About this episode
Welcome to episode 323 of The Cloud Pod, where the forecast is always cloudy! Justin, Matt and Ryan are in the studio tonight to bring you all the latest in cloud and AI news! This week we have a close call from Entra, some DeepSeek news, Firestore, and even an acquisition! Make sure to stay tuned for the aftershow – and Matt obviously falling asleep on the job. Let’s get started!
Titles we almost went with this week
When One Key Opens Every Door: Microsoft’s Close Call with Cloud Catastrophe
Bedrock Goes Qwen-tum: Alibaba’s Models Join the AWS Party
DeepSeek and You Shall Find V3.1 in Bedrock
GPUs of Unusual Size? I Don’t Think They Exist (Narrator: They Do)
Kubernetes Without the Kubernightmares
Firestore and Forget: AI Takes the Wheel SCPs Get Their Full License: IAM Language Edition
Do What I Meant, Not What I Prompted
Atlassian Pays a Billion to DX the Developer Experience
Entra at Your Own Risk: The Azure Identity Crisis That Almost Was
Oracle Intelligence: The AI Nobody Asked For
Wisconsin Gets Cheesy with AI: Microsoft’s Dairy State Datacenter
Azure Opens the Data Floodgates (But Only in Europe)
PostgreSQL Gets a Security Blanket and Won’t Share Its TEEs
Microsoft’s New Cooling System Has Veins Like a Leaf and Runs Hotter Than Your Gaming PC
Azure Gets Cold Feet About Hot Chips, Decides to Go With the Flow
AI Is Going Great – Or How ML Makes Money
00:58 Google and Kaggle launch AI Agents Intensive course
Google and Kaggle are launching a 5-day intensive course on AI agents from November 10-14.
This follows their GenAI course that attracted 280,000 learners, with curriculum covering agent architectures, tools, memory systems, and production deployment.
The course focuses on building autonomous AI agents and multi-agent systems, which represents a shift from traditional single-model AI to systems that can independently perform tasks, make decisions, and interact with tools and APIs.
This development signals growing enterprise interest in AI agents for cloud environments, where autonomous systems can manage infrastructure, optimize resources, and handle complex workflows without constant human intervention.
The hands-on approach includes codelabs
