In this lesson, we are going to learn how to Log Monitoring and Alerting With Grafana Loki - Let's deploy Grafana Loki to monitor logs in Grafana and create custom metric based on logs and configure alert accordingly.
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, as well as 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. 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).
Before proceeding with the steps for deploying Grafana Loki, we will see each tool briefly.
Promtail helps to monitor applications by shipping the container logs to Loki or Grafana cloud. This process primarily involves discovering targets, attaching labels to log streams from both log files and the systemd journal, and shipping them to Loki. Promtail's service discovery is based on the Prometheus' service discovery mechanism.
As quoted by creators of Loki, Loki is a horizontally scalable, highly available, multi-tenant log aggregation system inspired by Prometheus. Loki uses the same service discovery mechanism as that of Prometheus and adds labels to the log stream instead of indexing. Due to which, logs received from Promtail consist of the same set of labels as that of application metrics. Thus, it not only provides better context switching between logs and metrics but also avoids full index logging.
Open source today is a word that often include a lot of things, such as open knowledge (Wikimedia projects), open hardware (Arduino, Raspberry Pi), open formats (ODT/ODS/ODP) and so on.
With Google not owning the trademarks or control for Kubernetes, it also provided a competitive edge to AWS, Microsoft, IBM etc.
How to Install OBS on Linux, Windows and MacOS - What is OBS? OBS (Open Broadcaster Software) is a free and open-source video recording and livestreaming software program that is written in C, C ++, and
In this article lets talk about Netflix which is known for the biggest online streaming platform available. Since its inception in 1997, it has grown so much in the last 23 years that it recorded a revenue of US$ 20,156 million in the year 2019 only with paid membership count of 167.1 million and employed 8600 employees globally.
Here's 16 open source projects with source code. I have video tutorial for all of these on my youtube channel.