Kubernetes SRE
Run Kubernetes services with practical SLOs, capacity planning, observability, and safe scaling.
Related guides
Kubernetes SRE guides
A practical guide to Kubernetes SLOs, error budgets, and SRE alerting: latency indicators, multi-window burn-rate rules, and release decisions for production platforms.
Build Kubernetes observability that connects cluster health, application requests, traces, logs, and edge delivery signals to faster incident diagnosis.
Configure Kubernetes autoscaling with HPA, KEDA, resource requests, queue signals, rollout safeguards, and latency-aware validation for reliable scaling.
A practical framework for Kubernetes capacity planning: demand forecasts, resource requests and headroom, dependency limits, and cluster load testing.
Design a Kubernetes multi-region architecture with data consistency, traffic steering, health checks, regional failover rehearsals, and end-to-end latency measurement.
Design stateless services on Kubernetes with sound stateless service design and horizontal pod scaling that survive rescheduling, control dependency pressure, and preserve low-latency delivery paths.