tcp.fm Podcast Por Justin Brodley Jonathan Baker Ryan Lucas and Matt Kohn arte de portada

tcp.fm

tcp.fm

De: Justin Brodley Jonathan Baker Ryan Lucas and Matt Kohn
Escúchala gratis

Acerca de esta escucha

 The Cloud Pod is your one-stop-shop for all things Public, Hybrid, Multi-cloud, and private cloud. Cloud providers continue to accelerate with new features, capabilities, and changes to their APIs. Let Justin, Jonathan, Ryan and Peter help navigate you through this changing cloud landscape via our weekly podcast.© 2025 The Cloud Pod Economía
Episodios
  • 307: The AI Assistant That Finally Understands Your Kubernetes Cluster (We are Doomed)

    307: The AI Assistant That Finally Understands Your Kubernetes Cluster (We are Doomed)
    Jun 13 2025

    Welcome to episode 307 of The Cloud Pod – where the forecast is always cloudy! Who else is at a conference? Justin is coming to us this week from sunny San Diego where he’s attending FinOps – so we have that news to look forward to for next week. Matt and Ryan are also on hand today to share the latest news from Kubernetes, Salesforce acquisitions, and the strange case of Azure making AWS more cost effective.

    Titles we almost went with this week:
    • The Great Redis Escape: One Year Later, Valkey is Living Its Best Life
    • Cache Me If You Can: How Valkey Outran Redis’s License Policies
    • Tier Today, Gone Tomorrow: AWS’s New Storage Class That Moves Your Data So
    • You Don’t
    • Hey AI, Deploy My App: AWS Makes It Actually Work
    • AWS Finally Calculates What You’ll Actually Pay
    • The Price is Right: AWS Edition
    • From List Price to Real Price: AWS Gets Transparent
    • Red Hat and AWS Sitting in a Tree, R-H-E-L-I-N-G
    • Dockerfile? More Like Dockefile-It-For-Me with Amazon’s New MCP Server
    • Elementary, My Dear Watson: Amazon Q Becomes Sherlock Holmes for AWS
    • CUD You Believe It? Red Hat Gets the Discount Treatment
    • Committed Relationship Status: It’s Complicated (But 20% Cheaper)
    • RHEL Yeah! Google Drops Prices on Enterprise Linux
    • Disk Today, Gone Tomorrow: Azure’s Vanishing OS Storage
    • ATL1: Where GPUs Meet Sweet Tea and Southern Hospitality
    • AWS Launches Operation Cloud Sovereignty
    • The Great Firewall of Europe: AWS Edition
    • Amazon Builds a GDPR Fortress in Germany
    General News

    01:46 What Salesforce’s $8B acquisition of Informatica means for enterprise data and AI | VentureBeat

    • Salesforce just dropped $8 billion to acquire Informatica.
    • This purchase was really about building the data foundation needed for agentic AI to actually work in enterprise environments – we’re talking about combining Informatica’s 30 years of data management expertise with Salesforce’s cloud platform to create what they’re calling a “unified architecture for agentic AI.”
    • This acquisition fills a massive gap in Salesforce’s data management capabilities, bringing in critical pieces like data cataloging, integration, governance, quality controls, and master data management – all the unsexy but absolutely essential plumbing that makes AI agents trustworthy and scalable in real enterprise deployments.
    • The timing here is fascinating, because Informatica literally just announced their own agentic AI offerings last week at Informatica World, so Salesforce is essentially buying a company that’s already pivoted hard into the AI space – rather than trying to build these capabilities from scratch.
    • There’s going to be some interesting overlap with MuleSoft, which Salesforce bought for $6.5 billion back in 2018, but analysts are saying Informatica’s data management capabilities are more comprehensive and updated – this could mean some consolidation challenges ahead as they figure out how to integrate these overlapping technologies.
    • For enterprise customers, this could be a game-changer because it promises to automate those painful, time-consuming data processes that typically take days or weeks. These AI agents can handle data ingestion, in...
    Más Menos
    1 h y 11 m
  • 306: Batch Better Have MySQL: Azure's Maintenance Makeover

    306: Batch Better Have MySQL: Azure's Maintenance Makeover
    Jun 6 2025
    Welcome to episode 306 of The Cloud Pod – where the forecast is always cloudy! This week, we have a bunch of announcements concerning the newest offering from Anthropic – Claude Sonnet 4 and Opus 4, plus container security, Azure MySQL Maintenance, Vertex AI, and Mistral AI. Plus, we’ve got a Cloud Journey installment AND an aftershow – so get comfy and get ready for a trip to the clouds! Titles we almost went with this week: ECS Failures Now Have 4x the ExcusesNailing Down Your Container Security, One Patch at a TimeHashiCorp’s New Recipe: Terraform, AI, and a Pinch of MCPTeaching an Old DNS New IPv6 TricksDash-ing through the Klusters, in an AWS ConsoleGoogle’s Generative AI Playground Gets a Glow-UpVertex AI Studio: Now with 200% More Darkness! Like our soulsClaude Opus 4 Strikes a Chord on Google CloudSovereign-teed to Please: Google Cloud’s Royal TreatmentGoogle’s Cloud Kingdom Expands its BordersShall I Compare Thee to a Summer’s AI? Anthropic Drops Sonne(t) 4 Knowledge on VertexMistral AI Chats Up a Storm on Google CloudGoogle Cloud’s Vertex AI Gets a Dose of Mistral Magic.NET Aspire on Azure: The App Service Strikes BackDefault Outbound Access Retires, Decides Florida Isn’t for Everyone AI Is Going Great – or How ML Makes Money 01:52 Introducing Claude 4 Claude has launched the latest models in Claude Opus 4 and Claude Sonnet 4, setting new standards for coding, advancing reasoning and AI agents. Maybe they’ll actually follow instructions when told to shut down? (Looking at you, ChatGPT.)Claude Opus 4 is “the world’s best coding model” with sustained performance on complex, long-running tasks and agent workflows. Opus 4 has 350 billion parameters, making it one of the largest publicly available language models. It demonstrates strong performance on academic benchmarks, including research. Sonnet 4 is a smaller 10 billion parameter model optimized for dialogue, making it well-suited for conversational AI applications. Alongside the models, they are also announcing: Extended thinking with tool use (beta): Both models can use tools – like web search – during extended thinking, allowing Claude to alternate between reasoning and tool use to improve its responses.New Model Capabilities: Both models can use tools in parallel, follow instructions more precisely, and when given access to local files by developers — demonstrate significantly improved memory capabilities, extracting and saving key facts maintain continuity and build tacit knowledge over timeClaude code is now generally available: After receiving extensive positive feedback during our research preview, they are expanding how developers can collaborate with Claude. Claude code now supports background tasks via github actions and native integrations with VS code and jetbrains, displaying edits directly in your files for seamless pair programming. New Api capabilities: Four new capabilities on the API that enable developers to build more powerful AI agents including Code Execution tool, MCP connector, Files API and the ability to cache... Chapters (00:00:00) - Cloud Pod: Azure's Maintenance Makeover(00:00:38) - Gemini Power Glasses at IO 2017(00:01:58) - Claude Turns 4 and More(00:07:51) - Claude 4.2 and Silent Models(00:08:38) - OpenAI's Language AI Response API Update(00:11:14) - Docker: Hardened Images(00:15:30) - Terraform MCP Server Released for AI Integration(00:17:50) - Amazon Serverless SQL with GMAX(00:21:43) - Amazon ECS: Extended Container Exit Reason Message(00:23:55) - Dynamodb Local in AWS Cloud Shell(00:26:21) - EC2 DNS now supports IPv6(00:28:52) - EKS Dashboard: Kubernetes Cluster Management(00:33:50) - Vertex AI Studio: Going Dark(00:34:59) - Google's Gemma 3n AI Model for Mobile(00:37:03) - Google's Intelligent Agent Platform Update(00:39:24) - Google Cloud's Sovereign Cloud: Data Sovereignty(00:43:10) - GCP 2.5: Unstructured Data with Vertex(00:44:48) - Google Cloud AI: Lechat Enterprise and OCR(00:48:08) - Azure FX V2 series with 5th Gen Intel Xeon(00:49:33) - Red Hat OpenShift VM Virtualization on Azure(00:52:15) - Microsoft SQL Server: Maintenance Experience for MySQL(00:55:49) - Microsoft's NET Aspire Integration with Azure App Service(00:59:42) - Azure: Retiring Implicit Outbound Connectivity for V(01:03:19) - How to Code With AI in Visual Studio(01:08:25) - Building a serverless bot in Python(01:13:43) - Claude 2.8(01:19:07) - Google Docs: AI in the Show Notes document(01:25:27) - Building a DevOps team with AI(01:29:16) - Black FLP02 PC Case
    Más Menos
    1 h y 34 m
  • 305: AWS Breaks Up with Unpopular Services - "It's Not You, It's Me"

    305: AWS Breaks Up with Unpopular Services - "It's Not You, It's Me"
    May 28 2025
    Welcome to episode 305 of The Cloud Pod – where the forecast is always cloudy! How did you do on your Microsoft Build Predictions? As badly as us? Plus we’ve got news on AWS service changes, a lifecycle catch up page for all those services that bought the farm, tons of Gemini news (seriously, like a lot) and even some AI for .NET. Welcome to the cloud pod- and thanks for joining us! Titles we almost went with this week: Google’s Jules: An AI Gem for Cloud Devs Autonomous Agents of Code: Jules’ Excellent Adventure in the Google CloudGemini 2.5 Shoots for the Stars with Cosmic-Sized AI UpgradesResistance is Futile: OpenAI Assimilates Your Codebase AWS Transformers: Rise of the Agentic AI Teaching an old .NET dog new Linux tricksCodeBuild Puts Docker Builds in HyperdriveInspector Gadget’s New Trick: Mapping Container VulnerabilitiesYo Dawg, I Heard You Like Scanning Containers…Google Cranks AI to 11 with New Ultra PlanI, For One, Welcome Our New AI Ultra OverlordsThe Inference Engine That Could: llm-d Chugs Ahead with Kubernetes-Native ScalingScaling Inference to Infinity and Beyond with Google Cloud’s llm-dGoogle Cloud and Spring AI: A Match Made in Java-nThe Fast and the Serverless: Cloud Run Drifts into AI Studio TerritorySQL Server 2025: A Vector Victor, Not a Scalar FailureAI will solve my life problems of having money in my pocketI used to scan all the containers but now I will just scan yours AI Is Going Great – or How ML Makes Money 01:50 Jules: Google’s autonomous AI coding agent Jules is an autonomous AI agent that can read code, understand intent, and make code changes on its own. It goes beyond AI coding assistants to operate independently.It clones code into a secure Google Cloud VM, allowing it to understand the full context of a project. This enables it to write tests, build features, fix bugs, and more.Jules operates asynchronously in the background, presenting its plan and reasoning when complete. This allows developers to focus on other tasks while it works.Integration with GitHub enables Jules to work directly in existing workflows without extra setup or context switching. Developers can steer and give feedback throughout the process.For cloud developers, Jules demonstrates the rapid advancement of AI for coding moving from prototype to product. Its cloud-based parallel execution enables efficient handling of complex, multi-file changes.While in public beta, Jules is free with some usage limits. This allows developers to experiment with this cutting-edge AI coding agent and understand its potential to accelerate development on Google Cloud. 02:56 Ryan – “More and more, as new tools get released, it’s just going to change the way anything gets written… it’s getting more and more capable.” 05:45 Introducing Flow: Google’s AI filmmaking tool designed for Veo Flow is an AI-powered filmmaking tool custom-designed for Google’s advanced video, image and language models (Veo, Imagen, Gemini). It allows creators to generate cinem... Chapters (00:00:00) - Cloud Pod: AWS Breaks Up With unpopular Services(00:01:02) - Google's Joules: A Code Editing Agent for Cloud Developers(00:04:54) - Google's AI Filmmaking Tool, Flow(00:08:45) - Gemini 2.5 Large Language Models Update(00:10:33) - Google's Alpha Evolve: The AI Coding Agent(00:12:50) - OpenAI's Codex AI Agent for Cloud Development(00:14:44) - HashiCorp Validated Patterns for Cloud-based IT(00:16:49) - Amazon AWS: End Support for Several Services(00:21:12) - Amazon's New Strands AI Agent SDK(00:28:01) - Cloud Cost Management: The Right Step for IT Pros(00:31:36) - AWS Code Build: New Docker Server Capability(00:33:18) - Amazon Inspector for Docker & ECR(00:34:51) - Google AI Ultra: A Premium Subscription Plan(00:39:10) - Database Center(00:40:32) - PostgreSQL on GKE(00:43:32) - Google Cloud Introduces LLM-D for Large Language Inference(00:47:00) - Spring Boot: AI in Java 1.0(00:49:33) - Google Cloud: Bringing AI Studio to Cloud Run(00:51:12) - Google's Vertex AI for Creative Content Generation(00:52:30) - Two Gemini Stories In One Week(00:52:46) - Microsoft's Build 2020 Prediction(00:55:14) - Microsoft's App Services Platform Announcement(00:57:24) - Microsoft's Cloud Announcement(00:59:25) - Azure AI Foundry: New Features, Changes(01:01:58) - Microsoft Fabric and Azure Data Portfolio: Powering the Next AI(01:04:22) - Microsoft Discovery: Accelerating Research and Development (New Platform)(01:06:35) - Microsoft, GitHub Copilot: Agentic DevOps(01:09:33) - Oracle Launches E6 Cloud Compute(01:11:32) - Week in the Cloud: Starting Late
    Más Menos
    1 h y 13 m
adbl_web_global_use_to_activate_webcro805_stickypopup
Todavía no hay opiniones