<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Monitoring on</title><link>/tags/monitoring/</link><description>Recent content in Monitoring on</description><generator>Hugo</generator><language>en</language><lastBuildDate>Tue, 15 Feb 2022 00:00:00 +0000</lastBuildDate><atom:link href="/tags/monitoring/index.xml" rel="self" type="application/rss+xml"/><item><title>System monitoring with the TICK stack</title><link>/2022/02/system-monitoring-with-the-tick-stack/</link><pubDate>Tue, 15 Feb 2022 00:00:00 +0000</pubDate><guid>/2022/02/system-monitoring-with-the-tick-stack/</guid><description>&lt;h1 id="time-series-database">Time series database&lt;/h1>
&lt;p>A time series database is a type of database that is optimized for storing data based on time stamped data. This method of storing data is useful in situations where values need to be monitored for change over time. While any database could be used to store this information, time series databases are time stamp aware which leading to improved organization and query speeds.&lt;/p>
&lt;p>Time series databases have come up more in recent times due to the increase in the number of internet connected devices. Sensors can now be found throughout households, cities, and businesses. The measurements from these devices is usually precise with a frequent sample rate. A time series database is also able to aggregate this data so that large amounts of data can be removed by still keeping a summary of the samples.&lt;/p></description></item></channel></rss>