Merge pull request #195 from mikeroyal/mikeroyal-patch-169

Added Dashboards section.
This commit is contained in:
Michael Royal 2023-03-17 01:30:46 -07:00 committed by GitHub
commit 9cd06498b2
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23

View file

@ -40,6 +40,7 @@
* [Password Management](https://github.com/mikeroyal/Self-Hosting-Guide#password-management)
* [Network Tools](https://github.com/mikeroyal/Self-Hosting-Guide#network-tools)
* [Monitoring](https://github.com/mikeroyal/Self-Hosting-Guide#monitoring)
* [Dashboards](#Dashboards)
* [Analytics](#Analytics)
* [Search](#Search)
* [Notifications](#Notifications)
@ -1159,6 +1160,25 @@ Minio's test-server called "play" is already configured in the default client, y
[Eclipse IoT Project](https://projects.eclipse.org/projects/iot) provides open source technology that will be used to build IoT solutions for industry and consumers.
### Dashboards
[Back to The Top](#table-of-contents)
[Adagios](http://adagios.org/) - Web based Nagios configuration interface.
[Dash](https://github.com/afaqurk/linux-dash) - A low-overhead monitoring web dashboard for a GNU/Linux machine.
[Thruk](http://www.thruk.org/) - Multibackend monitoring web interface with support for Naemon, Nagios, Icinga and Shinken.
[Uchiwa](https://uchiwa.io) - Simple dashboard for the Sensu monitoring framework.
[InfluxDB](https://www.influxdata.com) is an open source time series database, purpose-built by InfluxData for monitoring metrics and events, provides real-time visibility into stacks, sensors, and systems. Use InfluxDB to capture, analyze, and store millions of points per second, meet demanding SLA's, and chart a path to automation.
[Grafana](https://grafana.com/oss/grafana/) is a tool that allows you to query, visualize, alert on and understand your metrics no matter where they are stored.
[Prometheus](https://prometheus.io/) is a free software application used for event monitoring and alerting. It records real-time metrics in a time series database (allowing for high dimensionality) built using a HTTP pull model, with flexible queries and real-time alerting.
### Analytics
[Back to the Top](#table-of-contents)