<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Observability on Karpoke - Just Another Blog</title><link>http://karpoke.ignaciocano.com/tags/observability/</link><description>Recent content in Observability on Karpoke - Just Another Blog</description><generator>Hugo -- 0.167.0</generator><language>es</language><lastBuildDate>Thu, 30 Aug 2018 09:16:00 +0100</lastBuildDate><atom:link href="http://karpoke.ignaciocano.com/tags/observability/index.xml" rel="self" type="application/rss+xml"/><item><title>4 open source monitoring tools</title><link>http://karpoke.ignaciocano.com/2018/08/30/4-open-source-monitoring-tools/</link><pubDate>Thu, 30 Aug 2018 09:16:00 +0100</pubDate><guid>http://karpoke.ignaciocano.com/2018/08/30/4-open-source-monitoring-tools/</guid><description>&lt;blockquote&gt;
&lt;p&gt;Isn’t monitoring just monitoring? Doesn’t it include logging, visualization,
and time-series data? The terminology around monitoring has caused a lot of
confusion over the years and has led to some poor tools that tout the
ability to do everything in one format. Observability proponents recognize
there are many levels for observing a system. Metrics aggregation is
primarily time-series data, and that’s what we’ll discuss in this article.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;» Opensource.com | &lt;a href="https://opensource.com/article/18/8/open-source-monitoring-tools"&gt;opensource.com&lt;/a&gt;&lt;/p&gt;</description></item></channel></rss>