The missing pieces

In Chapter 8, Containerizing Microservices with Docker, we discussed how to dockerize BrownField Airline's PSS microservices. Docker helped package the JVM runtime and OS parameters along with the application so that there is no special consideration required when moving dockerized microservices from one environment to another. The REST APIs provided by Docker have simplified the life cycle manager's interaction with the target machine in starting and stopping artifacts.

In a large-scale deployment, with hundreds and thousands of Docker containers, we need to ensure that Docker containers run with their own resource constraints, such as memory, CPU, and so on. In addition to this, there may be rules set for Docker deployments, such as replicated copies of the container should not be run on the same machine. Also, a mechanism needs to be in place to optimally use the server infrastructure to avoid incurring extra cost.

There are organizations that deal with billions of containers...