rithikanarayan · Nov 10, 2026 · Nov 13, 2026 · Nov 13, 2026 · Nov 13, 2026
@@ -43,7 +43,7 @@ jobs:
     strategy:
       max-parallel: 4
       matrix:
-        python-version: ['3.8', '3.9', '3.10', '3.11', '3.12', '3.13', '3.14']
+        python-version: ['3.8', '3.9', '3.10', '3.11', '3.12', '3.13', '3.14', '3.15']
 
     steps:
       - name: Checkout

@@ -15,7 +15,7 @@ jobs:
       fail-fast: false
       matrix:
         arch: [arm64, amd64]
-        python_version: ["3.9", "3.10", "3.11", "3.12", "3.13", "3.14"]
+        python_version: ["3.9", "3.10", "3.11", "3.12", "3.13", "3.14", "3.15"]
 
     steps:
       - name: Checkout

@@ -7,7 +7,9 @@ ARG runtime
 RUN mkdir -p /build/python/lib/$runtime/site-packages
 WORKDIR /build
 
-# Install newer version of GCC on AL2
+# AL2 SAM images (Python <= 3.11) ship GCC 7, which is too old to build ddtrace.
+# AL2023 SAM images already include GCC, find, and strip. The Lambda Python 3.15
+# preview image does not, so install that toolchain with dnf.
 RUN set -eux; \
     if command -v yum >/dev/null 2>&1; then \
       yum -y install git gcc10 gcc10-c++; \
@@ -16,6 +18,9 @@ RUN set -eux; \
       rm g++ && ln -s gcc10-g++ g++; \
       rm cc && ln -s gcc10-cc cc; \
       rm c++ && ln -s gcc10-c++ c++; \
+    elif ! command -v gcc >/dev/null 2>&1 || ! command -v strip >/dev/null 2>&1 || ! command -v find >/dev/null 2>&1; then \
+      dnf install -y gcc gcc-c++ make binutils findutils git; \
+      dnf clean all; \
     fi
 
 # Add Rust compiler which is needed to build dd-trace-py from source

@@ -6,7 +6,7 @@
 [![Slack](https://chat.datadoghq.com/badge.svg?bg=632CA6)](https://chat.datadoghq.com/)
 [![License](https://img.shields.io/badge/license-Apache--2.0-blue)](https://github.com/DataDog/datadog-lambda-python/blob/main/LICENSE)
 
-Datadog Lambda Library for Python (3.8, 3.9, 3.10, 3.11, 3.12, 3.13, and 3.14) enables [enhanced Lambda metrics](https://docs.datadoghq.com/serverless/enhanced_lambda_metrics), [distributed tracing](https://docs.datadoghq.com/serverless/distributed_tracing), and [custom metric submission](https://docs.datadoghq.com/serverless/custom_metrics) from AWS Lambda functions.
+Datadog Lambda Library for Python (3.8, 3.9, 3.10, 3.11, 3.12, 3.13, and 3.14, 3.15) enables [enhanced Lambda metrics](https://docs.datadoghq.com/serverless/enhanced_lambda_metrics), [distributed tracing](https://docs.datadoghq.com/serverless/distributed_tracing), and [custom metric submission](https://docs.datadoghq.com/serverless/custom_metrics) from AWS Lambda functions.
 
 ## Installation
 

@@ -55,3 +55,11 @@ runtimes:
     python_version: "3.14"
     arch: "arm64"
     image: "3.14.0"
+  - name: "python315"
+    python_version: "3.15"
+    arch: "amd64"
+    image: "3.15.0"
+  - name: "python315"
+    python_version: "3.15"
+    arch: "arm64"
+    image: "3.15.0"
@@ -25,6 +25,8 @@ AWS_CLI_PYTHON_VERSIONS=(
     "python3.13"
     "python3.14"
     "python3.14"
+    "python3.15"
+    "python3.15"
 )
 PYTHON_VERSIONS=(
     "3.8-amd64"
@@ -41,6 +43,8 @@ PYTHON_VERSIONS=(
     "3.13-arm64"
     "3.14-amd64"
     "3.14-arm64"
+    "3.15-amd64"
+    "3.15-arm64"
 )
 LAYER_PATHS=(
     ".layers/datadog_lambda_py-amd64-3.8.zip"
@@ -57,6 +61,8 @@ LAYER_PATHS=(
     ".layers/datadog_lambda_py-arm64-3.13.zip"
     ".layers/datadog_lambda_py-amd64-3.14.zip"
     ".layers/datadog_lambda_py-arm64-3.14.zip"
+    ".layers/datadog_lambda_py-amd64-3.15.zip"
+    ".layers/datadog_lambda_py-arm64-3.15.zip"
 )
 LAYERS=(
     "Datadog-Python38"
@@ -72,7 +78,9 @@ LAYERS=(
     "Datadog-Python313"
     "Datadog-Python313-ARM"
     "Datadog-Python314"
-    "Datadog-Python314-ARM"
+    "Datadog-Python314-ARM" 
+    "Datadog-Python315"
+    "Datadog-Python315-ARM"
 )
 STAGES=('prod', 'sandbox', 'staging', 'gov-staging', 'gov-prod')
 

@@ -23,10 +23,11 @@ classifiers = [
     "Programming Language :: Python :: 3.12",
     "Programming Language :: Python :: 3.13",
     "Programming Language :: Python :: 3.14",
+    "Programming Language :: Python :: 3.15",
 ]
 
 [tool.poetry.dependencies]
-python = ">=3.8.0,<3.15"
+python = ">=3.8.0,<3.16"
 datadog = ">=0.51.0,<1.0.0"
 wrapt = ">=1.11.2,!=2.2.0,<3"
 ddtrace = [

@@ -27,6 +27,8 @@ LAYER_NAMES=(
     "Datadog-Python313-ARM"
     "Datadog-Python314"
     "Datadog-Python314-ARM"
+    "Datadog-Python315"
+    "Datadog-Python315-ARM"
 )
 PYTHON_VERSIONS_FOR_AWS_CLI=(
     "python3.8"
@@ -43,6 +45,8 @@ PYTHON_VERSIONS_FOR_AWS_CLI=(
     "python3.13"
     "python3.14"
     "python3.14"
+    "python3.15"
+    "python3.15"
 )
 NEW_REGION=$1
 

@@ -35,7 +35,7 @@ set -e
 
 LAYER_DIR=".layers"
 LAYER_FILES_PREFIX="datadog_lambda_py"
-AVAILABLE_PYTHON_VERSIONS=("3.8" "3.9" "3.10" "3.11" "3.12" "3.13" "3.14")
+AVAILABLE_PYTHON_VERSIONS=("3.8" "3.9" "3.10" "3.11" "3.12" "3.13" "3.14" "3.15")
 AVAILABLE_ARCHS=("arm64" "amd64")
 
 if [ -n "$ARCH" ]; then
@@ -103,11 +103,19 @@ function docker_build_zip {
 
     destination=$(make_path_absolute $2)
     arch=$3
+    # Python 3.15 is a Lambda preview runtime. AWS has not published
+    # public.ecr.aws/sam/build-python3.15, so use the preview base image.
+    # The Dockerfile installs the compiler toolchain that image is missing.
+    if [ "$1" = "3.15" ]; then
+        image="public.ecr.aws/lambda/python:3.15-preview"
+    else
+        image="public.ecr.aws/sam/build-python$1:1"
+    fi
     # Install datadogpy in a docker container to avoid the mess from switching
     # between different python runtimes.
     temp_dir=$(mktemp -d)
     docker buildx build -t datadog-lambda-python-${arch}:$1 . --no-cache \
-        --build-arg image=public.ecr.aws/sam/build-python$1:1 \
+        --build-arg image="${image}" \
         --build-arg runtime=python$1 \
         --platform linux/${arch} \
         --progress=plain \

@@ -25,6 +25,8 @@ LAYER_NAMES=(
     "Datadog-Python313-ARM"
     "Datadog-Python314"
     "Datadog-Python314-ARM"
+    "Datadog-Python315"
+    "Datadog-Python315-ARM"
 )
 AVAILABLE_REGIONS=$(aws ec2 describe-regions | jq -r '.[] | .[] | .RegionName')
 LAYERS_MISSING_REGIONS=()

@@ -96,7 +96,7 @@ do
 
     export REGION=$region
 
-    for python_version in "3.8" "3.9" "3.10" "3.11" "3.12" "3.13" "3.14"; do
+    for python_version in "3.8" "3.9" "3.10" "3.11" "3.12" "3.13" "3.14" "3.15"; do
         for arch in "amd64" "arm64"; do
             export PYTHON_VERSION=$python_version
             export ARCH=$arch

@@ -28,6 +28,8 @@ PYTHON_VERSIONS_FOR_AWS_CLI=(
     "python3.13"
     "python3.14"
     "python3.14"
+    "python3.15"
+    "python3.15"
 )
 LAYER_PATHS=(
     ".layers/datadog_lambda_py-amd64-3.8.zip"
@@ -44,6 +46,8 @@ LAYER_PATHS=(
     ".layers/datadog_lambda_py-arm64-3.13.zip"
     ".layers/datadog_lambda_py-amd64-3.14.zip"
     ".layers/datadog_lambda_py-arm64-3.14.zip"
+    ".layers/datadog_lambda_py-amd64-3.15.zip"
+    ".layers/datadog_lambda_py-arm64-3.15.zip"
 )
 AVAILABLE_LAYERS=(
     "Datadog-Python38"
@@ -59,7 +63,9 @@ AVAILABLE_LAYERS=(
     "Datadog-Python313"
     "Datadog-Python313-ARM"
     "Datadog-Python314"
-    "Datadog-Python314-ARM"
+    "Datadog-Python314-ARM" 
+    "Datadog-Python315"
+    "Datadog-Python315-ARM"
 )
 AVAILABLE_REGIONS=$(aws ec2 describe-regions | jq -r '.[] | .[] | .RegionName')
 

@@ -34,8 +34,9 @@ python311=("python3.11" "3.11" $(xxd -l 4 -c 4 -p < /dev/random))
 python312=("python3.12" "3.12" $(xxd -l 4 -c 4 -p < /dev/random))
 python313=("python3.13" "3.13" $(xxd -l 4 -c 4 -p < /dev/random))
 python314=("python3.14" "3.14" $(xxd -l 4 -c 4 -p < /dev/random))
+python315=("python3.15" "3.15" $(xxd -l 4 -c 4 -p < /dev/random))
 
-PARAMETERS_SETS=("python38" "python39" "python310" "python311" "python312" "python313" "python314")
+PARAMETERS_SETS=("python38" "python39" "python310" "python311" "python312" "python313" "python314" "python315")
 
 if [ -z "$RUNTIME_PARAM" ]; then
     echo "Python version not specified, running for all python versions."
@@ -255,7 +256,9 @@ for handler_name in "${LAMBDA_HANDLERS[@]}"; do
                 # Parse out account ID in ARN
                 sed -E "s/([a-zA-Z0-9]+):([a-zA-Z0-9]+):([a-zA-Z0-9]+):([a-zA-Z0-9\-]+):([a-zA-Z0-9\-\:]+)/\1:\2:\3:\4:XXXX:\4/g" |
                 sed -E "/init complete at epoch/d" |
-                sed -E "/main started at epoch/d"
+                sed -E "/main started at epoch/d" |
+                # Lambda preview runtimes log the TLS profile name, which is not stable across invocations
+                sed '/\[tls-profile\]/d'
         )
 
         if [ ! -f $function_snapshot_path ]; then

@@ -8,7 +8,7 @@
 # Run unit tests in Docker
 set -e
 
-PYTHON_VERSIONS=("3.8" "3.9" "3.10" "3.11" "3.12" "3.13" "3.14")
+PYTHON_VERSIONS=("3.8" "3.9" "3.10" "3.11" "3.12" "3.13" "3.14" "3.15")
 
 for python_version in "${PYTHON_VERSIONS[@]}"
 do

@@ -23,6 +23,8 @@ LAYER_FILES=(
     "datadog_lambda_py-arm64-3.13.zip"
     "datadog_lambda_py-amd64-3.14.zip"
     "datadog_lambda_py-arm64-3.14.zip"
+    "datadog_lambda_py-amd64-3.15.zip"
+    "datadog_lambda_py-arm64-3.15.zip"
 )
 SIGNING_PROFILE_NAME="DatadogLambdaSigningProfile"