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	<title>alerting &#8211; Robust Perception | Prometheus Monitoring Experts</title>
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	<title>alerting &#8211; Robust Perception | Prometheus Monitoring Experts</title>
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		<title>Checking for specific HTTP status codes with the blackbox exporter</title>
		<link>/checking-for-specific-http-status-codes-with-the-blackbox-exporter</link>
		
		<dc:creator><![CDATA[Brian Brazil]]></dc:creator>
		<pubDate>Mon, 02 Nov 2020 09:51:03 +0000</pubDate>
				<category><![CDATA[Posts]]></category>
		<category><![CDATA[alerting]]></category>
		<category><![CDATA[blackbox_exporter]]></category>
		<category><![CDATA[prometheus]]></category>
		<guid isPermaLink="false">https://www.robustperception.io/?p=5754</guid>

					<description><![CDATA[How would you check that a HTTP endpoint is returning a 204? We've previously looked at using the blackbox exporter to check that a 2xx response code is being returned, you might however consider only particular 2xx codes as okay. Your first thought might be to use an alert based on the probe_http_status_code metric, however [&#8230;]]]></description>
		
		
		
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		<item>
		<title>Delete All Your Alerts</title>
		<link>/delete-all-your-alerts</link>
		
		<dc:creator><![CDATA[Brian Brazil]]></dc:creator>
		<pubDate>Mon, 20 Jul 2020 09:18:36 +0000</pubDate>
				<category><![CDATA[Posts]]></category>
		<category><![CDATA[alerting]]></category>
		<category><![CDATA[best practices]]></category>
		<category><![CDATA[prometheus]]></category>
		<guid isPermaLink="false">https://www.robustperception.io/?p=5514</guid>

					<description><![CDATA[Trying to improve alerting piecemeal can be difficult. If you're in a situation where you are being inundated with low-value alerts, trying to gradually improve things can be a never-ending struggle. I once joined a team that was getting a few hundred email alerts per week, which the oncall was meant to handle all of. [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<title>Setting Thresholds on Alerts</title>
		<link>/setting-thresholds-on-alerts</link>
		
		<dc:creator><![CDATA[Brian Brazil]]></dc:creator>
		<pubDate>Mon, 02 Mar 2020 08:12:05 +0000</pubDate>
				<category><![CDATA[Posts]]></category>
		<category><![CDATA[alerting]]></category>
		<category><![CDATA[best practices]]></category>
		<category><![CDATA[prometheus]]></category>
		<guid isPermaLink="false">https://www.robustperception.io/?p=5144</guid>

					<description><![CDATA[Alert thresholds can be surprisingly tricky to get right. Let's say you're fully on board with symptom based alerting and you've a latency SLO/SLA of say 500ms over a month for some service which has a typical value of 200ms (whether that is the average or some percentile is not relevant here). What threshold should [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<title>How should pipelines be monitored?</title>
		<link>/how-should-pipelines-be-monitored</link>
		
		<dc:creator><![CDATA[Brian Brazil]]></dc:creator>
		<pubDate>Mon, 22 Jul 2019 09:44:28 +0000</pubDate>
				<category><![CDATA[Posts]]></category>
		<category><![CDATA[alerting]]></category>
		<category><![CDATA[best practices]]></category>
		<category><![CDATA[prometheus]]></category>
		<category><![CDATA[promql]]></category>
		<guid isPermaLink="false">https://www.robustperception.io/?p=4493</guid>

					<description><![CDATA[For online serving systems it's fairly well known that you should look for request rate, errors and duration. What about offline processing pipelines though? For a typical web application, high latency or error rates are the sort of thing you want to wake someone up about as they usually negatively affect the end-user's experience. Request [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<title>Idempotent Cron Jobs are Operable Cron Jobs</title>
		<link>/idempotent-cron-jobs-are-operable-cron-jobs</link>
		
		<dc:creator><![CDATA[Brian Brazil]]></dc:creator>
		<pubDate>Mon, 17 Jun 2019 07:02:19 +0000</pubDate>
				<category><![CDATA[Posts]]></category>
		<category><![CDATA[alerting]]></category>
		<category><![CDATA[best practices]]></category>
		<category><![CDATA[prometheus]]></category>
		<category><![CDATA[reliability]]></category>
		<guid isPermaLink="false">https://www.robustperception.io/?p=4468</guid>

					<description><![CDATA[Having to reconstruct how far a failed cron job had gotten and what exact parameters it was run with can be error prone and time consuming. There is a better way. I assume I'm not the only one who at some point or other has been woken up due to a single run of a [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<title>Why do resolved notifications contain old values?</title>
		<link>/why-do-resolved-notifications-contain-old-values</link>
		
		<dc:creator><![CDATA[Brian Brazil]]></dc:creator>
		<pubDate>Mon, 14 Jan 2019 10:27:07 +0000</pubDate>
				<category><![CDATA[Posts]]></category>
		<category><![CDATA[alerting]]></category>
		<category><![CDATA[alertmanager]]></category>
		<category><![CDATA[prometheus]]></category>
		<guid isPermaLink="false">https://www.robustperception.io/?p=4184</guid>

					<description><![CDATA[It often confuses users as to why resolved notifications don't contain updated annotations values. Let's dig into why. Let's say you had an alert like: - alert: MyAlert expr: foo &#62; 100 annotations: description: 'Foo is {{$value}}' As the alert is firing, the Alertmanager will receive annotations such as "Foo is 102" and "Foo is [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<title>Don&#8217;t put the value in alert labels</title>
		<link>/dont-put-the-value-in-alert-labels</link>
		
		<dc:creator><![CDATA[Brian Brazil]]></dc:creator>
		<pubDate>Mon, 31 Dec 2018 11:07:47 +0000</pubDate>
				<category><![CDATA[Posts]]></category>
		<category><![CDATA[alerting]]></category>
		<category><![CDATA[alertmanager]]></category>
		<category><![CDATA[prometheus]]></category>
		<guid isPermaLink="false">https://www.robustperception.io/?p=4177</guid>

					<description><![CDATA[The labels of an alert are its identity, so you have to be a little careful what you put in there. Alerting rules have both labels and annotations fields, and when configuring them on the Prometheus side there's no difference between them. However their semantics and how both Prometheus and the Alertmanager deal with them [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<title>Unit testing alerts with Prometheus</title>
		<link>/unit-testing-alerts-with-prometheus</link>
		
		<dc:creator><![CDATA[Brian Brazil]]></dc:creator>
		<pubDate>Mon, 26 Nov 2018 09:23:10 +0000</pubDate>
				<category><![CDATA[Posts]]></category>
		<category><![CDATA[alerting]]></category>
		<category><![CDATA[promql]]></category>
		<category><![CDATA[promtool]]></category>
		<category><![CDATA[testing]]></category>
		<guid isPermaLink="false">https://www.robustperception.io/?p=4139</guid>

					<description><![CDATA[In the previous post we looked at testing rules. You can also test alerts. Let's take a simple example of an alert with some templating: wget https://github.com/prometheus/prometheus/releases/download/v2.5.0/prometheus-2.5.0.linux-amd64.tar.gz tar -xzf prometheus-*.tar.gz cd prometheus-* cat &#62;rules.yml &#60;&#60;'EOF' groups: - name: example rules: - alert: MyAlert expr: avg without(instance)(up) &#60; 0.75 for: 2m labels: severity: page annotations: description: 'Only [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<title>Checking for HTTP 200s with the Blackbox Exporter</title>
		<link>/checking-for-http-200s-with-the-blackbox-exporter</link>
		
		<dc:creator><![CDATA[Brian Brazil]]></dc:creator>
		<pubDate>Mon, 08 Oct 2018 09:11:04 +0000</pubDate>
				<category><![CDATA[Posts]]></category>
		<category><![CDATA[alerting]]></category>
		<category><![CDATA[blackbox_exporter]]></category>
		<category><![CDATA[prometheus]]></category>
		<guid isPermaLink="false">https://www.robustperception.io/?p=4072</guid>

					<description><![CDATA[It's easy to check if HTTP and HTTPS endpoints are working with the Blackbox Exporter. The Blackbox exporter supports several different types of probes, which includes HTTP. To demonstrate this let's start by downloading and running the blackbox exporter: wget https://github.com/prometheus/blackbox_exporter/releases/download/v0.12.0/blackbox_exporter-0.12.0.linux-amd64.tar.gz tar -xzf blackbox_exporter-*.linux-amd64.tar.gz cd blackbox_exporter-* ./blackbox_exporter How the Blackbox exporter works is that the [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<title>Alerting on approaching open file limits</title>
		<link>/alerting-on-approaching-open-file-limits</link>
		
		<dc:creator><![CDATA[Brian Brazil]]></dc:creator>
		<pubDate>Mon, 24 Sep 2018 07:55:23 +0000</pubDate>
				<category><![CDATA[Posts]]></category>
		<category><![CDATA[alerting]]></category>
		<category><![CDATA[prometheus]]></category>
		<category><![CDATA[promql]]></category>
		<guid isPermaLink="false">https://www.robustperception.io/?p=4046</guid>

					<description><![CDATA[In a previous post we looked at dealing with reaching the open file limit. How about alerting before it happens? process_open_fds and process_max_fds  are two metrics that many Prometheus client libraries produce out of the box, which are the current number of used file descriptors and the limit. With these it's easy to write an [&#8230;]]]></description>
		
		
		
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