DataDog/dd-trace-py v0.12.0

0.12.0

on GitHub

New integrations

• [boto] Botocore and boto instrumentation is enabled by default using patch_all() (#319)
• [futures] provide context propagation for concurrent module (#429, docs)
• [mysql] add pymysql support (#296, docs -- thanks @wklken)

Improvements

• [core] introducing a low-level API to define configurations for each integration. This API is used only by the requests module and will be implemented in other integrations in newer releases (#445, #443, #450, #454, #441)
• [celery] split the service name in celery-producer and celery-worker for better stats (#432)
• [falcon] add distributed tracing (#437)
• [requests] provide a default service name for the request Span (#433)
• [requests] add split_by_domain config to split service name by domain (#434)
• [tornado] better compatibility using futures instrumentation (#431)

Bugfixes

• [core] ensure sitecustomize.py is imported when ddtrace-run wrapper is used (#458)
• [flask] use ddtrace logger instead of Flask to avoid having a custom log filter (#447, #455)

Breaking changes

• [celery] the name of the service is now split in two different services: celery-producer and celery-worker. After the upgrade, you'll stop sending data to what was the default service name (celery). You should check the new services instead because you'll see a drop. Previously reported traces in the celery service, are still available if you move back the time selector.

Read the full changeset and the release milestone.