Upgrading to 0.40.0

This release includes performance improvements in the core library, updates profiling, and configuration changes to several integrations. This release also adds support for installing on Windows.

grpc

• Use ddtrace.config.grpc["service_name"] to set service name reported by default for gRPC client instances. The DD_GRPC_SERVICE environment variable can also be used.

redis

• Use ddtrace.config.redis["service"] to set the service name for the redis integration. The environment variable DD_REDIS_SERVICE can also be used.

httplib

• To enable distributed tracing, use ddtrace.config.httplib["distributed_tracing"]. By default, distributed tracing for httplib is disabled.

Changes

Improvements

• fix(monkey): use lock on manual patched module add (#1479 -- thanks @uniq10)
• core: re-enable custom rng (#1474)
• core: rewrite queue (#1534)
• pin: make service optional (#1529)
• feat(ddtrace-run): allow to enable profiling (#1537)
• feat(profiling): enable flush on exit by default for Profiler (#1524)
• fix(grpc): compute service name dynamically (#1530)
• feat(redis): add global service configuration (#1515)
• feat(httplib): support distributed tracing (#1522 -- thanks @jirikuncar)
• refactor(profiling): hide Profiler._schedulers (#1523)
• feat(profiling): set Datadog-Container-Id when uploading profiles (#1520)
• feat(profiling/http): emit log message when server returns 400 (#1477)
• feat(profiling): validate API key format (#1459)

Bug fixes

• fix(profiling): fix memory leak in Python 2 stack collector (#1568)
• fix(profiling): disable exception profiling on Windows (#1538)
• fix(profiling/stack): fix GIL switching (#1475)

Full changeset

Read the full changeset.