Monitoring is one of the key considerations in microservice control systems. Unfortunately, migrating to a microservices architecture gives you flexibility, but it has its challenges as well, since it turns one single monolithic application to complex distributed micro systems. How many nodes or microservices you have is directly proportional to the chances of failure. It can be extremely difficult to have visibility about the communication and request flow between different microservices. In this architecture, monitoring becomes as important as development. Any application, whether it is a web application or mobile application, might have a single API call to system, but behind the scenes, that single API call might turn into tons of internal communication. If anything fails here, even one of them, DevOps and developer have to track it back. It becomes very important for developers and DevOps to have visibility of the internal system so that they can take remedy steps quickly. At any failure situation, if we have tones of megabytes of logs, it will become hard and time consuming to identify the problem. So, the right kind of tools are necessary to monitor such a large number of services, which, in turn, helps the team point out the exact problem quickly.

There are some best practices identified in the monitoring system of microservices, which we will discuss.