In a production environment, a downtime of even a few microseconds is intolerable. Debugging such issues is time-critical. Proper logging and monitoring of infrastructure help in debugging such scenarios. It also helps in optimizing cost and other resources proactively. It also helps to detect any impending issue which may arise in the near future. There are various logging and monitoring solutions available in the market.

In this post, we will walk through the steps to deploy Grafana Loki in a Kubernetes environment for log monitoring and alerting. This is due to its seamless compatibility with Prometheus; a widely used software for collecting metrics. Grafana Loki consists of three components Promtail, Loki, and, Grafana (PLG) which we will see in brief before proceeding to the deployment. This article provides a better insight into the architectural differences of PLG and other primary logging and monitoring stack like Elasticsearch-FluentD-Kibana (EFK).

#grafana #loki #monitoring #alerting