Home » today » Technology » Top 4 Open Source Tools for Monitoring and Managing Systems Resources

Top 4 Open Source Tools for Monitoring and Managing Systems Resources

Astra Monitor

Astra Monitor is a fairly robust tool for monitoring system resources in the GNOME shell. It monitors various performance metrics of your system, including CPU, GPU, RAM, disk usage, network statistics or sensor data.

It offers a customizable interface, you can choose which sources you want to watch and how to display them. At the current stage of development, Astra Monitor avoids the use of gtop, as a standard library for the monitoring system, and uses its own implementation.

github.com/AstraExt/astra-monitorv7

gitctx

gitctx allows you to manage and switch different git configurations, named contexts in the program, from the command line. The developers were inspired by the kubectx project, which is able to switch between Kubernetes namespaces through the kubens tool. In addition to switching contexts, gitctx is also used to list all contexts, display the current context, or add a new context.

https://github.com/MaralKay/gitctx1.0.1

TuxClocker

TuxClocker is a tool for monitoring and controlling hardware, especially central and graphics processing units (CPU, GPU). Allows you to read and write component properties, link any writable properties with any readable property, reset writable properties to default values, or apply set profiles.

github.com/Lurkki14/tuxclocker1.4.0

beseal-convert

kubeseal-convert allows you to import secrets from existing systems such as AWS Secrets Manager, Hashicorp Vault, Azure Key Vault or GCP Secrets Manager into Sealed Secrets for Kubernetes. It simplifies the entire process, which normally consists of several separate steps, into one command.

github.com/EladLeev/kubeseal-convert3.1.6

A fool

Support democratic candidate was undemocratically suppressed.

2024-01-23 23:00:05
#Software #harvest #January #monitor #system #resources #Root.cz

Leave a Comment

This site uses Akismet to reduce spam. Learn how your comment data is processed.