738 lines
27 KiB
JavaScript
738 lines
27 KiB
JavaScript
/*eslint no-console: "off"*/
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(function () {
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var emptySeries = { unitSuffix: "", labels: {}, data: [] }
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var prometheusProvider = {
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options: {},
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/**
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* init is called when the provider is first loaded.
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*
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* options.providerOptions contains any operator configured parameters
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* specified in the Consul agent config that is serving the UI.
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*
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* Consul will provide:
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*
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* 1. A boolean options.metrics_proxy_enabled to indicate whether the agent
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* has a metrics proxy configured.
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* 2. A fetch-like options.fetch which is a thin fetch wrapper that prefixes
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* any url with the url of Consul's proxy endpoint and adds your current
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* Consul ACL token to the request headers. Otherwise it functions like the
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* browsers native fetch
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*
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* The provider should throw an Exception if the options are not valid for
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* example because it requires a metrics proxy and one is not configured.
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*/
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init: function(options) {
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this.options = options;
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if (!this.options.metrics_proxy_enabled) {
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throw new Error("prometheus metrics provider currently requires the ui_config.metrics_proxy to be configured in the Consul agent.");
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}
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},
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// simple httpGet function that also encodes query parameters
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// before passing the constructed url through to native fetch
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// any errors should throw an error with a statusCode property
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httpGet: function(url, queryParams, headers) {
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if (queryParams) {
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var separator = url.indexOf('?') !== -1 ? '&' : '?';
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var qs = Object.keys(queryParams).
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map(function(key) {
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return encodeURIComponent(key) + "=" + encodeURIComponent(queryParams[key]);
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}).
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join("&");
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url = url + separator + qs;
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}
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// fetch the url along with any headers
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return this.options.fetch(url, {headers: headers || {}}).then(
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function(response) {
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if(response.ok) {
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return response.json();
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} else {
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// throw a statusCode error if any errors are received
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var e = new Error('HTTP Error: ' + response.statusText);
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e.statusCode = response.status;
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throw e;
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}
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}
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);
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},
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/**
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* serviceRecentSummarySeries should return time series for a recent time
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* period summarizing the usage of the named service in the indicated
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* datacenter. In Consul Enterprise a non-empty namespace is also provided.
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*
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* If these metrics aren't available then an empty series array may be
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* returned.
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*
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* The period may (later) be specified in options.startTime and
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* options.endTime.
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*
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* The service's protocol must be given as one of Consul's supported
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* protocols e.g. "tcp", "http", "http2", "grpc". If it is empty or the
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* provider doesn't recognize the protocol, it should treat it as "tcp" and
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* provide basic connection stats.
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*
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* The expected return value is a promise which resolves to an object that
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* should look like the following:
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*
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* {
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* // The unitSuffix is shown after the value in tooltips. Values will be
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* // rounded and shortened. Larger values will already have a suffix
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* // like "10k". The suffix provided here is concatenated directly
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* // allowing for suffixes like "mbps/kbps" by using a suffix of "bps".
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* // If the unit doesn't make sense in this format, include a
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* // leading space for example " rps" would show as "1.2k rps".
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* unitSuffix: " rps",
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*
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* // The set of labels to graph. The key should exactly correspond to a
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* // property of every data point in the array below except for the
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* // special case "Total" which is used to show the sum of all the
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* // stacked graph values. The key is displayed in the tooltop so it
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* // should be human-friendly but as concise as possible. The value is a
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* // longer description that is displayed in the graph's key on request
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* // to explain exactly what the metrics mean.
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* labels: {
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* "Total": "Total inbound requests per second.",
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* "Successes": "Successful responses (with an HTTP response code ...",
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* "Errors": "Error responses (with an HTTP response code in the ...",
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* },
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*
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* data: [
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* {
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* time: 1600944516286, // milliseconds since Unix epoch
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* "Successes": 1234.5,
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* "Errors": 2.3,
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* },
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* ...
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* ]
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* }
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*
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* Every data point object should have a value for every series label
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* (except for "Total") otherwise it will be assumed to be "0".
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*/
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serviceRecentSummarySeries: function(serviceDC, namespace, serviceName, protocol, options) {
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// Fetch time-series
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var series = []
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var labels = []
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// Set the start and end range here so that all queries end up with
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// identical time axes. Later we might accept these as options.
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var now = (new Date()).getTime()/1000;
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options.start = now - (15*60);
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options.end = now;
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if (this.hasL7Metrics(protocol)) {
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return this.fetchRequestRateSeries(serviceName, options);
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}
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// Fallback to just L4 metrics.
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return this.fetchDataRateSeries(serviceName, options);
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},
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/**
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* serviceRecentSummaryStats should return four summary statistics for a
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* recent time period for the named service in the indicated datacenter. In
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* Consul Enterprise a non-empty namespace is also provided.
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*
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* If these metrics aren't available then an empty array may be returned.
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*
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* The period may (later) be specified in options.startTime and
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* options.endTime.
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*
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* The service's protocol must be given as one of Consul's supported
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* protocols e.g. "tcp", "http", "http2", "grpc". If it is empty or the
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* provider doesn't recognize it it should treat it as "tcp" and provide
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* just basic connection stats.
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*
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* The expected return value is a promise which resolves to an object that
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* should look like the following:
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*
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* {
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* stats: [ // We expect four of these for now.
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* {
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* // label should be 3 chars or fewer as an abbreviation
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* label: "SR",
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*
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* // desc describes the stat in a tooltip
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* desc: "Success Rate - the percentage of all requests that were not 5xx status",
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*
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* // value is a string allowing the provider to format it and add
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* // units as appropriate. It should be as compact as possible.
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* value: "98%",
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* }
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* ]
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* }
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*/
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serviceRecentSummaryStats: function(serviceDC, namespace, serviceName, protocol, options) {
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// Fetch stats
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var stats = [];
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if (this.hasL7Metrics(protocol)) {
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stats.push(this.fetchRPS(serviceName, "service", options))
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stats.push(this.fetchER(serviceName, "service", options))
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stats.push(this.fetchPercentile(50, serviceName, "service", options))
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stats.push(this.fetchPercentile(99, serviceName, "service", options))
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} else {
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// Fallback to just L4 metrics.
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stats.push(this.fetchConnRate(serviceName, "service", options))
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stats.push(this.fetchServiceRx(serviceName, "service", options))
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stats.push(this.fetchServiceTx(serviceName, "service", options))
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stats.push(this.fetchServiceNoRoute(serviceName, "service", options))
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}
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return this.fetchStats(stats)
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},
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/**
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* upstreamRecentSummaryStats should return four summary statistics for each
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* upstream service over a recent time period, relative to the named service
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* in the indicated datacenter. In Consul Enterprise a non-empty namespace
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* is also provided.
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*
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* Note that the upstreams themselves might be in different datacenters but
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* we only pass the target service DC since typically these metrics should
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* be from the outbound listener of the target service in this DC even if
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* they eventually end up in another DC.
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*
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* If these metrics aren't available then an empty array may be returned.
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*
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* The period may (later) be specified in options.startTime and
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* options.endTime.
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*
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* The expected return value format is shown below:
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*
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* {
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* stats: {
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* // Each upstream will appear as an entry keyed by the upstream
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* // service name. The value is an array of stats with the same
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* // format as serviceRecentSummaryStats response.stats. Note that
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* // different upstreams might show different stats depending on
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* // their protocol.
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* "upstream_name": [
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* {label: "SR", desc: "...", value: "99%"},
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* ...
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* ],
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* ...
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* }
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* }
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*/
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upstreamRecentSummaryStats: function(serviceDC, namespace, serviceName, upstreamName, options) {
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return this.fetchRecentSummaryStats(serviceName, "upstream", options)
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},
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/**
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* downstreamRecentSummaryStats should return four summary statistics for
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* each downstream service over a recent time period, relative to the named
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* service in the indicated datacenter. In Consul Enterprise a non-empty
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* namespace is also provided.
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*
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* Note that the service may have downstreams in different datacenters. For
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* some metrics systems which are per-datacenter this makes it hard to query
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* for all downstream metrics from one source. For now the UI will only show
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* downstreams in the same datacenter as the target service. In the future
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* this method may be called multiple times, once for each DC that contains
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* downstream services to gather metrics from each. In that case a separate
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* option for target datacenter will be used since the target service's DC
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* is still needed to correctly identify the outbound clusters that will
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* route to it from the remote DC.
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*
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* If these metrics aren't available then an empty array may be returned.
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*
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* The period may (later) be specified in options.startTime and
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* options.endTime.
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*
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* The expected return value format is shown below:
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*
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* {
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* stats: {
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* // Each downstream will appear as an entry keyed by the downstream
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* // service name. The value is an array of stats with the same
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* // format as serviceRecentSummaryStats response.stats. Different
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* // downstreams may display different stats if required although the
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* // protocol should be the same for all as it is the target
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* // service's protocol that matters here.
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* "downstream_name": [
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* {label: "SR", desc: "...", value: "99%"},
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* ...
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* ],
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* ...
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* }
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* }
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*/
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downstreamRecentSummaryStats: function(serviceDC, namespace, serviceName, options) {
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return this.fetchRecentSummaryStats(serviceName, "downstream", options)
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},
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fetchRecentSummaryStats: function(serviceName, type, options) {
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// Fetch stats
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var stats = [];
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// We don't know which upstreams are HTTP/TCP so just fetch all of them.
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// HTTP
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stats.push(this.fetchRPS(serviceName, type, options))
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stats.push(this.fetchER(serviceName, type, options))
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stats.push(this.fetchPercentile(50, serviceName, type, options))
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stats.push(this.fetchPercentile(99, serviceName, type, options))
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// L4
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stats.push(this.fetchConnRate(serviceName, type, options))
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stats.push(this.fetchServiceRx(serviceName, type, options))
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stats.push(this.fetchServiceTx(serviceName, type, options))
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stats.push(this.fetchServiceNoRoute(serviceName, type, options))
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return this.fetchStatsGrouped(stats)
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},
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hasL7Metrics: function(protocol) {
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return protocol === "http" || protocol === "http2" || protocol === "grpc"
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},
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fetchStats: function(statsPromises) {
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var all = Promise.all(statsPromises).
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then(function(results){
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var data = {
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stats: []
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}
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// Add all non-empty stats
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for (var i = 0; i < statsPromises.length; i++) {
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if (results[i].value) {
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data.stats.push(results[i]);
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}
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}
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return data
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})
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// Fetch the metrics async, and return a promise to the result.
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return all
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},
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fetchStatsGrouped: function(statsPromises) {
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var all = Promise.all(statsPromises).
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then(function(results){
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var data = {
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stats: {}
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}
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// Add all non-empty stats
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for (var i = 0; i < statsPromises.length; i++) {
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if (results[i]) {
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for (var group in results[i]) {
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if (!results[i].hasOwnProperty(group)) continue;
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if (!data.stats[group]) {
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data.stats[group] = []
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}
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data.stats[group].push(results[i][group])
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}
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}
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}
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return data
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})
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// Fetch the metrics async, and return a promise to the result.
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return all
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},
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reformatSeries: function(unitSuffix, labelMap) {
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return function(response) {
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// Handle empty result sets gracefully.
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if (!response.data || !response.data.result || response.data.result.length == 0
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|| !response.data.result[0].values
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|| response.data.result[0].values.length == 0) {
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return emptySeries;
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}
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// Reformat the prometheus data to be the format we want with stacked
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// values as object properties.
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// Populate time values first based on first result since Prometheus will
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// always return all the same points for all series in the query.
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let series = response.data.result[0].values.map(function(d, i) {
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return {
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time: Math.round(d[0] * 1000),
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};
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});
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// Then for each series returned populate the labels and values in the
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// points.
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response.data.result.map(function(d) {
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d.values.map(function(p, i) {
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series[i][d.metric.label] = parseFloat(p[1]);
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});
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});
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return {
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unitSuffix: unitSuffix,
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labels: labelMap,
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data: series
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};
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};
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},
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fetchRequestRateSeries: function(serviceName, options){
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// We need the sum of all non-500 error rates as one value and the 500
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// error rate as a separate series so that they stack to show the full
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// request rate. Some creative label replacement makes this possible in
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// one query.
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var q = `sum by (label) (`+
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// The outer label_replace catches 5xx error and relabels them as
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// err=yes
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`label_replace(`+
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// The inner label_replace relabels all !5xx rates as err=no so they
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// will get summed together.
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`label_replace(`+
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// Get rate of requests to the service
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`irate(envoy_listener_http_downstream_rq_xx{local_cluster="${serviceName}",envoy_http_conn_manager_prefix="public_listener_http"}[10m])`+
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// ... inner replacement matches all code classes except "5" and
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// applies err=no
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`, "label", "Successes", "envoy_response_code_class", "[^5]")`+
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// ... outer replacement matches code=5 and applies err=yes
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`, "label", "Errors", "envoy_response_code_class", "5")`+
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`)`
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var labelMap = {
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Total: 'Total inbound requests per second',
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Successes: 'Successful responses (with an HTTP response code not in the 5xx range) per second.',
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Errors: 'Error responses (with an HTTP response code in the 5xx range) per second.',
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};
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return this.fetchSeries(q, options)
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.then(this.reformatSeries(" rps", labelMap))
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},
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fetchDataRateSeries: function(serviceName, options){
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// 8 * converts from bytes/second to bits/second
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var q = `8 * sum by (label) (`+
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// Label replace generates a unique label per rx/tx metric to stop them
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// being summed together.
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`label_replace(`+
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// Get the tx rate
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`irate(envoy_tcp_downstream_cx_tx_bytes_total{local_cluster="${serviceName}",envoy_tcp_prefix="public_listener_tcp"}[10m])`+
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// Match all and apply the tx label
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`, "label", "Outbound", "__name__", ".*"`+
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// Union those vectors with the RX ones
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`) or label_replace(`+
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// Get the rx rate
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`irate(envoy_tcp_downstream_cx_rx_bytes_total{local_cluster="${serviceName}",envoy_tcp_prefix="public_listener_tcp"}[10m])`+
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// Match all and apply the rx label
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`, "label", "Inbound", "__name__", ".*"`+
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`)`+
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`)`
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var labelMap = {
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Total: 'Total bandwidth',
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Inbound: 'Inbound data rate (data recieved) from the network in bits per second.',
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Outbound: 'Outbound data rate (data transmitted) from the network in bits per second.',
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};
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return this.fetchSeries(q, options)
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.then(this.reformatSeries("bps", labelMap))
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},
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makeSubject: function(serviceName, type) {
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if (type == "upstream") {
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// {{GROUP}} is a placeholder that is replaced by the upstream name
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return `${serviceName} → {{GROUP}}`;
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}
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if (type == "downstream") {
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// {{GROUP}} is a placeholder that is replaced by the downstream name
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return `{{GROUP}} → ${serviceName}`;
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}
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return serviceName
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},
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makeHTTPSelector: function(serviceName, type) {
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// Downstreams are totally different
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if (type == "downstream") {
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return `consul_service="${serviceName}"`
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}
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var lc = `local_cluster="${serviceName}"`
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if (type == "upstream") {
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lc += `,envoy_http_conn_manager_prefix=~"upstream_.*"`;
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} else {
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// Only care about inbound public listener
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lc += `,envoy_http_conn_manager_prefix="public_listener_http"`
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}
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return lc
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},
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makeTCPSelector: function(serviceName, type) {
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// Downstreams are totally different
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|
if (type == "downstream") {
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return `consul_service="${serviceName}"`
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}
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var lc = `local_cluster="${serviceName}"`
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if (type == "upstream") {
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lc += `,envoy_tcp_prefix=~"upstream_.*"`;
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} else {
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// Only care about inbound public listener
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lc += `,envoy_tcp_prefix="public_listener_tcp"`
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}
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return lc
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},
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groupQueryHTTP: function(type, q) {
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if (type == "upstream") {
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q += " by (envoy_http_conn_manager_prefix)"
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// Extract the raw upstream service name to group results by
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q = this.upstreamRelabelQueryHTTP(q)
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} else if (type == "downstream") {
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q += " by (local_cluster)"
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q = this.downstreamRelabelQuery(q)
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}
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return q
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},
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groupQueryTCP: function(type, q) {
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if (type == "upstream") {
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q += " by (envoy_tcp_prefix)"
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// Extract the raw upstream service name to group results by
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q = this.upstreamRelabelQueryTCP(q)
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} else if (type == "downstream") {
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q += " by (local_cluster)"
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q = this.downstreamRelabelQuery(q)
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}
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return q
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},
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upstreamRelabelQueryHTTP: function(q) {
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return `label_replace(${q}, "upstream", "$1", "envoy_http_conn_manager_prefix", "upstream_(.*)_http")`
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},
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|
|
|
upstreamRelabelQueryTCP: function(q) {
|
|
return `label_replace(${q}, "upstream", "$1", "envoy_tcp_prefix", "upstream_(.*)_tcp")`
|
|
},
|
|
|
|
downstreamRelabelQuery: function(q) {
|
|
return `label_replace(${q}, "downstream", "$1", "local_cluster", "(.*)")`
|
|
},
|
|
|
|
groupBy: function(type) {
|
|
if (type == "service") {
|
|
return false
|
|
}
|
|
return type;
|
|
},
|
|
|
|
metricPrefixHTTP: function(type) {
|
|
if (type == "downstream") {
|
|
return "envoy_cluster_upstream_rq"
|
|
}
|
|
return "envoy_http_downstream_rq";
|
|
},
|
|
|
|
metricPrefixTCP: function(type) {
|
|
if (type == "downstream") {
|
|
return "envoy_cluster_upstream_cx"
|
|
}
|
|
return "envoy_tcp_downstream_cx";
|
|
},
|
|
|
|
fetchRPS: function(serviceName, type, options){
|
|
var sel = this.makeHTTPSelector(serviceName, type)
|
|
var subject = this.makeSubject(serviceName, type)
|
|
var metricPfx = this.metricPrefixHTTP(type)
|
|
var q = `sum(rate(${metricPfx}_completed{${sel}}[15m]))`
|
|
return this.fetchStat(this.groupQueryHTTP(type, q),
|
|
"RPS",
|
|
`<b>${subject}</b> request rate averaged over the last 15 minutes`,
|
|
shortNumStr,
|
|
this.groupBy(type)
|
|
)
|
|
},
|
|
|
|
fetchER: function(serviceName, type, options){
|
|
var sel = this.makeHTTPSelector(serviceName, type)
|
|
var subject = this.makeSubject(serviceName, type)
|
|
var groupBy = ""
|
|
if (type == "upstream") {
|
|
groupBy += " by (envoy_http_conn_manager_prefix)"
|
|
} else if (type == "downstream") {
|
|
groupBy += " by (local_cluster)"
|
|
}
|
|
var metricPfx = this.metricPrefixHTTP(type)
|
|
var q = `sum(rate(${metricPfx}_xx{${sel},envoy_response_code_class="5"}[15m]))${groupBy}/sum(rate(${metricPfx}_xx{${sel}}[15m]))${groupBy}`
|
|
if (type == "upstream") {
|
|
q = this.upstreamRelabelQueryHTTP(q)
|
|
} else if (type == "downstream") {
|
|
q = this.downstreamRelabelQuery(q)
|
|
}
|
|
return this.fetchStat(q,
|
|
"ER",
|
|
`Percentage of <b>${subject}</b> requests which were 5xx status over the last 15 minutes`,
|
|
function(val){
|
|
return shortNumStr(val)+"%"
|
|
},
|
|
this.groupBy(type)
|
|
)
|
|
},
|
|
|
|
fetchPercentile: function(percentile, serviceName, type, options){
|
|
var sel = this.makeHTTPSelector(serviceName, type)
|
|
var subject = this.makeSubject(serviceName, type)
|
|
var groupBy = "le"
|
|
if (type == "upstream") {
|
|
groupBy += ",envoy_http_conn_manager_prefix"
|
|
} else if (type == "downstream") {
|
|
groupBy += ",local_cluster"
|
|
}
|
|
var metricPfx = this.metricPrefixHTTP(type)
|
|
var q = `histogram_quantile(${percentile/100}, sum by(${groupBy}) (rate(${metricPfx}_time_bucket{${sel}}[15m])))`
|
|
if (type == "upstream") {
|
|
q = this.upstreamRelabelQueryHTTP(q)
|
|
} else if (type == "downstream") {
|
|
q = this.downstreamRelabelQuery(q)
|
|
}
|
|
return this.fetchStat(q,
|
|
`P${percentile}`,
|
|
`<b>${subject}</b> ${percentile}th percentile request service time over the last 15 minutes`,
|
|
shortTimeStr,
|
|
this.groupBy(type)
|
|
)
|
|
},
|
|
|
|
fetchConnRate: function(serviceName, type, options) {
|
|
var sel = this.makeTCPSelector(serviceName, type)
|
|
var subject = this.makeSubject(serviceName, type)
|
|
var metricPfx = this.metricPrefixTCP(type)
|
|
var q = `sum(rate(${metricPfx}_total{${sel}}[15m]))`
|
|
return this.fetchStat(this.groupQueryTCP(type, q),
|
|
"CR",
|
|
`<b>${subject}</b> inbound TCP connections per second averaged over the last 15 minutes`,
|
|
shortNumStr,
|
|
this.groupBy(type)
|
|
)
|
|
},
|
|
|
|
fetchServiceRx: function(serviceName, type, options) {
|
|
var sel = this.makeTCPSelector(serviceName, type)
|
|
var subject = this.makeSubject(serviceName, type)
|
|
var metricPfx = this.metricPrefixTCP(type)
|
|
var q = `8 * sum(rate(${metricPfx}_rx_bytes_total{${sel}}[15m]))`
|
|
return this.fetchStat(this.groupQueryTCP(type, q),
|
|
"RX",
|
|
`<b>${subject}</b> received bits per second averaged over the last 15 minutes`,
|
|
shortNumStr,
|
|
this.groupBy(type)
|
|
)
|
|
},
|
|
|
|
fetchServiceTx: function(serviceName, type, options) {
|
|
var sel = this.makeTCPSelector(serviceName, type)
|
|
var subject = this.makeSubject(serviceName, type)
|
|
var metricPfx = this.metricPrefixTCP(type)
|
|
var q = `8 * sum(rate(${metricPfx}_tx_bytes_total{${sel}}[15m]))`
|
|
var self = this
|
|
return this.fetchStat(this.groupQueryTCP(type, q),
|
|
"TX",
|
|
`<b>${subject}</b> transmitted bits per second averaged over the last 15 minutes`,
|
|
shortNumStr,
|
|
this.groupBy(type)
|
|
)
|
|
},
|
|
|
|
fetchServiceNoRoute: function(serviceName, type, options) {
|
|
var sel = this.makeTCPSelector(serviceName, type)
|
|
var subject = this.makeSubject(serviceName, type)
|
|
var metricPfx = this.metricPrefixTCP(type)
|
|
var metric = "_no_route"
|
|
if (type == "downstream") {
|
|
metric = "_connect_fail"
|
|
}
|
|
var q = `sum(rate(${metricPfx}${metric}{${sel}}[15m]))`
|
|
return this.fetchStat(this.groupQueryTCP(type, q),
|
|
"NR",
|
|
`<b>${subject}</b> unroutable (failed) connections per second averaged over the last 15 minutes`,
|
|
shortNumStr,
|
|
this.groupBy(type)
|
|
)
|
|
},
|
|
|
|
fetchStat: function(promql, label, desc, formatter, groupBy) {
|
|
if (!groupBy) {
|
|
// If we don't have a grouped result and its just a single stat, return
|
|
// no result as a zero not a missing stat.
|
|
promql += " OR on() vector(0)";
|
|
}
|
|
//console.log(promql)
|
|
var params = {
|
|
query: promql,
|
|
time: (new Date).getTime()/1000
|
|
}
|
|
return this.httpGet("/api/v1/query", params).then(function(response){
|
|
if (!groupBy) {
|
|
// Not grouped, expect just one stat value return that
|
|
var v = parseFloat(response.data.result[0].value[1])
|
|
return {
|
|
label: label,
|
|
desc: desc,
|
|
value: formatter(v)
|
|
}
|
|
}
|
|
|
|
var data = {};
|
|
for (var i = 0; i < response.data.result.length; i++) {
|
|
var res = response.data.result[i];
|
|
var v = parseFloat(res.value[1]);
|
|
var groupName = res.metric[groupBy];
|
|
data[groupName] = {
|
|
label: label,
|
|
desc: desc.replace('{{GROUP}}', groupName),
|
|
value: formatter(v)
|
|
}
|
|
}
|
|
return data;
|
|
})
|
|
},
|
|
|
|
fetchSeries: function(promql, options) {
|
|
var params = {
|
|
query: promql,
|
|
start: options.start,
|
|
end: options.end,
|
|
step: "10s",
|
|
timeout: "8s"
|
|
}
|
|
return this.httpGet("/api/v1/query_range", params)
|
|
},
|
|
|
|
}
|
|
|
|
// Helper functions
|
|
function shortNumStr(n) {
|
|
if (n < 1e3) {
|
|
if (Number.isInteger(n)) return ""+n
|
|
if (n >= 100) {
|
|
// Go to 3 significant figures but wrap it in Number to avoid scientific
|
|
// notation lie 2.3e+2 for 230.
|
|
return Number(n.toPrecision(3))
|
|
} if (n < 1) {
|
|
// Very small numbers show with limited precision to prevent long string
|
|
// of 0.000000.
|
|
return Number(n.toFixed(2));
|
|
} else {
|
|
// Two sig figs is enough below this
|
|
return Number(n.toPrecision(2));
|
|
}
|
|
}
|
|
if (n >= 1e3 && n < 1e6) return +(n / 1e3).toPrecision(3) + "k";
|
|
if (n >= 1e6 && n < 1e9) return +(n / 1e6).toPrecision(3) + "m";
|
|
if (n >= 1e9 && n < 1e12) return +(n / 1e9).toPrecision(3) + "g";
|
|
if (n >= 1e12) return +(n / 1e12).toFixed(0) + "t";
|
|
}
|
|
|
|
function shortTimeStr(n) {
|
|
if (n < 1e3) return Math.round(n) + "ms";
|
|
|
|
var secs = n / 1e3
|
|
if (secs < 60) return secs.toFixed(1) + "s"
|
|
|
|
var mins = secs/60
|
|
if (mins < 60) return mins.toFixed(1) + "m"
|
|
|
|
var hours = mins/60
|
|
if (hours < 24) return hours.toFixed(1) + "h"
|
|
|
|
var days = hours/24
|
|
return days.toFixed(1) + "d"
|
|
}
|
|
|
|
/* global consul:writable */
|
|
window.consul.registerMetricsProvider("prometheus", prometheusProvider)
|
|
|
|
}());
|