As you start scaling out to several microservices, it becomes difficult to monitor them. You might want to know when some part of your platform is not working as expected. At the same time, you want to be notified when some part of your application is not performing well. So monitoring becomes a significant aspect of microservices. At the same time, monitoring will not make sense if you don't monitor the right metrics. So exposing the right metrics for each microservices matter a lot. While you spend 60 percent of your time writing the actual functionality of the microservice, the other 40 percent should be spent on activities such as deployments, CI, monitoring, and logging. If this sounds strange to you, you will start understanding it as soon as you start writing more and more microservices.
The biggest question is where do we store these metrics. That's where Time Series Databases come into picture. There are several time series databases in the market at the moment like...