Bumping version to 1.33.3

.changes/1.33.3.json

@@ -0,0 +1,47 @@
+[
+  {
+    "category": "``application-autoscaling``",
+    "description": "Amazon SageMaker customers can now use Application Auto Scaling to automatically scale the number of Inference Component copies across an endpoint to meet the varying demand of their workloads.",
+    "type": "api-change"
+  },
+  {
+    "category": "``cleanrooms``",
+    "description": "AWS Clean Rooms now provides differential privacy to protect against user-identification attempts and machine learning modeling to allow two parties to identify similar users in their data.",
+    "type": "api-change"
+  },
+  {
+    "category": "``cleanroomsml``",
+    "description": "Public Preview SDK release of AWS Clean Rooms ML APIs",
+    "type": "api-change"
+  },
+  {
+    "category": "``opensearch``",
+    "description": "Launching Amazon OpenSearch Service support for new zero-ETL integration with Amazon S3. Customers can now manage their direct query data sources to Amazon S3 programatically",
+    "type": "api-change"
+  },
+  {
+    "category": "``opensearchserverless``",
+    "description": "Amazon OpenSearch Serverless collections support an additional attribute called standby-replicas. This allows to specify whether a collection should have redundancy enabled.",
+    "type": "api-change"
+  },
+  {
+    "category": "``sagemaker-runtime``",
+    "description": "Update sagemaker-runtime client to latest version",
+    "type": "api-change"
+  },
+  {
+    "category": "``sagemaker``",
+    "description": "This release adds following support 1/ Improved SDK tooling for model deployment. 2/ New Inference Component based features to lower inference costs and latency 3/ SageMaker HyperPod management. 4/ Additional parameters for FM Fine Tuning in Autopilot",
+    "type": "api-change"
+  },
+  {
+    "category": "``sts``",
+    "description": "Documentation updates for AWS Security Token Service.",
+    "type": "api-change"
+  },
+  {
+    "category": "``endpoint-rules``",
+    "description": "Update endpoint-rules client to latest version",
+    "type": "api-change"
+  }
+]

CHANGELOG.rst

@@ -2,6 +2,20 @@
 CHANGELOG
 =========
 
+1.33.3
+======
+
+* api-change:``application-autoscaling``: Amazon SageMaker customers can now use Application Auto Scaling to automatically scale the number of Inference Component copies across an endpoint to meet the varying demand of their workloads.
+* api-change:``cleanrooms``: AWS Clean Rooms now provides differential privacy to protect against user-identification attempts and machine learning modeling to allow two parties to identify similar users in their data.
+* api-change:``cleanroomsml``: Public Preview SDK release of AWS Clean Rooms ML APIs
+* api-change:``opensearch``: Launching Amazon OpenSearch Service support for new zero-ETL integration with Amazon S3. Customers can now manage their direct query data sources to Amazon S3 programatically
+* api-change:``opensearchserverless``: Amazon OpenSearch Serverless collections support an additional attribute called standby-replicas. This allows to specify whether a collection should have redundancy enabled.
+* api-change:``sagemaker-runtime``: Update sagemaker-runtime client to latest version
+* api-change:``sagemaker``: This release adds following support 1/ Improved SDK tooling for model deployment. 2/ New Inference Component based features to lower inference costs and latency 3/ SageMaker HyperPod management. 4/ Additional parameters for FM Fine Tuning in Autopilot
+* api-change:``sts``: Documentation updates for AWS Security Token Service.
+* api-change:``endpoint-rules``: Update endpoint-rules client to latest version
+
+
 1.33.2
 ======
 

botocore/__init__.py

@@ -16,7 +16,7 @@
 import os
 import re
 
-__version__ = '1.33.2'
+__version__ = '1.33.3'
 
 
 class NullHandler(logging.Handler):

docs/source/conf.py

@@ -59,7 +59,7 @@
 # The short X.Y version.
 version = '1.33'
 # The full version, including alpha/beta/rc tags.
-release = '1.33.2'
+release = '1.33.3'
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.