Redis deployment issues resolved with optimized resource allocation

Issue

Redis pods encountered ImagePullBackOff errors due to deprecated Bitnami container images and resource constraints. The Kubernetes cluster’s single node had insufficient CPU resources (only 29m available) to deploy the MCP RAG application, which required 400-500m CPU. Additionally, 50% of node resources were consumed by unoptimizable AKS-managed components.

Culprit

Deprecated Container Images

The Bitnami Helm chart referenced container images that were removed from Docker Hub due to security vulnerabilities and version upgrades, causing the ImagePullBackOff errors.

Resource Starvation

AKS-managed components consumed 50% of node resources (950m CPU), and monitoring resources were over-provisioned by 72%, resulting in insufficient CPU for application deployment.

Solution

Redis Image Resolution

Upgraded the Bitnami Helm chart to version 20.x to ensure the use of current container images with security context enforcement and automatic image updates.

Resource Optimization

Reduced monitoring stack resources to match actual usage with a 20-30% buffer, freeing up significant CPU resources and enabling application deployment.

AKS Component Management

Disabled non-essential AKS-managed components such as Gatekeeper to free up additional CPU resources.

Resource Analysis Workflow

Used actual usage measurements and waste calculations to right-size resource requests and free up sufficient CPU resources for application deployment.

This solution resolved the Redis deployment issues and resource constraints, enabling successful deployment of the MCP RAG application.