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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? What resource requests and limits should you configure for a Redis pod running on Kubernetes, and why does this matter? What are the tradeoffs between self managing Redis on Kubernetes versus using a Kubernetes Operator specifically built for Redis?
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How would you deploy a highly available Redis Sentinel setup on Kubernetes to provide automatic failover for a primary and replica configuration?

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Answer

You would deploy the Redis primary and replicas as a StatefulSet with appropriate persistent volumes, deploy a separate set of Sentinel pods configured to monitor the Redis deployment, expose the Sentinel service so application clients can discover the current primary, and carefully configure appropriate readiness and liveness probes so Kubernetes correctly understands the health status of each component.
-- Separate StatefulSets or Deployments for Redis and Sentinel
-- with Sentinel configured to monitor the Redis StatefulSet pods
apiVersion: apps/v1
kind: StatefulSet
metadata:
  name: redis-sentinel
Real-world example A company running a critical application on Kubernetes deploys both Redis and Sentinel together, achieving automatic failover within their cluster without needing to manage failover logic manually, even when a specific pod or node fails.

Common follow-ups: How do liveness and readiness probes need to be configured differently for Redis versus Sentinel pods?;What happens during a Kubernetes node failure that was hosting the current Redis primary?

Redis Sentinel & High Availability;Clustering
All 7 Redis with Docker & Kubernetes questions