In this chapter, we will learn how to use Prometheus and Grafana to collect, monitor, and alert about performance metrics. As we mentioned in Chapter 1, Introduction to Microservices, in the Centralized monitoring and alarms section, in a production environment, it is crucial to be able to collect metrics for application performance and hardware resource usage. Monitoring these metrics is required in order to avoid long response times or outages for API requests and other processes.
To be able to monitor a system landscape of microservices in a cost-efficient and proactive way, we need to define alarms that are triggered automatically if the metrics exceed the configured limits.
In this chapter, we will cover the following topics:
- Introduction to performance monitoring using Prometheus and Grafana
- Changes in source code for collecting application metrics...
