Automatically instrument profiling for Node and Python when Sentry is set up via the Lambda Layer

[cstavitsky]

Problem Statement

Currently the Lambda Layer setup instructions for serverless functions suggest that errors and performance is automatically enabled:

You can configure Sentry by setting these environment variables for your Lambda function:
SENTRY_INITIAL_HANDLER: The handler function of your AWS Lambda funtion.
SENTRY_DSN: This is set to the DSN of your project
SENTRY_TRACES_SAMPLE_RATE: This sets the sampling rate for transactions.

(I assume this applies to both Node and Python. The Node lambda layer docs are not explicit about what you get out of the box)

Beyond the above, though, it seems profiling has to be manually set up for Node lambdas and I believe also for Python lambdas. This manual step can be difficult when a customer has, say 1000 lambdas and doesn't want to instrument them all with profiling individually.

Solution Brainstorm

Add a configuration option for Node and Python profiling in the lambda layer.

Product Area

Profiling

[getsantry]

Assigning to @getsentry/support for routing ⏲️

[getsantry]

Routing to @getsentry/product-owners-profiling for triage ⏲️

[JonasBa]

@AbhiPrasad I guess this would mean that we inject the profiling integration based on an env variable. Is this something that we do in any other SDK and would there be a reason not to do this?

[AbhiPrasad]

I guess this would mean that we inject the profiling integration based on an env variable

This is a little more complicated because this means we would have to bundle in @sentry/profiling-node with the lambda layer we upload to AWS (also all of this lambda layer code is scary to touch).

I think the environmental variable is a great idea, but the bundling will cause us complexities, especially because there are 0 tests. I'm going to transfer this to the Sentry JavaScript SDK repo, but backlog because we have higher priority items atm. Maybe after v8 releases we can revisit.