Kubernetes Cluster Setup

Kubernetes cluster setup

Kubernetes solves scaling and fault tolerance, but it adds a layer of complexity of its own. So let me start honestly: most online stores do not need it.

When it genuinely fits

• several applications with different release cycles that have to ship independently;
• a real need for automatic scaling under uneven load;
• a fault tolerance requirement where one node failing must not stop the service;
• a team already working with containers and ready to maintain a cluster.

When you are better off without it

A single site on a single server will run worse and cost more inside Kubernetes than on an ordinary server: a network layer is added, debugging gets harder, and the price of a mistake goes up. If the goal is to make a store faster, the answer lies in server tuning, not in orchestration.

What is included

• cluster deployment, or connection to your host's managed offering;
• application definitions: deployments, services, ingress, certificates;
• configuration and secrets kept separate from the code;
• resource limits and readiness probes — without them restarts become chaotic;
• storage for data that has to survive a restart;
• baseline monitoring and log collection.

About ongoing maintenance

A cluster needs looking after: version upgrades, resource watching, incident analysis. That is worth factoring into the decision — it does not keep running by itself once set up.