Learn KUBERNETES with Real Code Examples

Control plane manages cluster state and schedules pods

Nodes run container runtime and kubelet agent

API server exposes declarative API

Scheduler places workloads based on resource availability

Controller manager handles automated operations like scaling and healing

Users define desired state in manifests

API server receives and validates configurations

Scheduler places pods on nodes

Controllers ensure actual state matches desired state

Cluster self-heals, scales, and manages resources automatically

Control plane with API server, scheduler, controller manager

Node agents (kubelet) for pod lifecycle management

Declarative objects (pods, deployments, services, ingress)

Event-driven controllers and operators

Cluster-level networking and storage abstraction

Microservices deployed via Kubernetes deployments

Multi-tenant SaaS platforms using namespaces

CI/CD pipelines deploying applications automatically

Hybrid cloud clusters across AWS and on-prem

Service meshes (Istio/Linkerd) managing network traffic

Declarative configuration

Automation and self-healing

Scalability and resilience

Extensibility via APIs and operators

Cloud-native and container-first architecture

Use Horizontal Pod Autoscaler (HPA)

Deploy multiple nodes and regions

Leverage namespaces for workload separation

Monitor resource utilization continuously

Implement cluster autoscaler for dynamic scaling

Update Kubernetes version gradually

Refactor deprecated APIs and manifests

Test workloads in staging clusters

Apply rolling upgrades to minimize downtime

Monitor cluster stability and metrics