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awstools
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,77 @@ | ||
| [ | ||
| { | ||
| "type": "feature", | ||
| "category": "AugmentedAIRuntime", | ||
| "description": "This release adds support for Amazon Augmented AI, which makes it easy to build workflows for human review of machine learning predictions." | ||
| }, | ||
| { | ||
| "type": "feature", | ||
| "category": "Bucket", | ||
| "description": "Add support for S3 access point. Access Points provide a customizable way to access the objects in a bucket, with a unique hostname and access policy that enforces the specific permissions and network controls for any request made through the access point." | ||
| }, | ||
| { | ||
| "type": "feature", | ||
| "category": "CodeGuruProfiler", | ||
| "description": "(New Service) Amazon CodeGuru Profiler analyzes application CPU utilization and latency characteristics to show you where you are spending the most cycles in your application. This analysis is presented in an interactive flame graph that helps you easily understand which paths consume the most resources, verify that your application is performing as expected, and uncover areas that can be optimized further." | ||
| }, | ||
| { | ||
| "type": "feature", | ||
| "category": "CodeGuruReviewer", | ||
| "description": "This is the preview release of Amazon CodeGuru Reviewer." | ||
| }, | ||
| { | ||
| "type": "feature", | ||
| "category": "ComputeOptimizer", | ||
| "description": "Initial release of AWS Compute Optimizer. AWS Compute Optimizer recommends optimal AWS Compute resources to reduce costs and improve performance for your workloads." | ||
| }, | ||
| { | ||
| "type": "feature", | ||
| "category": "EC2", | ||
| "description": "This release adds support for the following features: 1. An option to enable acceleration for Site-to-Site VPN connections, to improve connection performance by leveraging AWS Global Accelerator; 2. Inf1 instances featuring up to 16 AWS Inferentia chips, custom-built for ML inference applications to deliver low latency and high throughput performance. Use Inf1 instances to run high scale ML inference applications such as image recognition, speech recognition, natural language processing, personalization, and fraud detection at the lowest cost in the cloud. Inf1 instances will soon be available for use with Amazon SageMaker, Amazon EKS and Amazon ECS. To get started, see https://aws.amazon.com/ec2/instance-types/Inf1; 3. The ability to associate route tables with internet gateways and virtual private gateways, and define routes to insert network and security virtual appliances in the path of inbound and outbound traffic. For more information on Amazon VPC Ingress Routing, see https://docs.aws.amazon.com/vpc/latest/userguide/VPC_Route_Tables.html#gateway-route-table; 4. AWS Local Zones that place compute, storage, database, and other select services closer to you for applications that require very low latency to your end-users. AWS Local Zones also allow you to seamlessly connect to the full range of services in the AWS Region through the same APIs and tool sets; 5. Launching and viewing EC2 instances and EBS volumes running locally in Outposts. This release also introduces a new local gateway (LGW) with Outposts to enable connectivity between Outposts and local on-premises networks as well as the internet; 6. Peering Transit Gateways between regions simplifying creation of secure and private global networks on AWS; 7. Transit Gateway Multicast, enabling multicast routing within and between VPCs using Transit Gateway as a multicast router." | ||
| }, | ||
| { | ||
| "type": "feature", | ||
| "category": "ECS", | ||
| "description": "This release supports ECS Capacity Providers, Fargate Spot, and ECS Cluster Auto Scaling. These features enable new ways for ECS to manage compute capacity used by tasks." | ||
| }, | ||
| { | ||
| "type": "feature", | ||
| "category": "EKS", | ||
| "description": "Introducing Amazon EKS with Fargate. Customers can now use Amazon EKS to launch pods directly onto AWS Fargate, the serverless compute engine built for containers on AWS. " | ||
| }, | ||
| { | ||
| "type": "feature", | ||
| "category": "ES", | ||
| "description": "UltraWarm storage provides a cost-effective way to store large amounts of read-only data on Amazon Elasticsearch Service. Rather than attached storage, UltraWarm nodes use Amazon S3 and a sophisticated caching solution to improve performance. For indices that you are not actively writing to and query less frequently, UltraWarm storage offers significantly lower costs per GiB. In Elasticsearch, these warm indices behave just like any other index. You can query them using the same APIs or use them to create dashboards in Kibana." | ||
| }, | ||
| { | ||
| "type": "feature", | ||
| "category": "FraudDetector", | ||
| "description": "Amazon Fraud Detector is a fully managed service that makes it easy to identify potentially fraudulent online activities such as online payment fraud and the creation of fake accounts. Amazon Fraud Detector uses your data, machine learning (ML), and more than 20 years of fraud detection expertise from Amazon to automatically identify potentially fraudulent online activity so you can catch more fraud faster." | ||
| }, | ||
| { | ||
| "type": "feature", | ||
| "category": "Kendra", | ||
| "description": "It is a preview launch of Amazon Kendra. Amazon Kendra is a managed, highly accurate and easy to use enterprise search service that is powered by machine learning." | ||
| }, | ||
| { | ||
| "type": "feature", | ||
| "category": "NetworkManager", | ||
| "description": "This is the initial SDK release for AWS Network Manager." | ||
| }, | ||
| { | ||
| "type": "feature", | ||
| "category": "Outposts", | ||
| "description": "This is the initial release for AWS Outposts, a fully managed service that extends AWS infrastructure, services, APIs, and tools to customer sites. AWS Outposts enables you to launch and run EC2 instances and EBS volumes locally at your on-premises location. This release introduces new APIs for creating and viewing Outposts. " | ||
| }, | ||
| { | ||
| "type": "feature", | ||
| "category": "S3Control", | ||
| "description": "Amazon S3 Access Points is a new S3 feature that simplifies managing data access at scale for shared data sets on Amazon S3. Access Points provide a customizable way to access the objects in a bucket, with a unique hostname and access policy that enforces the specific permissions and network controls for any request made through the access point. This represents a new way of provisioning access to shared data sets." | ||
| }, | ||
| { | ||
| "type": "feature", | ||
| "category": "Textract", | ||
| "description": "This SDK Release introduces Amazon Augmented AI support for Amazon Textract AnalyzeDocument API. Image byte payloads for synchronous operations have increased from 5 MB to 10 MB." | ||
| } | ||
| ] |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,5 @@ | ||
| { | ||
| "version": "1.0", | ||
| "examples": { | ||
| } | ||
| } |
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| Original file line number | Diff line number | Diff line change |
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| { | ||
| "version": "2.0", | ||
| "metadata": { | ||
| "apiVersion": "2019-09-19", | ||
| "endpointPrefix": "codeguru-reviewer", | ||
| "jsonVersion": "1.1", | ||
| "protocol": "rest-json", | ||
| "serviceAbbreviation": "CodeGuruReviewer", | ||
| "serviceFullName": "Amazon CodeGuru Reviewer", | ||
| "serviceId": "CodeGuru Reviewer", | ||
| "signatureVersion": "v4", | ||
| "signingName": "codeguru-reviewer", | ||
| "uid": "codeguru-reviewer-2019-09-19" | ||
| }, | ||
| "operations": { | ||
| "AssociateRepository": { | ||
| "http": { | ||
| "requestUri": "/associations" | ||
| }, | ||
| "input": { | ||
| "type": "structure", | ||
| "required": [ | ||
| "Repository" | ||
| ], | ||
| "members": { | ||
| "Repository": { | ||
| "type": "structure", | ||
| "members": { | ||
| "CodeCommit": { | ||
| "type": "structure", | ||
| "required": [ | ||
| "Name" | ||
| ], | ||
| "members": { | ||
| "Name": {} | ||
| } | ||
| } | ||
| } | ||
| }, | ||
| "ClientRequestToken": { | ||
| "idempotencyToken": true | ||
| } | ||
| } | ||
| }, | ||
| "output": { | ||
| "type": "structure", | ||
| "members": { | ||
| "RepositoryAssociation": { | ||
| "shape": "S7" | ||
| } | ||
| } | ||
| } | ||
| }, | ||
| "DescribeRepositoryAssociation": { | ||
| "http": { | ||
| "method": "GET", | ||
| "requestUri": "/associations/{AssociationArn}" | ||
| }, | ||
| "input": { | ||
| "type": "structure", | ||
| "required": [ | ||
| "AssociationArn" | ||
| ], | ||
| "members": { | ||
| "AssociationArn": { | ||
| "location": "uri", | ||
| "locationName": "AssociationArn" | ||
| } | ||
| } | ||
| }, | ||
| "output": { | ||
| "type": "structure", | ||
| "members": { | ||
| "RepositoryAssociation": { | ||
| "shape": "S7" | ||
| } | ||
| } | ||
| } | ||
| }, | ||
| "DisassociateRepository": { | ||
| "http": { | ||
| "method": "DELETE", | ||
| "requestUri": "/associations/{AssociationArn}" | ||
| }, | ||
| "input": { | ||
| "type": "structure", | ||
| "required": [ | ||
| "AssociationArn" | ||
| ], | ||
| "members": { | ||
| "AssociationArn": { | ||
| "location": "uri", | ||
| "locationName": "AssociationArn" | ||
| } | ||
| } | ||
| }, | ||
| "output": { | ||
| "type": "structure", | ||
| "members": { | ||
| "RepositoryAssociation": { | ||
| "shape": "S7" | ||
| } | ||
| } | ||
| } | ||
| }, | ||
| "ListRepositoryAssociations": { | ||
| "http": { | ||
| "method": "GET", | ||
| "requestUri": "/associations" | ||
| }, | ||
| "input": { | ||
| "type": "structure", | ||
| "members": { | ||
| "ProviderTypes": { | ||
| "location": "querystring", | ||
| "locationName": "ProviderType", | ||
| "type": "list", | ||
| "member": {} | ||
| }, | ||
| "States": { | ||
| "location": "querystring", | ||
| "locationName": "State", | ||
| "type": "list", | ||
| "member": {} | ||
| }, | ||
| "Names": { | ||
| "location": "querystring", | ||
| "locationName": "Name", | ||
| "type": "list", | ||
| "member": {} | ||
| }, | ||
| "Owners": { | ||
| "location": "querystring", | ||
| "locationName": "Owner", | ||
| "type": "list", | ||
| "member": {} | ||
| }, | ||
| "MaxResults": { | ||
| "location": "querystring", | ||
| "locationName": "MaxResults", | ||
| "type": "integer" | ||
| }, | ||
| "NextToken": { | ||
| "location": "querystring", | ||
| "locationName": "NextToken" | ||
| } | ||
| } | ||
| }, | ||
| "output": { | ||
| "type": "structure", | ||
| "members": { | ||
| "RepositoryAssociationSummaries": { | ||
| "type": "list", | ||
| "member": { | ||
| "type": "structure", | ||
| "members": { | ||
| "AssociationArn": {}, | ||
| "LastUpdatedTimeStamp": { | ||
| "type": "timestamp" | ||
| }, | ||
| "AssociationId": {}, | ||
| "Name": {}, | ||
| "Owner": {}, | ||
| "ProviderType": {}, | ||
| "State": {} | ||
| } | ||
| } | ||
| }, | ||
| "NextToken": {} | ||
| } | ||
| } | ||
| } | ||
| }, | ||
| "shapes": { | ||
| "S7": { | ||
| "type": "structure", | ||
| "members": { | ||
| "AssociationId": {}, | ||
| "AssociationArn": {}, | ||
| "Name": {}, | ||
| "Owner": {}, | ||
| "ProviderType": {}, | ||
| "State": {}, | ||
| "StateReason": {}, | ||
| "LastUpdatedTimeStamp": { | ||
| "type": "timestamp" | ||
| }, | ||
| "CreatedTimeStamp": { | ||
| "type": "timestamp" | ||
| } | ||
| } | ||
| } | ||
| } | ||
| } |
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