Select Compute Resources for Performance and Cost

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We demonstrate how to balance performance and cost when allocating CPU and memory to container apps, covering milli-CPU units, memory-to-CPU ratios, request vs limit settings, throttling and restart behavior, and the tradeoffs between the Consumption and Dedicated pricing tiers.

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Previous Module AI Containers on Azure Container Apps

This Module Implement Azure Container App Scaling

Optimize Container Resources

Introduction to Scaling in Azure Container Apps

Implement Event-Driven Scaling with KEDA

Apply KEDA Scalers for Custom Workloads

Select Compute Resources for Performance and Cost

Choose and Apply Revision Modes

Next Module AI Containers on Azure Kubernetes Service