In the previous chapter, we discussed how to carry out performance testing for a microservice-based application. Performance or load testing is a critical part of any application that serves a lot of users. A microservice-based application has a lot of small services that run on separate servers, and each microservice can be written in any language. For this reason, it is important that load testing is performed for each microservice.
This chapter will discuss performance monitoring of microservice-based architectures. We will look at various Application Performance Management (APM) tools that can be utilized to test microservices, and will also learn about performance counters that are specific to microservices.
After reading this chapter, you will be able to diagnose performance issues related to microservices and APIs using monitoring tools. You will also be able to identify performance issues in a microservice by going through production logs and monitoring tools. You will be provided with a list of the most common performance issues related to microservices and will learn how to tune their performance.
This chapter will cover the following topics:
- Identifying performance counters to test microservices
- Performance monitoring tools, such as:
- AppDynamics
- Dynatrace
- AWS CloudWatch
- Nagios
- New Relic
- Datadog (for Docker performance monitoring)
- Component-level monitoring
- Domain-specific monitoring
- Dashboards and identifying issues by going through logs
Let's get started and take a look at these topics in detail.