chore(deps): update dependency aws-sdk to v2.368.0

[renovate]

This PR contains the following updates:

Package	Type	Update	Change	References
aws-sdk	devDependencies	minor	2.362.0 -> 2.368.0	source

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Release Notes

aws/aws-sdk-js

v2.368.0

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• bugfix: md5: enable SDK to calculate content MD5 for more new S3 operations
• feature: S3: Fixed issue with Content-MD5 for S3 PutObjectLegalHold, PutObjectRetention and PutObjectLockConfiguration.

v2.367.0

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• feature: CloudWatchEvents: Support for Managed Rules (rules that are created and maintained by the AWS services in your account) is added.
• feature: ELBv2: This release allows Application Load Balancers to route traffic to Lambda functions, in addition to instances and IP addresses.
• feature: Kafka: This is the initial SDK release for Amazon Managed Streaming for Kafka (Amazon MSK). Amazon MSK is a service that you can use to easily build, monitor, and manage Apache Kafka clusters in the cloud.
• feature: Lambda: AWS Lambda now supports Lambda Layers and Ruby as a runtime. Lambda Layers are a new type of artifact that contains arbitrary code and data, and may be referenced by zero, one, or more functions at the same time. You can also now develop your AWS Lambda function code using the Ruby programming language.
• feature: S3: Fixed issue with ObjectLockRetainUntilDate in S3 PutObject
• feature: ServerlessApplicationRepository: AWS Serverless Application Repository now supports nested applications. You can nest individual applications as components of a larger application to make it easy to assemble and deploy new serverless architectures.
• feature: StepFunctions: AWS Step Functions is now integrated with eight additional AWS services: Amazon ECS, AWS Fargate, Amazon DynamoDB, Amazon SNS, Amazon SQS, AWS Batch, AWS Glue, and Amazon SageMaker. To learn more, please see https://docs.aws.amazon.com/step-functions/index.html
• feature: XRay: GetTraceSummaries - Now provides additional information regarding your application traces such as Availability Zone, Instance ID, Resource ARN details, Revision, Entry Point, Root Cause Exceptions and Root Causes for Fault, Error and Response Time.

v2.366.0

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• feature: AppMesh: AWS App Mesh is a service mesh that makes it easy to monitor and control communications between microservices of an application. AWS App Mesh APIs are available for preview in eu-west-1, us-east-1, us-east-2, and us-west-2 regions.
• feature: EC2: Adds the following updates: 1. You can now hibernate and resume Amazon-EBS backed instances using the StopInstances and StartInstances APIs. For more information about using this feature and supported instance types and operating systems, visit the user guide. 2. Amazon Elastic Inference accelerators are resources that you can attach to current generation EC2 instances to accelerate your deep learning inference workloads. With Amazon Elastic Inference, you can configure the right amount of inference acceleration to your deep learning application without being constrained by fixed hardware configurations and limited GPU selection. 3. AWS License Manager makes it easier to manage licenses in AWS and on premises when customers run applications using existing licenses from a variety of software vendors including Microsoft, SAP, Oracle, and IBM.
• feature: LicenseManager: AWS License Manager makes it easier to manage licenses in AWS and on premises when customers run applications using existing licenses from a variety of software vendors including Microsoft, SAP, Oracle, and IBM. AWS License Manager automatically tracks and controls license usage once administrators have created and enforced rules that emulate the terms of their licensing agreements. The capabilities of AWS License Manager are available through SDK and Tools, besides the management console and CLI.
• feature: Lightsail: This update adds the following features: 1. Copy instance and disk snapshots within the same AWS Region or from one region to another in Amazon Lightsail. 2. Export Lightsail instance and disk snapshots to Amazon Elastic Compute Cloud (Amazon EC2). 3. Create an Amazon EC2 instance from an exported Lightsail instance snapshot using AWS CloudFormation stacks. 4. Apply tags to filter your Lightsail resources, or organize your costs, or control access.
• feature: SageMaker: Amazon SageMaker now has Algorithm and Model Package entities that can be used to create Training Jobs, Hyperparameter Tuning Jobs and hosted Models. Subscribed Marketplace products can be used on SageMaker to create Training Jobs, Hyperparameter Tuning Jobs and Models. Notebook Instances and Endpoints can leverage Elastic Inference accelerator types for on-demand GPU computing. Model optimizations can be performed with Compilation Jobs. Labeling Jobs can be created and supported by a Workforce. Models can now contain up to 5 containers allowing for inference pipelines within Endpoints. Code Repositories (such as Git) can be linked with SageMaker and loaded into Notebook Instances. Network isolation is now possible on Models, Training Jobs, and Hyperparameter Tuning Jobs, which restricts inbound/outbound network calls for the container. However, containers can talk to their peers in distributed training mode within the same security group. A Public Beta Search API was added that currently supports Training Jobs.
• feature: ServiceDiscovery: AWS Cloud Map lets you define friendly names for your cloud resources so that your applications can quickly and dynamically discover them. When a resource becomes available (for example, an Amazon EC2 instance running a web server), you can register a Cloud Map service instance. Then your application can discover service instances by submitting DNS queries or API calls.

v2.365.0

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• feature: DynamoDB: Amazon DynamoDB now supports the following features: DynamoDB on-demand and transactions. DynamoDB on-demand is a flexible new billing option for DynamoDB capable of serving thousands of requests per second without capacity planning. DynamoDB on-demand offers simple pay-per-request pricing for read and write requests so that you only pay for what you use, making it easy to balance costs and performance. Transactions simplify the developer experience of making coordinated, all-or-nothing changes to multiple items both within and across tables. The new transactional APIs provide atomicity, consistency, isolation, and durability (ACID) in DynamoDB, helping developers support sophisticated workflows and business logic that requires adding, updating, or deleting multiple items using native, server-side transactions. For more information, see the Amazon DynamoDB Developer Guide.
• feature: FSx: Amazon FSx provides fully-managed third-party file systems optimized for a variety of enterprise and compute-intensive workloads.
• feature: RDS: Amazon Aurora Global Database. This release introduces support for Global Database, a feature that allows a single Amazon Aurora database to span multiple AWS regions. Customers can use the feature to replicate data with no impact on database performance, enable fast local reads with low latency in each region, and improve disaster recovery from region-wide outages. You can create, modify and describe an Aurora Global Database, as well as add or remove regions from your Global Database.
• feature: SecurityHub: AWS Security Hub is a security and compliance center that correlates AWS security findings and performs automated compliance checks

v2.364.0

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• feature: CloudWatchLogs: Six new APIs added to support CloudWatch Logs Insights. The APIs are StartQuery, StopQuery, GetQueryResults, GetLogRecord, GetLogGroupFields, and DescribeQueries.
• feature: CodeDeploy: Support for Amazon ECS service deployment - AWS CodeDeploy now supports the deployment of Amazon ECS services. An Amazon ECS deployment uses an Elastic Load Balancer, two Amazon ECS target groups, and a listener to reroute production traffic from your Amazon ECS service's original task set to a new replacement task set. The original task set is terminated when the deployment is complete. Success of a deployment can be validated using Lambda functions that are referenced by the deployment. This provides the opportunity to rollback if necessary. You can use the new ECSService, ECSTarget, and ECSTaskSet data types in the updated SDK to create or retrieve an Amazon ECS deployment.
• feature: ComprehendMedical: The first release of Comprehend Medical includes two APIs, detectPHI and detectEntities. DetectPHI extracts PHI from your clinical text, and detectEntities extracts entities such as medication, medical conditions, or anatomy. DetectEntities also extracts attributes (e.g. dosage for medication) and identifies contextual traits (e.g. negation) for each entity.
• feature: EC2: With VPC sharing, you can now allow multiple accounts in the same AWS Organization to launch their application resources, like EC2 instances, RDS databases, and Redshift clusters into shared, centrally managed VPCs.
• feature: ECS: This release of Amazon Elastic Container Service (Amazon ECS) introduces support for blue/green deployment feature. Customers can now update their ECS services in a blue/green deployment pattern via using AWS CodeDeploy.
• feature: KinesisAnalytics: Improvements to error messages, validations, and more to the Kinesis Data Analytics APIs.
• feature: KinesisAnalyticsV2: Amazon Kinesis Data Analytics now supports Java-based stream processing applications, in addition to the previously supported SQL. Now, you can use your own Java code in Amazon Kinesis Data Analytics to build and run stream processing applications. This new capability also comes with an update to the previous Amazon Kinesis Data Analytics APIs to enable support for different runtime environments and more.
• feature: MarketplaceMetering: RegisterUsage operation added to AWS Marketplace Metering Service, allowing sellers to meter and entitle Docker container software use with AWS Marketplace. For details on integrating Docker containers with RegisterUsage see: https://docs.aws.amazon.com/marketplace/latest/userguide/entitlement-and-metering-for-paid-products.html
• feature: MediaConnect: This is the initial release for AWS Elemental MediaConnect, an ingest and transport service for live video. This new AWS service allows broadcasters and content owners to send high-value live content into the cloud, securely transmit it to partners for distribution, and replicate it to multiple destinations around the globe.
• feature: Translate: This release includes the new custom terminology feature. Using custom terminology with your translation requests enables you to make sure that your brand names, character names, model names, and other unique content is translated exactly the way you need it, regardless of its context and the Amazon Translate algorithm's decision. See the documentation for more information.

v2.363.0

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• feature: EC2: Adds the following updates: 1. Transit Gateway helps easily scale connectivity across thousands of Amazon VPCs, AWS accounts, and on-premises networks. 2. Amazon EC2 A1 instance is a new Arm architecture based general purpose instance. 3. You can now launch the new Amazon EC2 compute optimized C5n instances that can utilize up to 100 Gbps of network bandwidth.
• feature: GlobalAccelerator: AWS Global Accelerator is a network layer service that helps you improve the availability and performance of the applications that you offer to your global customers. Global Accelerator uses the AWS global network to direct internet traffic from your users to your applications running in AWS Regions. Global Accelerator creates a fixed entry point for your applications through static anycast IP addresses, and routes user traffic to the optimal endpoint based on performance, application health and routing policies that you can configure. Global Accelerator supports the following features at launch: static anycast IP addresses, support for TCP and UDP, support for Network Load Balancers, Application Load Balancers and Elastic-IP address endpoints, continuous health checking, instant regional failover, fault isolating Network Zones, granular traffic controls, and client affinity.
• feature: Greengrass: Support Greengrass Connectors and allow Lambda functions to run without Greengrass containers.
• feature: IoTAnalytics: Added an optional list of dataset content delivery configuration for CreateDataset and UpdateDataset. DescribeDataset will now include the list of delivery configuration, and will be an empty array if none exist.
• feature: Iot: As part of this release, we are extending capability of AWS IoT Rules Engine to support IoT Events rule action. The IoT Events rule action lets you send messages from IoT sensors and applications to IoT Events for pattern recognition and event detection.
• feature: KMS: AWS Key Management Service (KMS) now enables customers to create and manage dedicated, single-tenant key stores in addition to the default KMS key store. These are known as custom key stores and are deployed using AWS CloudHSM clusters. Keys that are created in a KMS custom key store can be used like any other customer master key in KMS.
• feature: S3: Four new Amazon S3 Glacier features help you reduce your storage costs by making it even easier to build archival applications using the Amazon S3 Glacier storage class. S3 Object Lock enables customers to apply Write Once Read Many (WORM) protection to objects in S3 in order to prevent object deletion for a customer-defined retention period. S3 Inventory now supports fields for reporting on S3 Object Lock. "ObjectLockRetainUntilDate", "ObjectLockMode", and "ObjectLockLegalHoldStatus" are now available as valid optional fields.
• feature: SMS: In this release, AWS Server Migration Service (SMS) has added multi-server migration support to simplify the application migration process. Customers can migrate all their application-specific servers together as a single unit as opposed to moving individual server one at a time. The new functionality includes - 1. Ability to group on-premises servers into applications and application tiers. 2. Auto-generated CloudFormation Template and Stacks for launching migrated servers into EC2. 3. Ability to run post-launch configuration scripts to configure servers and applications in EC2. In order for SMS to launch servers into your AWS account using CloudFormation Templates, we have also updated the ServerMigrationServiceRole IAM policy to include appropriate permissions. Refer to Server Migration Service documentation for more details.

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