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K8s Basics Kubernetes Kubernetes: From Zero to Production Module 1 - Kubernetes Fundamentals

Kubernetes vs Docker Compose - When to Use Which

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AI Summary

What You Will Learn

Beginner

  • The key differences between K8s and Docker Compose
  • When to use each
  • When to upgrade from Compose to K8s
AspectDocker ComposeKubernetes
HostsSingle machineMultiple machines (cluster)
Self-healingNoYes - auto-restart
Auto-scalingNoYes - HPA, VPA
Rolling updatesManualAutomatic
Load balancingBasicBuilt-in
Learning curveLowHigh
Best forDev, small appsProduction, scale
The upgrade path
Start with Docker Compose for development. When you need: multi-host, auto-scaling, self-healing, or production-grade reliability - upgrade to Kubernetes.

When to Stay with Docker Compose

  • Development environment
  • Small projects (1-5 containers)
  • Single-server deployment
  • Quick prototyping
  • Team is small and not ready for K8s complexity

When to Move to Kubernetes

  • Production deployment with high availability
  • Multiple services that need to scale independently
  • Need zero-downtime deployments
  • Running on multiple servers/cloud providers
  • Team has DevOps expertise

Practical Exercise

Review your current Docker Compose setup
Identify: do you need multi-host? auto-scaling? self-healing?
If yes to any - it is time for Kubernetes
If no - Docker Compose is sufficient

Key Takeaways

  • Docker Compose: single host, dev, simple. Kubernetes: multi-host, production, scale.
  • K8s adds: self-healing, auto-scaling, rolling updates, load balancing.
  • Start with Compose. Upgrade to K8s when you need production reliability.
  • K8s has a steeper learning curve - invest time to learn it.
  • Most companies use both: Compose for dev, K8s for production.
Previously: Lesson 01 introduced Kubernetes.
Today: You learned: When to upgrade from Compose to Kubernetes.
Next: Lesson 03 covers key concepts.
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