Kubernetes Orchestration
Automate the deployment, scaling, and self-healing of containerised applications across a cluster of nodes.
★★★★★5/5Deployment platform — Kubernetes, Docker, cloud config
Interactive visualization
LiveHow it works
Kubernetes (K8s), open-sourced by Google from its internal Borg system, is the de-facto container orchestration platform. It schedules containers onto cluster nodes, manages their lifecycle, and ensures desired state is maintained.
Core objects: Pod (smallest deployable unit — one or more containers), Deployment (desired replica count + rolling update strategy), Service (stable network endpoint for a set of Pods), Ingress (HTTP routing). The control plane (API Server, Scheduler, Controller Manager, etcd) continuously reconciles actual state toward desired state.
Why it matters
Managing containers manually at scale is impossible. Kubernetes automates scheduling, self-healing, scaling, and rolling deployments — it's the operating system for cloud-native applications.
✓ When to use
- →Running multiple containerised services that need to scale
- →Requiring automatic failover and self-healing
- →Multi-tenant platform serving multiple teams
✗ When NOT to use
- →Simple single-container apps — use managed services (Cloud Run, Fargate)
- →Small teams without DevOps capacity to operate a cluster
Trade-offs
Automatic self-healing and scaling
High operational complexity — YAML sprawl, RBAC, networking
Declarative desired-state model
Steep learning curve for operators and developers
Ecosystem richness (Helm, Operators, service meshes)
Overkill for small workloads
In production
K8s runs their entire service fleet; hundreds of engineers deploy independently
Migrated to K8s to improve resource utilisation by 20-30%
Industry adoption
Related principles
Container Architecture
Package applications with all their dependencies into isolated, portable units that run consistently everywhere.
Service Mesh
LiveOffload cross-cutting network concerns (mTLS, retries, circuit breaking, observability) to a dedicated infrastructure layer via sidecar proxies.
Cloud-Native Architecture
Design applications specifically to exploit cloud capabilities: elasticity, managed services, and pay-per-use scaling.