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Logger

Logger provides an opinionated logger with output structured as JSON.

Key features

  • Capturing key fields from the Lambda context, cold starts, and structure logging output as JSON.
  • Logging Lambda invocation events when instructed (disabled by default).
  • Printing all the logs only for a percentage of invocations via log sampling (disabled by default).
  • Appending additional keys to structured logs at any point in time.
  • Providing a custom log formatter (Bring Your Own Formatter) to output logs in a structure compatible with your organization’s Logging RFC.


Screenshot of the Amazon CloudWatch Console showing an example of error logged with various log attributes
Logger showcase - Log attributes

Getting started

Installation

Install the library in your project:

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npm install @aws-lambda-powertools/logger

Usage

The Logger utility must always be instantiated outside the Lambda handler. By doing this, subsequent invocations processed by the same instance of your function can reuse these resources. This saves cost by reducing function run time. In addition, Logger can keep track of a cold start and inject the appropriate fields into logs.

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import { Logger } from '@aws-lambda-powertools/logger';

const logger = new Logger({ serviceName: 'serverlessAirline' });

export const handler = async (_event, _context): Promise<void> => {
  logger.info('Hello World');
};

Utility settings

The library requires two settings. You can set them as environment variables, or pass them in the constructor.

These settings will be used across all logs emitted:

Setting Description Environment variable Default Value Allowed Values Example Value Constructor parameter
Service name Sets the name of service of which the Lambda function is part of, that will be present across all log statements POWERTOOLS_SERVICE_NAME service_undefined Any string serverlessAirline serviceName
Logging level Sets how verbose Logger should be, from the most verbose to the least verbose (no logs) LOG_LEVEL info DEBUG, INFO, WARN, ERROR, SILENT ERROR logLevel
Log incoming event Whether to log or not the incoming event when using the decorator or middleware POWERTOOLS_LOGGER_LOG_EVENT false true, false false logEvent
Debug log sampling Probability that a Lambda invocation will print all the log items regardless of the log level setting POWERTOOLS_LOGGER_SAMPLE_RATE 0 0.0 to 1 0.5 sampleRateValue

Example using AWS Serverless Application Model (SAM)

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import { Logger } from '@aws-lambda-powertools/logger';

// Logger parameters fetched from the environment variables (see template.yaml tab)
const logger = new Logger();
logger.info('Hello World');

// You can also pass the parameters in the constructor
// const logger = new Logger({
//     logLevel: 'WARN',
//     serviceName: 'serverlessAirline'
// });

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Resources:
  ShoppingCartApiFunction:
    Type: AWS::Serverless::Function
    Properties:
      Runtime: nodejs18.x
      Environment:
        Variables:
          LOG_LEVEL: WARN
          POWERTOOLS_SERVICE_NAME: serverlessAirline

Standard structured keys

Your Logger will include the following keys to your structured logging (default log formatter):

Key Example Note
level: string INFO Logging level set for the Lambda function's invocation
message: string Query performed to DynamoDB A descriptive, human-readable representation of this log item
sampling_rate: float 0.1 When enabled, it prints all the logs of a percentage of invocations, e.g. 10%
service: string serverlessAirline A unique name identifier of the service this Lambda function belongs to, by default service_undefined
timestamp: string 2011-10-05T14:48:00.000Z Timestamp string in simplified extended ISO format (ISO 8601)
xray_trace_id: string 1-5759e988-bd862e3fe1be46a994272793 X-Ray Trace ID. This value is always presented in Lambda environment, whether tracing is enabled or not. Logger will always log this value.
error: Object { name: "Error", location: "/my-project/handler.ts:18", message: "Unexpected error #1", stack: "[stacktrace]"} Optional - An object containing information about the Error passed to the logger
Info

When POWERTOOLS_DEV environment variable is present and set to "true" or "1", Logger will pretty-print log messages for easier readability. We recommend to use this setting only when debugging on local environments.

Capturing Lambda context info

You can enrich your structured logs with key Lambda context information in multiple ways.

This functionality will include the following keys in your structured logs:

Key Example
cold_start: bool false
function_name string shopping-cart-api-lambda-prod-eu-west-1
function_memory_size: number 128
function_arn: string arn:aws:lambda:eu-west-1:123456789012:function:shopping-cart-api-lambda-prod-eu-west-1
function_request_id: string c6af9ac6-7b61-11e6-9a41-93e812345678

A note about Middy

Currently we support only Middy v3.x that you can install it by running npm i @middy/core@~3. Check their docs to learn more about Middy and its middleware stack as well as best practices when working with Powertools.

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import { Logger, injectLambdaContext } from '@aws-lambda-powertools/logger';
import middy from '@middy/core';

const logger = new Logger();

const lambdaHandler = async (
  _event: unknown,
  _context: unknown
): Promise<void> => {
  logger.info('This is an INFO log with some context');
};

export const handler = middy(lambdaHandler).use(injectLambdaContext(logger));

Info

Decorators can only be attached to a class declaration, method, accessor, property, or parameter. Therefore, if you prefer to write your handler as a standard function rather than a Class method, use the middleware or the manual instrumentation instead. See the official TypeScript documentation for more details.

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import { Logger } from '@aws-lambda-powertools/logger';
import { LambdaInterface } from '@aws-lambda-powertools/commons';

const logger = new Logger();

class Lambda implements LambdaInterface {
  // Decorate your handler class method
  @logger.injectLambdaContext()
  public async handler(_event: unknown, _context: unknown): Promise<void> {
    logger.info('This is an INFO log with some context');
  }
}

const myFunction = new Lambda();
export const handler = myFunction.handler.bind(myFunction); // (1)
  1. Binding your handler method allows your handler to access this within the class methods.
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import { Logger } from '@aws-lambda-powertools/logger';

const logger = new Logger();

export const handler = async (_event, context): Promise<void> => {
  logger.addContext(context);

  logger.info('This is an INFO log with some context');
};

In each case, the printed log will look like this:

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{
    "cold_start": true,
    "function_arn": "arn:aws:lambda:eu-west-1:123456789012:function:shopping-cart-api-lambda-prod-eu-west-1",
    "function_memory_size": 128,
    "function_request_id": "c6af9ac6-7b61-11e6-9a41-93e812345678",
    "function_name": "shopping-cart-api-lambda-prod-eu-west-1",
    "level": "INFO",
    "message": "This is an INFO log with some context",
    "service": "serverlessAirline",
    "timestamp": "2021-12-12T21:21:08.921Z",
    "xray_trace_id": "abcdef123456abcdef123456abcdef123456"
}

Log incoming event

When debugging in non-production environments, you can instruct Logger to log the incoming event with the middleware/decorator parameter logEvent or via POWERTOOLS_LOGGER_LOG_EVENT env var set to true.

Warning

This is disabled by default to prevent sensitive info being logged

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import { Logger, injectLambdaContext } from '@aws-lambda-powertools/logger';
import middy from '@middy/core';

const logger = new Logger();

const lambdaHandler = async (
  _event: unknown,
  _context: unknown
): Promise<void> => {
  logger.info('This is an INFO log with some context');
};

export const handler = middy(lambdaHandler).use(
  injectLambdaContext(logger, { logEvent: true })
);

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import { Logger } from '@aws-lambda-powertools/logger';
import { LambdaInterface } from '@aws-lambda-powertools/commons';

const logger = new Logger();

class Lambda implements LambdaInterface {
  // Set the log event flag to true
  @logger.injectLambdaContext({ logEvent: true })
  public async handler(_event: unknown, _context: unknown): Promise<void> {
    logger.info('This is an INFO log with some context');
  }
}

const myFunction = new Lambda();
export const handler = myFunction.handler.bind(myFunction); // (1)
  1. Binding your handler method allows your handler to access this within the class methods.

Appending persistent additional log keys and values

You can append additional persistent keys and values in the logs generated during a Lambda invocation using either mechanism:

  • Via the Logger's appendKeys method, for all log items generated after calling this method
  • Passing them in the Logger's constructor

To remove the keys you added, you can use the removeKeys method.

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import { Logger } from '@aws-lambda-powertools/logger';

// Add persistent log keys via the constructor
const logger = new Logger({
  persistentLogAttributes: {
    aws_account_id: '123456789012',
    aws_region: 'eu-west-1',
    logger: {
      name: '@aws-lambda-powertools/logger',
      version: '0.0.1',
    },
    extra_key: 'some-value',
  },
});

// OR add persistent log keys to an existing Logger instance with the appendKeys method:
// logger.appendKeys({
//     aws_account_id: '123456789012',
//     aws_region: 'eu-west-1',
//     logger: {
//         name: '@aws-lambda-powertools/logger',
//         version: '0.0.1',
//     },
//     extra_key: "some-value"
// });

export const handler = async (
  _event: unknown,
  _context: unknown
): Promise<unknown> => {
  // If you don't want to log the "extra_key" attribute in your logs, you can remove it
  logger.removeKeys(['extra_key']);

  // This info log will print all extra custom attributes added above
  // Extra attributes: logger object with name and version of the logger library, awsAccountId, awsRegion
  logger.info('This is an INFO log');
  logger.info('This is another INFO log');

  return {
    foo: 'bar',
  };
};

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{
    "level": "INFO",
    "message": "This is an INFO log",
    "service": "serverlessAirline",
    "timestamp": "2021-12-12T21:49:58.084Z",
    "xray_trace_id": "abcdef123456abcdef123456abcdef123456",
    "aws_account_id": "123456789012",
    "aws_region": "eu-west-1",
    "logger": { 
        "name": "@aws-lambda-powertools/logger",
        "version": "0.0.1"
    }
}
{
    "level": "INFO",
    "message": "This is another INFO log",
    "service": "serverlessAirline",
    "timestamp": "2021-12-12T21:49:58.088Z",
    "xray_trace_id": "abcdef123456abcdef123456abcdef123456",
    "aws_account_id": "123456789012",
    "aws_region": "eu-west-1",
    "logger": { 
        "name": "@aws-lambda-powertools/logger",
        "version": "0.0.1"
    }
}

Logger will automatically ignore any key with an undefined value

Clearing all state

The Logger utility is commonly initialized in the global scope, outside the handler function. When you attach persistent log attributes through the persistentLogAttributes constructor option or via the appendKeys, addPersistentLogAttributes methods, this data is attached to the Logger instance.

Due to the Lambda Execution Context reuse, this means those persistent log attributes may be reused across invocations. If you want to make sure that persistent attributes added inside the handler function code are not persisted across invocations, you can set the parameter clearState as true in the injectLambdaContext middleware or decorator.

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import { Logger, injectLambdaContext } from '@aws-lambda-powertools/logger';
import middy from '@middy/core';

// Persistent attributes added outside the handler will be
// cached across invocations
const logger = new Logger({
  logLevel: 'DEBUG',
  persistentLogAttributes: {
    foo: 'bar',
    biz: 'baz',
  },
});

const lambdaHandler = async (
  event: { special_key: string },
  _context: unknown
): Promise<void> => {
  // Persistent attributes added inside the handler will NOT be cached
  // across invocations
  if (event['special_key'] === '123456') {
    logger.appendKeys({
      details: { special_key: event['special_key'] },
    });
  }
  logger.debug('This is a DEBUG log');
};

// Enable the clear state flag
export const handler = middy(lambdaHandler).use(
  injectLambdaContext(logger, { clearState: true })
);

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import { Logger } from '@aws-lambda-powertools/logger';
import { LambdaInterface } from '@aws-lambda-powertools/commons';

// Persistent attributes added outside the handler will be
// cached across invocations
const logger = new Logger({
  logLevel: 'DEBUG',
  persistentLogAttributes: {
    foo: 'bar',
    biz: 'baz',
  },
});

class Lambda implements LambdaInterface {
  // Enable the clear state flag
  @logger.injectLambdaContext({ clearState: true })
  public async handler(event: unknown, _context: unknown): Promise<void> {
    // Persistent attributes added inside the handler will NOT be cached
    // across invocations
    if (event['special_key'] === '123456') {
      logger.appendKeys({
        details: { special_key: '123456' },
      });
    }
    logger.debug('This is a DEBUG log');
  }
}

const myFunction = new Lambda();
export const handler = myFunction.handler.bind(myFunction); // (1)
  1. Binding your handler method allows your handler to access this within the class methods.

In each case, the printed log will look like this:

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{
    "biz": "baz",
    "cold_start": true,
    "details": {
        "special_key": "123456",
    },
    "foo": "bar",
    "function_arn": "arn:aws:lambda:eu-west-1:123456789012:function:foo-bar-function",
    "function_memory_size": 128,
    "function_name": "foo-bar-function",
    "function_request_id": "abcdef123456abcdef123456",
    "level": "DEBUG",
    "message": "This is a DEBUG log with the user_id",
    "service": "hello-world",
    "timestamp": "2021-12-12T22:32:54.670Z",
    "xray_trace_id": "1-5759e988-bd862e3fe1be46a994272793"
}

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{
    "biz": "baz",
    "cold_start": false,
    "foo": "bar",
    "function_arn": "arn:aws:lambda:eu-west-1:123456789012:function:foo-bar-function",
    "function_memory_size": 128,
    "function_name": "foo-bar-function",
    "function_request_id": "abcdef123456abcdef123456",
    "level": "DEBUG",
    "message": "This is a DEBUG log with the user_id",
    "service": "hello-world",
    "timestamp": "2021-12-12T22:40:23.120Z",
    "xray_trace_id": "1-5759e988-bd862e3fe1be46a994272793"
}

Appending additional data to a single log item

You can append additional data to a single log item by passing objects as additional parameters.

  • Pass a simple string for logging it with default key name extra
  • Pass one or multiple objects containing arbitrary data to be logged. Each data object should be placed in an enclosing object as a single property value, you can name this property as you need: { myData: arbitraryObjectToLog }
  • If you already have an object containing a message key and an additional property, you can pass this object directly
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import { Logger } from '@aws-lambda-powertools/logger';

const logger = new Logger();

export const handler = async (
  event: unknown,
  _context: unknown
): Promise<unknown> => {
  const myImportantVariable = {
    foo: 'bar',
  };

  // Log additional data in single log items

  // As second parameter
  logger.info('This is a log with an extra variable', {
    data: myImportantVariable,
  });

  // You can also pass multiple parameters containing arbitrary objects
  logger.info(
    'This is a log with 3 extra objects',
    { data: myImportantVariable },
    { correlationIds: { myCustomCorrelationId: 'foo-bar-baz' } },
    { lambdaEvent: event }
  );

  // Simply pass a string for logging additional data
  logger.info('This is a log with additional string value', 'string value');

  // Directly passing an object containing both the message and the additional info
  const logObject = {
    message: 'This is a log message',
    additionalValue: 42,
  };

  logger.info(logObject);

  return {
    foo: 'bar',
  };
};

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{
    "level": "INFO",
    "message": "This is a log with an extra variable",
    "service": "serverlessAirline",
    "timestamp": "2021-12-12T22:06:17.463Z",
    "xray_trace_id": "abcdef123456abcdef123456abcdef123456",
    "data": { "foo": "bar" }
}
{
    "level": "INFO",
    "message": "This is a log with 3 extra objects",
    "service": "serverlessAirline",
    "timestamp": "2021-12-12T22:06:17.466Z",
    "xray_trace_id": "abcdef123456abcdef123456abcdef123456",
    "data": { "foo": "bar" },
    "correlationIds": { "myCustomCorrelationId": "foo-bar-baz" },
    "lambdaEvent": { 
        "exampleEventData": {
            "eventValue": 42
        }
    }
}
{
    "level": "INFO",
    "message": "This is a log with additional string value",
    "service": "serverlessAirline",
    "timestamp": "2021-12-12T22:06:17.463Z",
    "xray_trace_id": "abcdef123456abcdef123456abcdef123456",
    "extra": "string value"
}
{
    "level": "INFO",
    "message": "This is a log message",
    "service": "serverlessAirline",
    "timestamp": "2021-12-12T22:06:17.463Z",
    "xray_trace_id": "abcdef123456abcdef123456abcdef123456",
    "additionalValue": 42
}

Logging errors

You can log errors by using the error method and pass the error object as parameter. The error will be logged with default key name error, but you can also pass your own custom key name.

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import { Logger } from '@aws-lambda-powertools/logger';

const logger = new Logger();

export const handler = async (
  _event: unknown,
  _context: unknown
): Promise<void> => {
  try {
    throw new Error('Unexpected error #1');
  } catch (error) {
    // Log information about the error using the default "error" key
    logger.error('This is the first error', error as Error);
  }

  try {
    throw new Error('Unexpected error #2');
  } catch (error) {
    // Log information about the error using a custom "myCustomErrorKey" key
    logger.error('This is the second error', {
      myCustomErrorKey: error as Error,
    });
  }
};

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{
    "level": "ERROR",
    "message": "This is the first error",
    "service": "serverlessAirline",
    "timestamp": "2021-12-12T22:12:39.345Z",
    "xray_trace_id": "abcdef123456abcdef123456abcdef123456",
    "error": {
        "name": "Error",
        "location": "/path/to/my/source-code/my-service/handler.ts:18",
        "message": "Unexpected error #1",
        "stack": "Error: Unexpected error #1    at lambdaHandler (/path/to/my/source-code/my-service/handler.ts:18:11)    at Object.<anonymous> (/path/to/my/source-code/my-service/handler.ts:35:1)    at Module._compile (node:internal/modules/cjs/loader:1108:14)    at Module.m._compile (/path/to/my/source-code/node_modules/ts-node/src/index.ts:1371:23)    at Module._extensions..js (node:internal/modules/cjs/loader:1137:10)    at Object.require.extensions.<computed> [as .ts] (/path/to/my/source-code/node_modules/ts-node/src/index.ts:1374:12)    at Module.load (node:internal/modules/cjs/loader:973:32)    at Function.Module._load (node:internal/modules/cjs/loader:813:14)    at Function.executeUserEntryPoint [as runMain] (node:internal/modules/run_main:76:12)    at main (/path/to/my/source-code/node_modules/ts-node/src/bin.ts:331:12)"
    }
}
{   
    "level": "ERROR",
    "message": "This is the second error",
    "service": "serverlessAirline",
    "timestamp": "2021-12-12T22:12:39.377Z",
    "xray_trace_id": "abcdef123456abcdef123456abcdef123456",
    "myCustomErrorKey": {
        "name": "Error",
        "location": "/path/to/my/source-code/my-service/handler.ts:24",
        "message": "Unexpected error #2",
        "stack": "Error: Unexpected error #2    at lambdaHandler (/path/to/my/source-code/my-service/handler.ts:24:11)    at Object.<anonymous> (/path/to/my/source-code/my-service/handler.ts:35:1)    at Module._compile (node:internal/modules/cjs/loader:1108:14)    at Module.m._compile (/path/to/my/source-code/node_modules/ts-node/src/index.ts:1371:23)    at Module._extensions..js (node:internal/modules/cjs/loader:1137:10)    at Object.require.extensions.<computed> [as .ts] (/path/to/my/source-code/node_modules/ts-node/src/index.ts:1374:12)    at Module.load (node:internal/modules/cjs/loader:973:32)    at Function.Module._load (node:internal/modules/cjs/loader:813:14)    at Function.executeUserEntryPoint [as runMain] (node:internal/modules/run_main:76:12)    at main (/path/to/my/source-code/node_modules/ts-node/src/bin.ts:331:12)"
    }
}

Logging errors and log level

You can also log errors using the warn, info, and debug methods. Be aware of the log level though, you might miss those errors when analyzing the log later depending on the log level configuration.

Advanced

Log levels

The default log level is INFO and can be set using the logLevel constructor option or by using the LOG_LEVEL environment variable.

Logger supports the following log levels:

Level Numeric value
DEBUG 8
INFO 12
WARN 16
ERROR 20
CRITICAL 24
SILENT 28

You can access the current log level by using the getLevelName() method. This method returns the name of the current log level as a string. If you want to change the log level at runtime, you can use the setLogLevel() method. This method accepts a string value that represents the log level you want to set, both lower and upper case values are supported.

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import { Logger } from '@aws-lambda-powertools/logger';

const logger = new Logger();

logger.getLevelName(); // returns "INFO"
logger.setLogLevel('DEBUG');
logger.level; // returns 8

If you want to access the numeric value of the current log level, you can use the level property. For example, if the current log level is INFO, logger.level property will return 12.

Silencing logs

The SILENT log level provides a simple and efficient way to suppress all log messages without the need to modify your code. When you set this log level, all log messages, regardless of their severity, will be silenced.

This feature is useful when you want to have your code instrumented to produce logs, but due to some requirement or business decision, you prefer to not emit them.

By setting the log level to SILENT, which can be done either through the logLevel constructor option or by using the LOG_LEVEL environment variable, you can easily suppress all logs as needed.

Note

Use the SILENT log level with care, as it can make it more challenging to monitor and debug your application. Therefore, we advise using this log level judiciously.

Using multiple Logger instances across your code

The createChild method allows you to create a child instance of the Logger, which inherits all of the attributes from its parent. You have the option to override any of the settings and attributes from the parent logger, including its settings, any persistent attributes, and the log formatter. Once a child logger is created, the logger and its parent will act as separate instances of the Logger class, and as such any change to one won't be applied to the other.

The following example shows how to create multiple Loggers that share service name and persistent attributes while specifying different logging levels within a single Lambda invocation. As the result, only ERROR logs with all the inherited attributes will be displayed in CloudWatch Logs from the child logger, but all logs emitted will have the same service name and persistent attributes.

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import { Logger } from '@aws-lambda-powertools/logger';

// This logger has a service name, some persistent attributes
// and log level set to INFO
const logger = new Logger({
  serviceName: 'serverlessAirline',
  logLevel: 'INFO',
  persistentLogAttributes: {
    aws_account_id: '123456789012',
    aws_region: 'eu-west-1',
  },
});

// This other logger inherits all the parent's attributes
// but the log level, which is now set to ERROR
const childLogger = logger.createChild({
  logLevel: 'ERROR',
});

export const handler = async (
  _event: unknown,
  _context: unknown
): Promise<void> => {
  logger.info('This is an INFO log, from the parent logger');
  logger.error('This is an ERROR log, from the parent logger');

  childLogger.info('This is an INFO log, from the child logger');
  childLogger.error('This is an ERROR log, from the child logger');
};

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{
    "level": "INFO",
    "message": "This is an INFO log, from the parent logger",
    "service": "serverlessAirline",
    "timestamp": "2021-12-12T22:32:54.667Z",
    "aws_account_id":"123456789012",
    "aws_region":"eu-west-1",
    "xray_trace_id": "abcdef123456abcdef123456abcdef123456"
}
{
    "level": "ERROR",
    "message": "This is an ERROR log, from the parent logger",
    "service": "serverlessAirline",
    "timestamp": "2021-12-12T22:32:54.670Z",
    "aws_account_id":"123456789012",
    "aws_region":"eu-west-1",
    "xray_trace_id": "abcdef123456abcdef123456abcdef123456"
}
{
    "level": "ERROR",
    "message": "This is an ERROR log, from the child logger",
    "service": "serverlessAirline",
    "timestamp": "2021-12-12T22:32:54.670Z",
    "aws_account_id":"123456789012",
    "aws_region":"eu-west-1",
    "xray_trace_id": "abcdef123456abcdef123456abcdef123456"
}

Sampling logs

Use sampling when you want to print all the log items generated in your code, based on a percentage of your concurrent/cold start invocations.

You can do that by setting a "sample rate", a float value ranging from 0.0 (0%) to 1 (100%), by using a POWERTOOLS_LOGGER_SAMPLE_RATE env var or passing the sampleRateValue parameter in the Logger constructor. This number represents the probability that a Lambda invocation will print all the log items regardless of the log level setting.

For example, by setting the "sample rate" to 0.5, roughly 50% of your lambda invocations will print all the log items, including the debug ones.

When is this useful?

In production, to avoid log data pollution and reduce CloudWatch costs, developers are encouraged to use the logger with logLevel equal to ERROR or WARN. This means that only errors or warnings will be printed.

However, it might still be useful to print all the logs (including debug ones) of a very small percentage of invocations to have a better understanding of the behaviour of your code in production even when there are no errors.

Sampling decision happens at the Logger initialization. This means sampling may happen significantly more or less than depending on your traffic patterns, for example a steady low number of invocations and thus few cold starts. If you want to reset the sampling decision and refresh it for each invocation, you can call the logger.refreshSampleRateCalculation() method at the beginning or end of your handler.

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import { Logger } from '@aws-lambda-powertools/logger';

// Notice the log level set to 'ERROR'
const logger = new Logger({
  logLevel: 'ERROR',
  sampleRateValue: 0.5,
});

export const handler = async (
  _event: unknown,
  _context: unknown
): Promise<void> => {
  // This log item (equal to log level 'ERROR') will be printed to standard output
  // in all Lambda invocations
  logger.error('This is an ERROR log');

  // These log items (below the log level 'ERROR') have ~50% chance
  // of being printed in a Lambda invocation
  logger.debug('This is a DEBUG log that has 50% chance of being printed');
  logger.info('This is an INFO log that has 50% chance of being printed');
  logger.warn('This is a WARN log that has 50% chance of being printed');

  // Optional: refresh sample rate calculation on runtime
  // logger.refreshSampleRateCalculation();
};

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{
    "level": "ERROR",
    "message": "This is an ERROR log",
    "sampling_rate": "0.5",
    "service": "serverlessAirline",
    "timestamp": "2021-12-12T22:59:06.334Z",
    "xray_trace_id": "abcdef123456abcdef123456abcdef123456"
}
{
    "level": "DEBUG",
    "message": "This is a DEBUG log that has 50% chance of being printed",
    "sampling_rate": "0.5", 
    "service": "serverlessAirline",
    "timestamp": "2021-12-12T22:59:06.337Z",
    "xray_trace_id": "abcdef123456abcdef123456abcdef123456"
}
{
    "level": "INFO",
    "message": "This is an INFO log that has 50% chance of being printed",
    "sampling_rate": "0.5", 
    "service": "serverlessAirline",
    "timestamp": "2021-12-12T22:59:06.338Z",
    "xray_trace_id": "abcdef123456abcdef123456abcdef123456"
}
{
    "level": "WARN",
    "message": "This is a WARN log that has 50% chance of being printed",
    "sampling_rate": "0.5", 
    "service": "serverlessAirline",
    "timestamp": "2021-12-12T22:59:06.338Z",
    "xray_trace_id": "abcdef123456abcdef123456abcdef123456"
}

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{
    "level": "ERROR",
    "message": "This is an ERROR log",
    "sampling_rate": "0.5",
    "service": "serverlessAirline",
    "timestamp": "2021-12-12T22:59:06.334Z",
    "xray_trace_id": "abcdef123456abcdef123456abcdef123456"
}

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{
    "level": "ERROR",
    "message": "This is an ERROR log",
    "sampling_rate": "0.5",
    "service": "serverlessAirline",
    "timestamp": "2021-12-12T22:59:06.334Z",
    "xray_trace_id": "abcdef123456abcdef123456abcdef123456"
}
{
    "level": "DEBUG",
    "message": "This is a DEBUG log that has 50% chance of being printed",
    "sampling_rate": "0.5", 
    "service": "serverlessAirline",
    "timestamp": "2021-12-12T22:59:06.337Z",
    "xray_trace_id": "abcdef123456abcdef123456abcdef123456"
}
{
    "level": "INFO",
    "message": "This is an INFO log that has 50% chance of being printed",
    "sampling_rate": "0.5", 
    "service": "serverlessAirline",
    "timestamp": "2021-12-12T22:59:06.338Z",
    "xray_trace_id": "abcdef123456abcdef123456abcdef123456"
}
{
    "level": "WARN",
    "message": "This is a WARN log that has 50% chance of being printed",
    "sampling_rate": "0.5", 
    "service": "serverlessAirline",
    "timestamp": "2021-12-12T22:59:06.338Z",
    "xray_trace_id": "abcdef123456abcdef123456abcdef123456"
}

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{
    "level": "ERROR",
    "message": "This is an ERROR log",
    "sampling_rate": "0.5",
    "service": "serverlessAirline",
    "timestamp": "2021-12-12T22:59:06.334Z",
    "xray_trace_id": "abcdef123456abcdef123456abcdef123456"
}

Custom Log formatter (Bring Your Own Formatter)

You can customize the structure (keys and values) of your log items by passing a custom log formatter, an object that implements the LogFormatter abstract class.

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import { Logger } from '@aws-lambda-powertools/logger';
import { MyCompanyLogFormatter } from './utils/formatters/MyCompanyLogFormatter';

const logger = new Logger({
  logFormatter: new MyCompanyLogFormatter(),
  logLevel: 'DEBUG',
  serviceName: 'serverlessAirline',
  sampleRateValue: 0.5,
  persistentLogAttributes: {
    awsAccountId: process.env.AWS_ACCOUNT_ID,
    logger: {
      name: '@aws-lambda-powertools/logger',
      version: '0.0.1',
    },
  },
});

export const handler = async (event, context): Promise<void> => {
  logger.addContext(context);

  logger.info('This is an INFO log', {
    correlationIds: { myCustomCorrelationId: 'foo-bar-baz' },
  });
};

This is how the MyCompanyLogFormatter (dummy name) would look like:

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import { LogFormatter } from '@aws-lambda-powertools/logger';
import {
  LogAttributes,
  UnformattedAttributes,
} from '@aws-lambda-powertools/logger/lib/types';

// Replace this line with your own type
type MyCompanyLog = LogAttributes;

class MyCompanyLogFormatter extends LogFormatter {
  public formatAttributes(attributes: UnformattedAttributes): MyCompanyLog {
    return {
      message: attributes.message,
      service: attributes.serviceName,
      environment: attributes.environment,
      awsRegion: attributes.awsRegion,
      correlationIds: {
        awsRequestId: attributes.lambdaContext?.awsRequestId,
        xRayTraceId: attributes.xRayTraceId,
      },
      lambdaFunction: {
        name: attributes.lambdaContext?.functionName,
        arn: attributes.lambdaContext?.invokedFunctionArn,
        memoryLimitInMB: attributes.lambdaContext?.memoryLimitInMB,
        version: attributes.lambdaContext?.functionVersion,
        coldStart: attributes.lambdaContext?.coldStart,
      },
      logLevel: attributes.logLevel,
      timestamp: this.formatTimestamp(attributes.timestamp), // You can extend this function
      logger: {
        sampleRateValue: attributes.sampleRateValue,
      },
    };
  }
}

export { MyCompanyLogFormatter };

This is how the printed log would look:

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{
    "message": "This is an INFO log",
    "service": "serverlessAirline",
    "awsRegion": "eu-west-1",
    "correlationIds": {
        "awsRequestId": "c6af9ac6-7b61-11e6-9a41-93e812345678",
        "xRayTraceId": "abcdef123456abcdef123456abcdef123456",
        "myCustomCorrelationId": "foo-bar-baz"
    },
    "lambdaFunction": {
        "name": "shopping-cart-api-lambda-prod-eu-west-1",
        "arn": "arn:aws:lambda:eu-west-1:123456789012:function:shopping-cart-api-lambda-prod-eu-west-1",
        "memoryLimitInMB": 128,
        "version": "$LATEST",
        "coldStart": true
    },
    "logLevel": "INFO",
    "timestamp": "2021-12-12T23:13:53.404Z",
    "logger": {
        "sampleRateValue": "0.5",
        "name": "aws-lambda-powertools-typescript",
        "version": "0.0.1"
    },
    "awsAccountId": "123456789012"
}

Custom Log formatter and Child loggers

It is not necessary to pass the LogFormatter each time a child logger is created. The parent's LogFormatter will be inherited by the child logger.

Testing your code

Inject Lambda Context

When unit testing your code that makes use of logger.addContext() or injectLambdaContext middleware and decorator, you can optionally pass a dummy Lambda Context if you want your logs to contain this information.

This is a Jest sample that provides the minimum information necessary for Logger to inject context data:

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import { ContextExamples as dummyContext } from '@aws-lambda-powertools/commons';

describe('MyUnitTest', () => {
  test('Lambda invoked successfully', async () => {
    const testEvent = { test: 'test' };
    await handler(testEvent, dummyContext);
  });
});

Tip

If you don't want to declare your own dummy Lambda Context, you can use ContextExamples.helloworldContext from @aws-lambda-powertools/commons.

Suppress logs with Jest

When unit testing your code with Jest you can use the POWERTOOLS_DEV environment variable in conjunction with the Jest --silent CLI option to suppress logs from Logger.

Disabling logs while testing with Jest
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export POWERTOOLS_DEV=true && npx jest --silent
Last update: 2023-06-21