<html><head><meta http-equiv="Content-Type" content="text/html charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class="">On 18 May 2017, at 6:52 PM, <a href="mailto:andrew@mcnaughty.com" class="">andrew@mcnaughty.com</a> wrote:<br class=""><div><blockquote type="cite" class=""><br class=""><div class=""><div class=""><div class="">
I also use Nagios, mostly because it allows for monitoring disk usage level, backup freshness, security update status, etc which aren't as easily monitored via a third party service.<br class=""></div></div></div></blockquote><br class=""></div><div>You really should consider <a href="http://prometheus.io" class="">http://prometheus.io</a> for that stuff.</div><div><br class=""></div><div>It’s a time-series database with a query language modelled on Google’s borgmon. Scales beautifully, is supported as a back-end by graphing packages like Grafana. Comes with an alert manager you can use to funnel alerts into your favorite pager system.</div><div><br class=""></div><div>Statistics collectors are easy to write: I knocked one up in an afternoon for graphing my home solar power system. There’s a golang library on Github, but you don’t really need it if you can arrange for metricname=value attribute-value pairs to show up on an HTTP server somewhere.</div><div><br class=""></div><div> - mark</div><div><br class=""></div><div><br class=""></div><br class=""></body></html>