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Microservices Orchestration

As introduced previously, in a microservice-based approach, each microservice owns its model and data so it will be autonomous from a development and deployment point of view. These kinds of systems are complex to scale out and manage. Therefore, you absolutely need an orchestrator if you want to have a production-ready and scalable multi-container application.

Diagram showing docker applications in a cluster.


  • The orchestrator helps with composing applications consisting of many microservices into one deployable unit. That unit is then moved — or deployed — to a host.
  • Once deployed, the orchestrator helps with managing the host. 
    • It can automatically start the containers,
    • scale them out with multiple instances for each image, 
    • suspend them, 
    • or shut them down when needed. 
    • The orchestrator can also control how containers access resources like the network and data storage.
  • Orchestrators can perform tasks such as 
    • load-balancing and routing in scenarios when multiple containers exist on multiple hosts in a complex distributed system
    • They can also monitor the containers' and hosts' health
  • Some examples of orchestrators:
    • Docker Compose
    • Kubernetes 

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