All 7 Redis with Docker & Kubernetes questions
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How do you run a basic Redis instance using Docker? How do you persist Redis data when running it in a Docker container, so data survives a container restart? How do you deploy Redis on Kubernetes using a StatefulSet rather than a regular Deployment, and why is this distinction important? What Kubernetes resources are typically needed to properly expose and configure a Redis deployment for other applications within the same cluster to use? How would you deploy a highly available Redis Sentinel setup on Kubernetes to provide automatic failover for a primary and replica configuration? What are the tradeoffs between self managing Redis on Kubernetes versus using a Kubernetes Operator specifically built for Redis?
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What resource requests and limits should you configure for a Redis pod running on Kubernetes, and why does this matter?

Intermediate

Answer

You should set memory requests and limits based on your expected dataset size plus a reasonable buffer for overhead, ensuring Kubernetes reserves adequate memory for the pod and prevents Redis from being unexpectedly killed due to exceeding its allocated resources, while also setting appropriate CPU requests to ensure the pod receives consistent processing time even on a busy, shared cluster node.
resources:
  requests:
    memory: '2Gi'
    cpu: '500m'
  limits:
    memory: '4Gi'
    cpu: '1000m'
Real-world example A team deploying Redis on a shared Kubernetes cluster carefully sets memory limits with sufficient headroom above their expected dataset size, preventing Kubernetes from terminating the Redis pod during a brief, temporary spike in memory usage.

Common follow-ups: What happens if a Redis pod exceeds its configured memory limit on Kubernetes?;How do you calculate an appropriate memory limit accounting for both data and overhead?

Redis Memory Optimization;Redis Architecture & Installation
All 7 Redis with Docker & Kubernetes questions