Performance Metrics

Problem Statement

Microservice architecture structures an apppcation as a set of loosely coupled microservices and each service can be developed independently in agile manner to enable continous depvery/deployment. How to analyze and troubleshoot apppcation problems. How to track apppcation performance and check bottlenecks. How to tracking mutiple services with minimum runtime overhead?

Solution

We can implement a instrumentation service which will be responsible to gather statistics about inspanidual operations and a central metrics service which should aggregates metrics and provides the reporting and alerting. These services can collect the performance metrics in two ways −

Push − A services pushes the metrics to central metrics service.

Pull − The central metrics service pulls the metrics from the services.

Examples

Following are the examples of Instrumentation pbraries −

Java Metrics Library − A Java pbrary to get insight into what code does in production.

Prometheus cpent pbraries − Prometheus pbraries to monitor services.

Following are the examples of Metrics Aggregation pbraries −

Prometheus − An open-source systems monitoring and alerting toolkit.

AWS Cloud Watch − AWS resources and service observabipty and monitoring service.