Setting up Prometheus for storing metrics
Although it is generally called a database, Prometheus is not a traditional database like MySQL. Instead, its structure is more similar to a time-series database designed for monitoring and observability purposes.
Due to its flexibility and power, this tool is widely used by DevOps and Site Reliability Engineers (SREs) to store metrics and other relevant information about systems and applications. Together with Grafana (which we will explore in later recipes), it is one of the most used monitoring tools in projects and by teams.
This recipe will configure a Docker image to run a Prometheus application. We will also connect it to StatsD to store all the metrics generated.
Getting ready
Refer to the Technical requirements section for this recipe since we will handle it with the same technology.
How to do it…
Here are the steps to perform this recipe:
- Let’s begin by adding the following lines to our
docker...
