Kubernetes is the de facto standard for container orchestration, but running it well in production is harder than running a pilot. This guide covers the operational patterns that make enterprise Kubernetes reliable.
The Kubernetes Production Gap
Kubernetes pilots are easy — spin up a cluster, deploy a few services, declare success. Production Kubernetes is a different discipline: multi-cluster topology, security hardening, cost management, disaster recovery and operational runbooks for a platform your engineers depend on 24/7.
Cluster Architecture Decisions That Matter
- Multi-cluster vs single cluster: for most enterprises, a production + staging + development separation is the right starting point
- Node autoscaling: configure node pools by workload type (compute-optimised, memory-optimised, spot)
- Storage classes: define them upfront; changing them later is painful
- Network policy: deny-all by default, allow explicitly — security posture from day one
Secrets Management
Cost Management
Kubernetes makes it easy to waste money: over-provisioned requests and limits, idle namespaces, unscheduled pods keeping nodes alive. Implement resource quotas, use tools like Kubecost or OpenCost, and review cluster utilisation monthly. Our clients typically find 30–40% cost reduction opportunities on their first cost audit.
When to Hire vs When to Buy Managed
Building and operating Kubernetes in-house requires dedicated SRE capacity. If your organisation cannot hire two skilled Kubernetes engineers, managed Kubernetes on Sibyl Compute removes that burden — giving you the orchestration benefits without the operational overhead.