Release 2022-11-03

Author: AWS SDK for Go v2 automation user

.changelog/12cbf7cc6d1848eaa8c9ac944aa01472.json

@@ -1,3 +1,11 @@
+# Release (2022-11-03)
+
+## Module Highlights
+* `github.com/aws/aws-sdk-go-v2/service/memorydb`: [v1.10.0](service/memorydb/CHANGELOG.md#v1100-2022-11-03)
+  * **Feature**: Adding support for r6gd instances for MemoryDB Redis with data tiering. In a cluster with data tiering enabled, when available memory capacity is exhausted, the least recently used data is automatically tiered to solid state drives for cost-effective capacity scaling with minimal performance impact.
+* `github.com/aws/aws-sdk-go-v2/service/sagemaker`: [v1.54.0](service/sagemaker/CHANGELOG.md#v1540-2022-11-03)
+  * **Feature**: Amazon SageMaker now supports running training jobs on ml.trn1 instance types.
+
 # Release (2022-11-02)
 
 ## Module Highlights

.changelog/64e0048b65fe4c308b8265495da06cb4.json

@@ -1,3 +1,7 @@
+# v1.10.0 (2022-11-03)
+
+* **Feature**: Adding support for r6gd instances for MemoryDB Redis with data tiering. In a cluster with data tiering enabled, when available memory capacity is exhausted, the least recently used data is automatically tiered to solid state drives for cost-effective capacity scaling with minimal performance impact.
+
 # v1.9.20 (2022-10-24)
 
 * **Dependency Update**: Updated to the latest SDK module versions

CHANGELOG.md

@@ -1,3 +1,7 @@
+# v1.54.0 (2022-11-03)
+
+* **Feature**: Amazon SageMaker now supports running training jobs on ml.trn1 instance types.
+
 # v1.53.0 (2022-11-02)
 
 * **Feature**: This release updates Framework model regex for ModelPackage to support new Framework version xgboost, sklearn.