Summary
In this chapter, we’ve navigated the essential data storage solutions that underpin effective network observability. Databases like those used by Prometheus and Grafana Loki are the engines of observability platforms, crucial for insightful data analysis. Through practical examples, we’ve revealed how data flows from collection to storage, and how it’s harnessed using powerful querying languages like PromQL and LogQL.
With hands-on exercises in a lab setup that mirrors real-world networks, you’ve learned how to write data to and query it from these observability tools. You’ve also seen how automated rules in Prometheus and Loki can streamline your monitoring process, preparing you to proactively address network events.
As we move forward, the next chapter shifts our focus to the art of data visualization using Grafana. Here, we’ll bring the queries and data from this chapter to life, transforming raw metrics and logs into compelling...
