Datadog Serverless Plugin
Datadog recommends the Serverless Framework Plugin for developers using the Serverless Framework to deploy their serverless applications.
The plugin automatically configures ingestion of metrics, traces, and logs from your serverless applications by:
- Installing and configuring the Datadog Lambda library for your Python and Node.js Lambda functions.
- Enabling the collection of enhanced Lambda metrics and custom metrics from your Lambda functions.
- Managing subscriptions from the Datadog Forwarder to your Lambda function log groups.
Getting started
To quickly get started, follow the installation instructions for Python or Node.js, and view your function's enhanced metrics, traces, and logs in Datadog. These instructions will get you a basic working setup.
More configuration options
To further configure your plugin, use the following custom parameters in your serverless.yml
:
Parameter | Description |
---|
flushMetricsToLogs | Send custom metrics by using logs with the Datadog Forwarder Lambda function (recommended). Defaults to true . If you disable this parameter, it's required to set the parameters site and apiKey (or apiKMSKey if encrypted). |
site | Set which Datadog site to send data, only needed when flushMetricsToLogs is false . Possible values are datadoghq.com , datadoghq.eu , us3.datadoghq.com and ddog-gov.com . The default is datadoghq.com . |
apiKey | Datadog API Key, only needed when flushMetricsToLogs is false . For more information about getting a Datadog API key, see the API key documentation. |
apiKMSKey | Datadog API Key encrypted using KMS. Use this parameter in place of apiKey when flushMetricsToLogs is false , and you are using KMS encryption. |
addLayers | Whether to install the Datadog Lambda library as a layer. Defaults to true . Set to false when you plan to package the Datadog Lambda library to your function's deployment package on your own so that you can install a specific version of the Datadog Lambda library (Python or Node.js). |
logLevel | The log level, set to DEBUG for extended logging. Defaults to info . |
enableXrayTracing | Set true to enable X-Ray tracing on the Lambda functions and API Gateway integrations. Defaults to false . |
enableDDTracing | Enable Datadog tracing on the Lambda function. Defaults to true . When enabled, it's required to set the forwarderArn parameter. |
forwarderArn | Setting this parameter subscribes the Lambda functions' CloudWatch log groups to the given Datadog forwarder Lambda function. Required when enableDDTracing is set to true . |
enableTags | When set, automatically tag the Lambda functions with the service and env tags using the service and stage values from the serverless application definition. It does NOT override if a service or env tag already exists. Defaults to true . |
injectLogContext | When set, the lambda layer will automatically patch console.log with Datadog's tracing ids. Defaults to true . |
exclude | When set, this plugin will ignore all specified functions. Use this parameter if you have any functions that should not include Datadog functionality. Defaults to [] . |
enabled | When set to false, the DataDog plugin will stay inactive. Defaults to true . You can control this option using an environment variable, e.g. enabled: ${strToBool(${env:DD_PLUGIN_ENABLED, true})} , to activate/deactivate the plugin during deployment. Alernatively, you can also use the value passed in through --stage to control this option, see example. |
To use any of these parameters, add a custom
> datadog
section to your serverless.yml
similar to this example:
custom:
datadog:
flushMetricsToLogs: true
apiKey: "{Datadog_API_Key}"
apiKMSKey: "{Encripted_Datadog_API_Key}"
addLayers: true
logLevel: "info"
enableXrayTracing: false
enableDDTracing: true
forwarderArn: arn:aws:lambda:us-east-1:000000000000:function:datadog-forwarder
enableTags: true
injectLogContext: true
exclude:
- dd-excluded-function
Note: If you use webpack, Datadog recommends using the prebuilt layers by setting addLayers
to true
, which is the default, and add datadog-lambda-js
and dd-trace
to the externals section of your webpack config.
TypeScript
If you are using serverless-typescript, make sure that serverless-datadog
is above the serverless-typescript
entry in your serverless.yml
. The plugin will automatically detect .ts
files.
plugins:
- serverless-plugin-datadog
- serverless-typescript
If you use TypeScript, you may encounter the error of missing type definitions. A missing type definition happens when you use the prebuilt layers (for example, set addLayers
to true
, which is the default) and need to import helper functions from the datadog-lambda-js
and dd-trace
packages to submit custom metrics or instrument a specific function. To resolve the error, add datadog-lambda-js
and dd-trace
to the devDependencies
list of your project's package.json.
Webpack
dd-trace
is known to be not compatible with webpack due to the use of conditional import and other issues. If using webpack, make sure to mark datadog-lambda-js
and dd-trace
as externals for webpack, so webpack knows these dependencies will be available in the runtime. You should also remove datadog-lambda-js
and dd-trace
from package.json
and the build process to ensure you're using the versions provided by the Datadog Lambda Layer.
serverless-webpack
If using serverless-webpack
, make sure to also exclude datadog-lambda-js
and dd-trace
in your serverless.yml
in addition to declaring them as external in your webpack config file.
webpack.config.js
var nodeExternals = require('webpack-node-externals')
module.exports = {
externals: [nodeExternals(), 'dd-trace', 'datadog-lambda-js'],
}
serverless.yml
custom:
webpack:
includeModules:
forceExclude:
- dd-trace
- datadog-lambda-js
Forwarder
The Datadog Forwarder Lambda function needs to be installed and subscribed to your Lambda functions' log groups. The plugin automatically creates the log subscriptions when the Forwarder's ARN is supplied via the forwarderArn
option.
If you run into the following error, double check the supplied Forwarder ARN is correct and ensure it is from the same region and account where your serverless application is deployed.
An error occurred: GetaccountapiLogGroupSubscription - Could not execute the lambda function. Make sure you have given CloudWatch Logs permission to execute your function. (Service: AWSLogs; Status Code: 400; Error Code: InvalidParameterException).
Disable Plugin for Particular Environment
If you'd like to turn off the plugin based on the environment (passed via --stage
), you can use something similar to the example below.
provider:
stage: ${self:opt.stage, 'dev'}
custom:
staged: ${self:custom.stageVars.${self:provider.stage}, {}}
stageVars:
dev:
dd_enabled: false
datadog:
enabled: ${self:custom.staged.dd_enabled, true}
Opening Issues
If you encounter a bug with this package, let us know by filing an issue! Before opening a new issue, please search the existing issues to avoid duplicates.
When opening an issue, include your Serverless Framework version, Python/Node.js version, and stack trace if available. Also, please include the steps to reproduce when appropriate.
You can also open an issue for a feature request.
Contributing
If you find an issue with this package and have a fix, please feel free to open a pull request following the procedures.
For product feedback and questions, join the #serverless
channel in the Datadog community on Slack.
License
Unless explicitly stated otherwise, all files in this repository are licensed under the Apache License Version 2.0.
This product includes software developed at Datadog (https://www.datadoghq.com/). Copyright 2019 Datadog, Inc.