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@@ -309,7 +309,7 @@ for ingester).&lt;/p></description></item><item><title>Docs: Config for horizont
 &lt;/code>&lt;/pre>&lt;p>Yaml files are expected to be in the &lt;a href="https://prometheus.io/docs/prometheus/latest/configuration/recording_rules/#recording-rules">Prometheus format&lt;/a>.&lt;/p></description></item><item><title>Docs: Config for sending HA Pairs data to Cortex</title><link>/docs/guides/ha-pair-handling/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>/docs/guides/ha-pair-handling/</guid><description>
 &lt;h2 id="context">Context&lt;/h2>
 &lt;p>You can have more than a single Prometheus monitoring and ingesting the same metrics for redundancy. Cortex already does replication for redundancy, and it doesn&amp;rsquo;t make sense to ingest the same data twice. So in Cortex, we made sure we can dedupe the data we receive from HA Pairs of Prometheus. We do this via the following:&lt;/p>
-&lt;p>Assume that there are two teams, each running their own Prometheus, monitoring different services. Let&amp;rsquo;s call the Promethei T1 and T2. Now, if the teams are running HA pairs, let&amp;rsquo;s call the individual Promethei, T1.a, T1.b, and T2.a and T2.b.&lt;/p>
+&lt;p>Assume that there are two teams, each running their own Prometheus, monitoring different services. Let&amp;rsquo;s call the Prometheus T1 and T2. Now, if the teams are running HA pairs, let&amp;rsquo;s call the individual Prometheus, T1.a, T1.b, and T2.a and T2.b.&lt;/p>
 &lt;p>In Cortex, we make sure we only ingest from one of T1.a and T1.b, and only from one of T2.a and T2.b. We do this by electing a leader replica for each cluster of Prometheus. For example, in the case of T1, let it be T1.a. As long as T1.a is the leader, we drop the samples sent by T1.b. And if Cortex sees no new samples from T1.a for a short period (30s by default), it&amp;rsquo;ll switch the leader to be T1.b.&lt;/p>
 &lt;p>This means if T1.a goes down for a few minutes, Cortex&amp;rsquo;s HA sample handling will have switched and elected T1.b as the leader. This failover timeout is what enables us to only accept samples from a single replica at a time, but ensure we don&amp;rsquo;t drop too much data in case of issues. Note that with the default scrape period of 15s, and the default timeouts in Cortex, in most cases, you&amp;rsquo;ll only lose a single scrape of data in the case of a leader election failover. For any rate queries, the rate window should be at least 4x the scrape period to account for any of these failover scenarios, for example, with the default scrape period of 15s, then you should calculate rates over at least 1m periods.&lt;/p>
 &lt;p>Now we do the same leader election process for T2.&lt;/p>

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src=/images/cortex-horizontal.svg width=300 class=img-fluid></div></div><div class=row><div class=col-12><div class=text-center><h1 class="display-1 mt-0 mt-5 pb-4">Horizontally scalable, highly available, multi-tenant, long term storage for Prometheus.</h1><div class="pt-3 lead"><div class=mx-auto><a class="btn btn-lg btn-primary mr-3 mb-4" href=/docs/>Learn More <i class="fas fa-arrow-alt-circle-right ml-2"></i></a>
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