Introducing AKS Automatic: The easiest managed Kubernetes experience
summary
AKS Automatic claims to get code from GitHub to a production-ready Kubernetes cluster in minutes by creating auto-generated Dockerfile and manifests, a GitHub Actions pipeline and an AKS cluster preconfigured with Entra ID + Prometheus + Managed Grafana and built-in PDBs, probes and autoscaling (KEDA/HPA). Demo shows Copilot scaffolding a FastAPI service, Service Connector wiring workload identity to Azure OpenAI and Key Vault, ClickHouse running on AKS, and the workflow mostly succeeds despite DNS and quota hiccups — finished in about 35 minutes.
AI-written summary · about
chapters (8)
- 0:00Introduction to AKS
- 3:50Deploying apps automatically
- 12:56AKS Automatic features
- 15:55Microservices deployment
- 25:49Scaling with KEDA
- 32:10AI integration with copilot
- 38:55AKS security and recap
- 41:24ClickHouse user case study
related talks
46mDeliver apps from code to cloud with Azure Kubernetes Service
01h 01mDevOps with Azure Kubernetes Service
57mAzure Kubernetes Service (AKS) for Beginners
41mLevel-up Your DevOps with GitHub Actions and Kubernetes
51mUsing AI to Deploy Java apps to Kubernetes
45mKubernetes Operability Tooling
01h 01mKubernetes, Azure and .NET - What's it all about?
01h 04mGoing 0 to 100 with Kubernetes