Optimize Container Resources

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We explain per-replica CPU and memory sizing, how out-of-memory and throttling indicate resource shortfalls, and how to configure autoscaling rules with min/max replicas, scale-to-zero, and thresholds based on container role.

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