Updates SDK to v2.806.0

Author: awstools

.changes/2.806.0.json

@@ -0,0 +1,52 @@
+[
+    {
+        "type": "feature",
+        "category": "AuditManager",
+        "description": "AWS Audit Manager helps you continuously audit your AWS usage to simplify how you manage risk and compliance. This update releases the first version of the AWS Audit Manager APIs and SDK."
+    },
+    {
+        "type": "feature",
+        "category": "ECR",
+        "description": "This release adds support for configuring cross-region and cross-account replication of your Amazon ECR images."
+    },
+    {
+        "type": "feature",
+        "category": "EMRcontainers",
+        "description": "This release adds support for Amazon EMR on EKS, a simple way to run Spark on Kubernetes."
+    },
+    {
+        "type": "feature",
+        "category": "ForecastService",
+        "description": "This release adds support for the Amazon Forecast Weather Index which can increase forecasting accuracy by automatically including weather forecasts in demand forecasts."
+    },
+    {
+        "type": "feature",
+        "category": "HealthLake",
+        "description": "This release introduces Amazon HealthLake (preview), a HIPAA-eligible service that enables healthcare and life sciences customers to store, transform, query, and analyze health data in the AWS Cloud."
+    },
+    {
+        "type": "feature",
+        "category": "Kendra",
+        "description": "1. Amazon Kendra connector for Google Drive repositories 2. Amazon Kendra's relevance ranking models are regularly tuned for each customer by capturing end-user search patterns and feedback."
+    },
+    {
+        "type": "feature",
+        "category": "QuickSight",
+        "description": "Added new parameters for join optimization."
+    },
+    {
+        "type": "feature",
+        "category": "SageMaker",
+        "description": "This feature helps you monitor model performance characteristics such as accuracy, identify undesired bias in your ML models, and explain model decisions better with explainability drift detection."
+    },
+    {
+        "type": "feature",
+        "category": "SageMakerRuntime",
+        "description": "This feature allows customers to invoke their endpoint with an inference ID. If used and data capture for the endpoint is enabled, this ID will be captured along with request data."
+    },
+    {
+        "type": "feature",
+        "category": "SagemakerEdge",
+        "description": "Amazon SageMaker Edge Manager makes it easy to optimize, secure, monitor, and maintain  machine learning (ML) models across fleets of edge devices such as smart cameras, smart speakers, and robots."
+    }
+]

CHANGELOG.md

@@ -1,7 +1,19 @@
 # Changelog for AWS SDK for JavaScript
-<!--LATEST=2.805.0-->
+<!--LATEST=2.806.0-->
 <!--ENTRYINSERT-->
 
+## 2.806.0
+* feature: AuditManager: AWS Audit Manager helps you continuously audit your AWS usage to simplify how you manage risk and compliance. This update releases the first version of the AWS Audit Manager APIs and SDK.
+* feature: ECR: This release adds support for configuring cross-region and cross-account replication of your Amazon ECR images.
+* feature: EMRcontainers: This release adds support for Amazon EMR on EKS, a simple way to run Spark on Kubernetes.
+* feature: ForecastService: This release adds support for the Amazon Forecast Weather Index which can increase forecasting accuracy by automatically including weather forecasts in demand forecasts.
+* feature: HealthLake: This release introduces Amazon HealthLake (preview), a HIPAA-eligible service that enables healthcare and life sciences customers to store, transform, query, and analyze health data in the AWS Cloud.
+* feature: Kendra: 1. Amazon Kendra connector for Google Drive repositories 2. Amazon Kendra's relevance ranking models are regularly tuned for each customer by capturing end-user search patterns and feedback.
+* feature: QuickSight: Added new parameters for join optimization.
+* feature: SageMaker: This feature helps you monitor model performance characteristics such as accuracy, identify undesired bias in your ML models, and explain model decisions better with explainability drift detection.
+* feature: SageMakerRuntime: This feature allows customers to invoke their endpoint with an inference ID. If used and data capture for the endpoint is enabled, this ID will be captured along with request data.
+* feature: SagemakerEdge: Amazon SageMaker Edge Manager makes it easy to optimize, secure, monitor, and maintain  machine learning (ML) models across fleets of edge devices such as smart cameras, smart speakers, and robots.
+
 ## 2.805.0
 * bugfix: S3: fixed a bug where createPresignedPost could result in a process crash.
 * feature: DMS: Added PreserveTransaction setting to preserve order of CDC for S3 as target. Added CsvNoSupValue setting to replace empty value for columns not included in the supplemental log for S3 as target.

README.md

@@ -25,7 +25,7 @@ version.
 To use the SDK in the browser, simply add the following script tag to your
 HTML pages:
 
-    <script src="https://sdk.amazonaws.com/js/aws-sdk-2.805.0.min.js"></script>
+    <script src="https://sdk.amazonaws.com/js/aws-sdk-2.806.0.min.js"></script>
 
 You can also build a custom browser SDK with your specified set of AWS services.
 This can allow you to reduce the SDK's size, specify different API versions of

apis/auditmanager-2017-07-25.examples.json

@@ -0,0 +1,5 @@
+{
+  "version": "1.0",
+  "examples": {
+  }
+}