Ddtrace

* Datadog Agent 5.11.0 or above is required.
* If you're using the `ThreadLocalSpanBuffer` manually, you need to use the [Context class][8] in your logic so that it is compliant with the `Context` propagation. Check the [Advanced usage][9] section.

**Advanced usage**
This is a list of new features that may be used for manual instrumentation when you're using a library or a framework that is not currently supported:
* Use `Context` propagation instead of a global buffer. This plays well with asynchronous programming where a context switching may happen while handling different logical execution flows (172)
* `tracer.trace()` handles automatically the `Context` propagation and remains the preferable API
* Add `tracer.get_call_context()` to retrieve the current `Context` instance that is holding the entire trace for this logical execution ([docs][4])
* Add `start_span` as a way to manually create spans, while handling the Context propagation ([docs][5])

Read the [full changeset](https://github.com/DataDog/dd-trace-py/compare/v0.5.5...v0.6.0).

[1]: http://pypi.datadoghq.com/trace/docs/#module-ddtrace.contrib.asyncio
[2]: http://pypi.datadoghq.com/trace/docs/#module-ddtrace.contrib.aiohttp
[3]: http://pypi.datadoghq.com/trace/docs/#module-ddtrace.contrib.gevent
[4]: http://pypi.datadoghq.com/trace/docs/#ddtrace.Tracer.get_call_context
[5]: http://pypi.datadoghq.com/trace/docs/#ddtrace.Tracer.start_span
[6]: http://pypi.datadoghq.com/trace/docs/#module-ddtrace.contrib.celery
[7]: http://pypi.datadoghq.com/trace/docs/#supported-versions
[8]: https://github.com/DataDog/dd-trace-py/blob/853081c0f2707bcda59c50239505a5ceaed33945/ddtrace/context.py#L8
[9]: http://pypi.datadoghq.com/trace/docs/#advanced-usage
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**Improvements**
- ElasticSearch integration takes care of the returning status code in case of a `TransportError` (175)

**Bugfixes**
- Pyramid integration handles properly the `Span.error` attribute if the response is a server error (176)

Read the [full changeset](https://github.com/DataDog/dd-trace-py/compare/v0.5.4...v0.5.5).

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Integrations
- added the Pyramid web framework

Enhancements
- `tracer.set_tags()` will add tags to all spans created by a tracer.
- `span.tracer()` will return the tracer that created a given span

Bug Fixes
- correctly set service types on the Mongo and Falcon integrations.
- documentation fixes
- send less data to the agent in the SQL and redis integrations.

Read the [full changeset](https://github.com/DataDog/dd-trace-py/compare/v0.5.3...v0.5.4)

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**Bugfixes**
- [ElasticSearch] use ElasticSearch serializer so that the serialization works with dates, decimals and UUIDs 131
- [Django] use an integer value for `AGENT_PORT` because Django recast strings as unicode strings, which invalidate the input for `getaddrinfo()` in Python 2.7 140
- [Tracer] downgrade high throughput log messages to debug so that it doesn't flood users logs 143

**Compatibility**
- don't check if `django.contrib.auth` is installed through the `django.apps` module. This improves the best-effort support for `Django < 1.7` 136

Read the [full changeset](https://github.com/DataDog/dd-trace-py/compare/v0.5.2...v0.5.3)

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0.5.2 is a bugfix release.

Bug Fixes
- include bottle docs

Read the [full changeset](https://github.com/DataDog/dd-trace-py/compare/v0.5.1...v0.5.2).

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0.5.1 is a bugfix release.

Bug Fixes
- properly trace pymongo `$in` queries (See 125)
- properly normalize bound and batch cassandra statements (see 126)
- made the legacy cassandra tracing a no-op.

Read the [full changeset](https://github.com/DataDog/dd-trace-py/compare/v0.5.0...v0.5.1).

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