$ npm install applicationinsights
Azure Application Insights monitors your backend services and components after you deploy them to help you discover and rapidly diagnose performance and other issues. Add this SDK to your Node.js services to include deep info about Node.js processes and their external dependencies such as database and cache services. You can use this SDK for your Node.js services hosted anywhere: your datacenter, Azure VMs and Web Apps, and even other public clouds.
This library tracks the following out-of-the-box:
You can manually track more aspects of your app and system using the API described in the Track custom telemetry section.
npm install --save applicationinsights
Note: If you're using TypeScript, do not install a separate "typings" package. This NPM package contains built-in typings.
let appInsights = require('applicationinsights');
appInsights.setup('_your_ikey_');
, using
the ikey you grabbed in step 2. Or put this ikey in the
APPINSIGHTS_INSTRUMENTATIONKEY
environment variable and call
appInsights.setup()
without parameters.
For more configuration options see below.
appInsights.start();
.For out-of-the-box collection of HTTP requests, popular third-party library events, unhandled exceptions, and system metrics:
let appInsights = require("applicationinsights");
appInsights.setup("_your_ikey_").start();
.setup()
can be called with no
arguments. This makes it easy to use different ikeys for different
environments.Load the Application Insights library (i.e. require("applicationinsights")
) as
early as possible in your scripts, before loading other packages. This is needed
so that the Application Insights library can prepare later packages for tracking.
If you encounter conflicts with other libraries doing similar preparation, try
loading the Application Insights library after those.
Because of the way JavaScript handles callbacks, additional work is necessary to
track a request across external dependencies and later callbacks. By default
this additional tracking is enabled; disable it by calling
setAutoDependencyCorrelation(false)
as described in the
Configuration section below.
Due to how Azure Functions (and other FaaS services) handle incoming requests, they are not seen as http
requests to the Node.js runtime. For this reason, Request -> Dependency correlelation will not work out of the box.
To enable tracking here, you simply need to grab the context from your Function request handler, and wrap your Function with that context.
You do not need to make any changes to your existing Function logic.
Instead, you can update the default
export of your httpTrigger
to be wrapped with some Application Insights logic:
...
// Default export wrapped with Application Insights FaaS context propagation
export default async function contextPropagatingHttpTrigger(context, req) {
// Start an AI Correlation Context using the provided Function context
const correlationContext = appInsights.startOperation(context, req);
// Wrap the Function runtime with correlationContext
return appInsights.wrapWithCorrelationContext(async () => {
const startTime = Date.now(); // Start trackRequest timer
// Run the Function
await httpTrigger(context, req);
// Track Request on completion
appInsights.defaultClient.trackRequest({
name: context.req.method + " " + context.req.url,
resultCode: context.res.status,
success: true,
url: req.url,
duration: Date.now() - startTime,
id: correlationContext.operation.parentId,
});
appInsights.defaultClient.flush();
}, correlationContext)();
};
An example of making an axios
call to https://httpbin.org and returning the reponse.
const appInsights = require("applicationinsights");
appInsights.setup("ikey")
.setAutoCollectPerformance(false)
.start();
const axios = require("axios");
/**
* No changes required to your existing Function logic
*/
const httpTrigger = async function (context, req) {
const response = await axios.get("https://httpbin.org/status/200");
context.res = {
status: response.status,
body: response.statusText,
};
};
// Default export wrapped with Application Insights FaaS context propagation
export default async function contextPropagatingHttpTrigger(context, req) {
// Start an AI Correlation Context using the provided Function context
const correlationContext = appInsights.startOperation(context, req);
// Wrap the Function runtime with correlationContext
return appInsights.wrapWithCorrelationContext(async () => {
const startTime = Date.now(); // Start trackRequest timer
// Run the Function
await httpTrigger(context, req);
// Track Request on completion
appInsights.defaultClient.trackRequest({
name: context.req.method + " " + context.req.url,
resultCode: context.res.status,
success: true,
url: req.url,
duration: Date.now() - startTime,
id: correlationContext.operation.parentId,
});
appInsights.defaultClient.flush();
}, correlationContext)();
};
The appInsights object provides a number of configuration methods. They are listed in the following snippet with their default values.
let appInsights = require("applicationinsights");
appInsights.setup("<instrumentation_key>")
.setAutoDependencyCorrelation(true)
.setAutoCollectRequests(true)
.setAutoCollectPerformance(true, true)
.setAutoCollectExceptions(true)
.setAutoCollectDependencies(true)
.setAutoCollectConsole(true)
.setUseDiskRetryCaching(true)
.setSendLiveMetrics(false)
.setDistributedTracingMode(appInsights.DistributedTracingModes.AI_AND_W3C)
.start();
Please review their descriptions in your IDE's built-in type hinting, or applicationinsights.ts for detailed information on what these control, and optional secondary arguments.
Note that by default setAutoCollectConsole
is configured to exclude calls to console.log
(and other console
methods). By default, only calls to supported third-party loggers
(e.g. winston
, bunyan
) will be collected. You can change this behavior to include calls
to console
methods by using setAutoCollectConsole(true, true)
.
By default, the SDK will send all collected data to the Application Insights service. If you collect a lot of data, you might want to enable sampling to reduce the amount of data sent. Set the samplingPercentage
field on the Config object of a Client to accomplish this. Setting samplingPercentage
to 100 (the default) means all data will be sent, and 0 means nothing will be sent.
If you are using automatic correlation, all data associated with a single request will be included or excluded as a unit.
Add code such as the following to enable sampling:
const appInsights = require("applicationinsights");
appInsights.setup("<instrumentation_key>");
appInsights.defaultClient.config.samplingPercentage = 33; // 33% of all telemetry will be sent to Application Insights
appInsights.start();
If your application consists of multiple components that you wish to instrument all with the same Instrumentation Key and still see these components as separate units in the Portal as if they were using separate Instrumentation Keys (for example, as separate nodes on the Application Map) you may need to manually configure the RoleName field to distinguish one component's telemetry from other components sending data to your Application Insights resource. (See Monitor multi-component applications with Application Insights (preview))
Use the following to set the RoleName field:
const appInsights = require("applicationinsights");
appInsights.setup("<instrumentation_key>");
appInsights.defaultClient.context.tags[appInsights.defaultClient.context.keys.cloudRole] = "MyRoleName";
appInsights.start();
In order to track context across asynchronous calls, some changes are required in third party libraries such as mongodb and redis.
By default ApplicationInsights will use diagnostic-channel-publishers
to monkey-patch some of these libraries.
This can be disabled by setting the APPLICATION_INSIGHTS_NO_DIAGNOSTIC_CHANNEL
environment variable. Note that by setting that
environment variable, events may no longer be correctly associated with the right operation. Individual monkey-patches can be
disabled by setting the APPLICATION_INSIGHTS_NO_PATCH_MODULES
environment variable to a comma separated list of packages to
disable, e.g. APPLICATION_INSIGHTS_NO_PATCH_MODULES=console,redis
to avoid patching the console
and redis
packages.
Currently there are 9 packages which are instrumented: bunyan
, console
, mongodb
, mongodb-core
, mysql
, redis
, winston
,
pg
, and pg-pool
. Visit the diagnostic-channel-publishers' README
for information about exactly which versions of these packages are patched.
The bunyan
, winston
, and console
patches will generate Application Insights Trace events based on whether setAutoCollectConsole
is enabled.
The rest will generate Application Insights Dependency events based on whether setAutoCollectDependencies
is enabled. Make sure that applicationinsights
is imported before any 3rd-party packages for them to be instrumented successfully.
To enable sending live metrics of your app to Azure, use setSendLiveMetrics(true)
. Filtering of live metrics in the Portal is currently not supported.
Note: The ability to send extended native metrics was added in version
1.4.0
To enable sending extended native metrics of your app to Azure, simply install the separate native metrics package. The SDK will automatically load it when it is installed and start collecting Node.js native metrics.
npm install applicationinsights-native-metrics
Currently, the native metrics package performs autocollection of Garbage Collection CPU time, Event Loop ticks, and heap usage:
By default, this SDK will send headers understood by other applications/services instrumented with an Application Insights SDK. You can optionally enable sending/receiving of W3C Trace Context headers in addition to the existing AI headers, so you will not break correlation with any of your existing legacy services. Enabling W3C headers will allow your app to correlate with other services not instrumented with Application Insights, but do adopt this W3C standard.
const appInsights = require("applicationinsights");
appInsights
.setup("<your ikey>")
.setDistributedTracingMode(appInsights.DistributedTracingModes.AI_AND_W3C)
.start()
You can track any request, event, metric or exception using the Application Insights client. Examples follow:
let appInsights = require("applicationinsights");
appInsights.setup().start(); // assuming ikey in env var. start() can be omitted to disable any non-custom data
let client = appInsights.defaultClient;
client.trackEvent({name: "my custom event", properties: {customProperty: "custom property value"}});
client.trackException({exception: new Error("handled exceptions can be logged with this method")});
client.trackMetric({name: "custom metric", value: 3});
client.trackTrace({message: "trace message"});
client.trackDependency({target:"http://dbname", name:"select customers proc", data:"SELECT * FROM Customers", duration:231, resultCode:0, success: true, dependencyTypeName: "ZSQL"});
client.trackRequest({name:"GET /customers", url:"http://myserver/customers", duration:309, resultCode:200, success:true});
let http = require("http");
http.createServer( (req, res) => {
client.trackNodeHttpRequest({request: req, response: res}); // Place at the beginning of your request handler
});
An example utility using trackMetric
to measure how long event loop scheduling takes:
function startMeasuringEventLoop() {
var startTime = process.hrtime();
var sampleSum = 0;
var sampleCount = 0;
// Measure event loop scheduling delay
setInterval(() => {
var elapsed = process.hrtime(startTime);
startTime = process.hrtime();
sampleSum += elapsed[0] * 1e9 + elapsed[1];
sampleCount++;
}, 0);
// Report custom metric every second
setInterval(() => {
var samples = sampleSum;
var count = sampleCount;
sampleSum = 0;
sampleCount = 0;
if (count > 0) {
var avgNs = samples / count;
var avgMs = Math.round(avgNs / 1e6);
client.trackMetric({name: "Event Loop Delay", value: avgMs});
}
}, 1000);
}
public addTelemetryProcessor(telemetryProcessor: (envelope: Contracts.Envelope, context: { http.RequestOptions, http.ClientRequest, http.ClientResponse, correlationContext }) => boolean)
You can process and filter collected data before it is sent for retention using Telemetry Processors. Telemetry processors are called one by one in the order they were added before the telemetry item is sent to the cloud.
If a telemetry processor returns false that telemetry item will not be sent.
All telemetry processors receive the telemetry data and its envelope to inspect and
modify. They also receive a context object. The contents of this object is defined by
the contextObjects
parameter when calling a track method for manually tracked telemetry.
For automatically collected telemetry, this object is filled with available request information
and the persistent request context as provided by appInsights.getCorrelationContext()
(if
automatic dependency correlation is enabled).
The TypeScript type for a telemetry processor is:
telemetryProcessor: (envelope: ContractsModule.Contracts.Envelope, context: { http.RequestOptions, http.ClientRequest, http.ClientResponse, correlationContext }) => boolean;
For example, a processor that removes stack trace data from exceptions might be written and added as follows:
function removeStackTraces ( envelope, context ) {
if (envelope.data.baseType === "Microsoft.ApplicationInsights.ExceptionData") {
var data = envelope.data.baseData;
if (data.exceptions && data.exceptions.length > 0) {
for (var i = 0; i < data.exceptions.length; i++) {
var exception = data.exceptions[i];
exception.parsedStack = null;
exception.hasFullStack = false;
}
}
}
return true;
}
appInsights.defaultClient.addTelemetryProcessor(removeStackTraces);
More info on the telemetry API is available in the docs.
You can create multiple Azure Application Insights resources and send different data to each by using their respective instrumentation keys ("ikey"). For example:
let appInsights = require("applicationinsights");
// configure auto-collection under one ikey
appInsights.setup("_ikey-A_").start();
// track some events manually under another ikey
let otherClient = new appInsights.TelemetryClient("_ikey-B_");
otherClient.trackEvent({name: "my custom event"});
Track dependencies
let appInsights = require("applicationinsights");
let client = new appInsights.TelemetryClient();
var success = false;
let startTime = Date.now();
// execute dependency call here....
let duration = Date.now() - startTime;
success = true;
client.trackDependency({target:"http://dbname", name:"select customers proc", data:"SELECT * FROM Customers", duration:duration, resultCode:0, success: true, dependencyTypeName: "ZSQL"});
Assign custom properties to be included with all events
appInsights.defaultClient.commonProperties = {
environment: process.env.SOME_ENV_VARIABLE
};
Manually track all HTTP GET requests
Note that all requests are tracked by default. To disable automatic
collection, call .setAutoCollectRequests(false)
before calling start()
.
appInsights.defaultClient.trackRequest({name:"GET /customers", url:"http://myserver/customers", duration:309, resultCode:200, success:true});
Alternatively you can track requests using trackNodeHttpRequest
method:
var server = http.createServer((req, res) => {
if ( req.method === "GET" ) {
appInsights.defaultClient.trackNodeHttpRequest({request:req, response:res});
}
// other work here....
res.end();
});
Track server startup time
let start = Date.now();
server.on("listening", () => {
let duration = Date.now() - start;
appInsights.defaultClient.trackMetric({name: "server startup time", value: duration});
});
The Client object contains a config
property with many optional settings for
advanced scenarios. These can be set as follows:
client.config.PROPERTYNAME = VALUE;
These properties are client specific, so you can configure appInsights.defaultClient
separately from clients created with new appInsights.TelemetryClient()
.
Property | Description |
---|---|
instrumentationKey | An identifier for your Application Insights resource |
endpointUrl | The ingestion endpoint to send telemetry payloads to |
quickPulseHost | The Live Metrics Stream host to send live metrics telemetry to |
proxyHttpUrl | A proxy server for SDK HTTP traffic (Optional, Default pulled from http_proxy environment variable) |
proxyHttpsUrl | A proxy server for SDK HTTPS traffic (Optional, Default pulled from https_proxy environment variable) |
httpAgent | An http.Agent to use for SDK HTTP traffic (Optional, Default undefined) |
httpsAgent | An https.Agent to use for SDK HTTPS traffic (Optional, Default undefined) |
maxBatchSize | The maximum number of telemetry items to include in a payload to the ingestion endpoint (Default 250 ) |
maxBatchIntervalMs | The maximum amount of time to wait to for a payload to reach maxBatchSize (Default 15000 ) |
disableAppInsights | A flag indicating if telemetry transmission is disabled (Default false ) |
samplingPercentage | The percentage of telemetry items tracked that should be transmitted (Default 100 ) |
correlationIdRetryIntervalMs | The time to wait before retrying to retrieve the id for cross-component correlation (Default 30000 ) |
correlationHeaderExcludedDomains | A list of domains to exclude from cross-component correlation header injection (Default See Config.ts) |
applicationinsights@2.0.0
(Beta)An experimental / beta version of the SDK is also available, but not recommended for production. It is built on top of the OpenTelemetry SDK + APIs, while keeping the API surface of this SDK the same.
npm install applicationinsights@beta
applicationinsights@2.0.0
Overviewapplicationinsights@1.x
applicationinsights@1.x
applicationinsights@1.x
gRPC
, express
, ioredis
Migrating from 1.x
to 2.x
is meant to be seamless and straightforward, there should be no breaking API changes at all. Please file a bug if something doesn't look right to you!
Included in applicationinsights@2.0.0
is every Node.js Plugin available in the default OpenTelemetry Node.js SDK. Please check out the projects board for progress updates on 2.x
.
npm install
.// windows
set APPINSIGHTS_INSTRUMENTATIONKEY=<insert_your_instrumentation_key_here>
// linux/macos
export APPINSIGHTS_INSTRUMENTATIONKEY=<insert_your_instrumentation_key_here>
npm run test
npm run backcompattest
npm run functionaltest
Note: Functional tests require DockerThis project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.
© 2010 - cnpmjs.org x YWFE | Home | YWFE