Software development, the evolution of DevOps has been nothing short of revolutionary. What began as a simple concept has transformed into a best practice that is reshaping the way organisations develop, deploy, and maintain their software. In this blog post, we will take a journey through the evolution of DevOps, from its humble beginnings to its current status as an indispensable part of modern software development.
Today, we released our systemd journal plugin for Netdata, allowing you to explore, view, search, filter and analyze systemd journal logs. Like most things about Netdata, this is a zero-configuration plugin. You don’t have to do anything apart from installing Netdata on your systems.This is key design direction for Netdata, since we want Netdata to be able to help even if you install it mid-crisis, while you have an incident at hand.
Grafana is one of the most popular dashboarding and visualization tools for metrics. The Grafana Dashboards are a very important part of infrastructure and application instrumentation. In this post, we will deep dive into Grafana dashboards. We will create a Grafana dashboard for a VM’s most important metrics, learn to create advanced dashboards with filters for multiple instance metrics, import and export dashboards, learn to refresh intervals in dashboards and learn about plugins.
In this article, we are going to discuss how to set up Kafka monitoring using Prometheus. Kafka is one of the most widely used streaming platforms, and Prometheus is a popular way to monitor Kafka. We will use Prometheus to pull metrics from Kafka and then visualize the important metrics on a Grafana dashboard. We will also look at some of the challenges of running a self-hosted Prometheus and Grafana instance versus the Hosted Grafana offered by MetricFire.
One of the things I really love about working for Cribl is the ability to help our customers optimize their data. Microsoft Windows Event Logs are something I have always looked to as a proverbial Rosetta Stone to help translate semi-structured, classic-style events into something more efficient and less resource-intensive to search. Extracting field values requires a large number of regular expressions to parse the events, which isn’t ideal.