Kubernetes Production Mastery

Advanced Kubernetes deployment strategies, security configurations, and monitoring solutions based on real-world scenarios from scaling containerized applications to serve millions of users. Learn from battle-tested practices used by leading technology companies.

Advanced Deployment Strategies

• Blue-Green Deployments: Zero-downtime deployment with instant rollback capabilities
• Canary Releases: Gradual feature rollout with automated traffic shifting
• Rolling Updates: Progressive deployment with health checks and monitoring
• A/B Testing: Traffic splitting for feature experimentation
• Multi-Cluster Deployment: Cross-region and multi-cloud orchestration

Production Security Hardening

• Pod Security Standards: Restricted security contexts and admission controllers
• Network Policies: Micro-segmentation and traffic isolation
• RBAC Configuration: Role-based access control and service accounts
• Image Security: Container scanning and vulnerability management
• Secret Management: Encryption at rest and external secret stores

Scalability & Performance

• Horizontal Pod Autoscaling: CPU, memory, and custom metric scaling
• Vertical Pod Autoscaling: Right-sizing containers for optimal resource usage
• Cluster Autoscaling: Dynamic node provisioning and cost optimization
• Resource Management: Requests, limits, and Quality of Service classes
• Performance Tuning: Node optimization and workload placement strategies

Service Mesh Implementation

• Istio Configuration: Traffic management, security, and observability
• Linkerd Setup: Lightweight service mesh for microservices
• Consul Connect: Service discovery and secure service-to-service communication
• Envoy Proxy: Advanced load balancing and traffic routing
• mTLS Implementation: Mutual TLS for secure inter-service communication

Monitoring & Observability Stack

• Prometheus Configuration: Metrics collection and alerting rules
• Grafana Dashboards: Visual monitoring and performance analytics
• Jaeger Tracing: Distributed tracing and performance analysis
• Fluentd/Fluent Bit: Log collection and forwarding strategies
• AlertManager: Intelligent alerting and escalation policies

Data Management & Storage

• Persistent Volumes: Dynamic provisioning and storage classes
• StatefulSets: Managing stateful applications and ordered deployments
• Database Operators: PostgreSQL, MySQL, and MongoDB in Kubernetes
• Backup Solutions: Velero and automated backup strategies
• Data Migration: Strategies for migrating data between clusters

Cost Optimization

• Resource Right-Sizing: Analyzing and optimizing resource allocations
• Spot Instances: Using preemptible instances for cost savings
• Cluster Optimization: Node pool management and workload placement
• Cost Monitoring: Tracking and allocating Kubernetes costs
• Multi-Tenancy: Resource sharing and namespace isolation strategies

Real-World Case Studies

• Netflix: Massive scale container orchestration and chaos engineering
• Spotify: Multi-region deployments and developer self-service platforms
• Airbnb: Machine learning workloads and batch processing in Kubernetes
• Pinterest: Cost optimization and resource management at scale
• Shopify: Black Friday traffic handling with auto-scaling strategies

What's Included

• Production Configs: Battle-tested YAML manifests and Helm charts
• Security Templates: Hardened configurations and policy examples
• Monitoring Stack: Complete observability setup with dashboards
• Automation Scripts: Deployment pipelines and operational runbooks
• Troubleshooting Guide: Common issues and resolution strategies
• Performance Benchmarks: Load testing results and optimization techniques

Advanced Topics

• Custom Resource Definitions (CRDs) and operators development
• Multi-cluster management with Admiralty and Liqo
• GitOps workflows with ArgoCD and Flux
• Serverless containers with Knative
• Edge computing with K3s and lightweight distributions

Target Audience

Designed for DevOps engineers, platform engineers, SREs, and technical leads responsible for production Kubernetes environments. Perfect for teams managing containerized applications at scale and seeking operational excellence.