Use latest release to dd-trace-py

Author: DarcyRaynerDD

Dockerfile

@@ -10,7 +10,6 @@ WORKDIR /build
 # Install datadog_lambda and dependencies from local
 COPY . .
 RUN pip install . -t ./python/lib/$runtime/site-packages
-RUN pip install --find-links=https://s3.amazonaws.com/pypi.datadoghq.com/trace-dev/index.html ddtrace==0.35.1.dev5+g1e11b2dd -t ./python/lib/$runtime/site-packages
 
 # Remove *.pyc files
 RUN find ./python/lib/$runtime/site-packages -name \*.pyc -delete

README.md

@@ -271,7 +271,7 @@ def lambda_handler(event, context):
 
 You can now trace Lambda functions using Datadog APM's tracing libraries ([dd-trace-py](https://github.com/DataDog/dd-trace-py)).
 
-1. If you are using the Lambda layer, upgrade it to at least version X.
+1. If you are using the Lambda layer, upgrade it to at least version 15.
 1. If you are using the pip package `datadog-lambda-python`, upgrade it to at least version `v0.X.0`.
 1. Install (or update to) the latest version of [Datadog forwarder Lambda function](https://docs.datadoghq.com/integrations/amazon_web_services/?tab=allpermissions#set-up-the-datadog-lambda-function). Ensure the trace forwarding layer is attached to the forwarder, e.g., ARN for Python 2.7 `arn:aws:lambda:<AWS_REGION>:464622532012:layer:Datadog-Trace-Forwarder-Python27:4`.
 1. Set the environment variable `DD_TRACE_ENABLED` to true on your function.

datadog_lambda/__init__.py

@@ -1,6 +1,6 @@
 # The minor version corresponds to the Lambda layer version.
 # E.g.,, version 0.5.0 gets packaged into layer version 5.
-__version__ = "2.14.0"
+__version__ = "2.15.0"
 
 
 import os

setup.py

@@ -30,7 +30,7 @@
     install_requires=[
         "aws-xray-sdk==2.4.3",
         "datadog==0.32.0",
-        "ddtrace==0.31.0",
+        "ddtrace==0.36.0",
         "wrapt==1.11.2",
         "setuptools==42.0.2",
     ],