Lambda Auto-Instrumentation
The OpenTelemetry community provides standalone instrumentation Lambda layers for the following languages:
- Java
- JavaScript
- Python
These can be added to your Lambda using the AWS portal to automatically instrument your application. These layers do not include the Collector which is a required addition unless you configure an external Collector instance to send your data.
Add the ARN of the OTel Collector Lambda layer
See the Collector Lambda layer guidance to add the layer to your application and configure the Collector. We recommend you add this first.
Language Requirements
The Lambda layer supports the Java 11 (Corretto) Lambda runtime. It does not support the Java 8 Lambda runtimes. For more information about supported Java versions, see the OpenTelemetry Java documentation.
Note: The Java Auto-instrumentation Agent is in the Lambda layer - Automatic instrumentation has a notable impact on startup time on AWS Lambda and you will generally need to use this along with provisioned concurrency and warmup requests to serve production requests without causing timeouts on initial requests while it initializes.
By default, the OTel Java Agent in the Layer will try to auto-instrument all the code in your application. This can have a negative impact on the Lambda cold startup time.
We recommend that you only enable auto-instrumentation for the libraries/frameworks that are used by your application.
To enable only specific instrumentations you can use the following environment variables:
* OTEL_INSTRUMENTATION_COMMON_DEFAULT_ENABLED - When set to false, disables auto-instrumentation in the Layer, requiring each instrumentation to be enabled individually.
* OTEL_INSTRUMENTATION_[NAME]_ENABLED - Set to true to enable auto-instrumentation for a specific library or framework. [NAME] should be replaced by the instrumentation that you want to enable. The full list of available instrumentations can be found in this link.
For example, to only enable auto-instrumentation for Lambda and the AWS SDK, you would have to set the following environment variables:
```bash
Copy
OTEL_INSTRUMENTATION_COMMON_DEFAULT_ENABLED=false
OTEL_INSTRUMENTATION_AWS_LAMBDA_ENABLED=true
OTEL_INSTRUMENTATION_AWS_SDK_ENABLED=true
```
The Lambda layer supports Node.JS v14+ Lambda runtimes. For more information about supported JavaScript and Node.JS versions, see the OpenTelemetry JavaScript documentation.
The Lambda layer supports Python 3.8 and Python 3.9 Lambda runtimes. For more information about supported Python versions, see the OpenTelemetry Python documentation and the package on PyPi.
Add the ARN of Instrumentation Lambda Layer
To enable the OTel auto-instrumentation in your Lambda function, you need to add and configure the instrumentation and Collector layers, and then enable tracing.
- Open the Lambda function you intend to instrument in the AWS console.
- In the Layers in Designer section, choose Add a layer.
- Under specify an ARN, paste the layer ARN, and then choose Add.
Configure your SDK exporters
The default exporters used by the Lambda layers will work without any changes if there is an embedded Collector with gRPC / HTTP receivers. The environment variables do not need to be updated. However, there are varying levels of protocol support and default values by language which are documented below.
OTEL_EXPORTER_OTLP_PROTOCOL=grpc Supports: grpc, http/protobuf and
http/json OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4317
OTEL_EXPORTER_OTLP_PROTOCOL=http/protobuf Supports: http/protobuf and
http/json OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4318
OTEL_EXPORTER_OTLP_PROTOCOL env var is not supported The hard coded exporter
uses the protocol http/protobuf
OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4318
Publish your Lambda
Publish a new version of your Lambda to deploy the new changes and instrumentation.