At the start of this chapter, we talked about the pros and cons of using a metrics collection system such as Prometheus to scrape and aggregate metrics data from not only our deployed applications but also from our infrastructure (for example, Kubernetes master/worker nodes).
Then, we learned how to leverage the official Prometheus client package for Go to instrument our code and export the collected metrics over HTTP so that they can be scraped by Prometheus. Next, we extolled the benefits of using Grafana for building dashboards by pulling in metrics from heterogeneous sources. In the final part of this chapter, we learned how to define alert rules in Prometheus and gained a solid understanding of using the Alertmanager tool to group, deduplicate, and route alert events that are emitted by Prometheus.
By exploiting the knowledge gained from this chapter, you will be...
