Podcasts about MongoDB

In this episode with Rishi Dave, a partner in Bain's Commercial Excellence practice with deep expertise in B2B marketing and digital marketing, he explains the concept of a "Day 1 List" in B2B sales and marketing and the three things that will get a supplier or seller on the list. Rishi also discussed what a "sales play" is, how to build it, institutionalize the knowledge within the company, and get the sales team to adopt the sales play to fulfill their potential and increase their productivity and sales. Rishi Dave partners with CMOs and management teams to drive marketing transformations and build modern marketing capabilities. He serves as an expert on the implementation of Bain's B2B Marketing Diagnostic and Sales Play System. Rishi has held global CMO roles at public technology and cloud companies, including Dun & Bradstreet, Vonage, and MongoDB. Prior to these roles, he served as the global head of digital marketing for Dell's B2B businesses. Rishi started his career at Bain & Company. As a marketing executive, Rishi has built world-class marketing organizations and capabilities that have driven top-line growth leveraging the right marketing technology, data, analytics and content strategy. Rishi has driven major brand and messaging transformations, reimagined digital customer experiences, and built and scaled go-to market models. Rishi earned an MBA in Marketing from The Wharton School at the University of Pennsylvania as well as a BS in Chemical Engineering and an AB in Economics with Honors from Stanford University.    Claim your free gift: Free gift #1 McKinsey & BCG winning resume www.FIRMSconsulting.com/resumePDF Free gift #2 Breakthrough Decisions Guide with 25 AI Prompts www.FIRMSconsulting.com/decisions Free gift #3 Five Reasons Why People Ignore Somebody www.FIRMSconsulting.com/owntheroom Free gift #4 Access episode 1 from Build a Consulting Firm, Level 1 www.FIRMSconsulting.com/build Free gift #5 The Overall Approach used in well-managed strategy studies www.FIRMSconsulting.com/OverallApproach Free gift #6 Get a copy of Nine Leaders in Action, a book we co-authored with some of our clients: www.FIRMSconsulting.com/gift

Today we sit down with John Lack, Global Head of Sales Development at Airtable, to demystify the world of software sales as a profession. John breaks down the immense rewards of the industry—from earning six figures right out of college as a successful BDR to mastering the "autonomy, mastery, and purpose" of high-level tech sales. We explore why the BDR role is the most critical time in a career for building foundational grit and why 90% of AE struggles stem from poor front-end pipeline generation. John also shares his own unconventional journey, starting as a BDR at age 30 and scaling teams through massive growth phases at Oracle and MongoDB.

Today on the Newcomer Podcast, we're at MongoDB.Local for a series of conversations on how enterprise AI is actually being built.MongoDB CEO CJ Desai joins the show 65 days into the role to explain why San Francisco is “back,” how MongoDB is repositioning itself for the AI era, and why unstructured data has made the company's platform a natural foundation for AI-native applications. He shares his view on the AI hype cycle, the rapid rise of companies like OpenAI and Anthropic, and why MongoDB is staying model-agnostic as AI product cycles accelerate.We also sit down with Rippling's Head of AI Ankur Bhatt to discuss how AI is being deployed inside a live enterprise system. The conversation covers building agents across payroll, IT, and finance, why agent identity and accountability matter, and how Rippling is approaching permissions, access control, and AI-driven productivity at scale.A grounded look at the enterprise AI stack, from the data layer to real-world deployment.MongoDB #Rippling #AIAgents #VentureCapital

Dominic Williams, President & Chief Scientist of the DFINITY Foundation and CEO of Caffeine AI, explains the Internet Computer and his vision of a “sovereign cloud where AI builds the web.” He breaks down core innovations like the Network Nervous System, Motoko, and orthogonal persistence, and how AI coding could remove adoption barriers. The conversation explores unstoppable applications, real-world case studies like OpenChat, and the tension between control, security, and decentralization in AI governance. LINKS: Anthropic article on smart contracts Caffeine AI official website Internet Computer network dashboard Liquid Reign book website Sponsors: Blitzy: Blitzy is the autonomous code generation platform that ingests millions of lines of code to accelerate enterprise software development by up to 5x with premium, spec-driven output. Schedule a strategy session with their AI solutions consultants at https://blitzy.com MongoDB: Tired of database limitations and architectures that break when you scale? MongoDB is the database built for developers, by developers—ACID compliant, enterprise-ready, and fluent in AI—so you can start building faster at https://mongodb.com/build Serval: Serval uses AI-powered automations to cut IT help desk tickets by more than 50%, freeing your team from repetitive tasks like password resets and onboarding. Book your free pilot and guarantee 50% help desk automation by week four at https://serval.com/cognitive Tasklet: Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai CHAPTERS: (00:00) About the Episode (03:37) Origins of Internet Computer (10:09) Decentralization philosophy and AI (15:12) Tamper-proof architecture explained (Part 1) (19:43) Sponsors: Blitzy | MongoDB (22:08) Tamper-proof architecture explained (Part 2) (25:25) Network design and scaling (Part 1) (33:30) Sponsors: Serval | Tasklet (35:50) Network design and scaling (Part 2) (36:56) Replication costs and cloud (50:35) Network Nervous System governance (59:33) Caffeine, Motoko and persistence (01:20:19) Self-writing cloud disruption (01:32:30) Resilience and security guarantees (01:41:23) Use cases and limitations (01:49:56) AI misalignment and ensembles (02:00:47) Kill switches and governance (02:09:12) Future of self-writing software (02:11:40) Outro PRODUCED BY: https://aipodcast.ing

Building on the web is like working with the perfect clay. It's malleable and can become almost anything. But too often, frameworks try to hide the web's best parts away from us. Today, we're looking at PyView, a project that brings the real-time power of Phoenix LiveView directly into the Python world. I'm joined by Larry Ogrodnek to dive into PyView. Episode sponsors Talk Python Courses Python in Production Links from the show Guest Larry Ogrodnek: hachyderm.io pyview.rocks: pyview.rocks Phoenix LiveView: github.com this section: pyview.rocks Core Concepts: pyview.rocks Socket and Context: pyview.rocks Event Handling: pyview.rocks LiveComponents: pyview.rocks Routing: pyview.rocks Templating: pyview.rocks HTML Templates: pyview.rocks T-String Templates: pyview.rocks File Uploads: pyview.rocks Streams: pyview.rocks Sessions & Authentication: pyview.rocks Single-File Apps: pyview.rocks starlette: starlette.dev wsproto: github.com apscheduler: github.com t-dom project: github.com Watch this episode on YouTube: youtube.com Episode #535 deep-dive: talkpython.fm/535 Episode transcripts: talkpython.fm Theme Song: Developer Rap

Why are there only a handful of companies in the world with over $10 billion in pure-play software revenue? CJ Desai believes the reason is that products are replaceable, but platforms are forever. For No Priors' very first live from MongoDB.local SF, Sarah Guo is joined by CJ Desai, CEO and President of software developer MongoDB, to discuss the shifting landscape of enterprise software. CJ discusses whether AI will erode the value of software, and what truly constitutes a “moat” in the age of generative AI. CJ also talks about why AI adoption with Fortune 500-sized companies is still lagging, the importance of customer relationships, and why the “bear thesis” on SaaS may be overblown.  Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @cj_mongodb | @MongoDB Chapters: 00:00 – Cold Open 00:58 – CJ Desai Introduction 01:38 – The AI Stack and the Future of Software 04:18 – Why Platforms, Not Products, Are Sticky 09:59 – Vibe Coding and the Threat of On-Demand Apps 12:15 – Paths to Success for Software Vendor Incumbents 14:24 – How CJ Chose MongoDB 18:55 – Debunking the SaaS Bear Thesis 22:07 – Fortune 500 Perspectives on AI Value 24:24 – Can AI Native Startups Replace Systems of Record? 28:10 – The Importance of Customer Relationships 31:46 – Managing Through Massive Technology Transitions 36:37 – Conclusion

In this AMA-style episode, Nathan takes on listener questions about whether fine-tuning is really on the way out, what emergent misalignment and weird generalization results tell us, and how to think about continual learning. He talks candidly about how he's personally preparing for AGI—from career choices and investing to what resilience steps he has and hasn't taken. The discussion also covers timelines for job disruption, whether UBI becomes inevitable, how to talk to kids and “normal people” about AI, and which safety approaches are most neglected. Sponsors: Blitzy: Blitzy is the autonomous code generation platform that ingests millions of lines of code to accelerate enterprise software development by up to 5x with premium, spec-driven output. Schedule a strategy session with their AI solutions consultants at https://blitzy.com MongoDB: Tired of database limitations and architectures that break when you scale? MongoDB is the database built for developers, by developers—ACID compliant, enterprise-ready, and fluent in AI—so you can start building faster at https://mongodb.com/build Serval: Serval uses AI-powered automations to cut IT help desk tickets by more than 50%, freeing your team from repetitive tasks like password resets and onboarding. Book your free pilot and guarantee 50% help desk automation by week four at https://serval.com/cognitive Tasklet: Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai CHAPTERS: (00:00) Ernie cancer update (04:57) Is fine-tuning dead (Part 1) (12:31) Sponsors: Blitzy | MongoDB (14:57) Is fine-tuning dead (Part 2) (Part 1) (26:56) Sponsors: Serval | Tasklet (29:15) Is fine-tuning dead (Part 2) (Part 2) (29:16) Continual learning cautions (34:59) Talking to normal people (39:30) Personal risk preparation (49:59) Investing around AI safety (01:00:39) Early childhood AI literacy (01:08:55) Work disruption timelines (01:27:58) Nonprofits, need, and UBI (01:34:53) Benchmarks, AGI, and embodiment (01:47:30) AI tooling and platforms (01:57:01) Discourse norms and shaming (02:05:50) Location and safety funding (02:15:17) Turpentine deal and independence (02:24:19) Outro PRODUCED BY: https://aipodcast.ing

Daniel Miessler shares his Personal AI Infrastructure (PAI) framework and vision for a future where single human owners are supported by armies of AI agents. He explains his TELOS system for defining purpose and goals, multi-layered memory design, and orchestration of multiple models and sub-agents. The conversation dives into cybersecurity impacts, from AI-accelerated testing to inevitable personalized spear-phishing and always-on defensive monitoring. Listeners will learn how scaffolding can turn frontier models into true digital assistants and even help reshape their own working habits. LINKS: PAI principles on GitHub README Daniel Miessler about page How Miessler's projects fit together AI changes predictions for 2026 Fabric open-source AI framework Personal AI Infrastructure GitHub repository Current definition of AGI article Why we'll have AGI by 2028 RAID AI definitions framework article Unsupervised Learning newsletter signup Daniel Miessler LinkedIn profile Sponsors: MongoDB: Tired of database limitations and architectures that break when you scale? MongoDB is the database built for developers, by developers—ACID compliant, enterprise-ready, and fluent in AI—so you can start building faster at https://mongodb.com/build Serval: Serval uses AI-powered automations to cut IT help desk tickets by more than 50%, freeing your team from repetitive tasks like password resets and onboarding. Book your free pilot and guarantee 50% help desk automation by week four at https://serval.com/cognitive MATS: MATS is a fully funded 12-week research program pairing rising talent with top mentors in AI alignment, interpretability, security, and governance. Apply for the next cohort at https://matsprogram.org/s26-tcr Tasklet: Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai PRODUCED BY: https://aipodcast.ing

Patrick McKenzie (patio11) sits down with Intercom co-founder Des Traynor to examine customer support through the lens of Conway's Law, Goodhart's Law, and several decades of accumulated organizational scar tissue. They discuss how AI agents are democratizing white-glove service, why modern LLMs have retrained user expectations around “chatbots” very quickly, and the surprisingly liberating effect of talking to something that will never judge you for missing a loan payment.–Full transcript available here: www.complexsystemspodcast.com/des-traynor/–Sponsor: MongoDB Tired of database limitations and architectures that break when you scale? MongoDB is the database built for developers, by developers: ACID compliant, Enterprise-ready, and fluent in AI. Start building faster at mongodb.com/build–Timestamps:(00:00) Intro(00:29) Intercom and its evolution(00:51) Challenges in customer service systems(02:54) Scaling customer support in startups(04:53) Organizational inefficiencies and customer experience(06:53) Metrics and their impact on customer support(12:40) Human capital issues in customer support(15:53) AI's role in customer support(17:01) Future of customer support roles(20:09) Sponsor: MongoDB(20:53) Future of customer support roles (continued)(26:19) AI and customer interaction(26:55) The myth of artisanal customer support(27:45) Fin Guidance: Evolution and user behavior(29:10) Fin's impact on customer support efficiency(33:30) Expanding Fin's capabilities beyond support(42:50) AI in government and other sectors(49:20) The future of AI connectivity and integration

Risky Business returns for 2026! Patrick Gray and Adam Boileau talk through the week's cybersecurity news, including: Santa brings hackers MongoDB memory leaks for Christmas Vercel pays out a million bucks to improve its React2Shell WAF defences 39C3 delivers; the pink Power Ranger deletes nazis, while a catgirl ruins GnuPG Cambodian scam compound kingpin gets extradited to China, and we don't think it'll go well for him Krebs picks apart the Kimwolf botnet and residential proxy networks So many healthcare data leaks that we have a roundup section This week's episode is sponsored by Airlock Digital. The founders of the application allow-listing vendor, David Cottingham and Daniel Schell, discuss Microsoft's ClickOnce .NET app packaging, and how attackers have been abusing it to load code. Airlock hates it when you load code! This episode is also available on Youtube. Show notes US, Australia say ‘MongoBleed' bug being exploited | The Record from Recorded Future News Merry Christmas Day! Have a MongoDB security incident. | by Kevin Beaumont | Dec, 2025 | DoublePulsar Inside Vercel's sleep-deprived race to contain React2Shell | CyberScoop gpg.fail Hacktivist deletes white supremacist websites live onstage during hacker conference | TechCrunch Chinese attackers exploiting zero-day to target Cisco email security products | The Record from Recorded Future News Ni8mare  -  Unauthenticated Remote Code Execution in n8n (CVE-2026-21858) | Cyera Research Labs ServiceNow patches critical AI platform flaw that could allow user impersonation | CyberScoop Alleged cyber scam kingpin arrested, extradited to China | The Record from Recorded Future News FCC IoT labeling program loses lead company after China probe | Cybersecurity Dive Trump picks Lt. Gen. Joshua Rudd to lead NSA spy agency - The Washington Post NSA cyber directorate gets new acting leadership | The Record from Recorded Future News Dutch court sentences hacker who used port systems to smuggle cocaine to 7 years | The Record from Recorded Future News ECLI:NL:GHAMS:2026:22, Amsterdam Court of Appeal, 23-003218-22 The Kimwolf Botnet is Stalking Your Local Network – Krebs on Security Who Benefited from the Aisuru and Kimwolf Botnets? – Krebs on Security Coupang recovers smashed laptop that alleged data leaker threw into river | The Record from Recorded Future News Ransomware responders plead guilty to using ALPHV in attacks on US organizations | The Record from Recorded Future News Nearly 480,000 impacted by Covenant Health data breach | The Record from Recorded Future News Illinois health department exposed over 700,000 residents' personal data for years | TechCrunch Tech provider for NHS England confirms data breach | TechCrunch Hacker claiming to be behind ManageMyHealth breach: ‘I do it for the money and I'm in negotiations to get it' - NZ Herald

Baris Gultekin, VP of AI at Snowflake, explains how “bringing AI to the data” is reshaping enterprise AI deployment under strict security and governance requirements. PSA for AI builders: Interested in alignment, governance, or AI safety? Learn more about the MATS Summer 2026 Fellowship and submit your name to be notified when applications open: https://matsprogram.org/s26-tcr. He shares the importance of bringing AI directly to governed enterprise data, advances in text-to-SQL and semantic modeling, and why high-quality retrieval is foundational for trustworthy AI agents. Baris also dives into Snowflake's approach to agentic AI, including Snowflake Intelligence, model choice and cost tradeoffs, and why governance, security, and open standards are essential as AI becomes accessible to every business user. LINKS: AWS' Automated Reasoning checks Sponsors: MongoDB: Tired of database limitations and architectures that break when you scale? MongoDB is the database built for developers, by developers—ACID compliant, enterprise-ready, and fluent in AI—so you can start building faster at https://mongodb.com/build Serval: Serval uses AI-powered automations to cut IT help desk tickets by more than 50%, freeing your team from repetitive tasks like password resets and onboarding. Book your free pilot and guarantee 50% help desk automation by week four at https://serval.com/cognitive MATS: MATS is a fully funded 12-week research program pairing rising talent with top mentors in AI alignment, interpretability, security, and governance. Apply for the next cohort at https://matsprogram.org/s26-tcr Tasklet: Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai CHAPTERS: (00:00) About the Episode (03:02) Snowflake 101 and AI (09:25) Text-to-SQL and semantics (19:10) RAG, embeddings and models (Part 1) (19:17) Sponsors: MongoDB | Serval (21:02) RAG, embeddings and models (Part 2) (32:23) Bringing models to data (Part 1) (32:29) Sponsors: MATS | Tasklet (35:29) Bringing models to data (Part 2) (51:14) Designing enterprise AI agents (58:35) Trust, governance and guardrails (01:07:14) Agents and future work (01:15:33) Platforms, competition and value (01:26:04) Enterprise models and outlook (01:40:00) Outro PRODUCED BY: https://aipodcast.ing

Low effort cybercrime continues to dominate the threat landscape as attackers rely on misconfigurations, exposed databases, stolen credentials, and extortion tactics—not advanced exploits—to cause real damage. In this episode of Reimagining Cyber, cyber expert Tyler Moffitt breaks down recent stories including ShinyHunters extortion of Pornhub user activitydata and widespread MongoDB database exposure to explain why fundamentals like asset visibility, identity controls, and incident readiness matter more than ever in 2026.As featured on Million Podcasts' Best 100 Cybersecurity Podcasts Top 50 Chief Information Security Officer CISO Podcasts Top 70 Security Hacking Podcasts This list is the most comprehensive ranking of Cyber Security Podcasts online and we are honoured to feature amongst the best! Follow or subscribe to the show on your preferred podcast platform.Share the show with others in the cybersecurity world.Get in touch via reimaginingcyber@gmail.com

Your cloud SSD is sitting there, bored, and it would like a job. Today we're putting it to work with DiskCache, a simple, practical cache built on SQLite that can speed things up without spinning up Redis or extra services. Once you start to see what it can do, a universe of possibilities opens up. We're joined by Vincent Warmerdam to dive into DiskCache. Episode sponsors Talk Python Courses Python in Production Links from the show diskcache docs: grantjenks.com LLM Building Blocks for Python course: training.talkpython.fm JSONDisk: grantjenks.com Git Code Archaeology Charts: koaning.github.io Talk Python Cache Admin UI: blobs.talkpython.fm Litestream SQLite streaming: litestream.io Plash hosting: pla.sh Watch this episode on YouTube: youtube.com Episode #534 deep-dive: talkpython.fm/534 Episode transcripts: talkpython.fm Theme Song: Developer Rap

In this episode of Cybersecurity Today, brought to you by Meter, we review key events and stories from the past few weeks. Join host Jim along with experts Tammy Harper from Flair, Laura Payne from White Tuque, and David Shipley from Beauceron Security as they discuss major cybersecurity events that unfolded over the holidays, including the MongoDB vulnerability 'Mongo Bleed', the compromises at Rainbow Six Siege, and the ethical implications of hacktivism. The panel also explores the complexities of AI in cybersecurity, the vulnerability of critical infrastructure, and the dichotomy between ethical hacking and cybercrime in the industry. As always, we emphasize the intersection of cybersecurity with people, processes, and our daily lives. Cybersecurity Today would like to thank Meter for their support in bringing you this podcast. Meter delivers a complete networking stack, wired, wireless and cellular in one integrated solution that's built for performance and scale. You can find them at Meter.com/cst 00:00 Introduction and Sponsor Message 00:20 Panel Introduction and Holiday Recap 02:26 MongoDB Vulnerability: Mongo Bleed 05:15 AI and Responsible Disclosure 16:20 Gaming Security: Rainbow Six Siege Hack 20:13 Video Games and Malware Risks 24:54 Fake Video Propaganda and Infrastructure Attacks 25:48 The Dilemma of Cybersecurity Censorship 26:34 Deepfakes and Cognitive Warfare 27:37 Cyber Operations and Infrastructure Vulnerability 34:42 The Role of Private Companies in Cyber Conflicts 36:19 Internal Threats in Cybersecurity 43:20 Hacktivism: Ethics and Boundaries 49:03 Conclusion and Final Thoughts

In this AMA episode, Nathan gives an update on his son Ernie's cancer treatment and how frontier AI models are helping him navigate complex medical decisions. PSA for AI builders: Interested in alignment, governance, or AI safety? Learn more about the MATS Summer 2026 Fellowship and submit your name to be notified when applications open: https://matsprogram.org/s26-tcr. He reflects on whether Claude Opus 4.5 and Claude Code amount to AGI-level coding, sharing stories of hospital vibe coding apps for his family. You'll hear his framework for getting real value from Gemini 3, Claude, and GPT 5.2 Pro, plus his take on AI bubbles, Chinese models, chip controls, and who the true live players are in today's AI race. Sponsors: MongoDB: Tired of database limitations and architectures that break when you scale? MongoDB is the database built for developers, by developers—ACID compliant, enterprise-ready, and fluent in AI—so you can start building faster at https://mongodb.com/build Framer: Framer is an enterprise-grade website builder that lets business teams design, launch, and optimize their.com with AI-powered wireframing, real-time collaboration, and built-in analytics. Start building for free and get 30% off a Framer Pro annual plan at https://framer.com/cognitive Tasklet: Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai CHAPTERS: (00:00) AMA intro format (00:22) Ernie health update (09:24) Claude 4.5 question (Part 1) (09:29) Sponsors: MongoDB | Framer (11:21) Claude 4.5 question (Part 2) (13:21) Using AI for cancer (19:48) AI value and skill (22:10) Holiday coding projects (Part 1) (22:15) Sponsor: Tasklet (23:27) Holiday coding projects (Part 2) (28:01) Claude code workflow (32:03) Is Claude 4.5 AGI (36:04) AI bubble or not (41:22) VC froth examples (46:09) Chinese models comparison (55:29) H200 exports to China (01:03:40) Google DeepMind strengths (01:11:55) OpenAI strategy outlook (01:22:51) Anthropic culture and strategy (01:36:17) XAI promise and risks (01:48:20) Meta and Microsoft (01:52:29) Part two preview (01:53:39) Outro PRODUCED BY: https://aipodcast.ing SOCIAL LINKS: Website: https://www.cognitiverevolution.ai Twitter (Podcast): https://x.com/cogrev_podcast Twitter (Nathan): https://x.com/labenz LinkedIn: https://linkedin.com/in/nathanlabenz/ Youtube: https://youtube.com/@CognitiveRevolutionPodcast Apple: https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431 Spotify: https://open.spotify.com/show/6yHyok3M3BjqzR0VB5MSyk

Patrick McKenzie (@patio11) reads his latest Bits about Money essay explaining why he “loves Regulation E more than any rational person does.” He explains how Reg E created a privately-administered legal system processing over 100 million complaints annually—dwarfing the formal U.S. court system—and why banks are now trying to avoid these obligations for Zelle's nine figure fraud problem.–Full transcript available here: www.complexsystemspodcast.com/the-magic-spell-reg-e/– Sponsors: MongoDB & FramerTired of database limitations and architectures that break when you scale? MongoDB is the database built for developers, by developers: ACID compliant, Enterprise-ready, and fluent in AI. Start building faster at mongodb.com/build Building and maintaining marketing websites shouldn't slow down your engineers. Framer gives design and marketing teams an all-in-one platform to ship landing pages, microsites, or full site redesigns instantly—without engineering bottlenecks. Get 30% off Framer Pro at framer.com/complexsystems.–Links:Bits about Money,  One Regulation E, Two Very Different RegimesFull version of "Doesn't Matter, That's Reg E": https://suno.com/song/173bbd67-92f7-4868-930f-efeca4b373c0–Timestamps:(00:00) Introduction(02:46) These newfangled computers might steal our money(12:45) The contractual liability waterfall in card payments(20:35) Sponsors: MongoDB and Framer(22:23) The contractual liability waterfall in card payments (continued)(23:47) Enter Zelle(25:46) Zelle is an enormous fraud target(32:23) Banks may attempt to extend the Zelle precedent(35:02) Reg E encompasses almost every technology which exists and many which don't yet

Radar processes billions of location events daily, powering geofencing and location APIs for companies like Uber, Lyft, and thousands of other apps. When their existing infrastructure started hitting performance and cost limits, they built HorizonDB, a specialized database which replaced both Elasticsearch and MongoDB with a custom single binary written in Rust and backed by RocksDB.In this episode, we dive deep into the technical journey from prototype to production. We talk about RocksDB internals, finite-state transducers, the intricacies of geospatial indexing with Hilbert curves, and why Rust's type system and performance characteristics made it the perfect choice for rewriting critical infrastructure that processes location data at massive scale.

Peter Zairsev (@PeterZaitsev, Founder of @Percona) talks about the history of OSS databases, and how AI is reshaping the demands on modern databases. SHOW: 991SHOW TRANSCRIPT: The Cloudcast #991 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS" SHOW NOTES:Percona websiteTopic 1 - Welcome to the show, Peter. Give everyone a brief introduction, and we'll also dig into the details of Percona after that.Topic 2 - Percona is basically a household name in our space. Part of that is the excellent tech, and part of that is the longevity. Tell everyone the origin story of Percona.Topic 3 - How have OSS databases evolved? Going back 20 years is a bit far, but what recent trends stand out? How have cloud (i.e. the hyperscalers) and SaaS in particular changed this landscape Topic 4 - Percona plays in the same space, and with, MySQL, MongoDB, PostgreSQL. If you don't mind, help everyone connect the dots there and why that matters.Topic 5 - What are the typical business cases and implementations you are seeing today? What are organizations trying to solve for the most?Topic 6 - How has AI and the rise of embeddings and vector databases impacted the OSS space? What are your thoughts here? Is this complementary/competitive/both?Topic 7 - What do you wish people knew more about Percona?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

Today on Talk Python, the creators behind FastAPI, Flask, Django, Quart, and Litestar get practical about running apps based on their framework in production. Deployment patterns, async gotchas, servers, scaling, and the stuff you only learn at 2 a.m. when the pager goes off. For Django, we have Carlton Gibson and Jeff Triplet. For Flask, we have David Lord and Phil Jones, and on team Litestar we have Janek Nouvertné and Cody Fincher, and finally Sebastián Ramírez from FastAPI is here. Let's jump in. Episode sponsors Talk Python Courses Python in Production Links from the show Carlton Gibson - Django: github.com Sebastian Ramirez - FastAPI: github.com David Lord - Flask: davidism.com Phil Jones - Flask and Quartz(async): pgjones.dev Yanik Nouvertne - LiteStar: github.com Cody Fincher - LiteStar: github.com Jeff Triplett - Django: jefftriplett.com Django: www.djangoproject.com Flask: flask.palletsprojects.com Quart: quart.palletsprojects.com Litestar: litestar.dev FastAPI: fastapi.tiangolo.com Coolify: coolify.io ASGI: asgi.readthedocs.io WSGI (PEP 3333): peps.python.org Granian: github.com Hypercorn: github.com uvicorn: uvicorn.dev Gunicorn: gunicorn.org Hypercorn: hypercorn.readthedocs.io Daphne: github.com Nginx: nginx.org Docker: www.docker.com Kubernetes: kubernetes.io PostgreSQL: www.postgresql.org SQLite: www.sqlite.org Celery: docs.celeryq.dev SQLAlchemy: www.sqlalchemy.org Django REST framework: www.django-rest-framework.org Jinja: jinja.palletsprojects.com Click: click.palletsprojects.com HTMX: htmx.org Server-Sent Events (SSE): developer.mozilla.org WebSockets (RFC 6455): www.rfc-editor.org HTTP/2 (RFC 9113): www.rfc-editor.org HTTP/3 (RFC 9114): www.rfc-editor.org uv: docs.astral.sh Amazon Web Services (AWS): aws.amazon.com Microsoft Azure: azure.microsoft.com Google Cloud Run: cloud.google.com Amazon ECS: aws.amazon.com AlloyDB for PostgreSQL: cloud.google.com Fly.io: fly.io Render: render.com Cloudflare: www.cloudflare.com Fastly: www.fastly.com Watch this episode on YouTube: youtube.com Episode #533 deep-dive: talkpython.fm/533 Episode transcripts: talkpython.fm Theme Song: Developer Rap

MongoDB warns admins to patch severe vulnerability immediately

(Presented by Material Security (https://material.security): We protect your company's most valuable materials -- the emails, files, and accounts that live in your Google Workspace and Microsoft 365 cloud offices.) Three Buddy Problem - Episode 79: We cover MongoBleed (CVE‑2025‑14847), exposed MongoDB deployments, and the sad realization that zero-day attacks are a normal, everyday occurrence. Plus, AI's expanding role and misuse across products and workflows, proximity attacks against Bluetooth audio devices, spyware sanctions de-listings, and ransomware economics. In a special mailbag segment, we give our book recommendations and respond to common questions from the listeners. Cast: Juan Andres Guerrero-Saade (https://twitter.com/juanandres_gs), Ryan Naraine (https://twitter.com/ryanaraine) and Costin Raiu (https://twitter.com/craiu).

Python in 2025 is in a delightfully refreshing place: the GIL's days are numbered, packaging is getting sharper tools, and the type checkers are multiplying like gremlins snacking after midnight. On this episode, we have an amazing panel to give us a range of perspectives on what matter in 2025 in Python. We have Barry Warsaw, Brett Cannon, Gregory Kapfhammer, Jodie Burchell, Reuven Lerner, and Thomas Wouters on to give us their thoughts. Episode sponsors Seer: AI Debugging, Code TALKPYTHON Talk Python Courses Links from the show Python Software Foundation (PSF): www.python.org PEP 810: Explicit lazy imports: peps.python.org PEP 779: Free-threaded Python is officially supported: peps.python.org PEP 723: Inline script metadata: peps.python.org PyCharm: www.jetbrains.com JetBrains: www.jetbrains.com Visual Studio Code: code.visualstudio.com pandas: pandas.pydata.org PydanticAI: ai.pydantic.dev OpenAI API docs: platform.openai.com uv: docs.astral.sh Hatch: github.com PDM: pdm-project.org Poetry: python-poetry.org Project Jupyter: jupyter.org JupyterLite: jupyterlite.readthedocs.io PEP 690: Lazy Imports: peps.python.org PyTorch: pytorch.org Python concurrent.futures: docs.python.org Python Package Index (PyPI): pypi.org EuroPython: tickets.europython.eu TensorFlow: www.tensorflow.org Keras: keras.io PyCon US: us.pycon.org NumFOCUS: numfocus.org Python discussion forum (discuss.python.org): discuss.python.org Language Server Protocol: microsoft.github.io mypy: mypy-lang.org Pyright: github.com Pylance: marketplace.visualstudio.com Pyrefly: github.com ty: github.com Zuban: docs.zubanls.com Jedi: jedi.readthedocs.io GitHub: github.com PyOhio: www.pyohio.org Watch this episode on YouTube: youtube.com Episode #532 deep-dive: talkpython.fm/532 Episode transcripts: talkpython.fm Theme Song: Developer Rap

Cybersecurity Today: MongoDB Vulnerability 'Mongo Bleed' Exploited, Rainbow Six Siege Hacked, Trust Wallet Compromise, and GrubHub Crypto Scams In this episode of Cybersecurity Today, David Shipley covers significant cybersecurity incidents that occurred over the holiday period. The major topics include the 'Mongo Bleed' vulnerability in MongoDB that was disclosed and then publicly exploited on Christmas Day, leading to potential data leaks. Ubisoft's Rainbow Six Siege faced a breach enabling attackers to manipulate in-game functions and distribute billions worth of in-game currency for free. Trust Wallet's browser extension was compromised, resulting in a loss of approximately $7 million in cryptocurrencies. Finally, a phishing scam using a legitimate GrubHub subdomain to promise fake Bitcoin rewards was also discussed. Immediate actions and preventive updates were highlighted for all these incidents. 00:00 Introduction and Sponsor Message 00:48 Mongo Bleed Vulnerability Exploit 04:10 Rainbow Six Siege Breach 08:13 Trust Wallet Extension Hack 10:30 GrubHub Bitcoin Scam 12:02 Conclusion and Sign-Off

MongoDB Unauthenticated Attacker Sensitive Memory Leak CVE-2025-14847 Over the Christmas holiday, MongoDB patched a sensitive memory leak vulnerability that is now actively being exploited https://www.mongodb.com/community/forums/t/important-mongodb-patch-available/332977 https://github.com/mongodb/mongo/commit/505b660a14698bd2b5233bd94da3917b585c5728 https://www.ox.security/blog/attackers-could-exploit-zlib-to-exfiltrate-data-cve-2025-14847/ https://github.com/joe-desimone/mongobleed/

What happens when AI becomes your most influential referrer?As consumers turn to ChatGPT for answers, James Cadwallader and his team at Profound help brands like Eight Sleep and MongoDB gain visibility and leverage inside AI models.On this episode of Grit, he explains why brand narrative has shifted away from content, and why Profound is scaling globally ahead of traditional SaaS timelines.Guest: James Cadwallader, co-founder and CEO of Profound and Ilya Fushman, partner at Kleiner PerkinsConnect with James CadwalladerX: https://x.com/thejamescad?lang=enLinkedIn: https://www.linkedin.com/in/jsca/​Connect with Ilya FushmanX: https://x.com/ilyafLinkedIn: https://www.linkedin.com/in/ilyafushman/Connect with JoubinX: https://x.com/JoubinmirLinkedIn: https://www.linkedin.com/in/joubin-mirzadegan-66186854/Email: grit@kleinerperkins.comFollow on LinkedIn:https://www.linkedin.com/company/kpgritFollow on X:https://x.com/KPGrit​Learn more about Kleiner Perkins: https://www.kleinerperkins.com/

Have you ever thought about getting your small product into production, but are worried about the cost of the big cloud providers? Or maybe you think your current cloud service is over-architected and costing you too much? Well, in this episode, we interview Michael Kennedy, author of "Talk Python in Production," a new book that guides you through deploying web apps at scale with right-sized engineering. Episode sponsors Seer: AI Debugging, Code TALKPYTHON Agntcy Talk Python Courses Links from the show Christopher Trudeau - guest host: www.linkedin.com Michael's personal site: mkennedy.codes Talk Python in Production Book: talkpython.fm glances: github.com btop: github.com Uptimekuma: uptimekuma.org Coolify: coolify.io Talk Python Blog: talkpython.fm Hetzner (€20 credit with link): hetzner.cloud OpalStack: www.opalstack.com Bunny.net CDN: bunny.net Galleries from the book: github.com Pandoc: pandoc.org Docker: www.docker.com Watch this episode on YouTube: youtube.com Episode #531 deep-dive: talkpython.fm/531 Episode transcripts: talkpython.fm Theme Song: Developer Rap

16TB MongoDB database exposes nearly 4.3 billion professional records Apple posts updates after discovery of WebKit flaws Coupang data breach traced to ex-employee Huge thanks to our sponsor, Adaptive Security This episode is brought to you by Adaptive Security, the first cybersecurity company backed by OpenAI. Deepfakes aren't science fiction anymore; they're a daily threat. Quick tip: if your voicemail greeting is your real voice, switch it to the default robot voice. A few seconds of audio can be enough to clone you. Adaptive helps teams spot and stop these AI-powered social engineering attacks. Learn more at adaptivesecurity.com. Find the stories behind the headlines at CISOseries.com.    

For years, building interactive widgets in Python notebooks meant wrestling with toolchains, platform quirks, and a mountain of JavaScript machinery. Most developers took one look and backed away slowly. Trevor Manz decided that barrier did not need to exist. His idea was simple: give Python users just enough JavaScript to unlock the web's interactivity, without dragging along the rest of the web ecosystem. That idea became anywidget, and it is quickly becoming the quiet connective tissue of modern interactive computing. Today we dig into how it works, why it has taken off, and how it might change the way we explore data. Episode sponsors Seer: AI Debugging, Code TALKPYTHON PyCharm, code STRONGER PYTHON Talk Python Courses Links from the show Trevor on GitHub: github.com anywidget GitHub: github.com Trevor's SciPy 2024 Talk: www.youtube.com Marimo GitHub: github.com Myst (Markdown docs): mystmd.org Altair: altair-viz.github.io DuckDB: duckdb.org Mosaic: uwdata.github.io ipywidgets: ipywidgets.readthedocs.io Tension between Web and Data Sci Graphic: blobs.talkpython.fm Quak: github.com Walk through building a widget: anywidget.dev Widget Gallery: anywidget.dev Video: How do I anywidget?: www.youtube.com PyCharm + PSF Fundraiser: pycharm-psf-2025 code STRONGER PYTHON Watch this episode on YouTube: youtube.com Episode #530 deep-dive: talkpython.fm/530 Episode transcripts: talkpython.fm Theme Song: Developer Rap

Frank on LinkedIn (https://www.linkedin.com/in/franckpachot/) MongoDB (https://www.mongodb.com/) Alice for Snowflake (https://alice.dev/alice-snowflake/) Mike on X (https://x.com/dominucco) Coder on X (https://x.com/coderradioshow) Show Discord (https://discord.gg/k8e7gKUpEp) Alice & Custom Dev (https://alice.dev) Mike's Recent Omakub Blog Post (https://dominickm.com/omakhub-review/)

Jake and Michael discuss all the latest Laravel releases, tutorials, and happenings in the community.This episode is sponsored by CodeRabbit; Smart CLI Reviews act as quality gates for Codex, Claude, Gemini, and you.Show linksBlade @hasStack Directive Added in Laravel 12.39 Time Interval Helpers in Laravel 12.40 Pause a Queue for a Given Number of Seconds in Laravel 12 PHP 8.5 is released with the pipe operator, URI extension, new array functions, and more Introducing Mailviews Early Access Prevent Disposable Email Registrations with Email Utilities for Laravel A DynamoDB Driver for the Laravel Auditing Package Build Production-ready APIs in Laravel with Tyro TutorialsSeparate your Cloudflare page cache with a middleware group PostgreSQL vs. MongoDB for Laravel: Choosing the Right Database Modernizing Code with Rector - Laravel In Practice EP12 Static Analysis Secrets - Laravel In Practice EP13 

A lot of people building software today never took the traditional CS path. They arrived through curiosity, a job that needed automating, or a late-night itch to make something work. This week, David Kopec joins me to talk about rebuilding computer science for exactly those folks, the ones who learned to program first and are now ready to understand the deeper ideas that power the tools they use every day. Episode sponsors Sentry Error Monitoring, Code TALKPYTHON NordStellar Talk Python Courses Links from the show David Kopec: davekopec.com Classic Computer Science Book: amazon.com Computer Science from Scratch Book: computersciencefromscratch.com Computer Science from Scratch at NoStartch (CSFS30 for 30% off): nostarch.com Watch this episode on YouTube: youtube.com Episode #529 deep-dive: talkpython.fm/529 Episode transcripts: talkpython.fm Theme Song: Developer Rap

What if the only thing standing between you and a job offer you actually want is a strategy you haven't heard yet? In this episode, I'm breaking down the real story behind how Amy went from a brutal late-stage rejection at MongoDB to signing a $150K base offer, PLUS negotiating an extra 10K just weeks later.You'll hear the exact steps she took to rebuild momentum fast, the cold-outreach strategy that had hiring managers responding within 24 hours, the interview storytelling shift that instantly made her stand out from “qualified” candidates, and the pipeline and negotiation moves that turned one solid offer into a life-changing one. By the end, you'll walk away knowing exactly how to regain control of your job search, rebuild confidence after rejection, and create the kind of momentum that makes opportunities come to YOU. If you want a job search process that actually moves you forward without burning yourself out, hit play and let's dive in.0:44 – Why Late-Stage Interview Rejection Doesn't Mean Starting Over4:21 – How Strategic Cold Outreach Can Unlock Interviews at Top Companies8:25 – Why Your Interview Stories Need More “How” (Not Just Results) to Stand Out12:15 – The Secret to Keeping Momentum: Juggling Multiple Opportunities, Even in Final Rounds 13:40 – Why You Should Always Negotiate Your Offer, Even If It Looks Great15:44 – The Four Steps to Rebuild Job Search Momentum After Rejection

In der heutigen Folge sprechen die Finanzjournalisten Anja Ettel und Holger Zschäpitz über starke Zahlen von Crowdstrike, Kurssprung bei Bayer und eine wilde Wende bei Bitcoin. Außerdem geht es um Ether, Intel, xLight, Meta, Boeing, Airbus, Marvell, Celestial AI, Nvidia, Broadcom, GitLab, Adobe, Workday, DocuSign, Apple, Microsoft, MongoDB, Credo Technology, Wacker Neuson, Doosan Bobcat, Hochtief, Hypoport, Hugo Boss, Rheinmetall, Nvidia, Lockheed Martin, Hensoldt, Renk, TKMS, VW, BMW, Mercedes-Benz, Continental, Porsche, Schaeffler, Daimler Truck, Bank of America, KeyCorp, PNC Financial Services, US-Bancorp, Truist Financial, Aon, Marsh & McLennan, Willis Towers Watson, Accenture, Cognizant, EPAM Systems, IBM, Twilio, DXC Technology, SAIC, Guidewire Software, Manhattan Associates, Pegasystems, Tyler Technologies, Labcorp, IQVIA, Certara und Siemens Energy. Die aktuelle "Alles auf Aktien"-Umfrage findet Ihr unter: https://www.umfrageonline.com/c/mh9uebwm Wir freuen uns an Feedback über aaa@welt.de. Noch mehr "Alles auf Aktien" findet Ihr bei WELTplus und Apple Podcasts – inklusive aller Artikel der Hosts und AAA-Newsletter.[ Hier bei WELT.](https://www.welt.de/podcasts/alles-auf-aktien/plus247399208/Boersen-Podcast-AAA-Bonus-Folgen-Jede-Woche-noch-mehr-Antworten-auf-Eure-Boersen-Fragen.html.) [Hier] (https://open.spotify.com/playlist/6zxjyJpTMunyYCY6F7vHK1?si=8f6cTnkEQnmSrlMU8Vo6uQ) findest Du die Samstagsfolgen Klassiker-Playlist auf Spotify! Disclaimer: Die im Podcast besprochenen Aktien und Fonds stellen keine spezifischen Kauf- oder Anlage-Empfehlungen dar. Die Moderatoren und der Verlag haften nicht für etwaige Verluste, die aufgrund der Umsetzung der Gedanken oder Ideen entstehen. Hörtipps: Für alle, die noch mehr wissen wollen: Holger Zschäpitz können Sie jede Woche im Finanz- und Wirtschaftspodcast "Deffner&Zschäpitz" hören. +++ Werbung +++ Du möchtest mehr über unsere Werbepartner erfahren? [**Hier findest du alle Infos & Rabatte!**](https://linktr.ee/alles_auf_aktien) Impressum: https://www.welt.de/services/article7893735/Impressum.html Datenschutz: https://www.welt.de/services/article157550705/Datenschutzerklaerung-WELT-DIGITAL.html

Unser Partner Scalable Capital ist jetzt Bank und bietet euch dadurch noch bessere Konditionen. Unter anderem mit einem neuen Kreditangebot. Alle Infos dazu gibt's hier: https://de.scalable.capital/credit. Das Weiße Haus stellt sich hinter Bayer. Aktie hoch. Doosan Bobcat will Wacker Neuson. Aktie hoch. Boeing will Cash verdienen, MongoDB wächst stark. Aktien hoch. Nestlé könnte Blue Bottle verkaufen. ISS hat Problem in Hongkong. Dell spendet Milliarden. Marvell kauft Celestial. American Eagle Outfitters boomt. Action ist eine der krassesten Firmen, die in den letzten Jahren in Europa entstanden ist. Das Modell ist zwar langweilig, aber funktioniert. Die Börse wird grade vorsichtiger. Eine Chance, den Dip zu kaufen? 3i (WKN: A0MU9Q). Diesen Podcast vom 03.12.2025, 3:00 Uhr stellt dir die Podstars GmbH (Noah Leidinger) zur Verfügung.

Plus: Shares of MongoDB and Credo Technology jump, driven by AI. And Ford shares fall amid a slowdown in EV sales. Julie Chang hosts. Sign up for WSJ's free What's News newsletter. An artificial-intelligence tool assisted in the making of this episode by creating summaries that were based on Wall Street Journal reporting and reviewed and adapted by an editor. Learn more about your ad choices. Visit megaphone.fm/adchoices

Episode Highlights[00:00:48] What Makes Software MaintainableDon explains why unnecessary complexity is the biggest barrier to maintainability, drawing on themes from A Philosophy of Software Design.[00:03:14] The Cost of Clever AbstractionsA real story from a Node.js API shows how an unused abstraction layer around MongoDB made everything harder without delivering value.[00:04:00] Shaping Teams and Developer ToolsDon describes the structure of the Search Craft engineering team and how the product grew out of recurring pain points in client projects.[00:06:36] Reducing Complexity Through SDK and Infra DesignWhy Search Craft intentionally limits configuration to keep setup fast and predictable.[00:08:33] Lessons From ConsultingRobby and Don compare consulting and product work, including how each environment shapes developers differently.[00:15:34] Inherited Software and Abandoned DependenciesDon shares the problems that crop up when community packages fall behind—especially in ecosystems like React Native.[00:18:00] Evaluating Third-Party LibrariesSignals Don looks for before adopting a dependency: adoption, update cadence, issue activity, and whether the library is “done.”[00:19:40] Designing Code That Remains UnderstandableWhy clear project structure and idiomatic naming matter more than cleverness.[00:20:29] RFCs as a Cultural AnchorHow Don's team uses RFCs to align on significant changes and avoid decision churn.[00:23:00] Documentation That Adds ContextDocumentation should explain why, not echo code. Don walks through how his team approaches this.[00:24:11] Type Systems and MaintainabilityHow Don's journey from PHP and JavaScript to TypeScript and Rust changed his approach to structure and communication.[00:27:05] Testing With TypesStable type contracts make tests cleaner and less ambiguous.[00:27:45] Building Trust in AI SystemsDon discusses repeatability, hallucinations, and why tools like MCP matter for grounding LLM behavior.[00:29:28] AI in Developer ToolsSearch Craft's MCP server lets developers talk to the platform conversationally instead of hunting through docs.[00:33:21] Improving Legacy Systems SlowlyThe Strangler pattern as a practical way to replace old systems one endpoint at a time.[00:34:11] Deep Work and Reducing Reactive NoiseDon encourages developers to carve out time for uninterrupted thinking rather than bouncing between notifications.[00:36:09] Measuring ProgressBuild times, test speeds, and coverage provide signals teams can use to track actual improvement.[00:38:24] Changing Opinions Over a CareerWhy Don eventually embraced TypeScript after originally writing it off.[00:39:15] Industry Trends and Repeating CyclesSPAs, server rendering, and the familiar pendulum swing in web architecture.[00:41:26] Experimentation and Team AutonomyHow POCs and side projects surface organically within Don's team.[00:44:42] Growing Skills Through Intentional GoalsSetting learning targets in 1:1s to support long-term developer growth.[00:47:19] Where to Find DonLinkedIn, Blue Sky, and his site: donmckinnon.dev.Resources MentionedA Philosophy of Software Design by John OusterhoutJohn Ousterhout's Maintainable.fm Interview (Episode 131)Search CraftElasticAlgoliaWordPress Plugin DirectoryRequest for Comments (RFC)Strangler Fig PatternC2 WikiModel Context Protocol (MCP)Glam AIAubrey/Maturin Series by Patrick O'BrianMaster and Commanderdonmckinnon.devThanks to Our Sponsor!Turn hours of debugging into just minutes! AppSignal is a performance monitoring and error-tracking tool designed for Ruby, Elixir, Python, Node.js, Javascript, and other frameworks.It offers six powerful features with one simple interface, providing developers with real-time insights into the performance and health of web applications.Keep your coding cool and error-free, one line at a time! Use the code maintainable to get a 10% discount for your first year. Check them out! Subscribe to Maintainable on:Apple PodcastsSpotifyOr search "Maintainable" wherever you stream your podcasts.Keep up to date with the Maintainable Podcast by joining the newsletter.

"Very positive growth momentum" helps shape MongoDB's (MDB) growth story, says Luke Yang, though he has a price target for the stock significantly below the current value. He says MongoDB needs to define itself against other growing companies like Snowflake (SNOW) to succeed long-term. Steven Koenig also has a price target below current value for similar reasons. He believes the company needs to use its core business growth by pairing it with A.I. to accelerate future success. ======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

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In der heutigen Folge sprechen die Finanzjournalisten Anja Ettel und Holger Zschäpitz über drohenden Ärger für Moderna, einen Kurskracher bei MongoDB und fiese Japan-Vibes. Außerdem geht es um Moderna, BioNTech, Novavax, Pfizer, GSK, MongoDB, Cleanspark, Coinbase, Robinhood, Strategy, Bitcoin, Ether, Bayer, Synopsis, Nvidia und The Magnum Ice Cream Company. Die aktuelle "Alles auf Aktien"-Umfrage findet Ihr unter: https://www.umfrageonline.com/c/mh9uebwm Wir freuen uns an Feedback über aaa@welt.de. Noch mehr "Alles auf Aktien" findet Ihr bei WELTplus und Apple Podcasts – inklusive aller Artikel der Hosts und AAA-Newsletter.[ Hier bei WELT.](https://www.welt.de/podcasts/alles-auf-aktien/plus247399208/Boersen-Podcast-AAA-Bonus-Folgen-Jede-Woche-noch-mehr-Antworten-auf-Eure-Boersen-Fragen.html.) [Hier] (https://open.spotify.com/playlist/6zxjyJpTMunyYCY6F7vHK1?si=8f6cTnkEQnmSrlMU8Vo6uQ) findest Du die Samstagsfolgen Klassiker-Playlist auf Spotify! Disclaimer: Die im Podcast besprochenen Aktien und Fonds stellen keine spezifischen Kauf- oder Anlage-Empfehlungen dar. Die Moderatoren und der Verlag haften nicht für etwaige Verluste, die aufgrund der Umsetzung der Gedanken oder Ideen entstehen. Hörtipps: Für alle, die noch mehr wissen wollen: Holger Zschäpitz können Sie jede Woche im Finanz- und Wirtschaftspodcast "Deffner&Zschäpitz" hören. +++ Werbung +++ Du möchtest mehr über unsere Werbepartner erfahren? [**Hier findest du alle Infos & Rabatte!**](https://linktr.ee/alles_auf_aktien) Impressum: https://www.welt.de/services/article7893735/Impressum.html Datenschutz: https://www.welt.de/services/article157550705/Datenschutzerklaerung-WELT-DIGITAL.html

Kubernetes has relied on role-based access control (RBAC) since 2017, but its simplicity limits what developers can express, said Micah Hausler, principal engineer at AWS, on The New Stack Makers. RBAC only allows actions; it can't enforce conditions, denials, or attribute-based rules. Seeking a more expressive authorization model for Kubernetes, Hausler explored Cedar, an authorization engine and policy language created at AWS in 2022 and later open-sourced. Although not designed specifically for Kubernetes, Cedar proved capable of modeling its authorization needs in a concise, readable way. Hausler highlighted Cedar's clarity—nontechnical users can often understand policies at a glance—as well as its schema validation, autocomplete support, and formal verification, which ensures policies are correct and produce only allow or deny outcomes.Now onboarding to the CNCF sandbox, Cedar is used by companies like Cloudflare and MongoDB and offers language-agnostic tooling, including a Go implementation donated by StrongDM. The project is actively seeking contributors, especially to expand bindings for languages like TypeScript, JavaScript, and Python.Learn more from The New Stack about Cedar:Ceph: 20 Years of Cutting-Edge Storage at the Edge The Cedar Programming Language: Authorization SimplifiedJoin our community of newsletter subscribers to stay on top of the news and at the top of your game.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Apple trennt sich von KI-Chef John Giannandrea und holt einen Microsoft-Researcher. Amazon testet 30-Minuten-Lieferung in den USA – die Gorillas sind zurück. Instagram-Chef Adam Mosseri ordnet fünf Tage Büropflicht an. OpenAI investiert in Thrive Holdings und schickt Engineers mit – ein Kreislaufgeschäft oder clevere Strategie? Black Forest Labs wird mit $3,25 Mrd. zum wertvollsten deutschen KI-Startup. Sam Altman ruft nach Googles Gemini-Erfolg "Code Red" aus und verschiebt das geplante Werbemodell. US-Startups wechseln zunehmend zu chinesischen Open-Source-Modellen. MongoDB liefert starke Earnings. Frank Thelen crasht ein Schneemobil und fordert Dialog mit der AfD. Unterstütze unseren Podcast und entdecke die Angebote unserer Werbepartner auf ⁠⁠⁠⁠⁠doppelgaenger.io/werbung⁠⁠⁠⁠⁠. Vielen Dank!  Philipp Glöckler und Philipp Klöckner sprechen heute über: (00:00:00) Intro (00:01:56) Apple feuert KI-Chef, holt Microsoft-Researcher (00:05:33) Amazon startet 30-Minuten-Lieferung in USA (00:11:04) Instagram: Fünf Tage zurück ins Büro (00:15:08) Pew Research: Social Media Nutzung in den USA (00:19:41) OpenAI investiert in Thrive Holdings (00:26:23) KI-Transformation: Warum sie oft scheitert (00:39:41) Black Forest Labs: $300M Finanzierung, $3,25B Bewertung (00:43:41) OpenAI plant Werbemodell (00:46:04) OpenAI Code Red nach Google Gemini Erfolg (00:50:23) US-Startups wechseln zu chinesischen Open-Source-Modellen (01:03:56) MongoDB Earnings (01:05:59) Frank Thelen: Schneemobil-Unfall & AfD-Dialog (01:18:03) David Sacks NYT-Profil & Interessenkonflikte (01:25:04) Richter auf US-Sanktionsliste verliert Kreditkarten (01:27:25) CryptoMixer Razzia (01:29:53) KI-Therapie-App Yara AI eingestellt Shownotes Apple KI-Chef John Giannandrea tritt zurück – macrumors.com Amazon testet 'Amazon Now' 30-Minuten-Lieferservice in Seattle und Philadelphia – geekwire.com Instagram return to office – sources.news Glöckler's OpenAI Bild LinkedIn OpenAI Thrive – nytimes.com OpenAI steigt beim eigenen Investor Thrive ein - "Kreislauf"-Deal – trendingtopics.eu Black Forrest Lab – linkedin.com Black Forrest Lab  – ft.com Leak bestätigt: OpenAI plant Werbung in ChatGPT – bleepingcomputer.com OpenAI Code Red – wsj.com Mehr von Silicon Valley baut auf kostenloser chinesischer KI auf. – nbcnews.com MongoDB-Aktie steigt um 15% nach Gewinn- und Umsatzschlag, starke Prognose – cnbc.com Pitch-Panne: Löwe beschädigt Garagentor mit Schneemobil von Tiroler Startup – brutkasten.com Frank Thelen: Dialog mit der AfD - "Familienunternehmer" rudern zurück – surplusmagazin.de David Sachs – nytimes.com Amazon und Paypal blockieren Richter in Europa – golem.de Schweizer und deutsche Behörden schließen cryptomixer.io im Rahmen von Geldwäsche-Bekämpfung – reuters.com Der Schöpfer einer KI-Therapie-App schließt sie aus Sicherheitsbedenken. – fortune.com

Stocks, crypto fall to start December as the risk-off trade continues. HSBC's Max Kettner breaks down the market action. T. Rowe Price's Tony Wang talks top tech stocks on the three-year anniversary of the AI bull market. Black Friday winners and losers with Goldman Sachs' Kate McShane. New MongoDB CEO CJ Desai on the company's latest quarter.   Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode, I'm talking with Vincent Warmerdam about treating LLMs as just another API in your Python app, with clear boundaries, small focused endpoints, and good monitoring. We'll dig into patterns for wrapping these calls, caching and inspecting responses, and deciding where an LLM API actually earns its keep in your architecture. Episode sponsors Seer: AI Debugging, Code TALKPYTHON NordStellar Talk Python Courses Links from the show Vincent on X: @fishnets88 Vincent on Mastodon: @koaning LLM Building Blocks for Python Co-urse: training.talkpython.fm Top Talk Python Episodes of 2024: talkpython.fm LLM Usage - Datasette: llm.datasette.io DiskCache - Disk Backed Cache (Documentation): grantjenks.com smartfunc - Turn docstrings into LLM-functions: github.com Ollama: ollama.com LM Studio - Local AI: lmstudio.ai marimo - A Next-Generation Python Notebook: marimo.io Pydantic: pydantic.dev Instructor - Complex Schemas & Validation (Python): python.useinstructor.com Diving into PydanticAI with marimo: youtube.com Cline - AI Coding Agent: cline.bot OpenRouter - The Unified Interface For LLMs: openrouter.ai Leafcloud: leaf.cloud OpenAI looks for its "Google Chrome" moment with new Atlas web browser: arstechnica.com Watch this episode on YouTube: youtube.com Episode #528 deep-dive: talkpython.fm/528 Episode transcripts: talkpython.fm Theme Song: Developer Rap

John McMahon is widely regarded as one of the greatest enterprise-software sales leaders of all time. He's the only person to have served as Chief Revenue Officer at five public software companies: PTC, GeoTel, Ariba, BladeLogic and BMC Software. He helped scale BladeLogic from a startup into a public company — ultimately leading to its ~$880M sale to BMC — and drove GeoTel into a multi-billion dollar acquisition. Today he sits on the boards of top names such as Snowflake and MongoDB, while also mentoring and influencing a who's-who of modern SaaS sales leaders. AGENDA: 03:33 The Art and Science of Sales: Insights from a Veteran 04:29 Adapting Sales Strategies in the Age of AI and PLG 07:47 The Ultimate Framework to do Deal Qualification 14:13 How to Drive Urgency and Maintain Sales Process 20:06 How to Hire the Best Sales Reps 25:11 Step-by-Step Guide to Training Sales Reps 45:22 The Mindset of the Best Sales Reps 54:55 Single Most Important Skill to Win in Sales  

MongoDB.local San Francisco is happening on January 15th. Learn more and register here → http://mdb.link/sf-dot-local At the Cerebral Valley AI Summit, we surveyed more than 300 founders and investors with one question:“Which billion-dollar AI startup would you short?” The answers were… blunt.In this episode, Eric, Max Child and James Wilsterman break down the most surprising picks, what they reveal about the state of AI in 2025, and the shifting mood inside the industry. We also revisit the biggest moments from the summit — from agentic AI to the sustainability of today's valuations.

AWS Morning Brief for the week of November 24th, with Corey Quinn. Links:Announcing agreement EventBridge notifications for AWS MarketplaceNetwork Load Balancers now support Weighted Target GroupsAWS NAT Gateway now supports regional availabilityAWS Secrets Manager announces managed external secretsAccelerate infrastructure development with AWS CloudFormation intelligent authoring in IDEsAWS Cost Optimization Hub introduces Cost Efficiency metric to measure and track cloud cost efficiencyAWS Lambda announces new tenant isolation mode to simplify building tenant-aware applicationsIntroducing 18-Month Forecasting and Explainable AI Insights in AWS Cost ExplorerSimplified developer access to AWS with ‘aws loginAmazon DynamoDB now supports multi-attribute composite keys in global secondary indexesSimplify access to external services using AWS IAM Outbound Identity FederationImprove API discoverability with the new Amazon API Gateway PortalAWS Step Functions enhances Local Testing with TestState APIAmazon CloudFront announces 3 new CloudFront Functions capabilitiesRecycle Bin adds support for Amazon EBS VolumesAnnouncing Amazon DocumentDB (with MongoDB compatibility) version 8.0AWS Lambda adds support for RustIntroducing Amazon MWAA ServerlessIntroducing flat-rate pricing plans with no overagesNew Amazon Bedrock service tiers help you match AI workload performance with costAmazon EC2 P6-B300 instances with NVIDIA Blackwell Ultra GPUs are now availableAmazon ECR introduces archive storage class for rarely accessed container imagesNew AWS Billing Transfer for centrally managing AWS billing and costs across multiple organizations

Dharshan Rangegowda, founder of ScaleGrid, left a decade-long engineering career at Microsoft to solve a painful database operations problem he had lived firsthand. After early missteps selling to enterprises, he shifted to helping developers manage MongoDB, Redis, and Postgres on the cloud, bootstrapping the business from scratch. ScaleGrid grew steadily through product depth, technical support, and Dharshan's mastery of SEO—becoming the top organic result for many key searches. The company expanded into multiple database engines, added a distributed engineering team, and reached 20 employees by 2021, serving both SMB developers and some enterprise teams.  Dharshan sold a majority stake to Spotlight Equity Partners during the pandemic after receiving an unsolicited offer, later stepping out of day-to-day operations while remaining on the board.  In this conversation, Dharshan shares hard-earned lessons about product-led growth, support as strategy, SEO as a long-game advantage, and how bootstrapped founders can build meaningful outcomes in massive markets.  Key Takeaways SEO Power: SEO remains a long-term growth engine for bootstrappers because big VC-backed companies rarely have the patience to compound it. Support as Strategy: Deep, responsive technical support became ScaleGrid's differentiator and directly informed product innovation and content. Start at the Edges: Enterprises won't buy from a one-person startup, but edge users with urgent problems will — and they become your early beachhead. Bootstrap Constraints: Founder over-frugality can limit growth; strategic delegation and early team building prevent burnout and plateauing. This Interview Is Perfect For Bootstrap SaaS founders Technical founders selling to developers Founders stuck in early traction or slow growth Anyone considering a PE exit or multi-year acquisition process Quote from Darshan Rangegowda, founder of ScaleGrid "You can't take random people and make them an entrepreneur. You have to want to be an entrepreneur and want to be on your own. You have to enjoy the freedom and the risk and the upside that comes with it and the unmitigated downside as well. You have to accept and be comfortable with it.  "You want to be on your own so you can try things. You are constantly looking at problems and new solutions. You want to be around people who like that sort of process: Here's a new problem and here's a new solution.  "But the most important thing you have to do as an entrepreneur is you have to add value to your customers. And most people forget that." Links Dharshan Rangegowda on LinkedIn ScaleGrid on LinkedIn ScaleGrid website Spotlight Equity Partners (acquirer) Allied Advisers (M&A advisor) AngelPad Accelerator Podcast Sponsor – Designli This podcast is sponsored by Designli, a digital product studio that helps entrepreneurs and startups turn their software ideas into reality. From strategy and design to full-scale development, Designli guides you through every step of building custom web and mobile apps. Learn more at designli.co/practical. The Practical Founders Podcast Tune into the Practical Founders Podcast for weekly in-depth interviews with founders who have built valuable software companies without big funding. Subscribe to the Practical Founders Podcast using your favorite podcast app or view on our YouTube channel. Get the weekly Practical Founders newsletter and podcast updates at practicalfounders.com. Practical Founders CEO Peer Groups Be part of a committed and confidential group of practical founders creating valuable software companies without big VC funding.  A Practical Founders Peer Group is a committed and confidential group of founders/CEOs who want to help you succeed on your terms. Each Practical Founders Peer Group is personally curated and moderated by Greg Head.

Today we're digging into the Model Context Protocol, or MCP. Think LSP for AI: build a small Python service once and your tools and data show up across editors and agents like VS Code, Claude Code, and more. My guest, Den Delimarsky from Microsoft, helps build this space and will keep us honest about what's solid versus what's just shiny. We'll keep it practical: transports that actually work, guardrails you can trust, and a tiny server you could ship this week. By the end, you'll have a clear mental model and a path to plug Python into the internet of agents. Episode sponsors Sentry AI Monitoring, Code TALKPYTHON NordStellar Talk Python Courses Links from the show Den Delimarsky: den.dev Agentic AI Programming for Python Course: training.talkpython.fm Model Context Protocol: modelcontextprotocol.io Model Context Protocol Specification (2025-03-26): modelcontextprotocol.io MCP Python Package (PyPI): pypi.org Awesome MCP Servers (punkpeye) GitHub Repo: github.com Visual Studio Code Docs: Copilot MCP Servers: code.visualstudio.com GitHub MCP Server (GitHub repo): github.com GitHub Blog: Meet the GitHub MCP Registry: github.blog MultiViewer App: multiviewer.app GitHub Blog: Spec-driven development with AI (open source toolkit): github.blog Model Context Protocol Registry (GitHub): github.com mcp (GitHub organization): github.com Tailscale: tailscale.com Watch this episode on YouTube: youtube.com Episode #527 deep-dive: talkpython.fm/527 Episode transcripts: talkpython.fm Theme Song: Developer Rap

Today, we're talking about building real AI products with foundation models. Not toy demos, not vibes. We'll get into the boring dashboards that save launches, evals that change your mind, and the shift from analyst to AI app builder. Our guide is Hugo Bowne-Anderson, educator, podcaster, and data scientist, who's been in the trenches from scalable Python to LLM apps. If you care about shipping LLM features without burning the house down, stick around. Episode sponsors Posit NordStellar Talk Python Courses Links from the show Hugo Bowne-Anderson: x.com Vanishing Gradients Podcast: vanishinggradients.fireside.fm Fundamentals of Dask: High Performance Data Science Course: training.talkpython.fm Building LLM Applications for Data Scientists and Software Engineers: maven.com marimo: a next-generation Python notebook: marimo.io DevDocs (Offline aggregated docs): devdocs.io Elgato Stream Deck: elgato.com Sentry's Seer: talkpython.fm The End of Programming as We Know It: oreilly.com LorikeetCX AI Concierge: lorikeetcx.ai Text to SQL & AI Query Generator: text2sql.ai Inverse relationship enthusiasm for AI and traditional projects: oreilly.com Watch this episode on YouTube: youtube.com Episode #526 deep-dive: talkpython.fm/526 Episode transcripts: talkpython.fm Theme Song: Developer Rap

Building a UI in Python usually means choosing between "quick and limited" or "powerful and painful." What if you could write modern, component-based web apps in pure Python and still keep full control? NiceGUI, pronounced "Nice Guy" sits on FastAPI with a Vue/Quasar front end, gives you real components, live updates over websockets, and it's running in production at Zauberzeug, a German robotic company. On this episode, I'm talking with NiceGUI's creators, Rodja Trappe and Falko Schindler, about how it works, where it shines, and what's coming next. With version 3.0 releasing around the same time this episode comes out, we spend the end of the episode celebrating the 3.0 release. Episode sponsors Posit Agntcy Talk Python Courses Links from the show Rodja Trappe: github.com Falko Schindler: github.com NiceGUI 3.0.0 release: github.com Full LLM/Agentic AI docs instructions for NiceGUI: github.com Zauberzeug: zauberzeug.com NiceGUI: nicegui.io NiceGUI GitHub Repository: github.com NiceGUI Authentication Examples: github.com NiceGUI v3.0.0rc1 Release: github.com Valkey: valkey.io Caddy Web Server: caddyserver.com JustPy: justpy.io Tailwind CSS: tailwindcss.com Quasar ECharts v5 Demo: quasar-echarts-v5.netlify.app AG Grid: ag-grid.com Quasar Framework: quasar.dev NiceGUI Interactive Image Documentation: nicegui.io NiceGUI 3D Scene Documentation: nicegui.io Watch this episode on YouTube: youtube.com Episode #525 deep-dive: talkpython.fm/525 Episode transcripts: talkpython.fm Theme Song: Developer Rap