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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? 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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What are the tradeoffs between self managing Redis on Kubernetes versus using a Kubernetes Operator specifically built for Redis?

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Answer

Self managing Redis with your own StatefulSets and configuration gives you complete control but requires you to handle failover, scaling, and upgrade logic yourself, while a dedicated Redis Operator automates many of these operational tasks by understanding Redis specific concepts, reducing manual effort at the cost of an additional dependency and potentially less fine grained control over exact configuration details.
-- Using a Redis Operator simplifies deployment
-- and lifecycle management significantly
kubectl apply -f redis-operator-crd.yaml
Real-world example A team with limited operational experience running Redis chooses a well established Redis Operator for their Kubernetes deployment, significantly reducing the operational burden of managing failover and scaling themselves.

Common follow-ups: What popular Redis Operators are available for Kubernetes today?;What level of customization do these operators typically still allow?

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