You are building a complex application with a Microservices Architecture. You need to be able to put that system into production.
How do you balance the needs of developers (which want to work on small, easy-to-modify artifacts) and operations teams, which need to minimize the impact of changes on critical systems in order to maintain availability?
If you deploy microservices in the same way you deployed a monolithic application, you will not obtain the benefits of a microservices architecture.
If you let each team go off and follow their own approach without setting guidelines on how microservices are deployed, modified and managed, it will be impossible to debug the resulting system.
Follow a Microservices DevOps approach that allows you to isolate each Microservice as much as possible, while being able to easily and quickly identify and resolve issues with the Microservices.
- Begin with the fundamental principle of deploying one Container Per Service.
- Apply unique CI/CD pipelines to each Microservice to allow you to build and deploy each microservice individually.
- Follow Container DevOps approaches to ensure that the output of each stage is a valid, trusted container.
One important consideration is that while Microservices are fundamentally about independence, having shared, common deployment and operations approaches allows you to set guidelines on how microservices interrelate and interact with each other. They also faciliate team members moving between teams as needed.
Since changes to a microservice can occur at any time, other microservices need to be isolated from the results of that change through a Services Registry.
What’s more, microservices cannot function completely independently – since each microservice will depend on other microservices or other downstream services (such as a Scalable Store) you need to apply techniques such as a Log Aggregator, Query Engine, and Correlation ID’s to understand the interaction between different microservices and debug issues.