Aws-embedded-metrics NPM

aws-embedded-metrics

npm.io

Generate CloudWatch Metrics embedded within structured log events. The embedded metrics will be extracted so you can visualize and alarm on them for real-time incident detection. This allows you to monitor aggregated values while preserving the detailed event context that generated them.

Use Cases

Generate custom metrics across compute environments
- Easily generate custom metrics from Lambda functions without requiring custom batching code, making blocking network requests or relying on 3rd party software.
- Other compute environments (EC2, On-prem, ECS, EKS, and other container environments) are supported by installing the CloudWatch Agent.
Linking metrics to high cardinality context
Using the Embedded Metric Format, you will be able to visualize and alarm on custom metrics, but also retain the original, detailed and high-cardinality context which is queryable using CloudWatch Logs Insights. For example, the library automatically injects environment metadata such as Lambda Function version, EC2 instance and image ids into the structured log event data.

Installation

npm install aws-embedded-metrics

Usage

To get a metric logger, you can either decorate your function with a metricScope, or manually create and flush the logger.

Using the metricScope decorator without function parameters:

const { metricScope, Unit } = require("aws-embedded-metrics");

const myFunc = metricScope(metrics =>
  async () => {
    metrics.putDimensions({ Service: "Aggregator" });
    metrics.putMetric("ProcessingLatency", 100, Unit.Milliseconds);
    metrics.setProperty("RequestId", "422b1569-16f6-4a03-b8f0-fe3fd9b100f8");
    // ...
  });

await myFunc();

Using the metricScope decorator with function parameters:

const { metricScope, Unit } = require("aws-embedded-metrics");

const myFunc = metricScope(metrics =>
  async (param1: string, param2: number) => {
    metrics.putDimensions({ Service: "Aggregator" });
    metrics.putMetric("ProcessingLatency", 100, Unit.Milliseconds);
    metrics.setProperty("RequestId", "422b1569-16f6-4a03-b8f0-fe3fd9b100f8");
    // ...
  });

await myFunc('myParam', 0);

Manually constructing and flushing the logger:

const { createMetricsLogger, Unit } = require("aws-embedded-metrics");

const myFunc = async () => {
  const metrics = createMetricsLogger();
  metrics.putDimensions({ Service: "Aggregator" });
  metrics.putMetric("ProcessingLatency", 100, Unit.Milliseconds);
  metrics.setProperty("RequestId", "422b1569-16f6-4a03-b8f0-fe3fd9b100f8");
  // ...
  await metrics.flush();
};

await myFunc();

Lambda

If you are running on Lambda, export your function like so:

const { metricScope } = require("aws-embedded-metrics");

const myFunc = metricScope(metrics =>
  async () => {
    // ...
  });

exports.handler = myFunc();

API

MetricLogger

The MetricLogger is the interface you will use to publish embedded metrics.

putMetric(String name, Double value, Unit? unit)

Adds a new metric to the current logger context. Multiple metrics using the same key will be appended to an array of values. The Embedded Metric Format supports a maximum of 100 values per key. If more metric values are added than are supported by the format, the logger will be flushed to allow for new metric values to be captured.

Requirements:

Name Length 1-255 characters
Name must be ASCII characters only
Values must be in the range of 8.515920e-109 to 1.174271e+108. In addition, special values (for example, NaN, +Infinity, -Infinity) are not supported.
Units must meet CW Metrics unit requirements, if not it will default to None.

Examples:

putMetric("Latency", 200, Unit.Milliseconds)

setProperty(String key, Object value)

Adds or updates the value for a given property on this context. This value is not submitted to CloudWatch Metrics but is searchable by CloudWatch Logs Insights. This is useful for contextual and potentially high-cardinality data that is not appropriate for CloudWatch Metrics dimensions.

Requirements:

Length 1-255 characters

Examples:

setProperty("RequestId", "422b1569-16f6-4a03-b8f0-fe3fd9b100f8")
setProperty("InstanceId", "i-1234567890")
setProperty("Device", {
  Id: "61270781-c6ac-46f1-baf7-22c808af8162",
  Name: "Transducer",
  Model: "PT-1234"
});

putDimensions(Record<String, String> dimensions)

Adds a new set of dimensions that will be associated to all metric values.

WARNING: Every distinct value will result in a new CloudWatch Metric. If the cardinality of a particular value is expected to be high, you should consider using setProperty instead.

Requirements:

Length 1-255 characters
ASCII characters only

Examples:

putDimensions({ Operation: "Aggregator" })
putDimensions({ Operation: "Aggregator", DeviceType: "Actuator" })

setDimensions(Record<String, String>[] dimensions...)

Explicitly override all dimensions. This will remove the default dimensions.

WARNING: Every distinct value will result in a new CloudWatch Metric. If the cardinality of a particular value is expected to be high, you should consider using setProperty instead.

Requirements:

Length 1-255 characters
ASCII characters only

Examples:

setDimensions(
  { Operation: "Aggregator" },
  { Operation: "Aggregator", DeviceType: "Actuator" })

setNamespace(String value)

Sets the CloudWatch namespace that extracted metrics should be published to. If not set, a default value of aws-embedded-metrics will be used.

Requirements:

Name Length 1-255 characters
Name must be ASCII characters only

Examples:

setNamespace("MyApplication");

flush()

Flushes the current MetricsContext to the configured sink and resets all properties, dimensions and metric values. The namespace and default dimensions will be preserved across flushes.

Configuration

All configuration values can be set using environment variables with the prefix (AWS_EMF_). Configuration should be performed as close to application start up as possible.

ServiceName: Overrides the name of the service. For services where the name cannot be inferred (e.g. Java process running on EC2), a default value of Unknown will be used if not explicitly set.

Requirements:

Name Length 1-255 characters
Name must be ASCII characters only

Example:

// in process
const { Configuration } = require("aws-embedded-metrics");
Configuration.serviceName = "MyApp";

// environment
AWS_EMF_SERVICE_NAME=MyApp

ServiceType: Overrides the type of the service. For services where the type cannot be inferred (e.g. Java process running on EC2), a default value of Unknown will be used if not explicitly set.

Requirements:

Name Length 1-255 characters
Name must be ASCII characters only

Example:

// in process
const { Configuration } = require("aws-embedded-metrics");
Configuration.serviceType = "NodeJSWebApp";

// environment
AWS_EMF_SERVICE_TYPE=NodeJSWebApp

LogGroupName: For agent-based platforms, you may optionally configure the destination log group that metrics should be delivered to. This value will be passed from the library to the agent in the Embedded Metric payload. If a LogGroup is not provided, the default value will be derived from the service name: -metrics

Requirements:

Name Length 1-512 characters
Log group names consist of the following characters: a-z, A-Z, 0-9, '_' (underscore), '-' (hyphen), '/' (forward slash), and '.' (period). Pattern: .-_/#A-Za-z0-9+

Example:

// in process
const { Configuration } = require("aws-embedded-metrics");
Configuration.logGroupName = "LogGroupName";

// environment
AWS_EMF_LOG_GROUP_NAME=LogGroupName

LogStreamName: For agent-based platforms, you may optionally configure the destination log stream that metrics should be delivered to. This value will be passed from the library to the agent in the Embedded Metric payload. If a LogGroup is not provided, the default value will be derived by the agent (this will likely be the hostname).

Requirements:

Name Length 1-512 characters
The ':' (colon) and '*' (asterisk) characters are not allowed. Pattern: ^:*

Example:

// in process
const { Configuration } = require("aws-embedded-metrics");
Configuration.logStreamName = "LogStreamName";

// environment
AWS_EMF_LOG_STREAM_NAME=LogStreamName

AgentEndpoint: For agent-based platforms, you may optionally configure the endpoint to reach the agent on.

Example:

// in process
const { Configuration } = require("aws-embedded-metrics");
Configuration.agentEndpoint = "udp://127.0.0.1:1000";

// environment
AWS_EMF_AGENT_ENDPOINT="udp://127.0.0.1:1000"

EnvironmentOverride: Short circuit auto-environment detection by explicitly defining how events should be sent.

Valid values include:

Local: no decoration and sends over stdout
Lambda: decorates logs with Lambda metadata and sends over stdout
Agent: no decoration and sends over TCP
EC2: decorates logs with EC2 metadata and sends over TCP

Example:

// in process
const { Configuration } = require("aws-embedded-metrics");
Configuration.environmentOverride = "Local";

// environment
AWS_EMF_ENVIRONMENT=Local

EnableDebugLogging: Enable debug logging for the library. If the library is not behaving as expected, you can set this to true to log to console.

Example:

// in process
const { Configuration } = require("aws-embedded-metrics");
Configuration.debuggingLoggingEnabled = true;

// environment
AWS_EMF_ENABLE_DEBUG_LOGGING=true

Examples

Check out the examples directory to get started.

Testing Examples

Check out the unit test examples directory to get started. Here we provide a few examples to help you write tests against code that depends on this package.

Development

Building

This project uses Volta to pin the currently supported version of node.

npm i && npm run build

Running Locally

If you are running the CW agent locally, you can test the workflow:

npm i && npm link
cd examples/agent && npm link aws-embedded-metrics

After linking you'll need to rebuild any changes:

npm run build

Testing

We have 2 different types of tests: 1. Unit tests which can be run using the following commands:

npm test
# or
npm run watch

Integration tests. These tests require Docker to run the CloudWatch Agent and valid AWS credentials. Tests can be run by:
```
export AWS_ACCESS_KEY_ID=
export AWS_SECRET_ACCESS_KEY=
export AWS_REGION=us-west-2
npm run integ
```