Kubernetes Deployment Strategies for Production Applications > 자유게시판

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Kubernetes offers multiple deployment strategies to and risk. Rolling updates gradually replace old pods with new ones, ensuring application availability during deployment. The maxSurge and maxUnavailable parameters control the rollout pace. Blue-green deployments maintain two identical environments, switching traffic instantly between versions. This strategy eliminates downtime but doubles resource requirements. Canary deployments route a small percentage of traffic to the new version before full rollout. Use Istio or Linkerd for fine-grained traffic control. A/B deployments allow testing specific features with targeted user groups. For critical applications, implement readiness and liveness probes to ensure pod health. Use PodDisruptionBudgets to maintain minimum available pods during maintenance. Configure resource requests and limits to prevent resource contention. Implement Horizontal Pod Autoscaler for automatic scaling based on metrics. Use Helm charts for reproducible deployments. Store configuration in ConfigMaps and secrets in Secrets. Monitor deployments with Prometheus and Grafana. Rollback strategies should be automated using Kubernetes deployment history. Choose the strategy based on your application's criticality and resource constraints.