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    <title>graphite</title>
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    <updated>2026-06-06T08:53:11+00:00</updated>
    <id>https://links.biapy.com/guest/tags/2058/feed</id>
            <entry>
            <id>https://links.biapy.com/links/4651</id>
            <title type="text"><![CDATA[Cabot]]></title>
            <link rel="alternate" href="https://cabotapp.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4651"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[monitor and alert. Get alerted when services go down or metrics go crazy.
Self-hosted, easily-deployable monitoring and alerts service - like a lightweight PagerDuty 

Cabot is a free, open-source, self-hosted infrastructure monitoring platform that provides some of the best features of PagerDuty, Server Density, Pingdom and Nagios without their cost and complexity. (Nagios, I&amp;#039;m mainly looking at you.)

It provides a web interface that allows you to monitor services (e.g. &amp;quot;Stage Redis server&amp;quot;, &amp;quot;Production ElasticSearch cluster&amp;quot;) and send telephone, sms or hipchat/email alerts to your on-duty team if those services start misbehaving or go down - all without writing a line of code. Best of all, you can use data that you&amp;#039;re already pushing to Graphite/statsd to generate alerts, rather than implementing and maintaining a whole new system of data collectors.

- [Cabot @ GitHub](https://github.com/arachnys/cabot).]]>
            </summary>
            <updated>2025-08-29T04:51:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7781</id>
            <title type="text"><![CDATA[Prometheus]]></title>
            <link rel="alternate" href="http://prometheus.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7781"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An open-source service monitoring system and time series database.]]>
            </summary>
            <updated>2025-08-29T13:35:28+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8022</id>
            <title type="text"><![CDATA[Grafana]]></title>
            <link rel="alternate" href="https://grafana.com/oss/grafana/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8022"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Visualize your data, optimize your performance.

Easily collect, correlate, and visualize data with beautiful dashboards using Grafana — the open source data visualization and monitoring solution that drives informed decisions, enhances system performance, and streamlines troubleshooting.

- [Grafana @ GitHub](https://github.com/grafana/grafana).

Related contents:

- [I can’t recommend Grafana anymore @ Henrik Gerdes](https://henrikgerdes.me/blog/2025-11-grafana-mess/).]]>
            </summary>
            <updated>2025-12-01T09:56:55+00:00</updated>
        </entry>
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