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Kubernetes
The de-facto standard for orchestrating containerized workloads at scale.
0Free
Container Orchestration
Overview
An open-source system for automating deployment, scaling, and management of containerized applications.
Key Features
- Automated rollouts and rollbacks with zero downtime
- Horizontal Pod Autoscaling based on CPU, memory, or custom metrics
- Service discovery and load balancing built-in
- Self-healing — restarts failed containers and reschedules on healthy nodes
- Secrets and ConfigMap for decoupled configuration management
- Extensible via Custom Resource Definitions (CRDs) and operators
Real-World Workflows
Blue/green production deployment
- 1Deploy the new version as a separate Deployment (green)
- 2Verify green pods pass readiness probes and smoke tests
- 3Switch the Service selector label from blue to green
- 4Monitor error rates and latency; scale down blue if healthy
- 5Automate the promotion workflow with Argo CD or Flagger
Autoscaling a microservices workload
- 1Deploy microservices with resource requests and limits defined
- 2Configure HorizontalPodAutoscaler targeting CPU utilisation at 60%
- 3Enable Cluster Autoscaler to add nodes when pods are unschedulable
- 4Monitor scaling events with Prometheus and Grafana dashboards
Getting Started
# Start locally with minikube: minikube start kubectl apply -f deployment.yaml kubectl get pods -w
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