Running Kubernetes at Scale: Lessons from Production Deployments
Practical Kubernetes patterns for reliability and cost control.
Platform Foundations
Successful Kubernetes adoption requires observability, GitOps, resource quotas, and clear namespace strategy from day one.
Scaling Workloads
Use horizontal pod autoscaling and set CPU/memory requests and limits to avoid noisy neighbors and wasted capacity.
Reliability
Define pod disruption budgets, health checks, and multi-zone deployments where providers support them.
Security
RBAC least privilege, network policies, and signed images reduce cluster risk.
Cost Optimization
Right-size nodes, use spot/preemptible instances for fault-tolerant jobs, and review idle namespaces monthly.
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