Skip to main content

Utilities for integration between serverless execution environments and DataDog

Project description

DataDog Serverless Utils

Utilities for integration between serverless execution environments and DataDog

Error Tracking for Serverless Execution Environments

Serverless execution environments (e.g. Cloud Functions) are finished by the cloud provider as soon as the execution finished. Sometimes, the DataDog tracer (ddtrace) does not have a chance to send the collected traces especially when it ends abruptly due to an unhandled exception.

This library offers a decorator to make sure ddtrace can send the telemetry data before the execution ends.

Setup

Make sure ddtrace config is correctly set up as mentioned on the docs.

Usage

Decorate your function as follows and voilà!

from datadog_serverless_utils import datadog_serverless


@datadog_serverless
def main():
    ...

A return value can be specified for the case when the decorated function raises an unhandled exception via the parameter error_return_value:

@datadog_serverless(error_return_value="my_value")
def main():
    ...

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

datadog-serverless-utils-1.0.1.tar.gz (2.6 kB view details)

Uploaded Source

File details

Details for the file datadog-serverless-utils-1.0.1.tar.gz.

File metadata

File hashes

Hashes for datadog-serverless-utils-1.0.1.tar.gz
Algorithm Hash digest
SHA256 b086b48aace8f3a7e6c9113fbd24f138765f30d2b5c2001c30350c01f2db8362
MD5 bb706368770210d9305cdbedf5b4ff17
BLAKE2b-256 db52030ba272a01be387edbe132650b84fc0addd8abbf180890b63c450038579

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page