Microservices

Microservices have been assisting us for years, but even it needs to evolve with time. To get the best results of Microservice some small tips can be useful for us. It gets difficult in transitioning to the microservice at times. We need to combine the architectural style of Microservice with the new testing strategies of the evolving world. So here are some of the tips mentioned below-

Keeping a centralized System for Logging:

Though in microservices we have to log each application differently as it is of a different type, keeping a centralized platform can help in keeping it in an overview. While debugging it is really helpful to get access to different logs of services by just using a request ID.

Testing through Mock Microservices:

We cannot test the microservice dependent APIs using WireMock, Cucumber or BBD. But we can do this by unit and integration testing by mocking services individually or may be integrated.

Ensure backward compatibility of interfaces:

When we keep on try to update and add new features rapidly, we land up breaking the backward compatibility. Simply don’t allow to remove of any mandatory element from the original request body. Maintain a standard deprecation process for the elements which are not going to be valid later. Don’t accept a new request element after later release.

How to tolerate faults:

We can use Istio Service Mesh or Spring Hystrix to break the not responding circuit with the given SLA/ETA. This can assist in a peaceful shut down with all the data intact in the microservice.

Understand the language constraint:

Since microservice gives this extraordinary facility to code in multiple languages like C++ or Java at the same time we need to be very careful about its interpretations. Some logics or concepts which might be prevalent in basic C++ may not be applicable in Java script. So while designing on the first go, use common methodology available in all the languages you use in it later.

Different ways of service communication:

Either you can use API Gateway to communicate point to point. Or you can also send messages through event-driven platforms like Kafka and RabbitMQ. Or simply you can use Service Mesh for better communication.

Utilize in-memory-data and db persistence equally:

Microservices can be used for different states and each multiple state changes are required to provide a specific function. We need to store this modified state. For this, it is

very important to use db as a persistence layer to bring transactionality and consistency. But constant use of db persistence can lead to a situation of the bottleneck at a high scale. To cater to this issue we need to also use in-memory-data simultaneously. This will help with speed and scale but gives problems in transactionality. Hence, we need to keep a balance by using both of them to give the best results.

Tools to manage support-related challenges:

We can use CI/CD DevOps tools like Jenkin, Spinnaker, PAAS K8 based solutions TKG, or maybe Open Shift.

Data Consistency:

SAGA design pattern can be used to ensure Data Synchronization. Even sometimes Event sourcing architecture can be used as a messaging platform.

Testing Monoliths:

Using service visualization can be really helpful. We don’t have to always test it all together. It’s easier to test module wise.

These are some tips for better outcomes. But if we want to excel in Microservice we need to get microservice training. It is always better to get professional support to know in-depth about the subject. There is microservice training in Hyderabad which can really help us get a thorough concept of its utility.

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