Podcast
The Cloud Pod | Weekly AI & Cloud News on AWS, Azure & GCP
Hosted by Justin Brodley, Jonathan Baker, Ryan Lucas and Matt Kohn | Cloud Computing & AI News · EN
The Cloud Pod delivers weekly cloud computing and AI news for engineers, architects, and technology leaders. Join Justin Brodley, Jonathan Baker, Ryan Lucas, and Matt Kohn as they break down the latest from AWS, Azure, and Google Cloud — covering new services, platform updates, FinOps strategies, and the AI innovations reshaping the industry. Stay ahead of the cloud landscape with one of the longest-running cloud computing podcasts available.
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336: We Were Right (Mostly), 2026: The New Prophecies
Jan 1301:08:15Tap to summarizeWelcome 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 ‘100%’ **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’s Not You, It’s CSPM Spot On: ECS Finally Manages Your Cheapest Compute TOON Squad: DigitalOcean’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’s AI Finally Remembers Where It Put Its Keys Ctrl+F for the Future: A year-end Scorecard & 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 Follow Up 01:27 RYAN’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’s Blackwell 6000 GPUs in 17 cities. AWS IoT Greengrass with Lambda functions for edge logic. “Edge AI allows for instant decision-making where it matters most—close to the data source.” Cloud native security mesh multi-cloud UNCLEAR Service mesh technologies continue to evolve (Istio, Linkerd), but I didn’t find a breakthrough “app-to-app at the edge” security mesh product announcement in 2025. This one needs more specific evidence. Ryan Score: 2/3 02:25 MATTHEW’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 – WorkDocs was (April 2025), but WorkMail remains active. Matthew Score: 3/3 03:22 JONATHAN’S PREDICTIONS Prediction Status Notes Company claims AGI achieved ACCURATE Integral AI, founded by ex-Google veteran Jad Tarifi, claims to have built a world-first AGI model (December 2025). Also, Sam Altman called GPT-5 “a significant step along the path to AGI” at release. AI agents booking reservations/real-world tasks FULLY ACCURATE OpenAI’s Operator can execute tasks like filling out forms, managing online reservations, and even booking tickets to sporting events. Google AI Mode’s agentic capabilities help take the hassle out of booking restaurant reservations, event tickets, or beauty and wellness appointments. Models that can learn in real-time PARTIALLY ACCURATE Extended context windows and memory systems have improved dramatically. Claude 4 has “memory capabilities, extracting and saving key facts to maintain continuity.” However, true real-time learning/weight updates during conversations haven’t fully materialized yet. Jonathan Score: 2.5/3 05:07 JUSTIN’S PREDICTIONS Prediction Status Notes GPT-5, Claude 4, and Gemini 3.0 FULLY ACCURATE GPT-5 (August 7, 2025), Claude 4 (May 22, 2025), Gemini 3 (November 18, 2025). All three major models have been released! Plus, we’ve already seen GPT-5.1, GPT-5.2, and Claude Opus 4.5. OpenAI is not seen as a leader ACCURATE ChatGPT’s user growth is slowing, and Google’s Gemini is gaining ground. Anthropic now holds 32% of the enterprise LLM market share by usage, with OpenAI at 25%—a sharp reversal from 50% vs. 12% in 2023. Sam Altman issued a “code red” memo following the release of Gemini 3. 10+ companies RTO 5 days after Q2 PARTIALLY ACCURATE Major announcements after Q2: Novo Nordisk, Paramount Skydance, NBCUniversal, Instagram, Starbucks, Samsung, Freddie Mac. Many 5-day mandates took effect in 2025 (Amazon, AT&T, JPMorgan, Dell), but several were announced pre-Q2. Close call. Justin Score: 2.5/3 JONATHAN’S PREDICTIONS Prediction Status Notes Company claims AGI achieved ACCURATE Integral AI, founded by ex-Google veteran Jad Tarifi, claims to have built a world-first AGI model (December 2025). Also, Sam Altman called GPT-5 “a significant step along the path to AGI” at release. AI agents booking reservations/real-world tasks FULLY ACCURATE OpenAI’s Operator can execute tasks like filling out forms, managing online reservations, and even booking tickets to sporting events. Google AI Mode’s agentic capabilities help take the hassle out of booking restaurant reservations, event tickets, or beauty and wellness appointments. Models that can learn in real-time PARTIALLY ACCURATE Extended context windows and memory systems have improved dramatically. Claude 4 has “memory capabilities, extracting and saving key facts to maintain continuity.” However, true real-time learning/weight updates during conversations haven’t fully materialized yet. Jonathan Score: 2.5/3 FINAL STANDINGS Host Score Grade Matthew 3/3 A+ Justin 2.5/3 A Jonathan 2.5/3 A Ryan 2/3 B+ Key Takeaways for the Pod The AI model predictions were NAILED – All three major model releases happened exactly as predicted. OpenAI’s dominance really did slip – Anthropic now leads enterprise, Gemini is surging, Sam issued “code red.” AI agents are HERE – OpenAI Operator and Google AI Mode are booking real reservations. AWS deprecation wave was massive – Way more than 5 services axed (but WorkMail survived!) Edge AI exploded – Akamai, AWS, and others went all-in on inference at the edge.e Solid predictions all around – Matthew takes the crown! 06:08 Jonathan – “That’s good; it only took us 6 years to know what the hell we’re talking about!” 06:23 2025 Stats Review We covered 1,308 stories from 15 different, unique sources. Amazon accounted for 39% of those stories. Ryan’s favorite, Azure, made up 22.9% of the stories (Thanks, Matt…) GCP was 38.1% of our news announcements. The official blogs from cloud providers, including AWS, Azure, and GCP, made up the bulk of the sources for the above stories. This is an interesting change from the first year we recorded, 2019, when AWS accounted for 73% of the announcements. When it comes to host participation, only 6 shows had all four hosts participating. Justin was present for 95%, Ryan for 85%, Matt recorded 78% (not bad with a new baby, honestly), and we had Jonathan for 12 episodes. We only had one guest, and increasing the number of guests is one of our 2026 resolutions, so thanks to Elise for joining us. AI was mentioned 526 times, averaging 12.2x per episode (which seems low to the show note editor), and has definitely been growing each year exponentially. Outages were discussed 19 times (boooo). And we got to talk about our favorite topic, deep-sea cables, 5 times. There were 58.9 hours of runtime over the course of 49 shows, with an average length of 72 minutes. The in memorium includes AWS Cloud Search, Glacier, Migration Hub, S3 Object Lamb...
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335: EKS Network Policies: Now With More Layers Than Your Security Team’s Org Chart
Dec 2400:50:41Tap to summarizeWelcome 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’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’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’s Keeping Theirs in the Drawer Flash Gordon: Google’s Gemini 3 Gets a Speed Boost Without the Sacrifice Tag, You’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’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’s previous strategy of freely distributing Llama’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’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’s new AI leadership under Wang and former GitHub CEO Nat Friedman has introduced a “demo, don’t memo” development approach, replacing traditional multi-step approval processes with rapid prototyping using AI agents and newer tools. The company is also leveraging third-party cloud services from CoreWeave and Oracle while building the 27 billion dollar Hyperion data center in Louisiana. Meta’s Vibes AI video product, launched in September, trails OpenAI’s Sora 2 in downloads, and was criticized for lacking features like realistic lip-synced audio, while the company increasingly relies on external AI models from Black Forest Labs and Midjourney rather than exclusively using internal technology. 02:23 Ryan – “I guess I really don’t understand the business of the AI models. I guess if you’re going to offer a chat service, you have to have a proprietary model, but it’s kind of strange.” 03:04 Disney says Google AI infringes copyright “on a massive scale” – Ars Technica Disney has issued a cease and desist letter to Google alleging copyright infringement through its generative AI models, claiming Google trained its systems on Disney’s copyrighted content without authorization and now enables users to generate Disney-owned characters like those from The Lion King, Deadpool, and Star Wars. This represents one of the first major legal challenges from a content owner with substantial legal resources against a cloud AI provider. The legal notice targets two specific violations: Google’s use of Disney’s copyrighted works in training data for its image and video generation models, and the distribution of Disney character reproductions to end users through AI-generated outputs. Disney demands the immediate cessation of using its content and the implementation of safeguards to prevent the future generation of Disney-owned intellectual property. This case could establish important precedents for how cloud providers handle copyrighted training data and implement content filtering in AI services. The outcome may force cloud AI platforms to develop more sophisticated copyright detection systems or negotiate licensing agreements with content owners before deploying generative models. Disney’s involvement brings considerable legal firepower to the AI copyright debate, as the company has historically shaped US copyright law through decades of litigation to protect its intellectual property. Cloud providers offering generative AI services may need to reassess their training data sources and output filtering mechanisms to avoid similar legal challenges from other major content owners. 04:06 Ryan – “Disney – suing for copyright infringement – shocking.” 04:54 Disney invests $1 billion in OpenAI, licenses 200 characters for AI video app Sora – Ars Technica Disney invests $1 billion in OpenAI and licenses over 200 characters from Disney, Marvel, Pixar, and Star Wars franchises for use in Sora video generator. This marks the first major Hollywood studio content licensing deal for OpenAI’s AI video platform, which launched in late September and faced industry criticism over copyright concerns. The three-year licensing agreement allows Sora users to create short video clips featuring licensed Disney characters, representing a shift from OpenAI’s previous approach of training models on copyrighted material without permission. This deal is notable given Disney’s history of aggressive copyright protection and lobbying that shaped modern US copyright law in the 1990s. OpenAI has been pursuing content licensing deals with major IP holders after facing multiple lawsuits over unauthorized use of copyrighted training data. The company previously argued that useful AI models cannot be created without copyrighted material, but has shifted strategy since becoming well-funded through investments. The partnership aims to extend Disney’s storytelling reach through generative AI while addressing creator concerns about unauthorized use of intellectual property. Disney CEO Robert Iger emphasized the company’s commitment to respecting and protecting creators’ works while leveraging AI technology for conte...
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334: AWS Makes Kubernetes Conversational
Dec 1901:28:07Tap to summarizeWelcome 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 – 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’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) – Garman – 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 – 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 & Sonic with Multi-modal Garman Nova 2 – Lite, Pro, and Sonic (the lack of Sonic the Hedgehog/Sega reference is a shame) Nova 2 Omni Announce a partnership with OpenAI (likely on stage) Not announced as new, but said they’re running on AWS and that EC2 Ultraservers are in use. Advanced Agentic AI Capabilities for Security Hub (Automate the SOC teams) Garman – Advanced Agentic AI Capabilities for Security Hub – with NEW AWS Security Agent Matt A model router to route LLM queries to different AI models Well-architected framework expansion End user Authentication that doesn’t suck (not current Cognito) Tie Breaker – How many times will they say AI or Artificial Intelligence Matt: 200 Justin: 160 Ryan: 99 Jonathan: 1 Matt Garman’s Keynote: 77 DeSantis’ Keynote: 31 Swami: 44 Werner: 31 Total: 183 This means Justin wins this year! 10:05 Honorable Mentions: Mathematical Proof that one of Amazon’s Models has output that can be verifiable with math Marketplace for AI Work New Device to go along with the Nova Models Cost Savings for Networking FinOps AI recommender for Model Usage Savings Plans for AI/Bedrock Models S3 Vectors with integration bedrock FinOps Kubernetes Service Q Developer with Autonomous Agents Next Generation Silicone for a combined TPU competitor, ie GPU/Graviton/Learning Bedrock Model Marketplace with Revenue Share for fine-tuned models (Ryan) Sustainability Dashboard Aurora/DSQL is an AI feature AWS 11:59 re:Invent keynote Recap Matt – started the weekend strong, although we struggled with his keynotes. (Sounds like he could use a good copywriter to help with his speeches.) Swami – Solid B from us, but that’s because we’re not super interested in his topics. Sorry. Peter – we enjoyed this one more. Cool tech, lots of mentions, and one of the better presenters. A for him. Werner – Great Intro Video. Welcome to the Renaissance Coder 15:00 A Quick Recap Look. We know you care about non-AI things (and so do we), so we’re going to do 25 exciting new announcements in 10 minutes. x8, elon instance, c8a, c8ine instances, m8azn, m3 and m4 max macs, lambda durable functions, 50tb s3 object, s3 batch ops 10x faster, intelligent tiering for s3 tables, automatic replication for s3 tables, s3 access points for FSX netapp, S3 Vectors, GPU Index for Amazon Opensearch, Amazon EMR Serverless with no storage provisioning, Guardduty to ECS & Ec2, Security Hub is GA, Unified data store in cloudwatch, Increases STorage for SQL and Oracle RDS, Optimize CPus for RDS for SQL server, SQL Server Development support, Database Savings Plans. 2 hours on AI…when we would have been really happy with all of THIS as the keynote. 26:08 AI/ML & Amazon Bedrock Bedrock Service Tiers (Priority/Standard/Flex) – Match AI workload performance with cost Bedrock Reserved Service Tier – Pre-purchase guaranteed tokens-per-minute capacity with 99.5% SLA Bedrock AgentCore – Policy controls, evaluations, episodic memory for AI agents <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/reinforcement-fine-tuning.html" target="_blank" rel...
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290: Open AI to Operator: There is a DeepSeek Outside the Door
Feb 7, 202501:10:12Tap to summarizeWelcome to episode 290 of The Cloud Pod – where the forecast is always cloudy! It’s a full house this week – and a good thing too, since there’s a lot of news! Justin, Jonathan, Ryan, and Matthew are all in the house to bring you news on DeepSeek, OpenVox, CloudWatch, and more. Titles we almost went with this week: The cloud pod wonders if azure is still hung over from new years Stratoshark sends the Cloud pod to the stratosphere Cutting-Edge Chinese “Reasoning” Model Rivals OpenAI… and it’s FREE?! Wireshark turns 27, Cloud Pod Hosts feel old Operator: DeepSeek is here to kill OpenAI Time for a deepthink on buying all that Nvidia stock AWS Token Service finally goes cloud native The CloudPod wonders if OpenAI’s Operator can order its own $200 subscription A big thanks to this week’s sponsor: We’re sponsorless! Want to get your brand, company, or service in front of a very enthusiastic group of cloud news seekers? You’ve come to the right place! Send us an email or hit us up on our slack channel for more info. AI IS Going Great – Or How ML Makes All Its Money 01:29 Introducing the GenAI Platform: Simplifying AI Development for All If you’re struggling to find that AI GPU capacity, Digital Ocean is pleased to announce their DigitalOcean GenAI Platform is now available to everyone. The platform aims to democratize AI development, empowering everyone – from solo developers to large teams – to leverage the transformative potential of generative AI. On the Gen AI platform you can: Build Scalable AI Agents Seamlessly integrate with workflows Leverage guardrails Optimize Efficiency. Some of the use cases they are highlighting are chatbots, e-commerce assistance, support automation, business insights, AI-Driven CRMs, Personalized Learning and interactive tools. 02:23 Jonathan – “Inference cost is really the big driver there. So once you once you build something that’s that’s done, but it’s nice to see somebody focusing on delivering it as a service rather than, you know, a $50 an hour compute for training models. This is right where they need to be.” 04:21 OpenAI: Introducing Operator We have thoughts about the name of this service… OpenAI is releasing the preview version of their agent that can use a web browser to perform tasks for you. The new version is available to OpenAI pro users. OpenAI says it’s currently a research preview, meaning it has limitations and will evolve based on your feedback. Operator can handle various browser tasks such as filling out forms, ordering groceries, and even creating memes. The ability to use the same interfaces and tools that humans interact with on a daily basis broadens the utility of AI, helping people save time on everyday tasks while opening up a new engagement opportunity for business Operator is powered by a new model called Computer-Using Agent (CUA). Combining GPT-4o’s vision capabilities with advanced reasoning through reinforcement learning, CUA is trained to interact with a GUI Justin was going to try it, but he forgot that the Pro plan is $200 dollars a month – so our listeners have to wait on his review of that one. 06:52 Jonathan – “I like Operator. What I really like to see though is I don’t want to have to have it open in the browser. I don’t want to watch it doing its work.” 08:09 Cutting-edge Chinese “reasoning” model rivals OpenAI o1—and it’s free to download DeepSeek panic triggers tech stock sell-off as Chinese AI tops App Store There’s a lot of jokes here, but we’re going to keep it professional – you’re welcome or we’re sorry, depending on your maturity level. DeepSeek has turned the AI world upside down over the last week. Last week, Chinese AI lab DeepSeek released its new R1 model family under an open MIT License, with its largest version containing 671 billion parameters. The company is claiming that the model performs at the levels comparable to OpenAI’s o1 simulated reasoning model on several math and coding benchmarks. In addition to the main deepseek-r1-main and deepseek-r1 models, they released 6 smaller distilled versions ranging from 1.6 billion to 70 billion parameters. These distilled models are based on existing open source architectures like Qwen and Llama, trained using data generated from the full R1 model. The smallest version can run on a laptop, while the full model requires far more substantial computing resources. This stunned the AI market, as most open-weight models which can often be run and fine-tuned on local hardware, have lagged behind proprietary models like OpenAI o1 in so called reasoning-benchmarks. Having these capabilities available in a MIT licensed model that anyone can study, modify or use commercially potentially marks a shift in what’s possible with a public model. The stock market panicked in response, with companies like Nvidia down 17% percent on Monday this week – based on the fact that DeepSeek jumped to the top of the app store free downloads, and the fact its low-cost and freely available. The three things that have investors and researchers shocked: The Chinese startup that trained the model for only $6 million (reportedly 3% of the cost of training Open AI o1) as a so-called “side-project” while using less powerful NVIDIA H800 AI acceleration ships due to US export restrictions on cutting-edge GPU. It appeared just four months after OpenAI announced o1 in September 2024. Released them under MIT license. This led investors to see that American Tech companies – which have thrived on proprietary and closed models, have “no moat,” which means that any technological lead led by cutting-edge hardware or impressive bankrolls doesn’t protect them from startup challenges. The question is it really any good, and can they scale to continue to maintain this with limited access to future GPUs. 10:57 Ryan – “The impact the story has had this week has been a roller coaster. Like, and I don’t know if that’s just because I’ve been busy and sort of half paying attention. And, now, it wasn’t really until we were preparing for the show that I really dove in to figure out what, what this was after seeing it. Like, you know, first it was like a Chinese app taking over the phones. I thought it was security concerns and all this stuff, especially with all the Tik Tok stuff that’s going on. And then to find out it wa...
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289: DORA The Explorer… Of EU Regulations
Feb 1, 202500:51:37Tap to summarizeWelcome to episode 289 of The Cloud Pod – where the forecast is always cloudy! Justin, Ryan, and Matt are here this week to bring you a riveting podcast on EU regulations! Are you asleep yet? No? Ok great. We promise it will be a good show – despite the title. Titles we almost went with this week: Stargate: We’re not saying its Aliens, but its $500 Billion AWS: Now with extra sessions EC2 Flex: Bigger, Badder and Probably still expensive SNS FIFO: So fast, it’ll give you whiplash Azure: Now with added Legalese (Thanks, EU) OpenAI’s Stargate: From Chatbots to Interdimensional Travel (maybe) GCP’s Biochar Initiative: Turning Waste into… Well, Less Waste (hopefully) AWS Console Multiple Sessions: So you can prove you dropped those databases from multiple accounts Amazon still adds new features to SNS and the cloud pod is impressed AWS tries to kill chrome profiles A big thanks to this week’s sponsor: We’re sponsorless! Want to get your brand, company, or service in front of a very enthusiastic group of cloud news seekers? You’ve come to the right place! Send us an email or hit us up on our slack channel for more info. AI IS Going Great – Or How ML Makes All Its Money 01:47 Announcing The Stargate Project Open AI announced a joint investment of $500 billion dollars over the next four years building new AI infrastructure for OpenAI in the US, with the intent to deploy $100B immediately. This infrastructure will secure American leadership in AI, create hundreds of thousands of American jobs, and generate massive economic benefits for the entire world. The initial equity funders in stargate are SoftBank, OpenAI, Oracle and MGX. Softbank and OpenAI are the lead partners for Stargate, with Softbank having financial responsibility, and OpenAI having operational responsibility. Arm, Microsoft, Nvidia, Oracle and OpenAI are the key initial technology partners. The buildout is currently underway starting in Texas, and they are evaluating potential sites across the country for more campuses as they finalize definitive agreements. As part of Stargate, Oracle, Nvidia and OpenAI will closely collaborate to build and operate this computing system. This builds on a deep collaboration between OpenAI and NVIDIA going back to 2016, and a newer partnership between OpenAI and Oracle. This also builds on the existing OpenAI partnership with Microsoft. OpenAI will continue to increase its consumption of Azure as OpenAI continues its work with Microsoft with this additional computer to train leading models and deliver great products and services. “All of us look forward to continuing to build and develop AI—and in particular AGI—for the benefit of all of humanity.” This quote TOTALLY didn’t terrify us… Our conversations back in December about OpenAI trying to figure out their ownership model makes a lot more sense now. 07:22 Justin – “…it’s interesting that SoftBank is investing so much money into it considering, you know, the trade issues with China and SoftBank, you know, being mostly Chinese owned and invested in. Yeah. It’s one of the things about SoftBank that’s interesting as well as I didn’t think their funds had done that well after crypto kind of blew up on them in pretty spectacular ways, although it’s back apparently. So yeah, it’s interesting, you know, post inauguration day.” AWS 06:11 The AWS Management Console now supports simultaneous sign-in for multiple AWS accounts AWS is announcing multi-session support, which enables AWS customers to access multiple AWS accounts simultaneously in the AWS Console. You can sign in to up to 5 sessions in a single browser This can be a combination of root, IAM or federated roles in different accounts or the same account. WOW! This is a huge improvement and we’re REALLY excited about this. Tab junkies, rejoice! 07:05 Ryan – “This is the biggest thing they’ve ever announced ever.” 15:27 Introducing new larger sizes on Amazon EC2 Flex instances AWS announced the general availability of two new larger size (12xlarge and 16xlarge) EC2 Flex instances (c7i and m7i variants) This new size expands the EC2 flex portfolio, providing additional compute options to scale up existing workloads or run larger-sized applications that need extra memory. These instances are powered by custom 4th gen Intel Xeon scalable processors, only available on AWS, and offer up to 15% better performance over comparable x86-based intel processors. 17:08 Ryan – “It’s the way that you had to provision memory and CPU and the relationship between the chosen Amazon was the instance type. And now I think if you select this instance type, you can tune those specifically and do a little bit of shaping.” 17:59 AWS CodeBuild now supports test splitting and parallelism You ca...
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288: You Might Be Able to Retrain Notebook LM Hosts to be Less Annoyed, But Not Your Cloud Pod Hosts
Jan 22, 202500:56:25Tap to summarizeWelcome to episode 288 of The Cloud Pod – where the forecast is always cloudy! Justin, Ryan, and Jonathan are your hosts as we make our way through this week’s cloud and AI news, including back to Vertex AI, Project Digits, Notebook LM, and some major improvements to AI image generation. Titles we almost went with this week: Digits… I’ll show you 5 digits… The only digit the AWS local zone in New York shows me is the middle one Keep one eye open near Mercedes with Agentic AI A big thanks to this week’s sponsor: We’re sponsorless! Want to get your brand, company, or service in front of a very enthusiastic group of cloud news seekers? You’ve come to the right place! Send us an email or hit us up on our slack channel for more info. General News 01:59 Nvidia announces $3,000 personal AI supercomputer called Digits If you don’t want to hand over all your money to the cloud providers, you will be able to hand over $3,000 dollars to Nvidia… for a computer that is probably going to be obsolete in <12 months. That’s fun! The new personal AI supercomputer, called Project Digits, will launch in May. The heart of Digits is the new GB10 Grace Blackwell Superchip, which packs enough processing power to run sophisticated AI models, while being compact enough to fit on a desk and run from a standard power outlet. Digits can handle AI models with up to 200 billion parameters, and looks very similar to a Mac Mini. “AI will be mainstream in every application for every industry. With Project Digits, the Grace Blackwell Superchip comes to millions of developers,” Nvidia CEO Jensen Huang said in a press release. “Placing an AI supercomputer on the desks of every data scientist, AI researcher, and student empowers them to engage and shape the age of AI.” The Digits system comes with 128gb of unified coherent memory and up to 4tb of NVME storage. For even more demanding apps, two digit systems can be linked together to handle models with 405b parameters. The GB10 chip delivers up to 1 petaflop of AI performance, meaning it can perform 1 quadrillion AI calculations per second. Suppose you plunk down the money for Digits. In that case, you will also get access to Nvidia’s AI software library, including development kits, orchestration tools and pre-trained models available through the Nvidia NGC catalog. The system runs on a Linux-based NVidia NGC catalog, and supports popular frameworks like PyTorch, Python and Jupyter notebooks. 09:25 Jonathan – ““The Blackwell is pretty recent, it’s the one that had a lot of problems with yield. And I kind of suspect that they’re sort of packaging this up and selling some of the chips which didn’t pass all the tests for the commercial products. And so they’re enabling whatever cores they can in these things to sell to consumers… Having all the memories is really great for the big models. It’s not going to be particularly performant now. I think the spec I saw was like one teraflop at quite low precision – like fb4 precision – which is quite low, and I think it’d be better off if you’re really interested in buying some like 3090s or 5090s or something like that. Obviously you don’t get the memory, but far better performance for the price.” 06:46 Nvidia’s Jensen Huang hints at ‘plans’ for its own desktop CPU It’s long been rumored that Nvidia is planning to break into the consumer CPU market in 2025, and we finally got some insight into those plans. Nvidia CEO Jenen Huagh said there are bigger plans for the arm-based cpu within the GB10 chip introduced in the Digits computer, and is co-developed with Mediatek. Huang told investors that they obviously have plans, and they can’t wait to tell us – or sell us – more. 07:22 Justin – “It’s interesting to see the dominance of Intel fall to the dominance of Nvidia and Nvidia just basically repeating the whole whole set of stuff all over again.” AI Is Going Great – Or, How ML Makes All its Money 08:23 Build RAG and Agent-based AI Apps with Anthropic’s Claude 3.5 Sonnet in Snowflake Cortex AI Snowflake is announcing the GA of Claude 3.5 Sonnet as the first Anthropic Foundation model available in Snowflake Cortex AI. Customers can now access the most intelligent model in the Claude model family from Anthropic using familiar SQL, Python and REST API interfaces, within the Snowflake security perimeter. 16:43 Justin – “that’s actually nice. I didn’t realize that Snowflake was going to be making Claude available. Missed the EA, but glad to see my favorite model is at least available there.” AWS 09:33 AWS Compute Optimizer now expands idle and rightsizing recommendations for Amazon EC2 Auto Scaling groups Computer optimizer will now expand to idle and rightsizing recommendations for ASG’s with scaling policies and multiple instance types. With the new recommendations, you can take actions to optimize cost and performance for these groups without requiring specialized knowledge or engineering resources to analyze them. 09:56 Ryan – “Well, this is long overdue, Because you’ve always had, or for a long time anyway, you’ve had optimizations for standalone EC2 instances. But ASGs have always been ignored. And a huge amount of waste of people that set a minimum scale level for these things. And they’re just sitting there, burning through coal, but not taking any requests. So I’m glad to see these making the list.” 12:37 Announcing the general availability of a new AWS Local Zone in New York City AWS is announcing the GA of AWS Local Zone in New York City, supporting a wide range of workloads, including C7i, R7i, M6i and M6in EC2 instances, EBS volumes and ECS, EKS, ALB and AWS Direct connect, all available in the local zone. 13:42 Why CEO Matt Garman is willing to bet AWS on AI The excellent Decoder podcast with Nilay Patel recently invited Matt Garman on to talk about stepping into the AWS CEO role. Matt hits...
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287: The Cloud Pod Rebrands to The Cloud AI So We Can Get A 1B Valuation
Jan 16, 202500:47:16Tap to summarizeWelcome to episode 287 of The Cloud Pod – where the forecast is always cloudy! 2025 is already shaping up to be another year of “unprecedented” times, but have no fear, Justin, Ryan, Jonathan, and Matthew are all in the house and (mostly) recovered from the holidays – and just in time to bring you all the latest new year news in the cloud world. Titles we almost went with this week: Everyone is investing in AI… but you could invest in the cloud pod Oracle Exadata X11M: Burn a big pile of money The cloud pod has better security than Microsoft – mk The new and improved Cloud Pod 4.0 Cloud Nine… Figures (or $80 billion) $60 Billion and Counting: The Ai Arms Race Oracle Exadata X11M: For When You Absolutely, Positively, Have to Burn Money The Cloud Pod rebrands to The Cloud AI so we can get 11B in funding A big thanks to this week’s sponsor: We’re sponsorless! Want to get your brand, company, or service in front of a very enthusiastic group of cloud news seekers? You’ve come to the right place! Send us an email or hit us up on our slack channel for more info. General News 2:42 Oracle’s rampant cloud growth wasn’t enough for Wall Street, and its stock slides after-hours We missed talking about Oracle’s earnings call on December 9th, since we were in the middle of our re:Invent shows. Apparently, their rapid cloud growth was not sufficient to appease the Wall Street gods., but honestly – what is ever good enough for them? They reported earnings of 1.47 a share, just shy of the 1.48 expected by the analysts. Revenue was up 9% from a year before, at $14.06B below the street’s target of $14.1 Billion. Income was up 26% from prior year, to 3.15B. Revenue from cloud services and license support was up 12% to 10.8 billion. Oracle CEO Safra Catz said growth in the AI segment was nothing short of extraordinary, with 336% growth in GPU unit consumption from the prior year. Despite positive signs, Oracle guidance was soft and this also angered the Wall Street gods. 04:09 Justin – “…now in January, their stock is, up a dollar 11 today, but, looking at the month, they haven’t really recovered from earnings quite yet. So we’ll see how they do as they continue through the year. But, yeah, I mean, tech in general is down. I mean, everything’s down. Everyone’s waiting for the election to, election, the, the soaring in and the new administration to come in as we’re past that.” 04:34 HashiCorp 2024 year in review 2024 was a busy year for Hashicorp, and they wrote up a blog post to point out the highlights. IBM + Hashicorp signed an agreement to be acquired by Big Blue. With IBM, they believe they can bring modern infrastructure and security practices to an even greater number of organizations around the world, and they are excited for the possibilities. Terraform got numerous updates including: Terraform Stacks Module Lifecycle Management to simplify day 2 Terraform Migrate for HCP Terraform adoption Test-integrated module published Ephemeral Values Config-driven state updates for refactoring and importing resources Pre-written sentinel policy library co-developed with AWS Packer 1.11 New plugin loading process Packer and plugin version tracking CI/CD Pipeline metadata Nomad got significant upgrades this year Nomad Bench for load testing and benchmarking Nomad NVIDIA device driver added support Enhancements for GPU scheduling and resource quotas Exec2 task driver Libvirt task driver beta for improved virtual machine support Vault Secrets Sync Autorotation and dynamic secrets WIF Support Vault Secrets Operator for K8 HCP Vault Radar (New product) Scans your digital estate for unmanaged secrets and PII Consul Transparent proxy for ECS Consul DNS views for K8 Registration CRD for Consul for K8 06:28 Ryan- “I was as surprised as you are with the Nomad news. But then I was thinking about it and it’s just like, there isn’t the greatest ...
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286: I Can Sum Up 2024 – AI AI AI AI and uhh… ML
Jan 2, 202500:59:39Tap to summarizeWelcome to episode 286 of The Cloud Pod – where the forecast is always cloudy! Welcome to the final show of 2024! We thank you for joining us on our cloud journey over the past year. During this last show of the year, we look back on all the tech that changed our jobs and lives, and make predictions for an AI filled 2025. Join Justin, Jonathan, Ryan, and Matthew as they look forward to even more discussions about undersea cables. Happy New Year! Titles we almost went with this week: We thought 2024 would never end I can sum up 2024 – AI AI AI AI and uhh AI AI has taken over the Cloud Pod – we are not really here 2024 the year we hoped AI would replace us… close but not yet A big thanks to this week’s sponsor: We’re sponsorless! Want to get your brand, company, or service in front of a very enthusiastic group of cloud news seekers? You’ve come to the right place! Send us an email or hit us up on our slack channel for more info. General News 00:31 2024 Predictions Look Back Matt Simpler and Easier to access LLM with new services Kubernetes will become simpler for smaller companies to operate that doesn’t require Highly Paid Devops/Scientists Low Employee Churn Rates and increased Tenure (Quiet Quitting) 02:07 Matthew – “How is it simpler and easier? I think that there are more ways to run it. The general public has an easier way to access it. And they are simpler as Justin said that they are becoming easier and more efficient and better to use for the average user. So I know that I talked to many people that I work with now and just in general and people that are not in tech, which I feel like a year ago.” Jonathan There will be mass layoffs in tech directly attributed to AI in Q1 2024 (10k or more) Someone will start a cult that follows an AI LLM God believing in sentience, a higher power. AI will find a new home in education. Lesson Plans, Personalized Learning plans by students, etc. 02:07 Jonathan – “Well, there is a religion called the First Church of Artificial Intelligence, but it’s been around for longer than this year. I think it’s like five, six years old at this point. So that’s kind of cheating. Ryan Start seeing the financial impact of AI to better profitability by using AI. AI Solution tied towards new employee onboarding (replace wiki technology) Removal of stateful firewalls as traffic ruleset (next-gen next-gen firewall) 02:07 Ryan – “I mean, agentic AI is something that’s been rolled out in a lot of companies. I know in my day job, it’s been rolled out. I hope to see this get even stronger and more obvious just because I think that, you know, the days of searching through thousands of documents or the one, you know, unmaintained team page that someone built three years ago when they were new are over. And so I’d like to see this continue. Justin LLM will hit the trough of disillusionment either on Cost, Environmental impact or people realizing how limited these models are Another AI model other than Transformer based We will see another large defector from Public Cloud (not 37 Signals or X/Twitter) 13:26 Justin – “I feel partially vindicated that I was sort of right, just I thought we didn’t be in the trough a little faster, but maybe it’s coming still. I don’t know. they’re innovating pretty quickly. I don’t think they’ll get there, but definitely environmental is going to become a big, big conversation around AI.” 17:02 Favorite Story of 2024 Did you remember that Gemini wasn’t a thing in 2023? It feels like it’s been around forever. 2024 saw some serious jumps forward in tech and innovation, as well as a lot of quality of life improvements overall. But here’s a quick rundown of our favorite articles from the past year: Ryan Introduction of RAG into the AI models https://aws.amazon.com/blogs/aws/knowledge-bases-for-amazon-bedrock-now-supports-amazon-aurora-postgresql-and-cohere-embedding-models/ Matthew https://aws.amazon.com/about-aws/whats-new/2024/11/amazon-cloudfront-vpc-origins/ Jonathan Open AI Sam Altman Drama Justin Announcing Humboldt, the first cable route between South America and Asia-Pacific Other 2024 things of note: Call chat gpt https://blog.google/technology/google-deepmind/google-deepmind-demis-hassabis-john-jumper-nobel-prize-chemistry-alphafold/ Finops FOCUS Terraform fork OpenTofu launches into general availability Broadcom ditches VMware Cloud Service Providers Azure Elastic SAN is now generally available Hello GPT-4o Introducing Amazon GuardDuty Malware Protection for Amazon S3 Amazon decision to deprioritize 7 cloud services caught customers and even some salespeople by surprise https://www.powermag.com/aws-acquiring-data-center-campus-powered-by-nuclear-energy/ https://cloud.google.com/blog/products/databases/announcing-memorystore-for-valkey Elastic pools for Azure SQL Database Hyperscale now Generally Available! Database watcher (Preview) https://aws.amazon.com/about-aws/whats-new/2024/08/amazon-s3-conditional-writes/ Flex consumption webapp (https://techcommunity.microsoft.com/blog/appsonazureblog/announcing-azure-functions-flex-consumption-sign-up-for-the-early-access-preview/3983621) Enhance your security capabilities with Azure Bastion Premium AWS Cost Allocation Tags now support retroactive application General Availability: Automatic Scaling for App Service Web Apps Microsoft said it lost weeks of security logs for its customers’ cloud products 32:11 2025 Predictions Ryan Someone will come up with the ability to quickly provide an LLM model for individuals. AI will go to the edge of the computing layer, in a more native edge stack of some kind. In a native way (Lambda on the edge-esque but AI.) Cloud native security mesh for multi-cloud hybrid environments. App to App at t...
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285: 6 years of cloud news… and we’re still talking about FPGAs and PowerPC
Dec 27, 202400:57:55Tap to summarizeWelcome to episode 285 of the Explain it to me Like I’m 5 Podcast, formerly known as The Cloud Pod – where the forecast is always cloudy! We’ve got a lot of news this week, including the last of our coverage from re:Invent, ChatGTP Pro, FPGA, and even some major staffing turnovers. Titles we almost went with this week: Throw $200 dollars in a fire with ChatGPT Pro Jeff Barr is wrapped up by Agentic AI The Tribble with Trilliums The Wind in the Quantum Willows Rise of the dead instances FPGA and PowerPC Jeff Barr is replaced by Nova The Cloud Pod: Return of the dead instances types After 6 year Jeff Barr hands over the reigns to the CloudPod For our 6th birthday Jeff barr Retires For our 6th birthday jeff barr delegates announcements to the cloud pod 6 years of meaningless PR drivel 6 years of cloud news and we still don’t know what Quantum computing is A big thanks to this week’s sponsor: We’re sponsorless! Want to get your brand, company, or service in front of a very enthusiastic group of cloud news seekers? You’ve come to the right place! Send us an email or hit us up on our slack channel for more info. General News HAPPY 6th BIRTHDAY! 2:00 HashiCorp at re:Invent 2024: Security Lifecycle Management with AWS Hashi is a big sponsor of re:Invent, so of course they had some news of their own to release. HCP Vault Secrets auto-rotation is now generally available. Dynamic secrets are generally available via HCP Vault Secrets. Secrets sync will help keep your secrets synced with AWS Secrets Manager. It still appears to be one direction, but you can now also view secrets in AWS Secrets Manager that are managed by vault. HCP Vault Radar, now in beta, automates the detection and identification of unmanaged secrets in your code, including AWS infrastructure configurations 03:10 Matthew – “This qualifies under the category of things that I feel like we talked about so long ago, I just already assumed was GA. I’m surprised that it wasn’t.” 03:34 HashiCorp at re:Invent 2024: Infrastructure Lifecycle Management with AWS Terraform AWS provider is now at 3 billion downloads. The AWS Cloud Control Provider is also now generally available with the 1.0 release. This is the provider built around AWS Cloud Control API to bring new services to Hashicorp Terraform faster. In June, AWS and Hashi partnered to co-develop a comprehensive set of terraform policies in compliance with standards like CIS, HIPAA, FINOS and the AWS Well-Architected Framework. In beta now, pre-written sentinel policy sets for AWS available via the Terraform Registry. Supported services include: EC2, KMS, Cloudtrail, S3, IAm, VPC, RDS, EFS Terraform Stacks are now in public beta to simplify infrastructure provisioning and management at scale. When deploying and managing infrastructure at scale, teams usually need to provision the same infrastructure multiple times with different input values, across multiple cloud provider accounts, regions and environments and landing zones. Before stacks, there was no built-in way to provision and manage the lifecycle of these instances as a single unit in Terraform, making it difficult to manage each infrastructure root module individually. 05:43 Ryan – “I’m a big fan of doing policy evaluation at, you know, Terraform and VolkTime just to get that feedback directly to whoever’s executing that Terraform, rather than have it be a security ticket later or just blocked by permissions. I feel like it’s very good feedback. So having pre-built policies makes life easy, because developing those policies isn’t exactly fun, but that’s super cool.” 08:14 Terraform 1.10 improves handling secrets in state with ephemeral values Terraform 1.10 is now generally available, with several new features, including: Handling secrets. Ephemeral Values to enable secure handling of secrets. Before secrets get persisted in the plan or state file. Since the secrets are stored in plaintext within these artifacts, any mismanaged access to the file would compromise the secrets. To address this, ephemeral values. These values are not stored in any artifact. Not the plan file or the statefile. They are not expected to remain consistent from plan to apply, or from one plan/apply round to the next. Ephemeral supports marking input and output variables as ephemeral. Within ephemeral blocks, which declare that something needs to be created or fetched separately for each terraform phase, then used to configure some other ephemeral object, and then explicitly closed before the end of the phase. 09:22 Ryan – “I’ve had to battle this with security teams who are looking at, you know, approving Terraform enterprise. I’ve had people pull secrets out of the state file and then use them inappropriately. This is a great feature to see. So pretty psyched about it.” 09:49 Intel CEO Gelsinger forced out after board lost confidence in turnaround plan. Interestingly on stage at AWS, they made the claim that 50% of new CPU capacity was on AWS Graviton. Note great for Intel. CEO Pat Gelsinger has been forced out of Intel after 4 years, handing control to two lieutenants as they search for a successor. Reports are that he left after a board meeting where the directors felt his plan was too costly and ambitious to turn Intel around – efforts so far weren’t working, and the progress of change wasn’t fast enough. Because yeah replacing the top guy is a sure fire way to ...
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284: Amazon Q uses machine learning to get smarter, but Bond’s Q can turn a wristwatch into a laser beam. Your move, AI.
Dec 19, 202401:03:19Tap to summarizeWelcome to episode 284 of The Cloud Pod – where the forecast is always cloudy! Everybody is in the house this week, and it’s a good thing because since we’ve last recorded re:Invent happened, and we have a LOT to talk about. So let’s jump right in! Titles we almost went with this week: Amazon Steals from Azure…. We Are Doomed The Cloud Pod Can Now Throw Away a lot of Code The Cloud Pod Controls the Future The Cloud Pod Observes More Insights We Are Simplicity X None of the Above Stop Trying to Make Bedrock & Q Happen My Head Went SuperNova over all the Q Announcements These are Not the Gadgets Bond Needed, Q! A big thanks to this week’s sponsor: We’re sponsorless! Want to get your brand, company, or service in front of a very enthusiastic group of cloud news seekers? You’ve come to the right place! Send us an email or hit us up on our slack channel for more info. AWS 08:12 It’s the re:Invent recap! Did you make any announcement predictions? Let’s see how our hosts’ predictions stacked up to reality. Matt – 1 Large Green Computing Reinvent LLM at the Edge Something new on S3 Ryan (AI) – 1 Improved serverless observability tools Expansion of AI Driven workflows in datalakes Greater Focus on Multi-Account or Multi-region orchestration, centralized compliance management, or enhanced security services Jonathan – 0 New Edge Computing Capabilities better global application deployment type features. (Cloudflare competitor maybe) New automated cost optimization tools Automated RAG/vector to S3 Justin – 2 Managed Backstage or platform like service New LLM multi-modal replacement or upgrade to Titan Competitor VM offering to Broadcom Honorable Mentions: Jonathan: Deeper integration between serverless and container services New region Enhanced Observability with AI driven debugging tool Justin: Multicloud management – in a bigger way (Anthos competitor) Agentic AI toolings New ARM graviton chip How many will AI or Artificial Intelligence be said: 45 Justin – 35 Jonathan – 72 Pre:Invent There were over 180 announcements, and yes – we have them all listed here for you. You’re welcome. 17:12 Time-based snapshot copy for Amazon EBS Now you can specify a desired completion duration, from 15 minutes to 48 hours when you copy an Amazon EBS snapshot within or between Amazon regions or accounts. This will allow you to meet your time-based compliance and business requirements for critical workloads, mostly around DR capabilities. We’re just glad to see this one finally, because having it built in directly to the console to guarantee that EBS snapshots make it to the other region is a big quality of life enhancement. Announcing future-dated Amazon EC2 On-Demand Capacity Reservations Introducing a new experience for AWS Systems Manager Introducing new capabilities to AWS CloudTrail Lake to enhance your cloud visibility and investigations Improve your app authentication workflow with new Amazon Cognito features Track performance of serverless applications built using AWS Lambda with Application Signals Announcing a visual update to the AWS Management Console (preview) Introducing Amazon CloudFront VPC origins: Enhanced security and streamlined operations for your applications Amazon CloudFront now accepts your applications’ gRPC calls 20:50 Amazon and Anthropic deepen strategic collaboration Amazon and Anthropic deepened their strategic collaboration with another $4 billion investment from Amazon to also use their Neutronium chips, which came up later on Mainstage at Monday Night Live and as well as on Matt’s presentation. Introducing Amazon GuardDuty Extended Threat Detection: AI/ML attack sequence identification for enhanced cloud security Container Insights with enhanced observability now available in Amazon ECS AWS Clean Rooms now supports multiple clouds and data sources 21:34 New physical AWS Data Transfer Terminals let you upload to the cloud faster New physical AWS data transfer terminals let you upload to the cloud faster. So, we got rid of the trucks. We got rid of the disks that we send you in the mail. BUT If you have your own disks that you’d like to bring to a physical location in either Los Angeles or New York, you can connect them with the cable directly to the Amazon cloud through a public endpoint that is available. (We assume it’s in a secure building or something.) Basically you reserve a time slot to visit your nearest location and upload that data quickly to your AWS public endpoint. Enhance your productivity with new extensions and integrations in Amazon Q Business Announcing Amazon FSx Intelligent-Tiering, a new storage class for FSx for OpenZFS New RAG evaluation and LLM-as-a-judge capabilities in Amazon Bedrock Securely share AWS resources across VPC and account boundaries with PrivateLink, VPC Lattice, EventBridge, and Step Functions 23: 52 New AWS Security Incident Response helps organizations respond to and recover from security events AWS announced that the new AWS Security Incident Response Service designed to help organizations manage secur...
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