How do you implement Kubernetes CI/CD pipelines with advanced deployment strategies?

Advanced Kubernetes CI/CD pipelines integrate multiple deployment strategies, automated testing, and progressive delivery to ensure reliable application releases.\n\nDeployment Strategies:\n• Blue-Green: Zero-downtime with instant rollback\n• Canary: Gradual traffic shifting with monitoring\n• Rolling: Sequential pod replacement\n• A/B Testing: Feature flag-based deployments\n• Shadow: Production traffic mirroring\n\nCI/CD Pipeline Components:\n• Source control integration (Git webhooks)\n• Automated testing (unit, integration, security)\n• Container image building and scanning\n• Manifest generation and validation\n• Progressive deployment with gates\n\nTools Integration:\n• Tekton: Kubernetes-native CI/CD\n• Argo Workflows: Container-native workflows\n• Flagger: Progressive delivery operator\n• Spinnaker: Multi-cloud deployment\n• Jenkins X: GitOps-based CI/CD\n\nExample Canary Deployment:\napiVersion: flagger.app/v1beta1\nkind: Canary\nmetadata:\n name: webapp\nspec:\n targetRef:\n apiVersion: apps/v1\n kind: Deployment\n name: webapp\n service:\n port: 80\n analysis:\n interval: 1m\n threshold: 5\n stepWeight: 10\n\nBest Practices:\n• Implement comprehensive testing\n• Use feature flags for risk mitigation\n• Monitor key metrics during deployments\n• Automate rollback procedures\n• Maintain deployment visibility