Azure Container Operations: Container Apps, AKS & ACI

This course contains the use of artificial intelligence.

Stop guessing which Azure container platform to use. Stop overpaying for idle compute. Stop managing Kubernetes when you don't need to.

This is the only course that teaches you to operate the full spectrum of Azure container compute — Azure Container Apps, Azure Kubernetes Service, and Azure Container Instances — with the decision framework, production configurations, and migration playbooks that real engineering teams use.

Who this course is for:

• Cloud engineers and DevOps professionals who need to choose between ACI, Container Apps, and AKS for production workloads

• Developers deploying containerized applications who want to reduce operational overhead and cloud costs

• Platform engineers responsible for migrating workloads from AKS to Container Apps without downtime

• Solutions architects designing cost-optimized container platforms on Azure

• Anyone preparing for Azure container-related certifications (AZ-204, AZ-104, AZ-305) who needs hands-on operational depth

What you will learn:

• Deploy production-ready container apps to Azure Container Apps using Azure CLI and Bicep

• Configure KEDA event-driven scaling with Service Bus, Event Hubs, and HTTP triggers

• Build a complete CI/CD pipeline from GitHub to Container Apps with managed identity authentication

• Execute a phased AKS-to-Container-Apps migration with zero-downtime traffic shifting

• Apply a production security baseline covering identity, image, network, and secrets management

• Implement Application Insights monitoring with distributed tracing across Dapr service invocations

• Calculate Container Apps costs and optimize with scale-to-zero and right-sized workload profiles

• Configure AKS pod disruption budgets, vertical pod autoscaling, and multi-tenant isolation

• Answer container compute interview questions with specific, scenario-based responses

• Troubleshoot 12 common failure scenarios with a structured diagnostic playbook

Requirements:

• Basic familiarity with containers (Docker build, run, push)

• An Azure subscription (free tier works for all labs)

• Basic command-line experience (bash or PowerShell)

• No prior Kubernetes experience required — we cover what you need

Final project:
Deploy a three-service microservices application (API gateway, order processor, event worker) using Container Apps with Dapr service invocation, KEDA Service Bus scaling, Key Vault secrets, managed identity authentication, and Application Insights monitoring. Then migrate the same application from an AKS deployment to Container Apps using the phased migration approach taught in Section 2. The final deliverable is a complete production readiness report scored against the checklist.