co-worker interactions, career advancements, and how we're perceived by our peers and community. It doesn't matter how brilliant you might be - without soft skills, your potential could be severely limited. Did you know that soft skills issues contributed to the Equifax breach? We'll also discuss how fear is related to some of the same limitations and challenges as soft skills. Segment Resources: https://www.softskillstech.ca/ Order the Book You might know them from their excellent research work on groups like Scattered Spider, or their refreshing branding/marketing style, but Permiso is laying some impressive groundwork for understanding and defending against identity and cloud-based attacks. In this interview, we talk with co-founder and co-CEO Paul Nguyen about understanding the threats against some of cybercriminals' favorite attack surface, insider threats, and non-human identity compromise. Segment Resources: This blog post from our threat research team on Scattered Spider shows how threat actors move laterally in an environment across identity providers, Iaas, PaaS and SaaS environments, and how this lateral movement ultimately creates blind spots for many security teams This great talk by Ian Ahl, from fwd:cloudsec 2024, touches on a lot of great TTPs used by attackers in IDPs and in the cloud Another blog, When AI Gets Hijacked: Exploiting Hosted Models for Dark Roleplaying and another, What Security Teams Can Learn From The Rippling/Deel Lawsuit: Intent Lies in Search Logs This week, in the enterprise security news, we check the vibes we check the funding we check runZero's latest release notes tons of free tools! the latest TTPs supply chain threats certs won't save you GRC needs disruption the latest Rippling/Deel drama All that and more, on this episode of Enterprise Security Weekly. Visit https://www.securityweekly.com/esw for all the latest episodes! Show Notes: https://securityweekly.com/esw-401
You might know them from their excellent research work on groups like Scattered Spider, or their refreshing branding/marketing style, but Permiso is laying some impressive groundwork for understanding and defending against identity and cloud-based attacks. In this interview, we talk with co-founder and co-CEO Paul Nguyen about understanding the threats against some of cybercriminals' favorite attack surface, insider threats, and non-human identity compromise. Segment Resources: This blog post from our threat research team on Scattered Spider shows how threat actors move laterally in an environment across identity providers, Iaas, PaaS and SaaS environments, and how this lateral movement ultimately creates blind spots for many security teams This great talk by Ian Ahl, from fwd:cloudsec 2024, touches on a lot of great TTPs used by attackers in IDPs and in the cloud Another blog, When AI Gets Hijacked: Exploiting Hosted Models for Dark Roleplaying and another, What Security Teams Can Learn From The Rippling/Deel Lawsuit: Intent Lies in Search Logs Show Notes: https://securityweekly.com/esw-401
You might know them from their excellent research work on groups like Scattered Spider, or their refreshing branding/marketing style, but Permiso is laying some impressive groundwork for understanding and defending against identity and cloud-based attacks. In this interview, we talk with co-founder and co-CEO Paul Nguyen about understanding the threats against some of cybercriminals' favorite attack surface, insider threats, and non-human identity compromise. Segment Resources: This blog post from our threat research team on Scattered Spider shows how threat actors move laterally in an environment across identity providers, Iaas, PaaS and SaaS environments, and how this lateral movement ultimately creates blind spots for many security teams This great talk by Ian Ahl, from fwd:cloudsec 2024, touches on a lot of great TTPs used by attackers in IDPs and in the cloud Another blog, When AI Gets Hijacked: Exploiting Hosted Models for Dark Roleplaying and another, What Security Teams Can Learn From The Rippling/Deel Lawsuit: Intent Lies in Search Logs Show Notes: https://securityweekly.com/esw-401
There are many, many choices for cloud database services these days. I would hope everyone is aware of the various IaaS options in public clouds with EC2, Azure VMs, GCP Compute Engine, and others. These are often the easiest way to move your workload, but you've really just moved a VM from one place to another (likely more expensive) place. For managed databases, there are lots of choices, but you might not be aware of your options. I ran across an article that discusses the various flavors of managed databases in the big three public clouds for SQL Server. In the piece, there is a section that talks about when a managed database makes sense. I like that it discloses the development on a managed service is expensive. Read the rest of The Managed Cloud Database Options
Send us a textCould you navigate the complexities of cybersecurity like a pro and walk confidently into the CISSP exam? Join us as Sean Gerber shares his expert insights on conquering common test pitfalls and emphasizes the crucial strategy of thinking like a manager. From mastering the art of pacing to trusting your instincts, you'll gain valuable knowledge on how to read questions methodically and manage your time effectively. Plus, we're not just examining theoretical knowledge—Sean breaks it down into practical applications, particularly when assessing the security risks associated with commercial off-the-shelf software.In today's cloud-reliant world, understanding service evaluation best practices is essential. We explore the critical considerations in managing services like SaaS, IaaS, and PaaS. Learn which questions to prioritize when engaging with service providers, such as inquiring about their data protection strategies, encryption standards, and compliance with essential frameworks like SOC 2 and ISO 27017. Discover how the shared responsibility model for IaaS impacts your security measures, and unlock the secrets to secure API configurations. We also stress the importance of thorough risk assessment, threat modeling, and adhering to secure development standards like ISO 27034 and IEC 62443.Software selection is a major decision, and due diligence can make all the difference. This episode unravels how to rigorously evaluate software vendors, focusing on credibility, security assessments, and compliance with industry standards. With Sean's guidance, you'll learn to conduct comprehensive code reviews, penetration tests, and evaluate vendor support. We also highlight strategic deployment planning, emphasizing API security, threat modeling, and a robust mitigation plan. Finally, we unveil the extensive cybersecurity services offered by Reduce Cyber Risk, paired with exciting news about an upcoming podcast designed to bolster your cybersecurity knowledge even further.Gain access to 60 FREE CISSP Practice Questions each and every month for the next 6 months by going to FreeCISSPQuestions.com and sign-up to join the team for Free. That is 360 FREE questions to help you study and pass the CISSP Certification. Join Today!
Constance, PMM spécialisée IA depuis 2 ans chez Scaleway vient vulgariser le secteur du cloud, l'hardware, l'intelligence artificielle. Rien que ça !Elle a travaillé sur le développement d'une nouvelle catégorie de produit pour positionner Scaleway comme un fournisseur Cloud européen clé dans le domaine de l'IA et faire face aux GAFAM
“Now more than ever, engineering leaders are being asked to be more transparent with how their work is getting done. Every single thing that an engineering team works on needs to benefit the business.” Laura Tacho is the CTO of DX and a leading voice in the world of developer experience and productivity. In this episode, we explore the ever important role of aligning developer experience with business goals and discuss the DX Core 4, a new developer productivity framework recently published by DX. Laura shares how engineering leaders can leverage intuition for data-driven decisions and effectively communicate the impact of engineering initiatives in business language. We discuss the importance of balancing business goals with engineering needs and delve into the process of building a strong business case for improving developer experience. Discover the new DX Core 4 framework as Laura breaks down its four dimensions, key metrics, and actionable strategies for measuring and enhancing developer productivity. Learn how DX Core 4 complements existing frameworks, such as DORA, SPACE, and DevEx, and why it suggests “diffs per engineer” as a valuable metric to measure. Understand the Developer Experience Index (DXI) and why internal developer platforms and AI play crucial roles in improving developer experience. Tune in to learn new valuable insights on developer experience and how to measure, communicate, and improve developer productivity effectively. Listen out for: Career Turning Points - [00:02:13] Following Your Intuition - [00:05:36] Business Oriented Engineering Leaders - [00:08:06] Explaining Tech Debt - [00:12:01] Balancing Between Engineering and Business Focus - [00:16:53] Building a Case for Improving Developer Experience - [00:21:00] DX Core 4 - [00:22:46] DX Core 4 vs Others (DORA, SPACE, DevEx) - [00:25:19] The DX Core 4 Dimensions - [00:26:49] Diffs per Engineer - [00:30:32] Impact Dimension - [00:33:27] Measuring DX Core 4 - [00:34:59] Developer Experience Index (DXI) - [00:38:19] Impact of Implementing DX Core 4 - [00:41:54] Best Strategy to Improve Developer Experience - [00:44:26] Internal Developer Platform & AI - [00:47:52] The Importance of Talking to the Developers - [00:51:40] 3 Tech Lead Wisdom - [00:54:18] _____ Laura Tacho's BioLaura Tacho is CTO at DX, a developer experience company. She's a technology leader with a successful track record leading engineering and product development teams at companies like CloudBees, Aula Education, and Nova Credit. She's been building developer tools and working on improving developer productivity for over 10 years, all the way from the heyday of IaaS and PaaS on cloud, through Docker and containers, CI/CD, and now as part of DX. She's also an executive coach for engineering leaders and an expert in building world-class engineering organisations that consistently deliver outstanding results. Laura has coached CTOs and other engineering leaders from startups to the Fortune 500, and also facilitates a popular course on metrics and engineering team performance. Follow Laura: Website – lauratacho.com LinkedIn – linkedin.com/in/lauratacho DX Core 4 – getdx.com/research/measuring-developer-productivity-with-the-dx-core-4 Developer Productivity Metrics Course - lauratacho.com/developer-productivity-metrics-course _____ Our Sponsors Enjoy an exceptional developer experience with JetBrains. Whatever programming language and technology you use, JetBrains IDEs provide the tools you need to go beyond simple code editing and excel as a developer.Check out FREE coding software options and special offers on jetbrains.com/store/#discounts.Make it happen. With code. Manning Publications is a premier publisher of technical books on computer and software development topics for both experienced developers and new learners alike. Manning prides itself on being independently owned and operated, and for paving the way for innovative initiatives, such as early access book content and protection-free PDF formats that are now industry standard.Get a 40% discount for Tech Lead Journal listeners by using the code techlead24 for all products in all formats. Like this episode?Show notes & transcript: techleadjournal.dev/episodes/198.Follow @techleadjournal on LinkedIn, Twitter, and Instagram.Buy me a coffee or become a patron.
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As American voters go to the polls, all indications point to a statistical dead-heat between vice president and Democratic Party nominee Kamala Harris and former Republican president Donald Trump. The outcome will likely turn on tens of thousands of voters in a handful of key swing states. According to leading pollsters and polling aggregators, the race in these states is too close to call.In this hotly contested race, one demographic whose political preferences are much discussed, though less studied, is Indian Americans. A new study, the 2024 Indian American Attitudes Survey (IAAS), tries to fill this gap. The IAAS is a nationally representative online survey conducted by the Carnegie Endowment in conjunction with data and analytics firm YouGov. The report is authored by Sumitra Badrinathan of American University, Devesh Kapur of Johns Hopkins-SAIS, and Grand Tamasha host Milan Vaishnav.This week on the show, Milan speaks with Sumitra and Devesh about the main findings of their new report and what they portend for the election as well as future political trends in the United States.Episode notes:1. Sumitra Badrinathan, Devesh Kapur, and Milan Vaishnav, “Indian Americans at the Ballot Box: Results From the 2024 Indian American Attitudes Survey,” Carnegie Endowment for International Peace, October 28, 2024.2. VIDEO: “Deciphering the Indian American Vote,” Carnegie Endowment for International Peace, October 31, 2024.3. Sumitra Badrinathan, Devesh Kapur, and Milan Vaishnav, “How Will Indian Americans Vote? Results From the 2020 Indian American Attitudes Survey,” Carnegie Endowment for International Peace, October 14, 2020.4. Christopher H. Achen and Larry M. Bartels, Democracy for Realists: Why Elections Do Not Produce Responsive Government (Princeton, NJ: Princeton University Press, 2016).5. Sara Sadhwani, “Asian American Mobilization: The Effect of Candidates and Districts on Asian American Voting Behavior,” Political Behavior 44 (2022):105–131.6. Devesh Kapur, Nirvikar Singh, and Sanjoy Chakravorty, The Other One Percent: Indians in America (New York: Oxford University Press, 2016).7. “Sumitra Badrinathan and Devesh Kapur Decode the 2020 Indian American Vote,” Grand Tamasha, October 14, 2020.
На этот раз у нас тема, которую мы потрогали уже со всех сторон с разной глубиной проникновения - SDN. И более конкретно - облачный SDN, но не тот, который SD-WAN или какие-то облачные решения для клиентов - нет, мы говорим про то, как построить SDN для облака, как приватного, так и публичного, как дать пользователю прочувствовать свою уникальность несмотря на то, что на той же самой сети и том же самом сервере он далеко не один. Для разгорева и подготовки можно послушать telecom №101. Оверлейные сети Кто: Владислав Одинцов. Техлид в K2 Cloud (ex CROC Cloud) Александр Попов. Техлид команды Iaas Network в VK Cloud Про что: Будем говорить с позиции российских облаков, т.к. Размеры наши такие, какие есть, а не как AWS или GCP. Основа облаков - это IaaS уровень, вокруг которого достраиваются сервисы. IaaS это компьют + сторадж + сети + хранилище образов. Чтобы сети работали в облаке (между ВМ), все облачные провайдеры используют спец софт — SDN. SDN помогают создавать и управлять виртуальной сетью - делать её изолированной, предоставлять внутри неё сетевые функции: DHCP, routing, balancers. Где брать SDN? L2 против L3. Форкнул и дальше in-house? Или ответственно апстримить? Сложности при эксплуатации - регулярные обновления агентов, зоопарк версий, кросс-AZ изоляция, большое количество control-plane информации. Опыт допиливания OVN. Трудности с OVN. Сообщение telecom №139. Облачные SDN. OVN появились сначала на linkmeup.
What our cloud strategy would be if we were CTOs, how companies should weigh up SaaS, PaaS and IaaS, and trade off building vs buying. Integrating the Ubuntu Snapshot Service into systems management and update tools Send your questions and feedback to show@hybridcloudshow.com Support us on patreon and get... Read More
What our cloud strategy would be if we were CTOs, how companies should weigh up SaaS, PaaS and IaaS, and trade off building vs buying. Integrating the Ubuntu Snapshot Service into systems management and update tools Send your questions and feedback to show@hybridcloudshow.com Support us on patreon and get … Continue reading "Hybrid Cloud Show – Episode 13"
On this episode of the Virtually Speaking Podcast, we're joined by Dilpreet Bindra, Senior Director of Engineering at Broadcom. As a leader of the VCF Workload Organization, Dilpreet drives the delivery of runtime platforms and automation essential for workloads and clouds. In this episode, Dilpreet discusses his extensive experience with key VMware technologies like ESXi, the kernel, vMotion, Storage vMotion, vCenter, and more. He also explains how VMware by Broadcom enhances the cloud-like experience, enabling customers to deliver greater value for their businesses. Additionally, Dilpreet shares insights into how Private AI empowers VMware by Broadcom to offer a new class of workloads, maintaining the simplicity and resource management principles that VMware was built upon. Links Mentioned Private AI and Advanced Services on VCF: What's Next? Playlist: VMware Explore Las Vegas 2024 The Virtually Speaking Podcast The Virtually Speaking Podcast is a technical podcast dedicated to discussing VMware topics related to private and hybrid cloud. Each week Pete Flecha and John Nicholson bring in various subject matter experts from within the industry to discuss their respective areas of expertise. If you're new to the Virtually Speaking Podcast check out all episodes on vspeakingpodcast.com and follow on TwitterX @VirtSpeaking
Amidst the #Broadcom VMware shake-up, Hosted Network steps up to the plate with a game-changing multi-tenancy solution for #Proxmox, empowering MSPs to transition smoothly and keep getting sh*t done Episode Summary: In Episode 89 of Great Things with Great Tech, we dive into the evolution of an Australian MSP in the cloud and telco services space. Ben Town, CEO of Hosted Network, joins us to explore how the company transformed from a traditional MSP into a leader in wholesale cloud and telco services. We also discuss their exciting new venture, MultiPortal.io, which is filling a crucial gap in the market with a multi-tenant Proxmox IaaS management solution, especially timely given the ongoing disruptions caused by Broadcom's acquisition of VMware. Ben shares the Hosted Network journey, starting as a local MSP in Sydney's west in 2003, transitioning to a channel-only model in 2013, and growing into a key player in the Australian market. We also cover how MultiPortal.io emerged from their development team and is now providing an alternative hypervisor management tool designed to streamline operations for MSPs facing the challenges of today's cloud environments. Key Topics Discussed: Transition from MSP to Service Provider: Hosted Network's shift from a direct customer model to a channel-only model, focusing on delivering wholesale cloud, voice, connectivity, and security solutions to over 250 Australian MSPs. MultiPortal.io: The development and impact of MultiPortal.io, a tool designed for managing multi-tenant Proxmox environments, which has become essential in the wake of Broadcom's acquisition of VMware. In-House Development: Hosted Network's evolution into a development-centric company, creating tools and platforms that address real-world challenges faced by MSPs, including automation, AI integration, and custom billing solutions. Alternative Hypervisors: The increasing relevance of Proxmox as a cost-effective, scalable alternative to traditional hypervisors like VMware, particularly in the APAC region. Challenges and Innovations: How Hosted Network navigated the challenges posed by the changing IT landscape and continued to innovate, creating solutions that empower MSPs to thrive. Technology and Concepts Mentioned: Proxmox, VMware, Broadcom, cloud services, telco, MultiPortal, IaaS, MSP, TSP, virtualization, automation, AI, channel-only model. ☑️ Web: https://hostednetwork.com.au ☑️ MultiPortal: https://multiportal.io ☑️ Crunchbase: https://www.crunchbase.com/organization/hosted-network ☑️ Support the Channel: https://ko-fi.com/gtwgt ☑️ Be on #GTwGT: Contact via Twitter @GTwGTPodcast or visit https://www.gtwgt.com ☑️ Subscribe to YouTube: https://www.youtube.com/@GTwGTPodcast?sub_confirmation=1 Check out the full episode on our platforms: YouTube: https://youtu.be/kmB_pjGb5Js Spotify: https://open.spotify.com/episode/2l9aZpvwhWcdmL0lErpUHC?si=x3YOQw_4Sp-vtdjyroMk3Q Apple Podcasts: https://podcasts.apple.com/us/podcast/darknet-diaries-with-jack-rhysider-episode-83/id1519439787?i=1000654665731 Follow Us: Website: https://gtwgt.com Twitter: https://twitter.com/GTwGTPodcast Instagram: https://instagram.com/GTwGTPodcast ☑️ Music: https://www.bensound.com
All links and images for this episode can be found on CISO Series. This week's episode is hosted by me, David Spark (@dspark), producer of CISO Series and Andy Ellis (@csoandy), operating partner, YL Ventures. Joining us is Patti Titus, CISO, Booking Holdings. In this episode: Defense vs. Resilience Communication is on par with mitigation Preparing like its post-quantum The challenges and opportunities of diversity Thanks to our podcast sponsor, Cyera! Cyera's AI-powered data security platform gives companies visibility over their sensitive data, context over the risk it represents, and actionable, prioritized remediation guidance. As a cloud-native, agentless platform, Cyera provides holistic data security coverage across SaaS, PaaS, IaaS and on-premise environments. Visit www.cyera.io to learn more.
In this conversation, Katarina Brookfield discusses her career trajectory and her current role at Broadcom. She shares defining moments in her career, including her experience working on the Black Sea Maritime Archaeology project. The conversation then shifts to the newly announced vSphere IaaS control plane and its benefits. Katarina explains that the control plane provides a comprehensive solution for deploying workloads, including additional services like storage provisioning and load balancing. The conversation also covers the self-service nature of the control plane, the different interfaces for consumers and admins, and the integration of HashiCorp Packer for building and customizing VM images. The TKG service, which allows for the deployment of managed Kubernetes clusters, is also discussed, highlighting its ease of use and integration with vSphere. The conversation concludes with a discussion of the new features in the latest version of the TKG service, including cluster auto-scaling and the decoupling of TKG from vCenter.TakeawaysThe vSphere IaaS control plane provides a comprehensive solution for deploying workloads, including additional services like storage provisioning and load balancing.The control plane offers a self-service experience for consumers, allowing them to easily deploy the services they need.Different interfaces, including APIs, CLI, and UI, cater to the preferences of different users, making it accessible to both admins and consumers.The integration of HashiCorp Packer allows for the building and customization of VM images, providing flexibility and automation.The TKG service simplifies the deployment of managed Kubernetes clusters, making it accessible to users with little Kubernetes experience.The latest version of the TKG service decouples it from vCenter, allowing for faster delivery of new Kubernetes versions.New features in the TKG service include cluster auto-scaling and the integration of HashiCorp Packer for building and customizing VM images.Chapters00:00 - Kat's Career Trajectory and the Role of Defining Moments09:20 - The Comprehensive Solution of the vSphere IaaS Control Plane11:02 - Enabling Self-Service and Catering to Different User Preferences18:14 - Flexibility and Automation with HashiCorp Packer Integration22:47 - Simplifying Kubernetes Deployment with the TKG Service29:14 - Decoupling TKG from vCenter for Faster Delivery of Kubernetes Versions38:36 - New Features in the Latest Version of the TKG ServiceDisclaimer: The thoughts and opinions shared in this podcast are our own/guest(s), and not necessarily those of Broadcom or VMware by Broadcom.
All links and images for this episode can be found on CISO Series. Check out this post for the discussion that is the basis of our conversation on this week's episode co-hosted by me, David Spark (@dspark), the producer of CISO Series, and Geoff Belknap (@geoffbelknap). Joining us is Bil Harmer, operating partner and CISO, Craft Ventures. In this episode: A time and a place for Field CISOs This isn't a new role Consulting the Field CISO Words mean things Thanks to our podcast sponsor, Cyera Cyera's AI-powered data security platform gives companies visibility over their sensitive data, context over the risk it represents, and actionable, prioritized remediation guidance. As a cloud-native, agentless platform, Cyera provides holistic data security coverage across SaaS, PaaS, IaaS and On-premise environments. Visit www.cyera.io to learn more.
Summary In this episode of the Blue Security Podcast, Andy and Adam discuss Defender CSPM (Cloud Security Posture Management). They explain that CSPM is the process of monitoring cloud-based systems and infrastructure for risks and misconfigurations. They highlight the key capabilities of CSPM, including automation, monitoring and managing IaaS, SaaS, and PaaS platforms, and ensuring regulatory compliance. They also introduce Defender CSPM, a paid subscription service that offers additional features such as agentless scanning, container vulnerability assessments, and DevOps security. They mention the inclusion of Entra Permissions Management and external attack surface management in Defender CSPM. They emphasize the value of Defender CSPM for regulatory compliance and the ease of reporting on security posture against specific standards. Takeaways -CSPM is the process of monitoring cloud-based systems and infrastructure for risks and misconfigurations. -Defender CSPM is a paid subscription service that offers additional features such as agentless scanning, container vulnerability assessments, and DevOps security. -Defender CSPM includes Entra Permissions Management and external attack surface management. -Defender CSPM is valuable for regulatory compliance and provides ease of reporting on security posture against specific standards. ---------------------------------------------------- YouTube Video Link: https://youtu.be/lqvWnxyQqVs ---------------------------------------------------- Documentation: https://learn.microsoft.com/en-us/azure/defender-for-cloud/concept-cloud-security-posture-management https://learn.microsoft.com/en-us/azure/defender-for-cloud/defender-for-devops-introduction https://learn.microsoft.com/en-us/azure/defender-for-cloud/defender-for-cloud-introduction#protect-cloud-workloads https://learn.microsoft.com/en-us/azure/defender-for-cloud/concept-devops-environment-posture-management-overview ---------------------------------------------------- Contact Us: Website: https://bluesecuritypod.com Twitter: https://twitter.com/bluesecuritypod Linkedin: https://www.linkedin.com/company/bluesecpod Youtube: https://www.youtube.com/c/BlueSecurityPodcast ----------------------------------------------------------- Andy Jaw Twitter: https://twitter.com/ajawzero LinkedIn: https://www.linkedin.com/in/andyjaw/ Email: andy@bluesecuritypod.com ---------------------------------------------------- Adam Brewer Twitter: https://twitter.com/ajbrewer LinkedIn: https://www.linkedin.com/in/adamjbrewer/ Email: adam@bluesecuritypod.com
Modern applications require modern platforms and team collaboration to deliver velocity, stability and security. So how do we overcome the hurdles to making platform adoption work? SHOW: 840SHOW TRANSCRIPT: The Cloudcast #840 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSOR:Panoptica, Cisco's Cloud Application Security solutionSHOW NOTES:WHY DO PLATFORMS MAKE SENSE FOR MODERN APPLICATIONS?Reduce the cognitive load on application teamsDeliver self-service capabilities where it makes senseDeliver consistent services across teams, with efficient operationsReduce costs, reduce snowflakes, etc.WHAT ARE THE PLATFORM HURDLES, AND HOW TO OVERCOME THEM?The jump from initial projects to scalable delivery across apps and teamsApplication teams wanting snowflake environmentsBuying and budgeting centers not aligning to platform deliveryGetting application team buy-in to platform servicesGetting cross-functional team alignment and coordinationBalancing stability and pace of innovationFEEDBACK?Email: show at the cloudcast dot netTwitter: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod
All links and images for this episode can be found on CISO Series. Check out this post for the discussion that is the basis of our conversation on this week's episode co-hosted by me, David Spark (@dspark), the producer of CISO Series, and Christina Shannon, CIO, KIK Consumer Products. Joining us is Andrew Cannata, CISO, Primo Water. In this episode: The lure of an IPO is debatable Does an IPO make you a target or just more vulnerable? M&A changes your context Ambiguity creates risk Thanks to our podcast sponsor, Cyera Cyera's AI-powered data security platform gives companies visibility over their sensitive data, context over the risk it represents, and actionable, prioritized remediation guidance. As a cloud-native, agentless platform, Cyera provides holistic data security coverage across SaaS, PaaS, IaaS and On-premise environments. Visit www.cyera.io to learn more.
In the dynamic world of technology, ongoing education is crucial for tech leaders. Jeff Suellentrop, Chief Information & Technology Officer at Phoenix Global, embodies this necessity. His role is not limited to understanding cutting-edge technologies but also involves staying informed about market trends and future directions. This continuous pursuit of knowledge and innovative solutions is vital for aligning technological advancements with business objectives. Tech leaders, by embracing lifelong learning, can adeptly navigate challenges and seize opportunities, ensuring their organizations thrive in an ever-changing landscape. Jeff's approach highlights the importance of curiosity and adaptability in driving success in the tech industry.Here's more about Jeff SuellentropBusiness and IT Executive with experience in global Fortune 100 Companies. Highly skilled in Digital transformations, enterprise architecture, team building, change management, and Data Strategy. Extensive hands on leadership experience, enabling, innovating and architecting strategies in high growth, fast paced companies across multiple industries.Customer obsessed executive with outstanding track record, operational excellence and innovations at 7-Eleven, Petco, Home Depot, Nike and Emerson.Partnered closely with C level leadership on multiple large scale business transformations around the globe in multiple industries (Retail, Apparel & Footwear, CPG, Wholesale, High Tech) that returned billions in RevenueKey business and technical leader in multiple ERP, CRM, OMS, POS, ECOM, Mobile, implementations across multiple partners SAP, IBM Sterling , Oracle, Salesforce, NCR, Manhattan…….Innovation driver, by leading and building teams and partnering with world class company's like Apple, Google, Microsoft.Line of business CIO with a team of over 100 and Budget of $100M+ that transformed IT from a support group to a Business partner delivering Millions in revenue and productivityDeep IT Strategy, Data, Security, and Enterprise Architecture experience with the modernization of IT with Agile Development, IOT,AI, Cloud, DevOps, SAAS, IAAS, PAAS, Micro serves, open ESB and complete New Data centers
All links and images for this episode can be found on CISO Series. This week's episode is hosted by me, David Spark (@dspark), producer of CISO Series and Mike Johnson, CISO, Rivian. Joining us is our sponsored guest, Jason Clark, chief strategy officer, Cyera. In this episode: Does AI require new security measures? Meeting the new SEC requirements Empowerment through data security Upskilling with Gen AI? Thanks to our podcast sponsor, Cyera! Cyera's AI-powered data security platform gives companies visibility over their sensitive data, context over the risk it represents, and actionable, prioritized remediation guidance. As a cloud-native, agentless platform, Cyera provides holistic data security coverage across SaaS, PaaS, IaaS and On-premise environments. Visit www.cyera.io to learn more.
All links and images for this episode can be found on CISO Series. Check out this post for the discussion that is the basis of our conversation on this week's episode co-hosted by me, David Spark (@dspark), the producer of CISO Series, and Steve Zalewski. Joining us is our sponsored guest, Lamont Orange, CISO, Cyera. In this episode: The data security check has come due Putting data security at the heart of defense in depth Automation is key You need to know what you're protecting Thanks to our podcast sponsor, Cyera Cyera's AI-powered data security platform gives companies visibility over their sensitive data, context over the risk it represents, and actionable, prioritized remediation guidance. As a cloud-native, agentless platform, Cyera provides holistic data security coverage across SaaS, PaaS, IaaS and On-premise environments. Visit www.cyera.io to learn more.
In this episode of The 5G Factor, our series that focuses on all things across the 5G ecosystem, we review key 5G ecosystem developments including Microsoft's dramatic scale back of Azure for Operators (AfO) unit, Nokia and Dell strengthening their alliance to help accelerate Cloud RAN deployments, and Ericsson spotlight on how private 5G (P5G) can play integral role in streamlining airport operations. Our analytical review drilled down on: Microsoft Conducts Azure for Operators Purge. Microsoft reportedly cut as many as 1,500 jobs at its Azure for Operators and Mission Engineering units, as the move appears to have hit hard the teams responsible for developing network functions, moving on from its 2020 acquisitions of Metaswitch and Affirmed Networks. The move indicates that Microsoft will ultimately look to sell or phase out its Metaswitch and Affirmed-originated application portfolio assets. We explore the ramifications for Microsoft's key telecom rivals such as AWS and Alianza as well as how moving Microsoft's focus on the infrastructure as a service (IaaS) side of the business boosts the likelihood that future engagements will look to combine applications from telco specialists such as Ericsson and Nokia with the Microsoft cloud. Nokia Dell Show AnyRAN Alliance Progress. Nokia's AnyRAN partnership with Dell is now over a year in the making. Nokia's anyRAN proposition is built to allow operators to flexibly deploy RAN functions using cloud-native containerized software on any cloud infrastructure including public, private or hybrid clouds. Nokia's software-centric approach aligns with Dell's strengths in cloud data center solutions. Nokia and Dell have successfully completed an Open RAN trial with Vodafone Italy, alongside testing of the Cloud RAN management system. We assess why we see the alliance is ready to make tangible breakthroughs as the Nokia Cloud RAN solution is now ready for commercial deployments in H2 2024. Ericsson Views P5G as Antidote to Legacy Airline Ops. For many years now, airport communications have relied heavily on legacy systems, such as Terrestrial Trunked Radio (TETRA), Project 25 (P25), and Digital Mobile Radio (DMR). While these systems provide basic voice communication, their limited bandwidth renders them unsatisfactory for meeting the burgeoning demand for data and video communications across airport environments – not good. Deploying and maintaining multiple parallel networks, including Wi-Fi networks, is a costly affair. Workers carrying multiple devices for various purposes face cumbersome workflows, and siloed systems and applications lead to operational inefficiencies. We review how firms like Streamwide and Airbus are providing solutions that support the co-existence of TETRA and cellular networks in airport settings, aiding the transition to modernized communication systems. This includes private 5G networks (P5G) that can provide a unified connectivity that works across applications and with existing connectivity like Wi-Fi, promising a future where airports can operate with enhanced efficiency and flexible connectivity for a streamlined travel experience.
In this episode of Oh Ship Show, host Freddie Laker is joined by Nataraj Sindam, a sper talented product manager. Nataraj leads a team of engineers and designers to build and scale Azure Files, a cloud service providing secure and scalable file storage for enterprises. With a robust background in Computer Science and Mathematics, Nataraj has significantly enhanced the performance, reliability, and usability of various products, including healthcare software, Dynamics 365, and hybrid cloud solutions.Nataraj is also the creator and host of the Startup Project, a podcast and blog dedicated to the ideas and strategies behind tech startups and venture capital. He interviews founders, investors, and experts, sharing invaluable insights on how to build, fund, and grow innovative businesses. Additionally, Nataraj invests in early-stage companies in the US and India, focusing on AI, IaaS, PaaS, and SaaS domains.Freddie and Nataraj dive into the fascinating world of AI, exploring its potential, challenges, and common myths. Join us for an engaging conversation about the future of AI and its impact on the business world.If you enjoyed this episode of Oh Ship! Show, please:
All links and images for this episode can be found on CISO Series. This week's episode is hosted by me, David Spark (@dspark), producer of CISO Series and Andy Ellis (@csoandy), operating partner, YL Ventures. Joining me is my guest, Aamir Niazi, executive director and CISO, SMBC Capital Markets. In this episode: Communicating security accomplishments Spotting red flags in an interview What does offensive security look like today? Where Gen AI is fitting into cybersecurity Thanks to our podcast sponsor, Cyera Cyera's AI-powered data security platform gives companies visibility over their sensitive data, context over the risk it represents, and actionable, prioritized remediation guidance. As a cloud-native, agentless platform, Cyera provides holistic data security coverage across SaaS, PaaS, IaaS and On-premise environments. Visit www.cyera.io to learn more.
Several years ago, I heard about a new product coming in Azure that would provide an IaaS (infrastructure as a service) VM to run SQL Server, with Microsoft managing most of the admin tasks for the instance, like patching and backups. That didn't seem like a big load to me, and I wondered if anyone would actually pay for this product. After all, don't most companies find managing patches and backups? That product became Azure SQL Managed Instance, and I've been surprised at the adoption. Quite a few clients have adopted this as a way to lift and shift (mostly) to the cloud in an easy fashion without the restrictions of Azure SQL Database. This looks like a "normal" on-premises SQL Server, and there are both high-performance (Business Critical tier) and average-performance (General Purpose tier) versions of the product that let you choose what level of price/performance you need to achieve. Read the rest of Managed Instance Impressions
One of the key insights from the podcast episode is the projection that the global IT services market is expected to reach $2 trillion by 2028. This growth is primarily attributed to cloud modernization, with hyperscalers like AWS, Microsoft, and Google Cloud leading the way. These hyperscalers are driving the growth in the market, particularly in the area of infrastructure-as-a-service (IaaS), where spending is expected to double in the next five years. The rise in the value of GPU sales, as mentioned in the episode, is also contributing to this trend. The increase in GPU sales is linked to the proliferation of artificial intelligence (AI) technologies, which are becoming increasingly prevalent in various industries. This indicates a growing demand for advanced computing capabilities to support AI applications, further fueling the growth of the IT services market. Maryland's enactment of the Maryland Online Data Privacy Act signifies a significant step towards enhancing consumer data protection within the state. The new legislation imposes stricter privacy standards on businesses operating in Maryland, compelling them to limit the data they collect from Maryland consumers. This move aligns with the broader trend of states enhancing consumer data rights through privacy legislation, as seen in the increasing number of states implementing similar laws. Three things to know today00:00 Small vs. Mid-Sized Business Outlooks on Economy and Revenue Growth Diverge03:39 Maryland Joins States Enhancing Consumer Data Rights with New Privacy Legislation06:11 Secure by Design: A Shift in Cybersecurity Paradigm Promoted at RSA Conference Supported by: https://huntress.com/mspradio/ All our Sponsors: https://businessof.tech/sponsors/ Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/ Support the show on Patreon: https://patreon.com/mspradio/ Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessoftech.bsky.social
In this episode of Infrastructure Matters, hosts Steven Dickens and Camberley Bates cover the Rubrik IPO, Oracle's positioning in the cloud market, plus IBM's Storage announcements. Key topics covered: Rubric IPO: Rubric, a data protection company, went public with a $5.6 billion valuation, emphasizing its scale-out data protection capability and its focus on cybersecurity. IBM Earnings and Acquisition: IBM reported solid earnings, with notable growth in software and hybrid cloud, and announced the acquisition of HashiCorp for $35 a share, enhancing its open-source support model. IBM Storage Announcements: IBM introduced Storage Assurance Perpetual, a program aimed at keeping customers' storage infrastructure current over an eight-year period, and unveiled enhancements to its virtualized storage product, SVC, focusing on replication and mirroring capabilities. Google Cloud Growth: Google Cloud's revenue surged 28% year-on-year, nearing $10 billion for the quarter, signaling strong sales execution and growth momentum in the enterprise market. Oracle Developments: Oracle showcased its Exadata platform's cloud connectivity and cost-effectiveness, positioning itself as a competitive player in the IaaS space. Larry Ellison's involvement highlighted the company's AI strategy and its integration with the Cerner acquisition for healthcare innovation.
John Yue (CEO & Co-Founder @ inference.ai) discusses AI workload sizing, matching GPUs to workloads, availability of GPUs vs. costs, and more.SHOW: 815CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"SHOW NOTES:Inference.ai (homepage)TechCrunch postSiliconAngle post on ChatGPUTopic 1 - Our topic for today is sizing and IaaS hosting for AI/ML. We've covered a lot of basics lately, today we're going to dig deeper. There is a surprising amount of depth to AI sizing, and it isn't just speeds and feeds of GPUs. We'd like to welcome John Yue (CEO & Co-Founder @ inference.ai) for this discussion. John, welcome to the showTopic 2 - Let's start with sizing, I've talked to a lot of customers recently with my day job, and it is amazing how deep AI/ML sizing can go. First, you have to size for training/fine-tuning differently than you would for the inference stage. Second, some just think, pick the biggest GPUs you can afford and go. How should your customers approach this? (GPU's, software dependencies, etc.)Topic 2a - Follow-up question what are the business side, what are the business parameters that need to be considered? (budget, cost efficiency, latency/response time, timeline, etc.)Topic 3 - The whole process can be overwhelming and as we mentioned, some organizations may not think of everything. You recently announced a chatbot to help with this exact process, ChatGPU. Tell everyone a bit about that and how it came to be.Topic 4 - This is almost like a match-making service, correct? Everyone wants an H100, but not everyone needs or can afford an H100.Topic 5 - How does GPU availability play into all of this? NVIDIA is sold out for something like 2 years at this point; how is that sustainable? Does everything need to run on a “Ferrari class” NVIDIA GPU?Topic 6 - What's next in the IaaS for AI/ML space? What does a next-generation data center for AI/ML look like? Will the Industry move away from GPUs to reduce dependence on NVIDIA?FEEDBACK?Email: show at the cloudcast dot netTwitter: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod
In this episode, Andy and Adam discuss the importance of VDI (Virtual Desktop Infrastructure) in security and enterprise architecture. They highlight the security benefits of VDI, such as separating end user environments from the underlying physical hardware, centralized management of baseline images and patches, and the ability to keep sensitive data in the data center. They also explore the shared responsibility model in cloud computing, where the cloud provider is responsible for the security of the infrastructure, but the end users are responsible for protecting their data and assets stored in the cloud. Takeaways -VDI provides security benefits by separating end user environments from the underlying physical hardware and centralizing management of baseline images and patches. -The shared responsibility model in cloud computing means that while the cloud provider is responsible for the security of the infrastructure, the end users are responsible for protecting their data and assets stored in the cloud. -Understanding the shared responsibility model is crucial for security practitioners to ensure they are defending their organization's data effectively. -Minimizing the use of IaaS and on-premises models in favor of PaaS and SaaS models can reduce the organization's security responsibilities and provide better security. -It's important to know what you're responsible for in terms of data protection and security when using cloud services. ----------------------------------------------------------- YouTube Video Link: ----------------------------------------------------------- Documentation: https://x.com/itguysocal/status/1769052129111707877?s=46&t=wVpJpdH7u2mDZZDEtx3bMg https://learn.microsoft.com/en-us/azure/security/fundamentals/shared-responsibility https://aws.amazon.com/compliance/shared-responsibility-model/ https://cloud.google.com/architecture/framework/security/shared-responsibility-shared-fate ----------------------------------------------------------- Contact Us: Website: https://bluesecuritypod.com Twitter: https://twitter.com/bluesecuritypod Linkedin: https://www.linkedin.com/company/bluesecpod Youtube: https://www.youtube.com/c/BlueSecurityPodcast ----------------------------------------------------------- Andy Jaw Twitter: https://twitter.com/ajawzero LinkedIn: https://www.linkedin.com/in/andyjaw/ Email: andy@bluesecuritypod.com ----------------------------------------------------------- Adam Brewer Twitter: https://twitter.com/ajbrewer LinkedIn: https://www.linkedin.com/in/adamjbrewer/ Email: adam@bluesecuritypod.com --- Send in a voice message: https://podcasters.spotify.com/pod/show/blue-security-podcast/message
Not a hypervisor, but a management platform with hooks into many virtualization stacks... #Apache CloudStack orchestrating #IaaS environments across cloud infrastructures including public, private, and hybrid setups, containers and more! Join us in Episode 82 of Great Things with Great Tech, featuring Rohit Yadav, VP of Engineering at Apache CloudStack. Rohit and I talk about the evolution of Apache CloudStack from its early days at cloud.com to the Citrix acquisition, to donation to the Apache Cloud Foundation to now, becoming a key player in providing turnkey, scalable cloud solutions across various industries. Apache CloudStack has matured into a robust cloud orchestration platform, enabling enterprises and service providers to efficiently manage large-scale cloud environments. With its comprehensive support for multiple hypervisors, seamless Kubernetes integration, and low total cost of ownership, CloudStack continues to be a pivotal force in the cloud computing sector. Technology and Topics Mentioned: Apache CloudStack VMware, KVM, XenServer Kubernetes Integration CloudStack UI Enhancements Terraform and Ansible Multi-tenancy and High Availability Open Source Licensing: GPL and Apache Virtualization Technologies Storage Solutions: NFS, Ceph, MinIO Network Virtualization and MPLS Support VMware and Broadcom Developments Cloud Computing Platforms: OpenStack, OpenNebula ☑️ Web: https://https://cloudstack.apache.org/ ☑️ Crunchbase:https://www.crunchbase.com/organization/apache-cloudstack ☑️ Support the Channel: https://ko-fi.com/gtwgt ☑️ Technology and Topics Mentioned: Truebit, Blockchain, Offchain Verification, Web 3.0, Decentralized Applications, Game Theory, AI, Supply Chain, Compliance. ☑️ Be on #GTwGT: Contact via Twitter @GTwGTPodcast or visit https://www.gtwgt.com ☑️ Subscribe to YouTube: https://www.youtube.com/@GTwGTPodcast?sub_confirmation=1 ☑️ Subscribe to Spotify: https://open.spotify.com/show/5Y1Fgl4DgGpFd5Z4dHulVX • Web: https://gtwgt.com • Twitter: https://twitter.com/GTwGTPodcast • Apple Podcasts: https://podcasts.apple.com/us/podcast/id1519439787?mt=2&ls=1 ☑️ Music: https://www.bensound.com
Embracing Technology to Harness the Power of AI for Small Business Success is covered in this podio, along with the following subjects: - Productivity and efficiency - Automating customer service - Analyzing data ************************************************************************************** Harnessing the power of AI can greatly enhance small business productivity and efficiency. With the advancements in artificial intelligence technology, small businesses now have access to tools and solutions that were once only available to larger enterprises. By leveraging AI, small businesses can save time and resources, allowing them to focus on growth and innovation. Whether it's automating customer service or utilizing machine learning algorithms to analyze data, AI is revolutionizing the way small businesses operate and compete in today's fast-paced digital landscape. Carl Mazzanti is a top-tier IT guy with personality—and the ability to assemble a world-class crew to solve business problems. Camped on the leading edge of business technology, Carl knows it, lives it, loves it, and labors passionately to see that clients prosper with it. A lifelong partnership is more important to him than the transaction. Carl's firm, eMazzanti Technologies, is all about delivering powerful, efficient outsourced IT services, such as computer network management, proactive 24/7 monitoring and support, retail IT infrastructure, payment technology and POS, PCI DSS compliance, cloud hosting and backup, affordable DRaaS and IaaS solutions, business continuity and disaster recovery, managed print, mobile workforce technology, information security, and business information optimization. His firm manages over 400 active accounts ranging from professional services firms to high-end global retailers. eMazzanti has been recognized as a 2015, 2014, 2013, and 2012 Microsoft Partner of the Year, a 5X WatchGuard Technologies Partner of the Year, and has made the Inc. 5000 list seven years running. Despite all that, eMazzanti Technologies is fun, innovative, and professional. As likable as he is knowledgeable, Carl will shake 10,000 hands a year speaking at conferences and attending industry events. He is family-first and super loyal. His son accumulated 300,000 frequent flyer miles traveling to 7 countries, and 28 states by the time he was 5… Carl takes him along. Carl is a graduate of Georgetown University, with a triple major in Finance, New and Small Business Management, and International Business. Jennifer, his wife and business partner, is smarter. His interests include snowboarding, sailing, and minor-league baseball, but mostly he works and takes the kids on outings.
Send us a Text Message.How to get start with security basics for IaaS, PaaS or SaaS platforms. We start with cloud types , native controls, advance controls, compliance etc,Support the Show.Google Drive link for Podcast content:https://drive.google.com/drive/folders/10vmcQ-oqqFDPojywrfYousPcqhvisnkoMy Profile on LinkedIn: https://www.linkedin.com/in/prashantmishra11/Youtube Channnel : https://www.youtube.com/@TheCybermanShow Twitter handle https://twitter.com/prashant_cyber PS: The views are my own and dont reflect any views from my employer.
The past twenty-four months have seen cloud spending face dual headwinds of macroeconomics and the ability to dial down resources as needed – i.e. cloud optimization. Nonetheless, the big four hyperscalers clocked in between $170 – $190B in IaaS and PaaS revenue last year depending on how you factor the leaked court documents suggesting Azure is much smaller than previously believed. Regardless, hyperscaler growth continued to outpace almost all markets, accelerating between 18-19% in revenue terms last year, despite their enormous size.As we progress into 2024, IT decision makers are cautiously optimistic about spending levels, especially for the second half. All hyperscalers report that cloud optimization is slowing although pockets of cloud cost cutting remain. While AI gets all the headlines, its contribution to revenue is still a small fraction of the overall spending pie. For example, we estimate that Microsoft's AI services accounted for around $800M this past quarter. But the trajectory for AI services and the potential uplift looks promising for all four hyperscalers. We think collectively the generative AI uplift in cloud will surpass $10B this year.In this Breaking Analysis we update you on our latest hyperscale cloud spending and marketshare data. We'll analyze the ETR survey data on cloud optimization, assess the Gen AI updraft for the big 3 US cloud players and look at some of the industry trend data on cloud spend by platform.
Have you ever wondered about the masterminds shaping the cloud computing landscape? In today's episode of Tech Talks Daily Podcast, we dive into the world of cloud innovation with a special guest, Darren Shepherd, the Chief Architect and co-founder of Acorn Labs. Darren's journey in the cloud space has been nothing short of remarkable. From his early days at GoDaddy to creating CloudStack, the most comprehensive IaaS platform, and his influential projects like Rancher and k3s, he has continuously pushed the boundaries of cloud technology. His latest venture, Acorn Labs, marks a significant step in making cloud computing more accessible and user-friendly with its innovative platform, Acorn. In this episode, we explore how Acorn is changing the game by allowing users to run software in their own cloud sandbox and share their creations effortlessly. We delve into the challenges and triumphs Darren has faced in his over-a-decade-long journey in cloud development. With over 22,000 followers on Twitter, Darren is not just a developer but a voice for the community, constantly influencing and inspiring many in the field. As we navigate this conversation, we'll uncover the opportunities and hurdles in today's cloud computing landscape. What does the future hold for cloud technology, and how can platforms like Acorn simplify the complex world of cloud computing for everyday users and businesses? How does Darren's experience at GoDaddy and his work on CloudStack inform his vision at Acorn Labs? Join us in this enlightening discussion as we seek to understand the nuances of cloud technology from one of its leading innovators. And as always, we're eager to hear your thoughts. What are your views on the evolution of cloud computing, and how do you think platforms like Acorn can shape its future?
More than a decade into cloud, is cloud just a feature of the systems we build these days? What else might become features in the near future? SHOW: 784CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"SHOW SPONSORS:Find "Breaking Analysis Podcast with Dave Vellante" on Apple, Google and SpotifyKeep up to data with Enterprise Tech with theCUBEDatadog Synthetic Monitoring: Frontend and Backend Modern MonitoringEnsure frontend issues don't impair user experience by detecting user-facing issues with API and browser tests with a free 14 day Datadog trial. Listeners of The Cloudcast will also receive a free Datadog T-shirt. SHOW NOTES:IS THE CLOUD JUST A FEATURE NOW?On-demand pricingOn-demand resourcesSomeone else manages it for youAPI access to systemsA wide breadth of IaaS, PaaS, and SaaS servicesWHAT MIGHT BECOME A FEATURE OF MODERN SYSTEMS?DevOps becomes integrated Co-Pilots via LLMsFinOps gets built into the systems, like vMotion from VMwarePre-Testing, Pre-Planning gets built in (like System Initiative)Chaos engineering gets built-inCollaboration gets built-inThe OS becomes like containers and gets deterministicUpgrades are built-inTraining, Docs, Examples are built-inLESSONS LEARNEDThe cross the chasm adoption isn't just for a specific technology, it's for bigger systems tooRarely does the new thing completely replace the old thing (mobile excluded)Innovation will need to continue to be creative (e.g. open source, pricing, etc.)“Failures” are usually just incremental stepsFEEDBACK?Email: show at the cloudcast dot netTwitter: @thecloudcastnet
On today's episode, Elixir Wizards Owen Bickford and Dan Ivovich compare notes on building web applications with Elixir and the Phoenix Framework versus Ruby on Rails. They discuss the history of both frameworks, key differences in architecture and approach, and deciding which programming language to use when starting a project. Both Phoenix and Rails are robust frameworks that enable developers to build high-quality web apps—Phoenix leverages functional programming in Elixir and Erlang's networking for real-time communication. Rails follows object-oriented principles and has a vast ecosystem of plug-ins. For data-heavy CRUD apps, Phoenix's immutable data pipelines provide some advantages. Developers can build great web apps with either Phoenix or Rails. Phoenix may have a slight edge for new projects based on its functional approach, built-in real-time features like LiveView, and ability to scale efficiently. But, choosing the right tech stack depends heavily on the app's specific requirements and the team's existing skills. Topics discussed in this episode: History and evolution of Phoenix Framework and Ruby on Rails Default project structure and code organization preferences in each framework Comparing object-oriented vs functional programming paradigms CRUD app development and interaction with databases Live reloading capabilities in Phoenix LiveView vs Rails Turbolinks Leveraging WebSockets for real-time UI updates Testing frameworks like RSpec, Cucumber, Wallaby, and Capybara Dependency management and size of standard libraries Scalability and distribution across nodes Readability and approachability of object-oriented code Immutability and data pipelines in functional programming Types, specs, and static analysis with Dialyzer Monkey patching in Ruby vs extensible core language in Elixir Factors to consider when choosing between frameworks Experience training new developers on Phoenix and Rails Community influences on coding styles Real-world project examples and refactoring approaches Deployment and dev ops differences Popularity and adoption curves of both frameworks Ongoing research into improving Phoenix and Rails Links Mentioned in this Episode: SmartLogic.io (https://smartlogic.io/) Dan's LinkedIn (https://www.linkedin.com/in/divovich/) Owen's LinkedIn (https://www.linkedin.com/in/owen-bickford-8b6b1523a/) Ruby https://www.ruby-lang.org/en/ Rails https://rubyonrails.org/ Sams Teach Yourself Ruby in 21 Days (https://www.overdrive.com/media/56304/sams-teach-yourself-ruby-in-21-days) Learn Ruby in 7 Days (https://www.thriftbooks.com/w/learn-ruby-in-7-days---color-print---ruby-tutorial-for-guaranteed-quick-learning-ruby-guide-with-many-practical-examples-this-ruby-programming-book--to-build-real-life-software-projects/18539364/#edition=19727339&idiq=25678249) Build Your Own Ruby on Rails Web Applications (https://www.thriftbooks.com/w/build-your-own-ruby-on-rails-web-applications_patrick-lenz/725256/item/2315989/?utm_source=google&utm_medium=cpc&utm_campaign=low_vol_backlist_standard_shopping_customer_acquisition&utm_adgroup=&utm_term=&utm_content=593118743925&gad_source=1&gclid=CjwKCAiA1MCrBhAoEiwAC2d64aQyFawuU3znN0VFgGyjR0I-0vrXlseIvht0QPOqx4DjKjdpgjCMZhoC6PcQAvD_BwE#idiq=2315989&edition=3380836) Django https://github.com/django Sidekiq https://github.com/sidekiq Kafka https://kafka.apache.org/ Phoenix Framework https://www.phoenixframework.org/ Phoenix LiveView https://hexdocs.pm/phoenixliveview/Phoenix.LiveView.html#content Flask https://flask.palletsprojects.com/en/3.0.x/ WebSockets API https://developer.mozilla.org/en-US/docs/Web/API/WebSockets_API WebSocket connection for Phoenix https://github.com/phoenixframework/websock Morph Dom https://github.com/patrick-steele-idem/morphdom Turbolinks https://github.com/turbolinks Ecto https://github.com/elixir-ecto Capybara Testing Framework https://teamcapybara.github.io/capybara/ Wallaby Testing Framework https://wallabyjs.com/ Cucumber Testing Framework https://cucumber.io/ RSpec https://rspec.info/
Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: On the Executive Order, published by Zvi on November 1, 2023 on LessWrong. Or: I read the executive order and its fact sheet, so you don't have to. I spent Halloween reading the entire Biden Executive Order on AI . This is the pure 'what I saw reading the document' post. A companion post will cover reactions to this document, but I wanted this to be a clean reference going forward. Takeaway Summary: What Does This Do? It mostly demands a lot of reports, almost entirely from within the government. A lot of government employees will be writing a lot of reports. After they get those reports, others will then write additional reports. There will also be a lot of government meetings. These reports will propose paths forward to deal with a variety of AI issues. These reports indicate which agencies may get jurisdiction on various AI issues. Which reports are requested indicates what concerns are most prominent now. A major goal is to get AI experts into government, and get government in a place where it can implement the use of AI, and AI talent into the USA. Another major goal is ensuring the safety of cutting-edge foundation (or 'dual use') models, starting with knowing which ones are being trained and what safety precautions are being taken. Other ultimate goals include: Protecting vital infrastructure and cybersecurity, safeguarding privacy, preventing discrimination in many domains, protecting workers, guarding against misuse, guarding against fraud, ensuring identification of AI content, integrating AI into education and healthcare and promoting AI research and American global leadership. There are some tangible other actions, but they seem trivial with two exceptions: Changes to streamline the AI-related high skill immigration system. The closest thing to a restriction are actions to figure out safeguards for the physical supply chain for synthetic biology against use by bad actors, which seems clearly good. If you train a model with 10^26 flops, you must report that you are doing that, and what safety precautions you are taking, but can do what you want. If you have a data center capable of 10^20 integer operations per second, you must report that, but can do what you want with it. If you are selling IaaS to foreigners, you need to report that KYC-style. What are some things that might end up being regulatory requirements in the future, if we go in the directions these reports are likely to lead? Safety measures for training and deploying sufficiently large models. Restrictions on foreign access to compute or advanced models. Watermarks for AI outputs. Privacy enhancing technologies across the board. Protections against unwanted discrimination. Job protections of some sort, perhaps, although it is unclear how or what. Essentially that this is the prelude to potential government action in the future. Perhaps you do not like that for various reasons. There are certainly reasonable reasons. Or you could be worried in the other direction, that this does not do anything on its own, and that it might be confused for actually doing something and crowd out other action. No laws have yet been passed, no rules of substance put into place. One can of course be reasonably concerned about slippery slope or regulatory ratcheting arguments over the long term. I would love to see the energy brought to such concerns here, being applied to actual every other issue ever, where such dangers have indeed often taken place. I will almost always be there to support it. If you never want the government to do anything to regulate AI, or you want it to wait many years before doing so, and you are unconcerned about frontier models, the EO should make you sad versus no EO. If you do want the government to do things to regulate AI within the next few years, or if you are concerned about existen...
Guest: Jay Thoden van Velzen, Strategic Advisor to the CSO, SAP Topics: What are the challenges with shared responsibility for cloud security? Can you explain "shared" vs "separated" responsibility? In your article, you mention “shared faith”, we have “shared fate”, but we never heard of shared faith. What is this? Can you explain? What about the cloud models (SaaS, PaaS, IaaS), how does this sharing model differ? While at it, what is cloud, really? [yes, we really did ask this!] Resources: LinkedIn post and Blog EP132 Chaos Engineering for Security: How to Improve Software Resilience with Kelly Shortridge “Security Chaos Engineering” book Shared responsibility failures blog Shared fate at Google Cloud (also see blogs one and two) National Cyber Security strategy
Join us as we sit down with Ken Cox, President of Hostirian, to delve deep into the intricacies of data storage. Together, we'll unmask the often-overlooked risks and explore best practices to ensure your data remains secure and accessible.
Mary Ann and Alex were joined by Kirsten once again to parse the week's news and call out the biggest stories in startups and venture:California passed a law that will require venture firms to disclose certain market data concerning whom they are investing in. Some investors and venture groups are opposed to the law.ALIAVIA Ventures has put together a new fund to invest in women building tech companies in Australia and the United States, with a focus on helping Aussie companies reach the American market.Canopy Servicing raised a $15.2 million Series A1. Alex caught up with the company, hoping to learn what it took to raise a fintech round in 2023. Things have changed since the go-go days of 2021 when every round felt like a fintech round and every fintech round felt like a pre-IPO deal.And rounding out our deals of the week, Kirsten brought a fascinating $200 million deal between a private equity group and EVPassport. If the world is going to move more toward electric cars, then we're going to need more plugs in more places.From there, we worked to draw a connective line between the startup turbulence we've seen recently, with Braid shutting down, Shift and IronNet going under, and Blue Apron selling for a fraction of its former value.And to close, can technology solve a labor shortage in construction? And if so, what role will startups play in that work?We had a great chat with the CEO of Medium earlier this week, and have a packed agenda for you including another interview that we're excited about. More soon!For episode transcripts and more, head to Equity's Simplecast website.Equity drops at 7 a.m. PT every Monday, Wednesday and Friday, so subscribe to us on Apple Podcasts, Overcast, Spotify and all the casts. TechCrunch also has a great show on crypto, a show that interviews founders and more!
On this episode of the Futurum Tech Webcast – Interview Series, host Steven Dickens welcomes Clint Boulton Senior Advisor, Portfolio Marketing, APEX from Dell Technologies for a conversation on the power of Dell APEX and consumption-based multi-cloud strategies. Their discussion covers how Dell APEX aims to offer a cost-effective and flexible Infrastructure-as-a-Service (IaaS) solution by aligning costs with actual consumption and addressing the scaling and cost-containment challenges often seen in Public Clouds. They discuss how the platform provides a comprehensive range of services, including storage, data protection, and multi-cloud options, designed to right-size infrastructure and workloads for efficiency and regulatory compliance. Lastly, they discuss how Dell APEX focuses on life-cycle management to free up IT staff for strategic business initiatives while also incorporating robust security and data governance measures. Key topics in this episode include: Cost-Alignment: APEX's elastic scaling and pay-as-you-go model eliminates overprovisioning and aims to provide cost-effective scaling, addressing limitations of public cloud and FinOps. Comprehensive Service Offerings: Covers a wide array of IaaS needs from storage and data protection to cloud platforms, thereby offering multicloud flexibility and various custom solutions. Workload Efficiency: Allows for intentional placement and right-sizing of workloads, whether in public/private cloud or on-premises, to meet scalability, operational, and regulatory requirements. Resource Optimization: By offloading life-cycle management and other operations, it frees up IT staff for more strategic tasks, supported by Dell's capacity planning, performance gains, and direct support services. Learn more about the value of Dell APEX here.
On this episode of the Futurum Tech Webcast – Interview Series, host Daniel Newman welcomes Dell Technologies' Chris Burkhart, Director, Outbound & Partner Marketing for Dell APEX for a conversation on the power of Infrastructure-as-a-Service (IaaS) and the challenges Dell is helping its customers overcome in multicloud management, scalability, compliance and sustainability. Their discussion covers: We discuss the current state of multicloud management, and the key challenges Dell's customers are facing How IaaS helps businesses overcome their scalability and flexibility challenges What benefits organizations can expect in regards to budgets and staff efficiency, and why this is critical in today's workforce We learn some ways that IaaS can help organizations with their sustainability efforts How the Dell APEX solution can drive innovation within organizations
Lori MacVittie, Distinguished Engineer at F5, joins Jeff Dance to delve into the future of cloud computing, specifically, the benefits of the technology, the current state of the cloud, and how businesses can create more value from the cloud in the future.
Raj Bala, Founder of Perspect, joins Corey on Screaming in the Cloud to discuss all things generative AI. Perspect is a new generative AI company that is democratizing the e-commerce space, by making it possible to place images of products in places that would previously require expensive photoshoots and editing. Throughout the conversation, Raj shares insights into the legal questions surrounding the rise of generative AI and potential ramifications of its widespread adoption. Raj and Corey also dig into the question, “Why were the big cloud providers beaten to the market by OpenAI?” Raj also shares his thoughts on why company culture has to be organic, and how he's hoping generative AI will move the needle for mom-and-pop businesses. About RajRaj Bala, formerly a VP, Analyst at Gartner, led the Magic Quadrant for Cloud Infrastructure and Platform Services since its inception and led the Magic Quadrant for IaaS before that. He is deeply in-tune with market dynamics both in the US and Europe, but also extending to China, Africa and Latin America. Raj is also a software developer and is capable of building and deploying scalable services on the cloud providers to which he wrote about as a Gartner analyst. As such, Raj is now building Perspect, which is a SaaS offering at the intersection of AI and E-commerce.Raj's favorite language is Python and he is obsessed with making pizza and ice cream. Links Referenced:Perspect: https://perspect.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: This episode is sponsored in part by our friends at Thinkst Canary. Most folks find out way too late that they've been breached. Thinkst Canary changes this. Deploy Canaries and Canarytokens in minutes and then forget about them. Attackers tip their hand by touching 'em giving you one alert, when it matters. With 0 admin overhead and almost no false-positives, Canaries are deployed (and loved) on all 7 continents. Check out what people are saying at canary.love today!Corey: This episode is sponsored in part by our friends at Chronosphere. When it costs more money and time to observe your environment than it does to build it, there's a problem. With Chronosphere, you can shape and transform observability data based on need, context and utility. Learn how to only store the useful data you need to see in order to reduce costs and improve performance at chronosphere.io/corey-quinn. That's chronosphere.io/corey-quinn. And my thanks to them for sponsor ing my ridiculous nonsense. Corey: Welcome to Screaming in the Cloud. I'm Corey Quinn. Back again, after a relatively brief point in time since the last time he was on, is Raj Bala. Formerly a VP analyst at Gartner, but now instead of talking about the past, we are talking, instead, about the future. Raj, welcome back. You're now the Founder at Perspect. What are you doing over there?Raj: I am indeed. I'm building a SaaS service around the generative AI space at the intersection of e-commerce. So, those two things are things that I'm interested in. And so, I'm building a SaaS offering in that space.Corey: This is the first episode in which we're having an in-depth discussion about generative AI. It's mostly been a topic that I've avoided because until now, relatively recently, it's all been very visual. And it turns into sort of the next generation's crappy version of Instagram, where, “Okay. Well, Instagram's down, so can you just describe your lunch to me?” It's not compelling to describe a generated image on an audio-based podcast. But with the advent of things like ChatGPT, where suddenly it's muscling into my realm, which is the written word, suddenly it feels like there's a lot more attention and effort being paid to it in a bunch of places where it wasn't getting a lot of coverage before, including this one. So, when you talk about generative AI, are you talking in the sense of visual, in terms of the written word, in terms of all of the above, and more? Where's your interest lie?Raj: I think it's all of the above and more. My interest is in all of it, but my focus right now is on the image aspect of things. I've been pretty knee-deep in stable diffusion and all the things that it entails, and it is largely about images at this point.Corey: So, talk to me more about how you're building something that stands between the intersection of e-commerce and generative AI. Because when I go to perspect.com, I'm not staring at a web store in the traditional sense. I'm looking at something that—again, early days, I'm not judging you based upon the content of your landing page—but it does present as a bit more of a developer tool and a little bit less of a “look how pretty it is.”Raj: Yeah. It's very much a developer-focused e-commerce offering. So, as a software developer, if you want programmatic access to all things e-commerce and generative AI that are related to e-commerce, you can do that on perspect.com. So, yeah. It is about taking images of products and being able to put them in AI-generated places essentially.Corey: Got it. So, effectively you're trying to sell, I don't know, titanium jewelry for the sake of argument. And you're talking about now you can place it on a generated model's hand to display this rather than having to either fake it or alternately have a whole bunch of very expensive product shoots and modeling sessions.Raj: Exactly. Exactly. If you want to put this piece of jewelry in front of the Eiffel Tower or the Pyramids of Giza, you can do that in a few seconds as opposed to the expensive photo shoots that were once required.Corey: On some level, given that I spend most of my time kicking around various SaaS products, I kind of love the idea of stock photography modeling, I don't know, Datadog or whatnot. I don't know how that would even begin to pan out, but I'm totally here for it.Raj: That's funny.Corey: Now, the hard part that I'm seeing right now is—I mean, you used to work at Gartner for years.Raj: I did.Corey: You folks are the origin of the Gartner-hype cycle. And given all the breathless enthusiasm, massive amounts of attention, and frankly, hilarious, more than a little horrifying, missteps that we start seeing in public, it feels like we are very much in the heady early days of hype around generative AI.Raj: No doubt about it. No doubt about it. But just thinking about what's possible and what is being accomplished even week to week in this space is just mind-blowing. I mean, this stuff didn't exist really six months ago. And now, the open-source frameworks are out there. The ecosystems are developing around it. A lot of people have compared generative AI to the iPhone. And I think it's actually maybe bigger than that. It's more internet-scale disruption, not just a single device like the iPhone.Corey: It's one of those things that I have the sneaking suspicion is going to start showing up in a whole bunch of different places, manifesting in a whole host of different ways. I've been watching academia, largely, freak out about the idea that, “Well, kids are using it to cheat on their homework.” Okay. I understand the position that they're coming from. But it seems like whenever a new technology is unleashed on the world, that is the immediate, instantaneous, reflexive blowback—not necessarily picking on academics, in particular—but rather, the way that we've always done something is now potentially very easy to use thanks to this advance in technology. “Oh, crap. What do we do?” And there's usually a bunch of scurrying around in futile attempts to put the genie back in the bottle, which frankly, never works. And you also see folks trying to sprint, to sort of keep up with this. And it never really pans out. Society adapts, adjusts, and evolves. And I don't think that that's an inherently terrible thing.Raj: I don't think so either. I mean, the same thing existed with the calculator, right? Do you remember early days in school, they said you can't use a calculator, right? And—Corey: Because remember you will not have a calculator in your pocket as you go through life. Well, that was a lie.Raj: But during the test—during the test that you have to take, you will not have a calculator. And when the rubber meets the road in person during that test, you're going to have to show your skills. And the same thing will happen here. We'll just have to have ground rules and ways to check and balance whether people are cheating or not and adapt, just like you said.Corey: On some level, you're only really cheating yourself past a certain point.Raj: Exactly.Corey: There's value in being able to tell a story in a cohesive, understandable way.Raj: Absolutely.Corey: Oh, the computer will do it for me. And I don't know that you can necessarily depend on that.Raj: Absolutely. Absolutely. You have to understand more than just the inputs and outputs. You have to understand the black box in between enough to show that you understand the subject.Corey: One thing that I find interesting is the position of the cloud providers in this entire—Raj: Mm-hmm.Corey: —space. We have Google, who has had a bunch of execs talking about how they've been working on this internally for years. Like you get how that makes you look worse instead of better, right? Like they're effectively tripping over one another on LinkedIn to talk about how they've been working on this for such a long time, and they have something just like it. Well, yeah. Okay. You got beaten to market by a company less than a decade old.Azure has partnered with OpenAI and brought a lot of this to Bing so rapidly they didn't have time to update their more of a Bing app away from the “Use Bing and earn Microsoft coins” nonsense. It's just wow. Talk about a—being caught flat-footed on this. And Amazon, of course, has said effectively nothing. The one even slightly generative AI service that they have come out with that I can think of that anyone could be forgiven for having missed is—they unleashed this one year at re:Invent's Midnight Madness where they had Dr. Matt Wood get on stage with the DeepComposer and play a little bit of a song. And it would, in turn, iterate on that. And that was the last time any of us ever really heard anything about the DeepComposer. I've got one on my shelf. And I do not hear about it mentioned even in passing other than in trivia contests.Raj: Yeah. It's pretty fascinating. Amazon with all their might, and AWS in particular—I mean, AWS has Alexa, and so they've—the thing you give to Alexa is a prompt, right? I mean, it is generative AI in a large way. You're feeding it a prompt and saying do something. And it spits out something tokenized to you. But the fact that OpenAI has upended all of these companies I think is massive. And it tells us something else about Microsoft too is that they didn't have the wherewithal integrally to really compete themselves. They had to do it with someone else, right? They couldn't muster up the effort to really build this themselves. They had to use OpenAI.Corey: On some level, it's a great time to be a cloud provider because all of these experiments are taking place on top of a whole bunch of very expensive, very specific compute.Raj: Sure.Corey: But that is necessary but not sufficient as we look at it across the board. Because even AWS's own machine-learning powered services, it's only relatively recently that they seemed to have gotten above the “Step one, get a PhD in this stuff. Step two, here's all the nuts and bolts you have to understand about how to build machine-learning models.” Whereas the thing that's really caused OpenAI's stuff to proliferate in the public awareness is, “Okay. You got to a webpage, and you tell it what to draw, and it draws the thing.” Or “go ahead and rename an AWS service if the naming manager had a sense of creativity and a slight bit of whimsy.” And it comes out with names that are six times better than anything AWS has ever come out with.Raj: So, funny. I saw your tweet on that actually. Yeah. If you want to do generative AI on AWS today, it is hard. Oh, my gosh. That's if you can get the capacity. That's if you can get the GPU capacity. That's if you can put together the ML ops necessary to make it all happen. It is extremely hard. Yeah, so putting stuff into a chat interface is 1,000 times easier. I mean, doing something like containers on GPUs is just massively difficult in the cloud today.Corey: It's hard to get them in many cases as well. I had customers that asked, “Okay. What special preferential treatment can we get to get access to more GPUs?” It's like can you break the laws of physics or change global supply chain because if so, great. You've got this unlocked. Otherwise, good luck.Raj: I think us-east-2 a couple weeks ago for like the entire week was out of the GPU capacity necessary the entire week.Corey: I haven't been really tracking a lot of the GPU-specific stuff. Do you happen to know what a lot of OpenAI's stuff is built on top of from a vendoring perspective?Raj: I mean, it's got to be Nvidia, right? Is that what you're asking me?Corey: Yeah. I'm—I don't know a lot of the—again, this is not my area.Raj: Yeah, yeah.Corey: I am not particularly deep in the differences between the various silicon manufacturers. I know that AWS has their Inferentia chipset that's named after something that sounds like what my grandfather had. You've got a bunch of AMD stuff coming out. You've have—Intel's been in this space for a while. But Nvidia has sort of been the gold standard based upon GPU stories. So, I would assume it's Nvidia.Raj: At this point, they're the only game in town. No one else matters. The frameworks simply don't support anything other than Nvidia. So, in fact, OpenAI—them and Facebook—they are kind of leading some—a bunch of the open-source right now. So, it's—Stability AI, Hugging Face, OpenAI, Facebook, and all their stuff is dependent on Nvidia. None of it—if you look through the source code, none of it really relies on Inferentia or Trainium or AMD or Intel. It's all Nvidia.Corey: As you look across the current landscape—at least—let me rephrase that. As I look across the current landscape, I am very hard-pressed to identify any company except probably OpenAI itself as doing anything other than falling all over itself having been caught—what feels like—completely flat-footed. We've seen announcements rushed. We've seen people talking breathlessly about things that are not yet actively available. When does that stop? When do we start to see a little bit of thought and consideration put into a lot of the things that are being rolled out, as opposed to “We're going to roll this out as an assistant now to our search engine” and then having to immediately turn it off because it becomes deeply and disturbingly problematic in how it responds to a lot of things?Raj: You mean Sam Altman saying he's got a lodge in Montana with a cache of firearms in case AI gets out of control? You mean that doesn't alarm you in any way?Corey: A little bit. Just a little bit. And like even now you're trying to do things that, to be clear, I am not trying to push the boundaries of these things. But all right. Write a limerick about Elon Musk hurling money at things that are ridiculous. Like, I am not going to make fun of individual people. It's like I get that. But there is a punching-up story around these things. Like, you also want to make sure that's it not “Write a limerick about the disgusting habit of my sixth-grade classmate.” Like, you don't want to, basically, automate the process of cyber-bullying. Let's be clear here. But finding that nuance, it's a societal thing to wrestle with, on some level. But I think that we're anywhere near having cohesive ideas around it.Raj: Yeah. I mean, this stuff is going to be used for nefarious ways. And it's beyond just cyberbullying, too. I think nation-states are going to use this stuff to—as a way to create disinformation. I mean, if we saw a huge flux of disinformation in 2020, just imagine what's going to happen in 2024 with AI-generated disinformation. That's going to be off the charts.Corey: It'll be at a point where you fundamentally have to go back to explicitly trusted sources as opposed to, “Well, I saw a photo of it or a video of it” or someone getting onstage and dancing about it. Well, all those things can be generated now for, effectively, pennies.Raj: I mean, think about evidence in a courtroom now. If I can generate an image of myself holding a gun to someone's head, you have to essentially dismiss all sorts of photographic evidence or video evidence soon enough in court because you can't trust the authenticity of it.Corey: It makes providence and chain-of-custody issues far more important than they were before. And it was still a big deal. Photoshop has been around for a while. And I remember thinking when I was younger, “I wonder how long it'll be until videos become the next evolution of this.” Because there was—we got to a point fairly early on in my life where you couldn't necessarily take a photograph at face value anymore because—I mean, look at some of the special effects we see in movies. Yeah, okay. Theoretically, someone could come up with an incredibly convincing fake of whatever it is that they're trying to show. But back then, it required massive render farms and significant investment to really want to screw someone over. Now, it requires drinking a couple glasses of wine, going on the internet late at night, navigating to the OpenAI webpage, and typing in the right prompt. Maybe you iterate on it a little bit, and it spits it out for basically free.Raj: That's one of the sectors, actually, that's going to adopt this stuff the soonest. It's happening now, the film and movie industry. Stability AI actually has a film director on staff. And his job is to be sort of the liaison to Hollywood. And they're going to help build AI solutions into films and so forth. So, yeah. But that's happening now.Corey: One of the more amazing things that I've seen has been the idea of generative voice where it used to be that in order to get an even halfway acceptable model of someone's voice, they had to read a script for the better part of an hour. That—and they had to make sure that they did it with certain inflection points and certain tones. Now, you can train these things on, “All right. Great. Here's this person just talking for ten minutes. Here you go.” And the reason I know this—maybe I shouldn't be disclosing this as publicly as I am, but the heck with it. We've had one of me on backup that we've used intermittently on those rare occasions when I'm traveling, don't have my recording setup with me, and this needs to go out in a short time period. And we've used it probably a dozen times over the course of the 400 and some odd episodes we've done. One person has ever noticed.Raj: Wow.Corey: Now, having a conversation going back and forth, start pairing some of those better models with something like ChatGPT, and basically, you're building your own best friend.Raj: Yeah. I mean, soon enough you'll be able to do video AI, completely AI-generated of your podcast perhaps.Corey: That would be kind of wild, on some level. Like now we're going to animate the whole thing.Raj: Yeah.Corey: Like I still feel like we need more action sequences. Don't know about you, but I don't have quite the flexibility I did when I was younger. I can't very well even do a pratfall without wondering if I just broke a hip.Raj: You can have an action sequence where you kick off a CloudFormation task. How about that?Corey: One area where I have found that generative text AI, at least, has been lackluster, has been right a parody of the following song around these particular dimensions. Their meter is off. Their—the cleverness is missing.Raj: Hmm.Corey: They at least understand what a parody is and they understand the lyrics of the song, but they're still a few iterative generations away. That said, I don't want to besmirch the work of people who put into these things. They are basically—Raj: Mm-hmm.Corey: —magic.Raj: For sure. Absolutely. I mean, I'm in wonderment of some of the artwork that I'm able to generate with generative AI. I mean, it is absolutely awe-inspiring. No doubt about it.Corey: So, what's gotten you excited about pairing this specifically with e-commerce? That seems like an odd couple to wind up smashing together. But you have had one of the best perspectives on this industry for a long time now. So, my question is not, “What's wrong with you?” But rather, “What are you seeing that I'm missing?”Raj: I think it's the biggest opportunity from an impact perspective. Generating AI avatars of yourself is pretty cool. But ultimately, I think that's a pretty small market. I think the biggest market you can go after right now is e-commerce in the generative AI space. I think that's the one that's going to move the needle for a lot of people. So, it's a big opportunity for one. I think there are interesting things you can do in it. The technical aspects are equally interesting. So, you know, there are a handful of compelling things that draw me to it.Corey: I think you're right. There's a lot of interest and a lot of energy and a lot of focus built around a lot of the neat, flashy stuff. But it's “Okay. How does this windup serving problems that people will pay money for?” Like right now to get early access to ChatGPT and not get rate-limited out, I'm paying them 20 bucks a month which, fine, whatever. I am also in a somewhat privileged position. If you're generating profile photos that same way, people are going to be very hard-pressed to wind up paying more than a couple bucks for it. That's not where the money is. But solving business problems—and I think you're onto something with the idea of generative photography of products that are for sale—that has the potential to be incredibly lucrative. It tackles what to most folks is relatively boring, if I can say that, as far as business problems go. And that's often where a lot of value is locked away.Raj: I mean, in a way, you can think of generative AI in this space as similar to what cloud providers themselves do. So, the cloud providers themselves afforded much smaller entities the ability to provision large-scale infrastructure without high fixed costs. And in some ways, I know the same applies to this space too. So, now mom-and-pop shop-type people will be able to generate interesting product photos without high fixed costs of photoshoots and Photoshop and so forth. And so, I think in some ways it helps to democratize some of the bigger tools that people have had access to.Corey: That's really what it comes down to is these technologies have existed in labs, at least, for a little while. But now, they're really coming out as interesting, I guess, technical demos, for lack of a better term. But the entire general public is having access to these things. There's not the requirement that we wind up investing an enormous pile of money in custom hardware and the rest. It feels evocative of the revolution that was cloud computing in its early days. Where suddenly, if I have an idea, I don't need either build it on a crappy computer under my desk or go buy a bunch of servers and wait eight weeks for them to show up in a rack somewhere. I can just start kicking the tires on it immediately. It's about democratizing access. That, I think, is the magic pill here.Raj: Exactly. And the entry point for people who want to do this as a business, so like me, it is a huge hurdle still to get this stuff running, lots of jagged edges, lots of difficulty. And I think that ultimately is going to dissuade huge segments of the population from doing it themselves. They're going to want completed services. They're going to want finish product, at least in some consumable form, for their persona.Corey: What do you think the shaking out of this is going to look like from a cultural perspective? I know that right now everyone's excited, both in terms of excited about the possibility and shrieking that the sky is falling, that is fairly normal for technical cycles. What does the next phase look like?Raj: The next phase, unfortunately, is probably going to be a lot of litigation. I think there's a lot of that on the horizon already. Right? Stability AI's being sued. I think the courts are going to have to decide, is this stuff above board? You know, the fact that these models have been trained on otherwise copywritten data—copywritten images and music and so forth, that amounts to billions of parameters. How does that translate—how does that affect ages of intellectual property law? I think that's a question that—it's an open question. And I don't think we know.Corey: Yeah. I wish, on some level, that we could avoid a lot of the unpleasantness. But you're right. It's going to come down to a lot of litigation, some of which clearly has a point, on some level.Raj: For sure.Corey: But it's a—but that is, frankly, a matter for the courts. I'm privileged that I don't have to sit here and worry about this in quite the same way because I am not someone who makes the majority of my income through my creative works. And I am also not on the other side of it where I've taken a bunch of other people's creative output and use that to train a bunch of models. So, I'm very curious to know how that is going to shake out as a society.Raj: Yeah.Corey: I think that regulation is also almost certainly on the horizon, on some level. I think that tech has basically burned through 25 years of goodwill at this point. And nobody trusts them to self-regulate. And based upon their track record, I don't think they should.Raj: And interestingly, I think that's actually why Google was caught so flat-footed. Google was so afraid of the ramifications of being first and the downside optics of that, that they got a little complacent. And so, they weren't sure how the market would react to saying, “Here's this company that's known for doing lots of, you know, kind of crazy things with people's data. And suddenly they come out with this AI thing that has these huge superpowers.” And how does that reflect poorly on them? But it ended up reflecting poorly on them anyway because they ended up being viewed as being very, very late to market. So, yeah. They got pie on their face one way or the other.Corey: For better or worse, that's going to be one of those things that haunts them. This is the classic example of the innovator's dilemma. By becoming so focused on avoiding downside risk and revenue protection, they effectively let their lunch get eaten. I don't know that there was another choice that they could've made. I'm not sitting here saying, “That's why they're foolish.” But it's painful. If I'm—I'm in the same position right now. If I decide I want to launch something new and exciting, my downside risk is fairly capped. The world is my theoretical oyster. Same with most small companies. I don't know about you, what do you right now as a founder, but over here at The Duckbill Group, at no point in the entire history of this company, going back six years now, have we ever sat down for a discussion around, “Okay. If we succeed at this, what are the antitrust implications?” It has never been on our roadmap. It's—that's very firmly in the category of great problems to have.Raj: Really confident companies will eat their own lunch. So, you in fact see AWS do this all the time.Corey: Yes.Raj: They will have no problem disrupting themselves. And they're lots of data points we can talk about to show this. They will disrupt themselves first because they're afraid of someone else doing it before them.Corey: And it makes perfect sense. Amazon has always had a—I'd call it a strange culture, but that doesn't do it enough of a service just because it feels like compared to virtually any other company on the planet, they may as well be an alien organism that has been dropped into the world here. And we see a fair number of times where folks have left Amazon, and they wind up being so immersed in that culture, that they go somewhere else, and “Ah, I'm just going to bring the leadership principles with me.” And it doesn't work that way. A lot of them do not pan out outside of the very specific culture that Amazon has fostered. Now, I'm not saying that they're good or that they're bad. But it is a uniquely Amazonian culture that they have going on there. And those leadership principles are a key part of it. You can transplant that in the same way to other companies.Raj: Can I tell you one of the funniest things one of these cloud providers has said to me? I'm not going to mention the cloud provider. You may be able to figure out which one anyway, though.Corey: No. I suspect I have a laundry list to go out of these various, ridiculous things I have heard from companies. Please, I am always willing to add to the list. Hit me with it.Raj: So, a cloud provider—a big cloud provider, mine you—told me that they wanted Amazon's culture so bad that they began a thing where during a meeting—before each meeting, everyone would sit quietly and read a paper that was written by someone in the room so they all got on the same page. And that is distinctly an Amazon thing, right? And this is not Amazon that is doing this. This is some other cloud provider. So, people are so desperate for that bit of weirdness that you mentioned inside of Amazon, that they're willing to replicate some of the movements and the behaviors whole cloth hoping that they can get that same level of culture. But it has to be—it has to be organic. And it has to be at the root. You can't just take an arm and stick it onto a body and expect it to work, right?Corey: My last real job before I started this place was at a small, scrappy startup for three months. And then we were bought by an enormous financial company. And one of their stated reasons for doing it was, “Well, we really admire a lot of your startup culture, and we want to, basically, socialize that and adopt that where we are.” Spoiler. This did not happen. It was more or less coming from a perspective, “Well, we visited your offices, and we saw that you had bikes in the entryway and dogs in the office. And well, we went back to our office, and we threw in some bikes and added some dogs, but we didn't get any different result. What's the story here?” It's—you cannot cargo cult bits and pieces of a culture. It has to be something holistic. And let's be clear, you're only ever going to be second best at being another company. They're going to be first place. We saw this a lot in the early-2000s of “We're going to be the next Yahoo.” It's—why would I care about that? We already have original Yahoo. The fortune's faded, but here we are.Raj: Yeah. Agreed.Corey: On our last recording, you mentioned that you would be building this out on top of AWS. Is that how it's panned out? You still are?Raj: For the most part. For the most part. I've dipped my toes into trying to use GPU capacity elsewhere, using things like ECS Anywhere, which is an interesting route. There's some promise there, but there's still lots of jagged edges there too. But for the most part, there's not another cloud provider that really has everything I need from GPU capacity to serverless functions at the edge, to CDNs, to SQL databases. That's actually a pretty disparate set of things. And there's not another cloud provider that has literally all of that except AWS at this point.Corey: So far, positive experience or annoying? Let's put it that way.Raj: Some of it's really, really hard. So, like doing GPUs with generative AI, with containers for instance, is still really, really hard. And the documentation is almost nonexistent. The documentation is wrong. I've actually submitted pull requests to fix AWS documentation because a bunch of it is just wrong. So, yeah. It's hard. Some of it's really easy. Some it's really difficult.Corey: I really want to thank you for taking time to speak about what you're up to over at Perspect. Where can people go to learn more?Raj: www.perspect.com.Corey: And we will of course put a link to that in the [show notes 00:30:02]. Thank you so much for being so generous with your time. I appreciate it.Raj: Any time, Corey.Corey: Raj Bala, Founder at Perspect. I'm Cloud Economist Corey Quinn. And 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 haven't hated this podcast, please, leave a five-star review on your podcast platform of choice along with an angry, insulting comment that you got an AI generative system to write for you.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.
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