The Cloud Pod | Weekly AI & Cloud News on AWS, Azure & GCP

Welcome to episode 349 of The Cloud Pod, where the weather is always cloudy! Justin and Jonathan managed to make it into the studio this week, and they brought a guest! Dave Garaway jas joined us, and brought some on-the-ground knowledge from GTC, plus a slew of supply chain attacks, Gmail username changes and Claude’s code debacle. We’ve got all this and more – so let’s get started! Titles we almost went with this week AWS Console Gets a Makeover Nobody Asked For From Eight Hours to 22 Seconds, Hackers Got Fast AWS Spring Cleaning Hits Nine Services Hard Trivy Pursuit Turns Into a 500K Credential Heist Skip the Consultant, AWS Security Now Hacks Itself AWS Pen Testing Agent Pokes Your Cloud Around the Clock Your Cringey Gmail Address Gets a Second Chance Stop Babysitting Servers, Let Google Handle MCP AI Agent Untangles Your Kubernetes Networking Spaghetti One Bad Actor Poisons a Hundred Million Downloads Lambda Finally Hits the Gym with 32 GB From GPU Hype to Production Inference Without the Hyperscaler Headache Follow Up 01:28 Hegseth, Trump had no authority to order Anthropic to be blacklisted, judge says A US District Judge granted Anthropic a preliminary injunction blocking the Department of War’s blacklisting, ruling the designation was First Amendment retaliation rather than a legitimate national security action. The court found officials lacked authority to blacklist Anthropic without considering less restrictive alternatives or providing evidence of an urgent security risk, noting the designation was triggered by Anthropic’s “hostile manner through the press.” The practical business impact was already substantial before the ruling, with three trade deals cancelled and other potential partners delaying negotiations, representing potentially billions in lost contracts over five years. Anthropic continues to balance the legal fight with maintaining its government relationships, publicly emphasizing alignment with the Department of War’s mission around safe AI deployment even while litigating against it. For cloud and AI vendors, this case establishes a notable precedent around government procurement decisions and First Amendment protections, with implications for how companies publicly challenge federal contracting positions. 02:35 Jonathan – “I’m guessing Anthropic is super busy with all the people coming to them for deals right now, because it seems to me that Anthropic is getting all the business customers and OpenAI are getting the personal customers.” 04:08 Delve Announces Changes and New Customer Support Measures Delve has responded to allegations from an anonymous Substack post by denying claims of faked evidence, clarifying that independent AICPA-accredited auditors, not Delve, issue SOC 2 reports and ISO 27001 certifications. The company published a formal rebuttal and is now rolling out operational changes to address customer concerns. To support customers facing questions from their own clients and procurement teams, Delve is offering complimentary re-audits through independent auditors, complimentary grey-box penetration tests, and formal engagement letters from auditors, all at no cost. On the transparency side, Delve is moving auditor communications directly into customer Slack channels or shared email threads, so customers have full visibility into the audit process rather than relying on Delve as an intermediary. The platform is also adding clearer disclosures to templates and forms to explicitly identify them as guidance tools aligned to industry standards, addressing a core point of confusion raised in the controversy. For cloud practitioners, this situation highlights the importance of understanding the distinction between compliance automation platforms and the independent auditors who issue attestations, a boundary that procurement teams are increasingly scrutinizing when evaluating vendor security posture. 06:12 Justin – “I think the reality is that, and we talked about this last week, is that SOC 2 audits are very heavily templatized. That’s how these companies make them, and they work them. They do need to be edited, reviewed, and approved, and the right things need to be done, but they can’t always start as a template. A template’s not the problem. It’s what appears to be the automation and then the rubber-stamping by these auditors.” 06:39 Delve – Fake Compliance as a Service – Part II – Day 1 of 5 This article covers allegations against Delve, a compliance automation startup, and represents a follow-up to earlier reporting. It does not directly relate to cloud platform news typically covered on The Cloud Pod, but here are the relevant talking points for context. A whistleblower from Delve provided internal screenshots and recordings after the initial article, including conversations suggesting the company’s auditing partner, Accorp, may not conduct thorough evidence reviews befor

Welcome to episode 348 of The Cloud Pod, where the weather is always cloudy! Justin, Ryan, and Matt are in the studio this week to bring you all the latest news in AI and Cloud, inclduing Strykers troubles, AWS’ birthday, Bedrock Agents, and Claude Code – plus so much more. Let’s get started! Titles we almost went with this week SOC 2 It to Me Delve Fires Back Shell Yeah Bedrock Agents Just Got Command Line Powers When Your SOC 2 Report Is Just Fan Fiction uv, Ruff, and ty Walk Into an OpenAI Acquisition Hash Field Expiration Is Here, and It’s No Redis Herring Stop Paying Full Price for Tokens You Already Bought Fake It Till You Audit It Cache Me If You Can CNCF Sandbox Edition Microsoft Learns Consent Matters in Copilot Rollout Microsoft’s Stinky Cloud Gets Federal Seal of Approval When Your Audit Trail Leads to a Blog Fight Ping Your AI Agent on Discord Like a Millennial Twenty Years of AWS and the Bill Never Stops The LLM hack that feels a lot like Node Shift Left Package issues Claude Code Auto Mode Lets AI Work Unsupervised Stop Babysitting Your AI Claude Code Goes Solo Auto Mode Gives Claude Code the Keys to the Car Java comes to the coffee shop with AI General News 01:21 Customer Updates: Stryker Network Disruption Stryker confirmed a cyberattack on March 11, 2026, that disrupted their internal Microsoft corporate environment, affecting order processing, manufacturing, and shipping, but notably not their connected medical devices or cloud-hosted products. The attack vector was specific to Stryker’s Microsoft environment, which meant products running on AWS (Vocera Edge, Vocera Ease) and Google Cloud Platform (care.ai) were architecturally isolated and unaffected, demonstrating a practical benefit of multi-cloud separation. Stryker explicitly stated this was not ransomware or malware, and government agencies, including CISA, FBI, and the White House National Cyber Director, were engaged, with domain seizures linked to threat actors already executed. The incident highlights how healthcare organizations can architect medical device and cloud product infrastructure to be independent of corporate IT environments, as every product from Mako to SurgiCount to LIFEPAK operated normally due to network segmentation. Real-world patient impact was limited but present, with some personalized implant cases rescheduled due to shipping delays, underscoring that even contained corporate IT incidents can have downstream effects on physical supply chains. 02:30 Justin – “HugOps to the entire Stryker team; I couldn’t imagine having to rebuild my entire Windows estate at a company the size of Stryker in the middle of trying to do business and everything else.” 05:00 Federal cyber experts called Microsoft’s cloud a “pile of shit,” and approved it anyway FedRAMP authorized Microsoft’s Government Community Cloud High despite internal reviewers finding insufficient security documentation, issuing an unusual “buyer beware” notice to agencies considering the product. This raises questions about the integrity of the federal cloud authorization process when commercial pressures intersect with security evaluations. The GCC High offering is specifically designed to handle some of the US government’s most sensitive data, making the documentation gaps particularly consequential, given that Microsoft had already been linked to two significant federal breaches involving Russian and Chinese state actors. The core technical concern was Microsoft’s inability to adequately document how data is protected as it moves between servers within their cloud infrastructure, leaving reviewers unable to assess the system’s overall security posture with confidence. For cloud practitioners and federal agencies, this situation highlights the risk of relying on vendor-provided security documentation without independent verification, especially for high-sensitivity workloads where compliance approval does not necessarily equal verified security. The outcome has broader implications for FedRAMP’s credibility as a security benchmark, since agencies selecting cloud providers often treat authorization as a meaningful security signal rather than a conditional or incomplete endorsement. 06:00 Ryan – “If you can’t adequately explain how basic things like encryption and security controls are handled in your environment, that’s not good, right? Because while it’s not completely indicative of a security problem, it’s highly suspect.” 06:51 Delve – Fake Compliance as a Service – Part I A detailed investigation alleges that Delve, a compliance automation platform, fabricates audit evidence, including board meeting records and test results, then uses Indian certification mills operating through US shell entities to rubber-stamp reports rather than conduct independent verification. The core technical concern is that Delve reportedly generates id

Welcome to episode 347 of The Cloud Pod, where the forecast is always cloudy! Justin, Jonathan, and Ryan are in the studio recording today, and thankfully, Jonathan hasn’t replaced us all with Skynet – yet. This week, we’re discussing how old our tools (and us) are (hint: it’s really old), whether or not the SaasApocalypse is upon us, and whether or not the business or AI is responsible for the latest round of layoffs. Titles we almost went with this week S3 Bucket Names Finally Stop Being a Global Hunger Games One Million Tokens Walk Into a Context Window SLO Down and Smell the Reliability Metrics CloudWatch Finally Watches Your Whole Cloud Organization S3 Turns 20 and Still Buckets the Competition Azure SRE Agent Goes GA So You Don’t Have To Twenty Years of S3 and No Signs of Object Permanence One Rule to Monitor Them All Across AWS One Flag to Secure Them All on Cloud Run SaaSpocalypse Now Atlassian Layoffs Hit the Jira No More Bucket Name Bingo with S3 Regional Namespaces A Picture Is Worth a Thousand Claude Tokens One Command to Rule Your Autonomous AI Agents AI Fixes Your Incidents Before Your Boss Notices The CloudPod is only recording this week “Because of AI” Amazon begs users to leave Simple DB with another migration tool Follow Up 00:54 Microsoft’s brief in Anthropic case shows new alliance and willingness to challenge Trump administration Microsoft filed an amicus brief in Anthropic’s lawsuit against the U.S. Department of War, urging a federal judge to temporarily block the Pentagon’s designation of Anthropic as a supply chain risk, citing substantial costs to government contractors that rely on Anthropic models. The brief arrived one day after Microsoft launched Copilot Cowork, built on Anthropic’s Claude, and four months after Microsoft committed up to $5 billion in Anthropic as part of a deal requiring Anthropic to spend at least $30 billion on Azure, making the legal filing directly tied to concrete commercial dependencies. Microsoft highlighted a procedural inconsistency in the government’s approach: the Pentagon gave itself six months to transition off Anthropic’s models while making the supply chain designation effective immediately for contractors, creating an unequal compliance burden. Amazon, which has invested $8 billion in Anthropic, has not publicly responded to the lawsuit or the designation, creating a notable contrast in how two major cloud providers with similar financial exposure are handling the situation. OpenAI announced its own Pentagon deal on the same day the Anthropic designation was issued, and 37 researchers from OpenAI and Google separately filed an amicus brief supporting Anthropic, indicating the case is drawing broad attention across the AI and cloud industry with potential implications for how AI guardrails are treated in government contracts. 01:37 Justin – “Oh, yeah, there’s a vested interest in the lawsuit which we did not mention last week, so I wanted to follow up on that, because that explains very clearly why Microsoft is throwing in with Anthropic on this.” General News 02:37 Atlassian to shed ten percent of staff, because of AI Atlassian is cutting roughly 1,600 employees, about 10 percent of its workforce, citing AI-driven changes to required skill sets and a need to self-fund further AI and enterprise sales investment. The company’s market cap has dropped from a peak of around 112 billion dollars in 2021 to approximately 20 billion dollars today, providing financial context for why cost restructuring is happening alongside the AI narrative. The SaaSpocalypse concept is worth discussing here, as Atlassian is among the SaaS vendors analysts flag as potentially vulnerable to organizations replacing traditional tools with AI-generated or vibe-coded alternatives. Atlassian points to 25 percent cloud revenue growth, 600 customers spending over 1 million dollars annually, and 5 million users on its Rovo AI suite as indicators that the business is still growing, which creates an interesting tension with the layoff announcement. For cloud practitioners, this is a concrete example of how AI adoption is beginning to visibly reshape headcount decisions at established SaaS vendors, not just startups, which has implications for how enterprises evaluate vendor stability and long-term support commitments. 03:18 Justin – “I’ve seen Rovo, which is Atlassian’s AI suite, and if that’s the best they can do… I have fears for the long-term health and viability of Jira in general. I’m kind of over the whole let’s blame AI for our bad business decisions. That’s going to get old real quick.” AI Is Going Great – Or How ML Makes Money 06:18 Claude builds interactive visuals right in your conversation Anthropic has launched in beta a new inline visualization feature for Claude that generates interactive charts, diagrams, and other visuals directly within chat conversations, available across all plan tiers at n

Welcome to episode 346 of The Cloud Pod, where the forecast is always cloudy! Hold on to your butts, because Justin, Ryan, and Matt are in the studio today, and they’re ready to bring you all the latest in Cloud and AI news, including the usual: Meta buying social networks, Amazon responding to outages, and OpenAI giving up another version of GPT. Let’s get into it! Titles we almost went with this week ✍️ Cloudflare Spent $1100 to Rewrite Next.js in a Week 🪈 One Pipe to Rule All Your OpenTelemetry Data ☑️ Check Yourself Before Google Wrecks Your Cloud Config 🎫 Copilot Takes Jira Tickets So You Don't Have To 🧑‍✈️ GitHub Copilot Agent Joins Your Jira Workflow Uninvited 👉 When AI Agents Network, Meta Swipes Right on Moltbook 🎛️ Sixty Controls Walk Into a Terraform Repository 🪪 One Security Console to Rule All Your Clouds 🔒 AI Ate My Lock-In, and I Feel Fine ⛅ Oracle Sees $90 Billion Future Cloudy With a Chance of GPUs 💻 Your API Has Trust Issues, and We Can Prove It 🏃 Stop Running Three Pipelines Like a Telemetry Hoarder 🦕 From Database Dinosaur to AI Cash Cow ☠️ Meta: Target acquired; must kill Moltbook 🔫 Meta saw Moltbook and said, “WE MUST OWN IT AND KILL.” Follow Up 00:51 Where things stand with the Department of War Anthropic has been designated a supply chain risk to US national security by the Department of War, a designation the company is challenging in court as legally unsound under 10 USC 3252. The practical scope of the designation is narrow, applying only to the use of Claude in direct Department of War contracts, not to all customers that hold such contracts or to unrelated business with Anthropic. Anthropic has stated that it will continue to provide its models to the Department of War and the national security community at nominal cost, with ongoing engineering support, during any transition period and for as long as permitted. The company's two stated exceptions to military use involve fully autonomous weapons and mass domestic surveillance, and Anthropic has clarified these do not extend to operational decision-making, which it considers the military's domain. For cloud and enterprise customers, the key takeaway is that existing Claude deployments unrelated to Department of War contracts remain unaffected, though the legal dispute introduces uncertainty into federal procurement pipelines involving AI services. We will keep you updated on this in 12-18 months… AI Is Going Great - Or How ML Makes Money 01:21 Introducing GPT-5.4 OpenAI released GPT-5.4 across ChatGPT, the API, and Codex, positioning it as their most capable reasoning model to date. It merges the coding strengths of GPT-5.3-Codex with general reasoning, professional knowledge work, and native computer-use capabilities in a single model. The computer-use capabilities are a notable technical step, with GPT-5.4 achieving a 75% success rate on OSWorld-Verified desktop navigation, surpassing the reported human benchmark of 72.4% and up from GPT-5.2's 47.3%. This makes it the first general-purpose OpenAI model with native computer use built in, making it relevant for developers building agents that operate across web browsers and desktop software. Tool search is a practical efficiency improvement for agentic API workflows, dynamically loading tool definitions only when needed rather than stuffing all definitions into the prompt upfront. In testing against Scale's MCP Atlas benchmark on 36 MCP servers, this reduced total token usage by 47% with no loss in accuracy, directly translating to lower API costs for tool-heavy applications. On the professional work side, GPT-5.4 scores 87.3% on an internal investment banking spreadsheet benchmark, up from 68.4% for GPT-5.2, and achieves 91% on BigLaw Bench for legal document work. The ChatGPT for Excel add-in, launched alongside it, gives Enterprise customers a direct integration path. Pricing is higher per token than GPT-5.2 in the API, though OpenAI notes the model's token efficiency should offset costs for many workloads. Batch and Flex pricing remain available at half the standard rate, and Priority processing is available at 2x the standard rate for latency-sensitive use cases. 02:19 📢 Justin - “There’s also been a slew of every cloud provider in the world announcing Chat-GPT 5.4 is now available, and we will not be telling you about all of them, but assume that if you use a different model or different cloud, they probably have it.” 04:33 Introducing ChatGPT for Excel and new financial data integrations OpenAI launched ChatGPT for Excel in beta, an add-in powered by GPT-5.4 that lets users build, update, and analyze spreadsheet models using plain language descriptions. It preserves existing formulas and structure, asks permission before making changes, and links answers to specific cells for auditability. Available now for Business, Enterprise, Edu, Pro, and Plus users in the US, Canada, and Australia. GPT-5.4 (also available as GPT-5.4 Thinking) is now live in ChatGPT, Codex,

Welcome to episode 345 of The Cloud Pod, where the forecast is always cloudy! Justin, Ryan, and Matt are in the studio this week and are ready to bring you all the latest in cloud and AI news, including what’s going on between Anthropic, the DOD, and OpenAI, what the war means for Middle East data centers (Spoiler – I hope you have a good Disaster Recovery plan), and Transit Gateway pricing changes that are enough to make a grown man cry. And don’t bother waiting: Matt has completely forgotten almost two years of “bye everybody” and now claims full amnesia as to what his outtro is. Oh well. Let’s get into today’s show. Titles we almost went with this week Claude Learned to Use a Computer Better Than Your Dad **OpenAI Amazon and OpenAI’s $138 Billion AI Bromance When Two AZs Go Dark the Cloud Gets Crispy Fifty Billion Reasons AWS Loves OpenAI Now **Anthropic Azure Still Wins Even When AWS Thinks It Did Fire, Water, and a Multi-AZ Assumption Goes Up in Smoke Claude Refuses to Go Full Skynet for the Pentagon GPT-5.3 Instant Finally Stops Lecturing You No Killer Robots Without Human Approval Please Terraform Finally Sees Your Forgotten Cloud Resources Stage Before You Rage Deploy Azure Firewall CrowdStrike to Zscaler AWS Wants Your Security Tab One Hub to Rule Your API Sprawl Transit Gateway Attachments Just Got Surprisingly Expensive Azure Container Registry Finally Has Room for Your AI Hoarding Bedrock Gets a Roommate OpenAI Moves In Azure Firewall Gets a Safety on the Trigger Stop Writing Scripts, Just Import the Dang Infrastructure Audit Your APIs Before March 2026 Bites You Damn it… my excuse not to DR is gone I’m Epically Furious about DR AI Is Going Great – Or How ML Makes Money 03:34 Anthropic acquires Vercept to advance Claude’s computer use capabilities Anthropic acquired Vercept, a team specializing in AI perception and interaction, to strengthen Claude’s computer use capabilities. The Vercept founders, including Ross Girshick, bring deep expertise in how AI systems visually interpret and interact with software interfaces. Claude Sonnet 4.6 shows substantial improvement in computer use benchmarks, jumping from under 15% on the OSWorld evaluation in late 2024 to 72.5% today. The model is now approaching human-level performance on tasks like navigating spreadsheets and completing multi-tab web forms. Computer use enables Claude to operate inside live applications the way a human would, handling multi-step workflows across tools that cannot be automated through code alone. This is relevant for enterprise use cases involving document processing, browser-based workflows, and cross-application task management. This is Anthropic’s second acquisition in a short period, following the purchase of Bun, which was tied to the Claude Code milestone. The pattern suggests Anthropic is actively acquiring specialized engineering teams rather than just technology assets. For developers and businesses building agentic workflows on Claude, the improved computer use performance means more reliable automation of complex, real-world software tasks without requiring custom integrations or APIs for every application involved. 05:18 Justin – “It seems like every day I have to update Claude Code because they released a new feature or a new capability.” 12:34 Improving skill-creator: Test, measure, and refine Agent Skills Anthropic has updated its skill-creator tool for Claude Agent Skills, now available on Claude.ai, Cowork, and as a plugin for Claude Code. The update brings software development practices like testing, benchmarking, and iterative refinement to skill authoring without requiring users to write code. The core addition is an eval framework that lets skill authors define test prompts, describe expected outputs, and verify skill behavior across model updates. A practical example given is the PDF skill fix, where evals isolated a positioning failure on non-fillable forms and guided a targeted fix. A new benchmark mode tracks eval pass rate, elapsed time, and token usage, and can be integrated into CI systems or local dashboards. Multi-agent parallel eval execution is also included to reduce test time and prevent context bleed between runs. Comparator agents enable A/B testing between two skill versions or between a skill and no skill, with blind judging to reduce bias in assessing whether a change improves output quality. Anthropic notes that as base-model capabilities improve, some capability-uptake skills may become unnecessary, and the eval framework is positioned as a step toward skills being defined by natural-language descriptions of desired outcomes rather than detailed implementation instructions. 13:54 Justin – “For things that are actually in pipelines or agentic capabilities where you want things to be specific, this is great.” 14:35 Statement on the comments from Secretary of War Pete Hegseth Anthropic has publicly refused to allow Claude to be used for mass

Welcome to episode 344 of The Cloud Pod, where the forecast is always cloudy! Justin is out of the office at a World of Warcraft Tournament (not really), and Ryan is pursuing his lifelong dream of becoming a roadie for The Eagles (maybe?), so it’s Jonathan and Matt holding down the fort this week, and they’ve got a ton of cloud news for you! From security to AI assistants, we’ve got all the news you need. Let’s get started! Titles we almost went with this week Zero Bus, All Gas, No Kafka Brakes AI Coding Bot Bites the Hand That Runs It When Your Robot Developer Goes Rogue on AWS Kubernetes VPA Finally Stops Evicting Your Database Pods Google Trains 100 Million People, Still No One Reads the Docs MCP Walks Into a Bar Not Enterprise Ready Yet No More Pod Evictions Kubernetes 1.35 Scales In Place No Keys No Drama Just IAM and Cloud SQL One Agent to Rule Them All in Kubernetes IAM Tired of Writing Policies Manually When Your AI Coding Tool Has Delete Permissions One Dashboard to Rule All Your GPU Clusters Serverless Reservations Prove Nothing Is Truly Free Range Kiro Takes the Wheel on AWS IAM Policies Stop Blaming Backups for Your Bad Architecture AI Agent Goes Rogue, Takes AWS Down With It Everything is Bigger in Texas Except the Water Usage OpenAI launches the college basketball of Inference. Pro service – low cost General News 1:05 Code Mode: give agents an entire API in 1,000 tokens Cloudflare‘s Code Mode MCP server reduces token consumption by 99.9% compared to a traditional MCP implementation, exposing the entire Cloudflare API (over 2,500 endpoints) through just two tools, search() and execute(), using roughly 1,000 tokens versus 1.17 million for a conventional approach. The architecture works by having the AI agent write JavaScript code against a typed OpenAPI spec representation, rather than loading tool definitions into context, with code executing inside a sandboxed V8 isolate (Dynamic Worker) that restricts file system access, environment variables, and external fetches by default. This approach addresses a fundamental constraint in agentic AI systems: adding more tools to give agents broader capabilities directly competes with the available context space for the task at hand. 01:41 Jonathan- “It’s good. I’m not sure I could imagine 2 ½ thousand MCP tool definitions in a context window and still actually use it for anything.” AI Is Going Great – Or How ML Makes Money 03:58 OpenClaw creator Peter Steinberger joins OpenAI Peter Steinberger, creator of viral AI assistant OpenClaw (formerly Clawdbot/Moltbot), has joined OpenAI to lead development of next-generation personal agents. OpenClaw gained attention for its ability to perform real-world tasks like calendar management, flight booking, and autonomous social network participation. OpenAI will maintain OpenClaw as an open source project through a foundation structure, allowing the community to continue development while Steinberger focuses on building similar capabilities into OpenAI’s product suite. This acquisition-to-open-source model differs from typical tech company acquisitions, where projects are absorbed or shut down. The move signals OpenAI’s strategic focus on agentic AI systems that can execute multi-step tasks autonomously rather than just responding to prompts. Steinberger’s experience building practical automation workflows could accelerate OpenAI’s development of agent capabilities that compete with offerings from Anthropic, Google, and Microsoft. For developers, this represents a shift in how personal AI assistants may be deployed, moving from standalone applications to integrated agent frameworks within larger platforms. The open source continuation of OpenClaw provides a reference implementation for building task-oriented AI systems. 04:19 Matt – “This is kind of where I see Anthriopic Cowork slowly going to, being your personal assistant, and having this be your ability to manage your real-world tasks. It’s great, and if they can build that into OpenAI, then it becomes a lot more of a personal assistant than just a general tool that you’re using.” 09:11 Making frontier cybersecurity capabilities available to defenders Anthropic launched Claude Code Security in a limited research preview for Enterprise and Team customers, with free expedited access for open-source maintainers. Unlike traditional static analysis tools that match known vulnerability patterns, it reasons through code contextually, the way a human security researcher would, catching logic flaws and access control issues that rule-based tools miss. The tool uses a multi-stage verification process where Claude re-examines its own findings to filter false positives, assigns severity ratings, and provides confidence scores. Critically, no patches are applied without human approval, keeping developers in the decision loop. For cloud and enterprise teams, this integrates directly into Claude Code on the web, meaning security r

Welcome to episode 343 of The Cloud Pod, where the forecast is always cloudy! Justin, Ryan, and Matt are in the studio this week bringing you all the latest in Cloud and AI news, including some of the smaller clouds like Cloudflare and Crusoe Cloud, as well as announcements from the big guys like Google’s Gemini DeepThink, Anthropic’s big pay day, and Microsoft’s Notepad problem. We’ve got all this plus Matt screwing up his outro AGAIN, so let’s get started! Titles we almost went with this week Chrome’s WebMCP Protocol: Teaching AI Agents to Stop Doom-Scrolling the DOM and Actually Get Work Done Claude Enterprise Self-Service: Because Sometimes You Just Want to Buy AI Without Small Talk AWS EC2 Goes Inception Mode: Now You Can Virtualize Your Virtualization Without Going Broke Amazon EC2 Nested Virtualization: Because Your Virtual Machine Was Lonely and Needed Its Own Virtual Machine CloudWatch Alarm Mute Rules: Because Your Deployment Doesn’t Need a Standing Ovation at 3 AM Anthropic’s $380 Billion Valuation Proves AI Funding Has Gone Claude Nine AWS EC2 Nested Virtualization Finally Escapes the Expensive Hardware Jail Cloudflare Teaches AI Agents the Magic Words: Accept text/markdown and Save 13,000 Tokens Crusoe Cloud’s MCP Server: Teaching AI Assistants to Stop Asking for the Manager and Just Fix Your Infrastructure Azure’s New Agentic Copilot: Because Manually Clicking Through Dashboards Was So 2023 Chrome’s WebMCP Gives AI Agents a GPS for Websites Because Apparently They’ve Been Lost in the HTML This Whole Time Anthropic Cuts Out the Middleman: Claude Enterprise Now Available Without the Enterprise Sales Dance AWS Gives CloudWatch the Silent Treatment: New Mute Rules Let Alarms Sleep Through Maintenance Windows AWS CloudWatch Hits Snooze: Mute Rules End On-Call Nightmares AWS Gives CloudWatch the Silent Treatment General News 00:45 Bloat Risk? Microsoft’s Notepad Upgrade Also Introduced a Vulnerability | PCMag Microsoft’s recent Notepad modernization introduced CVE-2026-20841, a vulnerability in the new Markdown support feature that allows malicious links in files to execute remote code. The flaw has been patched in the February 2026 security updates, but it highlights the security trade-offs when adding features to historically simple applications. The vulnerability exploits Notepad’s Markdown rendering capability, which Microsoft added in May to support lightweight markup language formatting. When Notepad opens a specially crafted Markdown file, embedded malicious links can trigger unverified protocols that load and execute remote files on the system. This incident raises questions about feature bloat in core Windows utilities, particularly as Microsoft continues adding network-dependent capabilities like AI-powered text writing to Notepad. Security researchers are debating whether basic text editors should have network functionality at all, given the expanded attack surface. The vulnerability demonstrates how modernization efforts can introduce security risks in previously low-risk applications. Organizations using Windows need to ensure their systems receive the February 2026 security updates to address this specific flaw in Notepad’s Markdown implementation. 02:04 Matt – “I’m just confused why they didn’t use Copilot on their pull request in order to identify this as a potential bug. I feel like it should have found it. Just sayin’…” 03:13 WebMCP is available for early preview Chrome is introducing WebMCP, a standardized protocol that lets websites expose structured tools and actions directly to AI agents, eliminating the need for agents to parse raw HTML and DOM elements. This addresses a key reliability problem in agentic workflows where AI agents currently struggle with inconsistent web interactions. The protocol offers two interaction modes: a declarative API for simple HTML form-based actions and an imperative API for complex JavaScript-driven workflows. This dual approach lets websites define exactly how agents should interact with features like booking systems, support ticket forms, and checkout processes. Early use cases focus on high-value transactional workflows, including e-commerce product configuration, travel booking with complex filtering requirements, and automated customer support ticket creation with technical details. These scenarios benefit most from structured interactions versus unreliable DOM manipulation. The early preview program requires sign-up for access to documentation and demos, indicating this is still in experimental stages. Developers interested in making their sites agent-ready will need to implement these new APIs to participate in the agentic web ecosystem Chrome is building. This represents Chrome’s attempt to standardize how AI agents interact with websites before the market fragments with competing approaches. Sites that adopt WebMCP early may gain advantages as browser-bas

Welcome to episode 342 of The Cloud Pod, where the forecast is always cloudy! Justin, Ryan, and Matt are in the studio today to bring you all the latest in cloud and AI news this week. How do you feel about ads? How do you feel about ads while using AI? We’ve got options! We’ve got a round-up of tech Super Bowl ads, AI ads, Earnings reports (who frankly need the ad revenue), and a plethora of Opus 4.6 announcements, plus more. Let’s get started! Titles we almost went with this week ChatGPT Goes Full Mad Men: Your AI Assistant Now Comes With Commercial Breaks Heroku’s New Feature: No New Features AWS Gives EC2 Instances a Storage Growth Spurt: 22.8TB of Local NVMe Now Available Identity Crisis Averted: IAM Identity Center Learns to Replicate Itself JSON Schema Enforcement: Because Your LLM Needs Structure in Its Life From Zero to Admin in 480 Seconds: A Serbian Speedrun Story From Proof of Concept to Proof of Claw: DigitalOcean Tames AI Agent Infrastructure Azure’s Growth Hits the Clouds: Microsoft’s 39% Increase Still Not Enough for Wall Street One Lake to Rule Them All: Microsoft and Snowflake Finally Stop Fighting Over Your Data Free Lunch Officially Over: ChatGPT Learns That Servers Cost Money Claude Won’t Sell You Anything (Except Maybe Peace of Mind) IAM Identity Center Goes Multi-Regional: Because One Region to Rule Them All Wasn’t Enough Databricks Takes the Base Out of Database with Lakebase GA I’m a Chrome Tab hoarder General News 01:30 Superbowl Ads of Note OpenAI: https://www.youtube.com/watch?v=aCN9iCXNJqQ Microsoft CoPilot: https://www.youtube.com/watch?v=Ndj9Jk-tGKo Base44?: https://www.youtube.com/watch?v=iKEUWtqvsis Gemini: https://www.youtube.com/watch?v=Z1yGy9fELtE Anthropic: https://www.youtube.com/watch?v=gmnjDLwZckA ai.com: https://www.youtube.com/watch?v=n7I-D4YXbzg&t=3s 16:35 Justin -If you ever want to knowif there’s a bubble, spending dumb money on the Super Bowl on an ad that makes no sense is probably your number one clue.” 16:53 It’s Earnings Time! Microsoft (MSFT) Q2 earnings report 2026 Microsoft Q2 2026 earnings show Azure cloud growth slowing to 39% from 40% in the prior quarter, missing analyst expectations of 39.4% and causing shares to drop 7% in after-hours trading. The company’s gross margin hit a three-year low at 68% due to substantial AI infrastructure investments totaling $37.5 billion in capital expenditures, up 66% year over year. OpenAI now represents 45% of Microsoft’s $625 billion remaining commercial performance obligation after the company committed to a $250 billion cloud services deal during the quarter. This concentration raises questions about revenue dependence on a single customer, though Microsoft maintains that the remaining backlog is still larger and more diversified than most competitors, with 28% growth. Microsoft 365 Copilot adoption reached 15 million seats out of 450 million total paid commercial seats, representing only 3.3% penetration. The company plans to raise prices on commercial Office subscriptions in July to help offset AI infrastructure costs and improve margins, while Q3 guidance projects Azure growth of 37-38% at constant currency. The More Personal Computing segment declined 3%, with gaming revenue down 9.5% due to an unspecified impairment charge, reflecting ongoing challenges in the Xbox division. Microsoft added nearly one gigawatt of data center capacity in the quarter alone, but continues to face supply constraints that cannot keep pace with customer demand for AI services. 20:27 Alphabet (GOOGL) Q4 2025 earnings Alphabet plans to spend between $175 billion and $185 billion on capital expenditures in 2026, more than double its 2025 spending, primarily targeting AI compute capacity for DeepMind and meeting cloud customer demand. This represents one of the largest infrastructure investments in tech history and signals the scale of resources required to compete in enterprise AI. Google Cloud revenue grew 48% year-over-year to $17.66 billion and beat analyst expectations, with backlog reaching $240 billion after increasing 55% sequentially. The cloud division’s performance demonstrates strong enterprise adoption of Google’s AI services and positions it as a more competitive alternative to AWS and Azure. Gemini AI now has 750 million monthly active users, up from 650 million last quarter, while Google reduced Gemini serving costs by 78% throughout 2025 through model optimizations and efficiency improvements. This cost reduction is critical for maintaining profitability as AI services scale to hundreds of millions of users. YouTube advertising revenue of $11.38 billion missed analyst expectations of $11.84 billion, which Alphabet attributed to difficult year-over-year comparisons against strong US election spending in Q4 2024. This shortfall highlights how political advertising cycles create volatility in digital ad revenue forecasting. Waymo recorded a $2.1 billion stock-base

Welcome to episode 341 of The Cloud Pod, where the forecast is always cloudy! Matt & Ryan are picking up Justin’s slack this week while he’s traveling for work, but don’t worry, because they have plenty of news! We’re talking about those mass layoffs over at AWS, a major security breach over at Notepad++, and some new slight of hand over at Elon’s companies. There’s a lot to cover, so let’s get into it! Titles we almost went with this week Finally, a Chatbot That Actually Knows Where Your Data Lives **Anthropic Microsoft Adds Security Analyzer to MSSQL Extension: Because Bobby Tables Jokes Are Only Funny Until They Happen to You From Sequential Sadness to Parallel Paradise: GKE Node Pools Get Concurrent From Vibe Coding to Production: AWS MCP Server Gets SOPs One Prompt to Deploy Them All: AWS MCP Server Automates Infrastructure AWS Layoffs: Scaling Down Instead of Scaling Out Mutual TLS: Because CloudFront and Your Origin Need Couples Therapy Claude Team Plan: Now With More Seats and Less Bills From Snowflake to Snowball: Rolling Data and Dev Into One Platform From Notepad++ to Notepad Pwned: A Six-Month Hosting Horror Story EventBridge Payload Capacity Gets a 4x Upgrade: No More Event Splitting Headaches CloudFront Finally Learns to Check ID Before Knocking on Origin’s Door General News 01:30 SpaceX acquires xAI, plans to launch a massive satellite constellation to power it – Ars Technica SpaceX has acquired xAI to create a vertically integrated AI and space infrastructure company, with plans to deploy up to 1 million satellites as orbital data centers. This represents a significant bet that space-based compute infrastructure can be cost-competitive with traditional ground-based data centers for AI workloads. The merger combines SpaceX’s launch capabilities and satellite manufacturing expertise with xAI’s Grok chatbot and X social platform. The strategy assumes AI demand will continue to grow and that compute capacity, rather than other factors, is the primary bottleneck to AI adoption. The orbital data center concept raises questions about latency, power requirements, thermal management, and maintenance compared to terrestrial facilities. Traditional cloud providers have invested heavily in ground-based infrastructure optimized for these factors. This consolidation of Musk’s companies creates potential conflicts between SpaceX’s established government and commercial contracts and xAI’s more controversial products. The integration of a proven aerospace company with a newer AI venture introduces execution risk to SpaceX’s core business. The plan depends on several unproven assumptions, including sustained AI market growth, viable economics for space-based computing, and the ability to manufacture and launch satellite

Welcome to episode 340 of The Cloud Pod, where the forecast is always cloudy! It’s a full house (eventually) with Justin, Jonathan, Ryan, and Matt all on board for today’s episode. We’ve got a lot of announcements, from Gemini for Gov (no more CamoGPT!) to Route 52 and Claude. Let’s get started! Titles we almost went with this week Claude’s Pricing Tiers: Free, Pro, and Maximum Overdrive GitHub Copilot Learns Database Schema: Finally an AI That Understands Your Joins SSMS Gets a Copilot: Your T-SQL Now Writes Itself While You Grab Coffee Too Many Cooks in the Cloud Kitchen: How 32 GPUs Outcooked the Big Tech Industrial Kitchens Uncle Sam Gets a Gemini Twin: Google’s AI Goes Federal Route 53 Gets Domain of Its Own: .ai Joins the Party Thai One On: Google Cloud Plants Its Flag in Bangkok NAT So Fast: Azure’s Gateway Gets a V2 Glow-Up Beware Azure’s SQL Assistant doesn’t smoke your joints. AI Is Going Great, Or How ML Makes Money 30:10 Announcing BlackIce: A Containerized Red Teaming Toolkit for AI Security Testing | Databricks Blog Databricks released BlackIce, an open-source containerized toolkit that bundles 14 AI security testing tools into a single Docker image available on Docker Hub as databricksruntime/blackice:17.3-LTS. The toolkit addresses common red teaming challenges, including conflicting dependencies, complex setup requirements, and the fragmented landscape of AI security tools, by providing a unified command-line interface similar to how Kali Linux works for traditional penetration testing. The toolkit includes tools covering three main categories: Responsible AI, Security testing, and classical adversarial ML, with capabilities mapped to MITRE ATLAS and the Databricks AI Security Framework. Tools are organized as either static (simple CLI-based with minimal programming needed) or dynamic (Python-based with customization options), with static tools isolated in separate virtual environments and dynamic tools in a global environment with managed dependencies. BlackIce integrates directly with Databricks Model Serving endpoints through custom patches applied to several tools, allowing security teams to test for vulnerabilities like prompt injections, data leakage, hallucination detection, jailbreak attacks, and supply chain security issues. Users can deploy it via Databricks Container Services by specifying the Docker image URL when creating compute clusters. The release includes a demo notebook showing how to orchestrate multiple security tools in a single environment, with all build artifacts, tool documentation, and examples available in the GitHub repository. The CAMLIS Red Paper provides additional technical details on tool selection criteria and the Docker image architecture. 04:30 Ryan – “It’s very difficult to feel confident in your AI security practice or patterns. I feel like it’s just bleeding edge, and I

Welcome to episode 339 of The Cloud Pod, where the forecast is always cloudy! Justin and Matt are in the studio today to bring you all the latest in cloud and AI announcements, including more personnel shifts (and it doesn’t seem like it was very friendly), a new way to get much needed copper, and Azure marketplace advertising 4,000 different models. What’s the real story? Let’s get into it and find out! Titles we almost went with this week US-EAST-1: Still the Least Reliable Friend You Keep Inviting to Parties **OpenAI 0⃣ From Zero to Inference: BigQuery Makes Open Models a Two-SQL Problem AWS Goes Full Brandenburg Gate: Sovereign Cloud Opens for Business Seven Ate Nine: AWS Skips G7 and Goes Straight to G7e Instances From Crawling to Calling: Cloudflare Buys Human Native to Fix AI’s Data Problem Finally, an AI That Actually Listens to Your War Room Panic Tag, You’re Governed: AWS Automation Takes the Wheel Cloudflare Reaches for the Stars: Astro Framework Acquisition Lands Gemini Gets Personal: Google AI Finally Reads Your Email (With Permission) AWS Strikes Ore: Amazon Cuts Out the Middleman in Copper Supply Chain When Your Region Goes Down More Often Than Your Kubernetes Cluster ChatGPT Go: OpenAI’s New Middle Child Gets $8 Allowance Cloudflare’s Space-Age Acquisition: Astro Gets Jetsons-Level Upgrade Rosie the Robot Fired: Cloudflare Brings Astro Framework Into the Family It took 5 years, and now we have ads in our AI. AI now with Ads EU says hands off my data   General News 00:50 Heather’s data is not unreliable Maybe it’s unreliable. I blame Matt for having screwed up his outtro (as he did today), in which case I no longer recognize his participation. 01:11 Astro is joining Cloudflare Cloudflare acquires The Astro Technology Company, bringing the popular open-source web framework in-house while maintaining its MIT license and multi-cloud deployment capabilities. Major platforms like Webflow Cloud, Wix Vibe, and Stainless already use Astro on Cloudflare infrastructure to power customer websites. Astro 6 introduces a redesigned development server built on Vite Environments API that runs code locally using the same runtime as production deployment. When using the Cloudflare Vite plugin, developers can test against workerd runtime with access to Durable Objects, D1, KV, and other Cloudflare services during local development. The framework focuses on content-driven websites through its Islands Architecture, which renders most pages as static HTML while allowing

Welcome to episode 338 of The Cloud Pod, where the forecast is always cloudy! Justin, Ryan, Matt, and Jonathan are in the studio today to bring you all the latest in cloud and AI news, including a bit of a buying spree (inlcuding whole power companies) Veo 3.1, Cowork, and more – today in the cloud! Titles we almost went with this week Snowflake’s Ironic Timing: Buying Downtime Prevention Tool While Experiencing Downtime Flexera Buys ProsperOps and Chaos Genius, Promises Less Chaos and More Prosperity Flexera Goes Shopping: Two FinOps Acquisitions to Prosper and Reduce Chaos Token of Appreciation: Gemini CLI Now Tracks Every Penny of Your AI Spend Snowflake Buys Observe to Stop Its Own Services from Melting Down Google’s Veo 3.1 Goes Vertical: Finally Understanding How People Actually Hold Their Phones Alphabet’s New Power Move: Buying the Company That Literally Powers Data Centers Dashboard Confessional: Gemini CLI Gets Transparent About Its Usage Microsoft’s New Agent Works 24/7 and Never Asks for a Raise From Robot Vacuums That Climb Stairs to TVs You Can’t Feel: CES Gets Weird Agent Shopping: When Your AI Has Better Taste Than You Do The cloudpod hosts do not like any stories this week AWS took a nap on announcements this week Claude is my new co-worker Wake up, AWS, and give us some fun news The $200 Assistant: Is Cowork the End of Workplace Admins? Azure has more interesting announcements than AWS oh noooo If you can’t beat them in AI, just acquire everyone Notebook LM turns the Data Tables on you AI Is Going Great – Or How ML Makes Money 01:11 Anthropic launches Cowork, a Claude Code-like for general computing – Ars Technica Anthropic launches Cowork, a new feature in the macOS Claude desktop app that extends Claude Code‘s agentic capabilities to general office work tasks. Users can grant Claude access to specific folders and use plain language instructions to automate tasks like filling expense reports from receipt photos, writing reports from notes, or reorganizing files. Cowork lowers the technical barrier compared to Claude Code by making AI-assisted file operations accessible to non-developer knowledge workers, including marketers and office staff. The feature was developed after Anthropic observed users already applying Claude Code to general knowledge work despite its developer-focused positioning. The tool provides similar functionality to what was possible through Model Context Protocol integrations, but offers a more streamlined interface with Claude Code-style usability improvements. Users can submit new requests or modifications to ongoing tasks without waiting for the initial assignment to complete. Cowork represents a strategic expansion of Anthropic’s agentic AI approach beyond software development into broader productivity workflows.

Welcome to episode 337 of The Cloud Pod, where the forecast is always cloudy! Justin, Matt, and Ryan have hit the recording studio to bring you all the latest in cloud and AI news, from acquisitions and price hikes to new tools that Ryan somehow loves but also hates? We don’t understand either… but let’s get started! Titles we almost went with this week Prompt Engineering Our Way Into Trouble The Demo Worked Yesterday, We Swear It Scales Horizontally, Trust Us Responsible AI But Terrible Copy (Marketing Edition) General News 00:58 Watch ‘The Thinking Game’ documentary for free on YouTube Google DeepMind is releasing the &#8220;The Thinking Game&#8221; documentary for free on YouTube starting November 25, marking the fifth anniversary of AlphaFold. The feature-length film provides behind-the-scenes access to the AI lab and documents the team&#8217;s work toward artificial general intelligence over five years. The documentary captures the moment when the AlphaFold team learned they had solved the 50-year protein folding problem in biology, a scientific achievement that recently earned Demis Hassabis and John Jumper the Nobel Prize in Chemistry. This represents one of the most significant practical applications of deep learning to fundamental scientific research. The film was produced by the same award-winning team that created the AlphaGo documentary, which chronicled DeepMind&#8217;s earlier achievement in mastering the game of Go. For cloud and AI practitioners, this offers insight into how Google DeepMind approaches complex AI research problems and the development process behind their models. While this is primarily a documentary release rather than a technical product announcement, it provides context for understanding Google&#8217;s broader AI strategy and the research foundation underlying its cloud AI services. The AlphaFold model itself is available through Google Cloud for protein structure prediction workloads. 01:54 Justin &#8211; “If you’re not into technology, don’t care about any of that, and don’t care about AI and how they built all the AI models that are now powering the world of LLMs we have, you will not like this documentary.” 04:22 ServiceNow to buy Armis in $7.7 billion security deal • The Register ServiceNow is acquiring Armis for $7.75 billion to integrate real-time security intelligence with its Configuration Management Database, allowing customers to identify vulnerabilities across IT, OT, and medical devices and remediate them through automated workflows. <a href="https://newsroom.servicenow.com/press-releases/details/2025/ServiceNow-to-acquire-Armis-to-expand-cyber-exposure-and-security-across-the-full-attack-surface-in-IT-OT-and-medical-devices-for-companies-governments-and-critical-infrastructure-world

Welcome to episode 335 of The Cloud Pod, where the forecast is always cloudy! Welcome to the first show of 2026, and it’s a full house, too! Justin, Jonathan, Ryan, and Matt are all here to reflect on 2025, plus bring you their predictions for 2026. Let’s get started! Titles we almost went with this week SQL Me Maybe: AlloyDB Gets Chatty With Your Database **OpenAI SELECT * FROM natural_language WHERE accuracy LIKE &#8216;100%&#8217; **Anthropic etcd You Were Worried About Database Limits: CloudWatch Has Your Back CSV You Later: Looker Adds Drag-and-Drop Data Uploads AWS Spots an Opportunity to Manage Your Container Costs EKS Network Policies: No More IP Address Whack-a-Mole AWS Security Hub Splits: It&#8217;s Not You, It&#8217;s CSPM Spot On: ECS Finally Manages Your Cheapest Compute TOON Squad: DigitalOcean&#8217;s New Format Makes JSON Look Bloated The Price is Wrong: AWS Breaks Two Decades of Downward Pricing Tradition Show Your Work: Why AI-Generated Code Without Tests is Just Expensive Spam No More Agent Orange: Google Simplifies VM Extension Deployment AWS Discovers Prices Can Go Both Ways, Raises GPU Costs 15 Percent Sovereignty Washing: When Your European Cloud Still Answers to Uncle Sam Agent Builder Gets a Memory Upgrade: Google&#8217;s AI Finally Remembers Where It Put Its Keys Ctrl+F for the Future: A year-end Scorecard &amp; Next-Gen Bets AI Agents, GPU Prices, and The best of the Cloud Pod 2025 Beyond the Hype: The Cloud Pods Definitive 2025 Year in Review Apocalypse Now… What? Our 2026 Forecast &nbsp; Follow Up 01:27 RYAN&#8217;S PREDICTIONS Prediction Status Notes Quick LLM models for individuals ACCURATE Meta-Llama-3.1-8B-Instruct, GLM-4-9B-0414, and Qwen2.5-VL-7B-Instruct—each chosen for an outstanding balance of performance and computational efficiency, making them ideal for edge AI deployment. A new AI inference application called Inferencer allows even modest Apple Mac computers to run the largest open-source LLMs. AI at the edge natively (Lambda-esque) ACCURATE Akamai launched a new Inference Cloud product for edge AI using Nvidia&#8217;s Blackwell 6000 GPUs in 17 cities. AWS IoT Greengrass with Lambda functions for edge logic. &#8220;Edge AI allows for instant decision-making where it matters most—close to the data source.&#8221; Cloud native security mesh multi-cloud UNCLEAR Service mesh technologies continue to evolve (Istio, Linkerd), but I didn&#8217;t find a breakthrough &#8220;app-to-app at the edge&#8221; security mesh product announcement in 2025. This one needs more specific evidence. Ryan Score: 2/3 02:25 MATTHEW&#8217;S PREDICTIONS Prediction Status Notes FOCUS adopted by Snowflake or Databricks ACCURATE FOCUS version 1.2 was ratified on May 29, 2025. Three new providers announced support: Alibaba Cloud, Databricks, and Grafana. Databricks officially adopted FOCUS! AI security/ethical standard (SOC or ISO) ACCURATE ISO 42001 is the first international standard outlining requirements for AI governance. Major companies achieving certification in 2025: Automation Anywhere is among the first 100 companies worldwide to earn ISO/IEC 42001:2023 certification. Anthropic also achieved ISO 42001 certification. Amazon deprecates 5+ services (WorkMail bonus) ACCURATE (no bonus) 19 services are mothballed, four are being sunset, and one is end of its supported life. Deprecated services include CodeCommit, Cloud9, S3 Select, CloudSearch, SimpleDB, Forecast, Data Pipeline, QLDB, Snowball Edge, and more. WorkMail NOT deprecated &#8211; WorkDocs was (April 2025), but WorkMail remains active. Matthew Score: 3/3 03:22 JONATHAN&#8217;S PREDICTIONS Prediction Status Notes Company claims AGI achieved ACC

Welcome to episode 335 of The Cloud Pod, where the forecast is always cloudy! This pre-Christmas week, Ryan and Justin have hit the studio to bring you the final show of 2025. We’ve got lots of AI images, EKS Network Policies, Gemini 3, and even some Disney drama. Let’s get into it! Titles we almost went with this week From Roomba to Tomb-ba: How the Robot Vacuum Pioneer Got Cleaned Out **OpenAI From Napkin Sketch to Production: Google&#8217;s App Design Center Goes GA Terraform Gets a Canvas: Google Paints Infrastructure Design with AI Mickey Mouse Takes Off the Gloves: Disney vs Google AI Showdown From Data Silos to Data Solos: Google Conducts the Integration Orchestra No More Thread Dread: AWS Brings AI to JVM Performance Troubleshooting MCP: More Corporate Plumbing Than You Think GPT-5.2 Beats Humans at Work Tasks, Still Can&#8217;t Get You Out of Monday Meetings Kerberos More Like Kerbero-Less: Microsoft Axes Ancient Encryption Standard OpenAI Teaches GPT-5.2 to PowerPoint: Death by Bullet Points Now AI-Generated MCP: Like USB-C, But Everyone&#8217;s Keeping Theirs in the Drawer Flash Gordon: Google&#8217;s Gemini 3 Gets a Speed Boost Without the Sacrifice Tag, You&#8217;re It: AWS Finally Knows Who to Bill Snowflake Gets a GPT-5.2 Upgrade: Now With More Intelligence Per Query OpenAI and Snowflake: Making Data Warehouses Smarter Than Your Average Analyst GPT-5.2 Moves Into the Snowflake: No Melting Required AI Is Going Great, or How ML Makes Money 01:06 Meta&#8217;s multibillion-dollar AI strategy overhaul creates culture clash: Meta is developing Avocado, a new frontier AI model codenamed to succeed Llama, now expected to launch in Q1 2026 after internal delays related to training performance testing. The model may be proprietary rather than open source, marking a significant shift from Meta&#8217;s previous strategy of freely distributing Llama&#8217;s weights and architecture to developers. We feel like this is an interesting choice for Meta, but what do we know? Meta spent 14.3 billion dollars in June 2025 to hire Scale AI founder Alexandr Wang as Chief AI Officer and acquire a stake in Scale, while raising 2026 capital expenditure guidance to 70-72 billion dollars. Wang now leads the elite TBD Lab developing Avocado, operating separately from traditional Meta teams and not using the company&#8217;s internal workplace network. The company has restructured its AI leadership following the poor reception of Llama 4 in April, with Chief Product Officer Chris Cox no longer overseeing the GenAI unit. Meta cut 600 jobs in Meta Superintelligence Labs in October, contributing to the departure of Chief AI Scientist Yann LeCun to launch a startup, while implementing 70-hour workweeks across AI organizations. Meta&#8217;s new AI leadership under Wang and former GitHub CEO Nat Friedman has introduced a &#8220;demo, don&#8217;t memo&#8221; development approach, replacing traditional multi-step approval processes with rapid prototyping using AI

Welcome to episode 334 of The Cloud Pod, where the forecast is always cloudy! This week, we’re bringing you a jam-packed recap of re:Invent! We’ve got all the news, from keynotes to announcements. Whether you were there live or catching up on all the news, Justin, Matt, and Ryan are here to break it all down. Let’s get started! Titles we almost went with this week EKS Gets Chatty: Natural Language Replaces Command Line Nightmares Harvest Now, Decrypt Later: Why Your RSA Keys Need a Quantum Makeover Before 2026 NAT So Fast: AWS Helps You Find Gateways Doing Absolutely Nothing AWS Finally Admits You Have Too Many Log Buckets AWS Finally Lets You Log In Like a Normal Human Lambda Gets a Memory: Checkpoint Your Way to Multi-Step Workflows Step Functions at Home: Lambda Durable Functions Let You Write Workflows in Actual Code No More Bucket List: S3 Public Access Gets Organization-Wide Lockdown AWS Hits Ctrl-Z on CodeCommit Deprecation AWS Puts a Cap on CloudFront: Unlimited Traffic, Limited Anxiety AWS Tells SQL Server to Take a Thread Off: Optimize CPU Cuts Costs by 55% Amazon Bedrock Gets a Bouncer: AgentCore Identity Checks IDs at the Door AI Brings on the Developer Renaissance Follow Up 01:27 re:Invent Matt Garman- 14th Reinvent, which is weird, since we’ve been doing cloud stuff for 87 years… Warner &#8211; Open Mind for a different View and nothing else matters T-shirt. 02:59 re:Invent predictions Jonathan Serverless GPU support (extension in Lambda or a different service), it&#8217;s about time we have a serverless GPU/Inference capability. It is talked about in the keynote with DeSantis. AI Agent with a goal/instructions that can run when they need to, periodically, or always, and perform an action (Agentic Platform that runs agents) &#8211; Garman &#8211; Bedrock AgentCore and Kiro Autonomous Agent Werner will announce this is his last keynote and he will retire He retired from re:Invent Presentations Ryan New Tranium 3 chips, Inferentia, and Graviton chips Garman &#8211; announced Tranium 3 Ultraservers. They brought the Rack Ryan Expand the number of models in or via bedrock Doubled the number of models and announced Gemma, Minimax M2, Nvidia Nemotron, Mistral Large, and Mistral 3 Refresh to AWS Organizations Justin New Nova Model &amp; Sonic with Multi-modal <li d