Often, applications rely upon containers to be started in a certain order. For example, a database container must be up before an application can connect to it. The application should be resilient to such changes as the containers may be terminated or started at any time. In this case, have the application container wait for the database connection to succeed before proceeding further. Do not use wait-for scripts in a Dockerfile for the containers to start up in a specific order.

In conclusion, containers are the new and powerful unit of development, deployment, and execution. Business applications, IT platforms, databases, and middleware are formally containerized and stocked in publically available and accessible image repositories so that software developers can pick up and leverage them for their software-building requirements. The system portability is a key advantage. The easier and faster maneuverability, testability, and composability of container images are being touted as the most promising and potential advantages of containerization. The inevitability of distributed computing is greatly simplified by the concept of containerization. Multiple containers across clusters can be easily linked to realizing smart and sophisticated applications.