Linux Tutorials
CentOS (Community Enterprise Operating System) is a free and open-source Linux distribution that is widely used for server environments. It is designed to be a community-supported alternative to Red Hat Enterprise Linux (RHEL), providing a stable and enterprise-grade platform by maintaining full binary compatibility with RHEL. CentOS is popular among developers, businesses, and web hosting services because it offers a robust, secure, and reliable system without the subscription fees required by RHEL. However, in 2020, Red Hat shifted the focus of CentOS to CentOS Stream, a rolling-release version that acts as a development branch for future RHEL releases, prompting many users to look for alternatives such as AlmaLinux and Rocky Linux for stability-focused environments.
Prometheus is an open source monitoring system that allows you to collect metrics from any configured target system. Prometheus implements a multi-dimensional data-model with powerful queries, great visualization, precise alerting, and comes with many integrations.
Puppet is an open source configuration management tool and server automation framework. In this tutorial, I will you how to install Puppet on CentOS 7. I will install and configure a CentOS 7 server as a puppet ‘master’, and the other one as an ‘agent’.
Netdata is an open source monitoring system for Linux servers. It provides real-time performance and health monitoring with beautiful dashboard and analytics. In this tutorial, I will show you how to monitor Nginx using Netdata on CentOS 7.
In this tutorial, I will show you how to install and configure OpenProject on CentOS 7. OpenProject is an open source web-based management system for location-independent team collaboration. It’s a project management software that provides features like task-management, team collaboration, scrum, and more.
In this tutorial, we will learn how to install and configure Cassandra on CentOS 7. Cassandra is a free and open source distributed database management system that can be used to handle large amounts of data across many servers.