bcotton/chat-gpt-histogram-bucket-label-meaning.html

## chat-gpt-histogram-bucket-label-meaning.html
<!DOCTYPE html><html><head>  <meta charset="utf-8"/>  <title>Chat GPT: Histogram bucket label meaning.</title>  <meta name="generator" content="chatGPT Saving Bookmark"/><style>body {  background-color: rgb(32,33,35);  color: rgb(236,236,241);  font-size: 16px;  font-family: sans-serif;  line-height: 28px;  margin: 0;}body > .w-full {  padding: 30px;}/* prompt */body > .w-full:nth-child(2n+1) {  background: rgb(52,53,65);}/* response */body > .w-full:nth-child(2n+2) {  background: rgb(68,70,84);}a, a:visited {  color: #7792cd;}pre {  margin: 0 0 1em 0;  display: inline-block;  width: 100%;}pre code.hljs {  margin-bottom: 1em;  border-radius: 5px;}.whitespace-pre-wrap {  white-space: pre-wrap;}.flex-col {  max-width: 850px;  margin: 0px auto;}</style><link rel="stylesheet" href="https://cdn.jsdelivr.net/gh/highlightjs/cdn-release@11.7.0/build/styles/default.min.css"/></head><body><div class="flex w-full items-center justify-center gap-1 border-b border-black/10 bg-gray-50 p-3 text-gray-500 dark:border-gray-900/50 dark:bg-gray-700 dark:text-gray-300">Model: GPT-4</div><div class="group w-full text-gray-800 dark:text-gray-100 border-b border-black/10 dark:border-gray-900/50 dark:bg-gray-800"><div class="text-base gap-4 md:gap-6 md:max-w-2xl lg:max-w-2xl xl:max-w-3xl p-4 md:py-6 flex lg:px-0 m-auto"><div class="relative flex w-[calc(100%-50px)] flex-col gap-1 md:gap-3 lg:w-[calc(100%-115px)]"><div class="flex flex-grow flex-col gap-3"><div class="min-h-[20px] flex flex-col items-start gap-4 whitespace-pre-wrap">In a prometheus histogram metric, usually ending in "_bucket", what is the meaning of the "le" label?</div></div></div></div></div><div class="group w-full text-gray-800 dark:text-gray-100 border-b border-black/10 dark:border-gray-900/50 bg-gray-50 dark:bg-[#444654]"><div class="text-base gap-4 md:gap-6 md:max-w-2xl lg:max-w-2xl xl:max-w-3xl p-4 md:py-6 flex lg:px-0 m-auto"><div class="relative flex w-[calc(100%-50px)] flex-col gap-1 md:gap-3 lg:w-[calc(100%-115px)]"><div class="flex flex-grow flex-col gap-3"><div class="min-h-[20px] flex flex-col items-start gap-4 whitespace-pre-wrap"><div class="markdown prose w-full break-words dark:prose-invert light"><p>In a Prometheus histogram metric, the "le" label stands for "less than or equal to." Histograms in Prometheus are used to track the distribution of a set of values, such as request durations or response sizes. They do this by dividing the value range into a set of configurable buckets, each represented by a separate time series.</p><p>The "le" label in a histogram metric indicates the upper bound of each bucket. For example, if you see a metric with the label <code>le="0.1"</code>, this means that this particular bucket includes all values less than or equal to 0.1. The counter associated with this bucket will be incremented each time an observed value falls into this range.</p><p>In addition to the "_bucket" series, Prometheus also generates a "_count" and "_sum" series for each histogram metric. The "_count" series represents the total number of observed events, and the "_sum" series represents the cumulative sum of all observed values.</p></div></div></div><div class="flex justify-between"></div></div></div></div><div class="group w-full text-gray-800 dark:text-gray-100 border-b border-black/10 dark:border-gray-900/50 dark:bg-gray-800"><div class="text-base gap-4 md:gap-6 md:max-w-2xl lg:max-w-2xl xl:max-w-3xl p-4 md:py-6 flex lg:px-0 m-auto"><div class="relative flex w-[calc(100%-50px)] flex-col gap-1 md:gap-3 lg:w-[calc(100%-115px)]"><div class="flex flex-grow flex-col gap-3"><div class="min-h-[20px] flex flex-col items-start gap-4 whitespace-pre-wrap">If I had a label on a metric that tracked http status codes called "status", how would I specify in PromQL  "good" requests that are not 500 series codes, and "bad" requests are 500 series codes.</div></div></div></div></div><div class="group w-full text-gray-800 dark:text-gray-100 border-b border-black/10 dark:border-gray-900/50 bg-gray-50 dark:bg-[#444654]"><div class="text-base gap-4 md:gap-6 md:max-w-2xl lg:max-w-2xl xl:max-w-3xl p-4 md:py-6 flex lg:px-0 m-auto"><div class="relative flex w-[calc(100%-50px)] flex-col gap-1 md:gap-3 lg:w-[calc(100%-115px)]"><div class="flex flex-grow flex-col gap-3"><div class="min-h-[20px] flex flex-col items-start gap-4 whitespace-pre-wrap"><div class="markdown prose w-full break-words dark:prose-invert light"><p>In PromQL, you can use label matchers to filter time series based on label values. To specify "good" requests that are not 500 series codes and "bad" requests that are 500 series codes, assuming you have a metric with a label called "status" tracking HTTP status codes, you can write queries like this:</p><p>For "good" requests:</p><pre><div class="bg-black rounded-md mb-4"><div class="flex items-center relative text-gray-200 bg-gray-800 px-4 py-2 text-xs font-sans justify-between rounded-t-md"><span>promql</span></div><div class="p-4 overflow-y-auto"><code class="!whitespace-pre hljs language-promql">your_metric_name{status!~"5.."}
</code></div></div></pre><p>This query selects all time series of the metric <code>your_metric_name</code> where the "status" label does not match the regular expression "5..", which represents any 500 series status code.</p><p>For "bad" requests:</p><pre><div class="bg-black rounded-md mb-4"><div class="flex items-center relative text-gray-200 bg-gray-800 px-4 py-2 text-xs font-sans justify-between rounded-t-md"><span>promql</span></div><div class="p-4 overflow-y-auto"><code class="!whitespace-pre hljs language-promql">your_metric_name{status=~"5.."}
</code></div></div></pre><p>This query selects all time series of the metric <code>your_metric_name</code> where the "status" label matches the regular expression "5..", which represents any 500 series status code.</p><p>These queries can be used as a basis for aggregations, rates, or any other operations you'd like to perform on "good" and "bad" requests in PromQL.</p></div></div></div><div class="flex justify-between"></div></div></div></div><div class="group w-full text-gray-800 dark:text-gray-100 border-b border-black/10 dark:border-gray-900/50 dark:bg-gray-800"><div class="text-base gap-4 md:gap-6 md:max-w-2xl lg:max-w-2xl xl:max-w-3xl p-4 md:py-6 flex lg:px-0 m-auto"><div class="relative flex w-[calc(100%-50px)] flex-col gap-1 md:gap-3 lg:w-[calc(100%-115px)]"><div class="flex flex-grow flex-col gap-3"><div class="min-h-[20px] flex flex-col items-start gap-4 whitespace-pre-wrap">Write a PromQL query that produces a ratio of good requests to all requests for the histogram metric "mythical_request_times" where good is not 500 http status codes and less then 200ms in measured request time</div></div></div></div></div><div class="group w-full text-gray-800 dark:text-gray-100 border-b border-black/10 dark:border-gray-900/50 bg-gray-50 dark:bg-[#444654]"><div class="text-base gap-4 md:gap-6 md:max-w-2xl lg:max-w-2xl xl:max-w-3xl p-4 md:py-6 flex lg:px-0 m-auto"><div class="relative flex w-[calc(100%-50px)] flex-col gap-1 md:gap-3 lg:w-[calc(100%-115px)]"><div class="flex flex-grow flex-col gap-3"><div class="min-h-[20px] flex flex-col items-start gap-4 whitespace-pre-wrap"><div class="markdown prose w-full break-words dark:prose-invert light"><p>To compute the ratio of good requests to all requests for the histogram metric "mythical_request_times", where good requests are those with non-500 HTTP status codes and less than 200ms in request time, you can use the following PromQL query:</p><pre><div class="bg-black rounded-md mb-4"><div class="flex items-center relative text-gray-200 bg-gray-800 px-4 py-2 text-xs font-sans justify-between rounded-t-md"><span>promql</span></div><div class="p-4 overflow-y-auto"><code class="!whitespace-pre hljs language-promql">sum(mythical_request_times_bucket{status!~"5..", le="0.2"}) / sum(mythical_request_times_count{status!~"5.."})
</code></div></div></pre><p>This query does the following:</p><ol><li>Filters "good" requests by selecting time series where the "status" label does not match 500 series codes (using <code>status!~"5.."</code>) and the request time is less than or equal to 200ms (using <code>le="0.2"</code>).</li><li>Sums the counts of good requests across all buckets with less than or equal to 200ms request time using <code>sum(mythical_request_times_bucket{status!~"5..", le="0.2"})</code>.</li><li>Sums the counts of all non-500 requests using <code>sum(mythical_request_times_count{status!~"5.."})</code>.</li><li>Divides the total count of good requests by the total count of all non-500 requests to compute the ratio of good requests to all requests.</li></ol><p>Note that the "le" label value is expressed in seconds, so 200ms is represented as "0.2".</p></div></div></div><div class="flex justify-between"></div></div></div></div></body></html>
	<!DOCTYPE html><html><head> <meta charset="utf-8"/> <title>Chat GPT: Histogram bucket label meaning.</title> <meta name="generator" content="chatGPT Saving Bookmark"/><style>body { background-color: rgb(32,33,35); color: rgb(236,236,241); font-size: 16px; font-family: sans-serif; line-height: 28px; margin: 0;}body > .w-full { padding: 30px;}/* prompt /body > .w-full:nth-child(2n+1) { background: rgb(52,53,65);}/ response */body > .w-full:nth-child(2n+2) { background: rgb(68,70,84);}a, a:visited { color: #7792cd;}pre { margin: 0 0 1em 0; display: inline-block; width: 100%;}pre code.hljs { margin-bottom: 1em; border-radius: 5px;}.whitespace-pre-wrap { white-space: pre-wrap;}.flex-col { max-width: 850px; margin: 0px auto;}</style><link rel="stylesheet" href="https://cdn.jsdelivr.net/gh/highlightjs/cdn-release@11.7.0/build/styles/default.min.css"/></head><body><div class="flex w-full items-center justify-center gap-1 border-b border-black/10 bg-gray-50 p-3 text-gray-500 dark:border-gray-900/50 dark:bg-gray-700 dark:text-gray-300">Model: GPT-4</div><div class="group w-full text-gray-800 dark:text-gray-100 border-b border-black/10 dark:border-gray-900/50 dark:bg-gray-800"><div class="text-base gap-4 md:gap-6 md:max-w-2xl lg:max-w-2xl xl:max-w-3xl p-4 md:py-6 flex lg:px-0 m-auto"><div class="relative flex w-[calc(100%-50px)] flex-col gap-1 md:gap-3 lg:w-[calc(100%-115px)]"><div class="flex flex-grow flex-col gap-3"><div class="min-h-[20px] flex flex-col items-start gap-4 whitespace-pre-wrap">In a prometheus histogram metric, usually ending in "_bucket", what is the meaning of the "le" label?</div></div></div></div></div><div class="group w-full text-gray-800 dark:text-gray-100 border-b border-black/10 dark:border-gray-900/50 bg-gray-50 dark:bg-[#444654]"><div class="text-base gap-4 md:gap-6 md:max-w-2xl lg:max-w-2xl xl:max-w-3xl p-4 md:py-6 flex lg:px-0 m-auto"><div class="relative flex w-[calc(100%-50px)] flex-col gap-1 md:gap-3 lg:w-[calc(100%-115px)]"><div class="flex flex-grow flex-col gap-3"><div class="min-h-[20px] flex flex-col items-start gap-4 whitespace-pre-wrap"><div class="markdown prose w-full break-words dark:prose-invert light"><p>In a Prometheus histogram metric, the "le" label stands for "less than or equal to." Histograms in Prometheus are used to track the distribution of a set of values, such as request durations or response sizes. They do this by dividing the value range into a set of configurable buckets, each represented by a separate time series.</p><p>The "le" label in a histogram metric indicates the upper bound of each bucket. For example, if you see a metric with the label <code>le="0.1"</code>, this means that this particular bucket includes all values less than or equal to 0.1. The counter associated with this bucket will be incremented each time an observed value falls into this range.</p><p>In addition to the "_bucket" series, Prometheus also generates a "_count" and "_sum" series for each histogram metric. The "_count" series represents the total number of observed events, and the "_sum" series represents the cumulative sum of all observed values.</p></div></div></div><div class="flex justify-between"></div></div></div></div><div class="group w-full text-gray-800 dark:text-gray-100 border-b border-black/10 dark:border-gray-900/50 dark:bg-gray-800"><div class="text-base gap-4 md:gap-6 md:max-w-2xl lg:max-w-2xl xl:max-w-3xl p-4 md:py-6 flex lg:px-0 m-auto"><div class="relative flex w-[calc(100%-50px)] flex-col gap-1 md:gap-3 lg:w-[calc(100%-115px)]"><div class="flex flex-grow flex-col gap-3"><div class="min-h-[20px] flex flex-col items-start gap-4 whitespace-pre-wrap">If I had a label on a metric that tracked http status codes called "status", how would I specify in PromQL "good" requests that are not 500 series codes, and "bad" requests are 500 series codes.</div></div></div></div></div><div class="group w-full text-gray-800 dark:text-gray-100 border-b border-black/10 dark:border-gray-900/50 bg-gray-50 dark:bg-[#444654]"><div class="text-base gap-4 md:gap-6 md:max-w-2xl lg:max-w-2xl xl:max-w-3xl p-4 md:py-6 flex lg:px-0 m-auto"><div class="relative flex w-[calc(100%-50px)] flex-col gap-1 md:gap-3 lg:w-[calc(100%-115px)]"><div class="flex flex-grow flex-col gap-3"><div class="min-h-[20px] flex flex-col items-start gap-4 whitespace-pre-wrap"><div class="markdown prose w-full break-words dark:prose-invert light"><p>In PromQL, you can use label matchers to filter time series based on label values. To specify "good" requests that are not 500 series codes and "bad" requests that are 500 series codes, assuming you have a metric with a label called "status" tracking HTTP status codes, you can write queries like this:</p><p>For "good" requests:</p><pre><div class="bg-black rounded-md mb-4"><div class="flex items-center relative text-gray-200 bg-gray-800 px-4 py-2 text-xs font-sans justify-between rounded-t-md"><span>promql</span></div><div class="p-4 overflow-y-auto"><code class="!whitespace-pre hljs language-promql">your_metric_name{status!~"5.."}
	</code></div></div></pre><p>This query selects all time series of the metric <code>your_metric_name</code> where the "status" label does not match the regular expression "5..", which represents any 500 series status code.</p><p>For "bad" requests:</p><pre><div class="bg-black rounded-md mb-4"><div class="flex items-center relative text-gray-200 bg-gray-800 px-4 py-2 text-xs font-sans justify-between rounded-t-md"><span>promql</span></div><div class="p-4 overflow-y-auto"><code class="!whitespace-pre hljs language-promql">your_metric_name{status=~"5.."}
	</code></div></div></pre><p>This query selects all time series of the metric <code>your_metric_name</code> where the "status" label matches the regular expression "5..", which represents any 500 series status code.</p><p>These queries can be used as a basis for aggregations, rates, or any other operations you'd like to perform on "good" and "bad" requests in PromQL.</p></div></div></div><div class="flex justify-between"></div></div></div></div><div class="group w-full text-gray-800 dark:text-gray-100 border-b border-black/10 dark:border-gray-900/50 dark:bg-gray-800"><div class="text-base gap-4 md:gap-6 md:max-w-2xl lg:max-w-2xl xl:max-w-3xl p-4 md:py-6 flex lg:px-0 m-auto"><div class="relative flex w-[calc(100%-50px)] flex-col gap-1 md:gap-3 lg:w-[calc(100%-115px)]"><div class="flex flex-grow flex-col gap-3"><div class="min-h-[20px] flex flex-col items-start gap-4 whitespace-pre-wrap">Write a PromQL query that produces a ratio of good requests to all requests for the histogram metric "mythical_request_times" where good is not 500 http status codes and less then 200ms in measured request time</div></div></div></div></div><div class="group w-full text-gray-800 dark:text-gray-100 border-b border-black/10 dark:border-gray-900/50 bg-gray-50 dark:bg-[#444654]"><div class="text-base gap-4 md:gap-6 md:max-w-2xl lg:max-w-2xl xl:max-w-3xl p-4 md:py-6 flex lg:px-0 m-auto"><div class="relative flex w-[calc(100%-50px)] flex-col gap-1 md:gap-3 lg:w-[calc(100%-115px)]"><div class="flex flex-grow flex-col gap-3"><div class="min-h-[20px] flex flex-col items-start gap-4 whitespace-pre-wrap"><div class="markdown prose w-full break-words dark:prose-invert light"><p>To compute the ratio of good requests to all requests for the histogram metric "mythical_request_times", where good requests are those with non-500 HTTP status codes and less than 200ms in request time, you can use the following PromQL query:</p><pre><div class="bg-black rounded-md mb-4"><div class="flex items-center relative text-gray-200 bg-gray-800 px-4 py-2 text-xs font-sans justify-between rounded-t-md"><span>promql</span></div><div class="p-4 overflow-y-auto"><code class="!whitespace-pre hljs language-promql">sum(mythical_request_times_bucket{status!~"5..", le="0.2"}) / sum(mythical_request_times_count{status!~"5.."})
	</code></div></div></pre><p>This query does the following:</p><ol><li>Filters "good" requests by selecting time series where the "status" label does not match 500 series codes (using <code>status!~"5.."</code>) and the request time is less than or equal to 200ms (using <code>le="0.2"</code>).</li><li>Sums the counts of good requests across all buckets with less than or equal to 200ms request time using <code>sum(mythical_request_times_bucket{status!~"5..", le="0.2"})</code>.</li><li>Sums the counts of all non-500 requests using <code>sum(mythical_request_times_count{status!~"5.."})</code>.</li><li>Divides the total count of good requests by the total count of all non-500 requests to compute the ratio of good requests to all requests.</li></ol><p>Note that the "le" label value is expressed in seconds, so 200ms is represented as "0.2".</p></div></div></div><div class="flex justify-between"></div></div></div></div></body></html>