feat(instrumentation-runtime-node): add prom-client-metrics

plugins/node/instrumentation-runtime-node/src/instrumentation.ts

@@ -13,83 +13,70 @@
  * See the License for the specific language governing permissions and
  * limitations under the License.
  */
-import { EventLoopUtilization, performance } from 'node:perf_hooks';
-const { eventLoopUtilization } = performance;
-
 import { InstrumentationBase } from '@opentelemetry/instrumentation';
 
 import { VERSION } from './version';
 import { RuntimeNodeInstrumentationConfig } from './types';
+import { MetricCollector } from './types/metricCollector';
+import { EventLoopUtilizationCollector } from './metrics/eventLoopUtilizationCollector';
+import { EventLoopLagCollector } from './metrics/eventLoopLagCollector';
+import { GCCollector } from './metrics/gcCollector';
+import { HeapSizeAndUsedCollector } from './metrics/heapSizeAndUsedCollector';
+import { HeapSpacesSizeAndUsedCollector } from './metrics/heapSpacesSizeAndUsedCollector';
 
-const ELUS_LENGTH = 2;
 const DEFAULT_CONFIG: RuntimeNodeInstrumentationConfig = {
-  eventLoopUtilizationMeasurementInterval: 5000,
+  monitoringPrecision: 5000,
 };
 
+const namePrefix = 'nodejs';
+
 export class RuntimeNodeInstrumentation extends InstrumentationBase {
-  private _ELUs: EventLoopUtilization[] = [];
-  private _interval: NodeJS.Timeout | undefined;
+  private _collectors: MetricCollector[] = [];
 
   constructor(config: RuntimeNodeInstrumentationConfig = {}) {
     super(
       '@opentelemetry/instrumentation-runtime-node',
       VERSION,
       Object.assign({}, DEFAULT_CONFIG, config)
     );
-  }
-
-  private _addELU() {
-    this._ELUs.unshift(eventLoopUtilization());
-    if (this._ELUs.length > ELUS_LENGTH) {
-      this._ELUs.pop();
+    this._collectors = [
+      new EventLoopUtilizationCollector(this._config, namePrefix),
+      new EventLoopLagCollector(this._config, namePrefix),
+      new GCCollector(this._config, namePrefix),
+      new HeapSizeAndUsedCollector(this._config, namePrefix),
+      new HeapSpacesSizeAndUsedCollector(this._config, namePrefix),
+    ];
+    if (this._config.enabled) {
+      for (const collector of this._collectors) {
+        collector.enable();
+      }
     }
   }
 
-  private _clearELU() {
-    if (!this._ELUs) {
-      this._ELUs = [];
-    }
-    this._ELUs.length = 0;
-  }
-
   // Called when a new `MeterProvider` is set
   // the Meter (result of @opentelemetry/api's getMeter) is available as this.meter within this method
   override _updateMetricInstruments() {
-    this.meter
-      .createObservableGauge('nodejs.event_loop.utilization', {
-        description: 'Event loop utilization',
-        unit: '1',
-      })
-      .addCallback(async observableResult => {
-        if (this._ELUs.length !== ELUS_LENGTH) {
-          return;
-        }
-        const elu = eventLoopUtilization(...this._ELUs);
-        observableResult.observe(elu.utilization);
-      });
+    if (!this._collectors) return;
+    for (const collector of this._collectors) {
+      collector.updateMetricInstruments(this.meter);
+    }
   }
 
   init() {
     // Not instrumenting or patching a Node.js module
   }
 
   override enable() {
-    this._clearELU();
-    this._addELU();
-    clearInterval(this._interval);
-    this._interval = setInterval(
-      () => this._addELU(),
-      (this._config as RuntimeNodeInstrumentationConfig)
-        .eventLoopUtilizationMeasurementInterval
-    );
+    if (!this._collectors) return;
 
-    // unref so that it does not keep the process running if disable() is never called
-    this._interval?.unref();
+    for (const collector of this._collectors) {
+      collector.enable();
+    }
   }
 
   override disable() {
-    this._clearELU();
-    clearInterval(this._interval);
-    this._interval = undefined;
+    for (const collector of this._collectors) {
+      collector.disable();
+    }
   }
 }

plugins/node/instrumentation-runtime-node/src/metrics/baseCollector.ts

@@ -0,0 +1,73 @@
+/*
+ * Copyright The OpenTelemetry Authors
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+import { MetricCollector } from '../types/metricCollector';
+import { Meter } from '@opentelemetry/api';
+import { clearInterval } from 'node:timers';
+import { RuntimeNodeInstrumentationConfig } from '../types';
+
+export abstract class BaseCollector<T> implements MetricCollector {
+  protected _config: RuntimeNodeInstrumentationConfig = {};
+
+  protected namePrefix: string;
+  private _interval: NodeJS.Timeout | undefined;
+  protected _scrapeQueue: T[] = [];
+
+  constructor(
+    config: RuntimeNodeInstrumentationConfig = {},
+    namePrefix: string
+  ) {
+    this._config = config;
+    this.namePrefix = namePrefix;
+  }
+
+  public disable(): void {
+    this._clearQueue();
+    clearInterval(this._interval);
+    this._interval = undefined;
+
+    this.internalDisable();
+  }
+
+  public enable(): void {
+    this._clearQueue();
+    clearInterval(this._interval);
+    this._interval = setInterval(
+      () => this._addTask(),
+      this._config.monitoringPrecision
+    );
+
+    // unref so that it does not keep the process running if disable() is never called
+    this._interval?.unref();
+
+    this.internalEnable();
+  }
+
+  private _clearQueue() {
+    this._scrapeQueue.length = 0;
+  }
+
+  private _addTask() {
+    const taskResult = this.scrape();
+    if (taskResult) {
+      this._scrapeQueue.push(taskResult);
+    }
+  }
+
+  public abstract updateMetricInstruments(meter: Meter): void;
+  protected abstract internalEnable(): void;
+  protected abstract internalDisable(): void;
+  protected abstract scrape(): T;
+}

plugins/node/instrumentation-runtime-node/src/metrics/eventLoopLagCollector.ts

@@ -0,0 +1,203 @@
+/*
+ * Copyright The OpenTelemetry Authors
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+import { RuntimeNodeInstrumentationConfig } from '../types';
+import { Meter } from '@opentelemetry/api';
+import { IntervalHistogram } from 'node:perf_hooks';
+import { BaseCollector } from './baseCollector';
+import * as perf_hooks from 'node:perf_hooks';
+
+const NODEJS_EVENTLOOP_LAG = 'event_loop.lag_seconds';
+const NODEJS_EVENTLOOP_LAG_MIN = 'event_loop.lag_min_seconds';
+const NODEJS_EVENTLOOP_LAG_MAX = 'event_loop.lag_max_seconds';
+const NODEJS_EVENTLOOP_LAG_MEAN = 'event_loop.lag_mean_seconds';
+const NODEJS_EVENTLOOP_LAG_STDDEV = 'event_loop.lag_stddev_seconds';
+const NODEJS_EVENTLOOP_LAG_P50 = 'event_loop.lag_p50_seconds';
+const NODEJS_EVENTLOOP_LAG_P90 = 'event_loop.lag_p90_seconds';
+const NODEJS_EVENTLOOP_LAG_P99 = 'event_loop.lag_p99_seconds';
+
+export const metricNames = [
+  { name: NODEJS_EVENTLOOP_LAG, description: 'Lag of event loop in seconds.' },
+  {
+    name: NODEJS_EVENTLOOP_LAG_MIN,
+    description: 'The minimum recorded event loop delay.',
+  },
+  {
+    name: NODEJS_EVENTLOOP_LAG_MAX,
+    description: 'The maximum recorded event loop delay.',
+  },
+  {
+    name: NODEJS_EVENTLOOP_LAG_MEAN,
+    description: 'The mean of the recorded event loop delays.',
+  },
+  {
+    name: NODEJS_EVENTLOOP_LAG_STDDEV,
+    description: 'The standard deviation of the recorded event loop delays.',
+  },
+  {
+    name: NODEJS_EVENTLOOP_LAG_P50,
+    description: 'The 50th percentile of the recorded event loop delays.',
+  },
+  {
+    name: NODEJS_EVENTLOOP_LAG_P90,
+    description: 'The 90th percentile of the recorded event loop delays.',
+  },
+  {
+    name: NODEJS_EVENTLOOP_LAG_P99,
+    description: 'The 99th percentile of the recorded event loop delays.',
+  },
+];
+
+export interface EventLoopLagInformation {
+  min: number;
+  max: number;
+  mean: number;
+  stddev: number;
+  p50: number;
+  p90: number;
+  p99: number;
+}
+
+export class EventLoopLagCollector extends BaseCollector<EventLoopLagInformation> {
+  private _histogram: IntervalHistogram;
+
+  constructor(
+    config: RuntimeNodeInstrumentationConfig = {},
+    namePrefix: string
+  ) {
+    super(config, namePrefix);
+    this._histogram = perf_hooks.monitorEventLoopDelay({
+      resolution: config.monitoringPrecision,
+    });
+  }
+
+  updateMetricInstruments(meter: Meter): void {
+    const lag = meter.createObservableGauge(
+      `${this.namePrefix}.${metricNames[0].name}`,
+      {
+        description: metricNames[0].description,
+        unit: '1',
+      }
+    );
+    const lagMin = meter.createObservableGauge(
+      `${this.namePrefix}.${metricNames[1].name}`,
+      {
+        description: metricNames[1].description,
+        unit: '1',
+      }
+    );
+    const lagMax = meter.createObservableGauge(
+      `${this.namePrefix}.${metricNames[2].name}`,
+      {
+        description: metricNames[2].description,
+        unit: '1',
+      }
+    );
+    const lagMean = meter.createObservableGauge(
+      `${this.namePrefix}.${metricNames[3].name}`,
+      {
+        description: metricNames[3].description,
+        unit: '1',
+      }
+    );
+    const lagStddev = meter.createObservableGauge(
+      `${this.namePrefix}.${metricNames[4].name}`,
+      {
+        description: metricNames[4].description,
+        unit: '1',
+      }
+    );
+    const lagp50 = meter.createObservableGauge(
+      `${this.namePrefix}.${metricNames[5].name}`,
+      {
+        description: metricNames[5].description,
+        unit: '1',
+      }
+    );
+    const lagp90 = meter.createObservableGauge(
+      `${this.namePrefix}.${metricNames[6].name}`,
+      {
+        description: metricNames[6].description,
+        unit: '1',
+      }
+    );
+    const lagp99 = meter.createObservableGauge(
+      `${this.namePrefix}.${metricNames[7].name}`,
+      {
+        description: metricNames[7].description,
+        unit: '1',
+      }
+    );
+
+    meter.addBatchObservableCallback(
+      async observableResult => {
+        if (this._scrapeQueue.length === 0) return;
+
+        const data = this._scrapeQueue.shift();
+        if (data === undefined) return;
+
+        const start = process.hrtime();
+        const lagResult = await new Promise<number>(res => {
+          setImmediate((start: [number, number]) => {
+            res(this._reportEventloopLag(start));
+          }, start);
+        });
+
+        observableResult.observe(lag, lagResult);
+        observableResult.observe(lagMin, data.min);
+        observableResult.observe(lagMax, data.max);
+        observableResult.observe(lagMean, data.mean);
+        observableResult.observe(lagStddev, data.stddev);
+        observableResult.observe(lagp50, data.p50);
+        observableResult.observe(lagp90, data.p90);
+        observableResult.observe(lagp99, data.p99);
+
+        this._histogram.reset();
+      },
+      [lag, lagMin, lagMax, lagMean, lagStddev, lagp50, lagp90, lagp99]
+    );
+  }
+
+  internalEnable(): void {
+    this._histogram.enable();
+  }
+
+  internalDisable(): void {
+    this._histogram.disable();
+  }
+
+  protected scrape(): EventLoopLagInformation {
+    return {
+      min: this.checkNan(this._histogram.min / 1e9),
+      max: this.checkNan(this._histogram.max / 1e9),
+      mean: this.checkNan(this._histogram.mean / 1e9),
+      stddev: this.checkNan(this._histogram.stddev / 1e9),
+      p50: this.checkNan(this._histogram.percentile(90) / 1e9),
+      p90: this.checkNan(this._histogram.percentile(90) / 1e9),
+      p99: this.checkNan(this._histogram.percentile(99) / 1e9),
+    };
+  }
+
+  private _reportEventloopLag(start: [number, number]): number {
+    const delta = process.hrtime(start);
+    const nanosec = delta[0] * 1e9 + delta[1];
+    const seconds = nanosec / 1e9;
+    return seconds;
+  }
+
+  private checkNan(value: number) {
+    return isNaN(value) ? 0 : value;
+  }
+}