Update dependency boto3 to v1.23.10
This MR contains the following updates:
| Package | Type | Update | Change |
|---|---|---|---|
| boto3 | ironbank-pypi | patch |
1.23.8 -> 1.23.10
|
Release Notes
boto/boto3
v1.23.10
=======
- api-change:
sagemaker: [botocore] Amazon SageMaker Notebook Instances now allows configuration of Instance Metadata Service version and Amazon SageMaker Studio now supports G5 instance types. - api-change:
appflow: [botocore] Adding the following features/changes: Parquet output that preserves typing from the source connector, Failed executions threshold before deactivation for scheduled flows, increasing max size of access and refresh token from 2048 to 4096 - api-change:
datasync: [botocore] AWS DataSync now supports TLS encryption in transit, file system policies and access points for EFS locations. - api-change:
emr-serverless: [botocore] This release adds support for Amazon EMR Serverless, a serverless runtime environment that simplifies running analytics applications using the latest open source frameworks such as Apache Spark and Apache Hive.
v1.23.9
======
- api-change:
lightsail: [botocore] Amazon Lightsail now supports the ability to configure a Lightsail Container Service to pull images from Amazon ECR private repositories in your account. - api-change:
emr-serverless: [botocore] This release adds support for Amazon EMR Serverless, a serverless runtime environment that simplifies running analytics applications using the latest open source frameworks such as Apache Spark and Apache Hive. - api-change:
ec2: [botocore] C7g instances, powered by the latest generation AWS Graviton3 processors, provide the best price performance in Amazon EC2 for compute-intensive workloads. - api-change:
forecast: [botocore] Introduced a new field in Auto Predictor as Time Alignment Boundary. It helps in aligning the timestamps generated during Forecast exports
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