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AWS Certificate Manager

Welcome to the AWS Certificate Manager (ACM) API documentation.

You can use ACM to manage SSL/TLS certificates for your AWS-based websites and applications. For general information about using ACM, see the AWS Certificate Manager User Guide .

Amazon API Gateway

Amazon API Gateway helps developers deliver robust, secure, and scalable mobile and web application back ends. Amazon API Gateway allows developers to securely connect mobile and web applications to APIs that run on AWS Lambda, Amazon EC2, or other publicly addressable web services that are hosted outside of AWS.

Amazon AppStream 2.0

API documentation for Amazon AppStream 2.0.

Amazon Athena is an interactive query service that lets you use standard SQL to analyze data directly in Amazon S3. You can point Athena at your data in Amazon S3 and run ad-hoc queries and get results in seconds. Athena is serverless, so there is no infrastructure to set up or manage. You pay only for the queries you run. Athena scales automatically—executing queries in parallel—so results are fast, even with large datasets and complex queries. For more information, see What is Amazon Athena in the Amazon Athena User Guide.

For code samples using the AWS SDK for Java, see Examples and Code Samples in the Amazon Athena User Guide.

With Application Auto Scaling, you can automatically scale your AWS resources. The experience similar to that of Auto Scaling. You can use Application Auto Scaling to accomplish the following tasks:

• Define scaling policies to automatically scale your AWS resources

• Scale your resources in response to CloudWatch alarms

• View the history of your scaling events

Application Auto Scaling can scale the following AWS resources:

• Amazon ECS services. For more information, see Service Auto Scaling in the Amazon EC2 Container Service Developer Guide.

• Amazon EC2 Spot fleets. For more information, see Automatic Scaling for Spot Fleet in the Amazon EC2 User Guide.

• Amazon EMR clusters. For more information, see Using Automatic Scaling in Amazon EMR in the Amazon EMR Management Guide.

• AppStream 2.0 fleets. For more information, see Fleet Auto Scaling for Amazon AppStream 2.0 in the Amazon AppStream 2.0 Developer Guide.

• Provisioned read and write capacity for Amazon DynamoDB tables and global secondary indexes. For more information, see Auto Scaling for DynamoDB in the Amazon DynamoDB Developer Guide.

For a list of supported regions, see AWS Regions and Endpoints: Application Auto Scaling in the AWS General Reference.

AWS Batch enables you to run batch computing workloads on the AWS Cloud. Batch computing is a common way for developers, scientists, and engineers to access large amounts of compute resources, and AWS Batch removes the undifferentiated heavy lifting of configuring and managing the required infrastructure. AWS Batch will be familiar to users of traditional batch computing software. This service can efficiently provision resources in response to jobs submitted in order to eliminate capacity constraints, reduce compute costs, and deliver results quickly.

As a fully managed service, AWS Batch enables developers, scientists, and engineers to run batch computing workloads of any scale. AWS Batch automatically provisions compute resources and optimizes the workload distribution based on the quantity and scale of the workloads. With AWS Batch, there is no need to install or manage batch computing software, which allows you to focus on analyzing results and solving problems. AWS Batch reduces operational complexities, saves time, and reduces costs, which makes it easy for developers, scientists, and engineers to run their batch jobs in the AWS Cloud.

All public APIs for AWS Budgets

Amazon Cloud Directory

Amazon Cloud Directory is a component of the AWS Directory Service that simplifies the development and management of cloud-scale web, mobile, and IoT applications. This guide describes the Cloud Directory operations that you can call programmatically and includes detailed information on data types and errors. For information about AWS Directory Services features, see AWS Directory Service and the AWS Directory Service Administration Guide.

AWS CloudFormation

AWS CloudFormation allows you to create and manage AWS infrastructure deployments predictably and repeatedly. You can use AWS CloudFormation to leverage AWS products, such as Amazon Elastic Compute Cloud, Amazon Elastic Block Store, Amazon Simple Notification Service, Elastic Load Balancing, and Auto Scaling to build highly-reliable, highly scalable, cost-effective applications without creating or configuring the underlying AWS infrastructure.

With AWS CloudFormation, you declare all of your resources and dependencies in a template file. The template defines a collection of resources as a single unit called a stack. AWS CloudFormation creates and deletes all member resources of the stack together and manages all dependencies between the resources for you.

For more information about AWS CloudFormation, see the AWS CloudFormation Product Page.

Amazon CloudFormation makes use of other AWS products. If you need additional technical information about a specific AWS product, you can find the product's technical documentation at docs.aws.amazon.com.

APIs for stacks

When you use AWS CloudFormation, you manage related resources as a single unit called a stack. You create, update, and delete a collection of resources by creating, updating, and deleting stacks. All the resources in a stack are defined by the stack's AWS CloudFormation template.

Actions

• CancelUpdateStack

• ContinueUpdateRollback

• CreateStack

• DeleteStack

• DescribeStackEvents

• DescribeStackResource

• DescribeStackResources

• DescribeStacks

• EstimateTemplateCost

• GetStackPolicy

• GetTemplate

• GetTemplateSummary

• ListExports

• ListImports

• ListStackResources

• ListStacks

• SetStackPolicy

• UpdateStack

• ValidateTemplate

Data Types

• Export

• Parameter

• ParameterConstraints

• ParameterDeclaration

• Stack

• StackEvent

• StackResource

• StackResourceDetail

• StackResourceSummary

• StackSummary

• Tag

• TemplateParameter

APIs for change sets

If you need to make changes to the running resources in a stack, you update the stack. Before making changes to your resources, you can generate a change set, which is summary of your proposed changes. Change sets allow you to see how your changes might impact your running resources, especially for critical resources, before implementing them.

Actions

• CreateChangeSet

• DeleteChangeSet

• DescribeChangeSet

• ExecuteChangeSet

• ListChangeSets

Data Types

• Change

• ChangeSetSummary

• ResourceChange

• ResourceChangeDetail

• ResourceTargetDefinition

APIs for stack sets

AWS CloudFormation StackSets lets you create a collection, or stack set, of stacks that can automatically and safely provision a common set of AWS resources across multiple AWS accounts and multiple AWS regions from a single AWS CloudFormation template. When you create a stack set, AWS CloudFormation provisions a stack in each of the specified accounts and regions by using the supplied AWS CloudFormation template and parameters. Stack sets let you manage a common set of AWS resources in a selection of accounts and regions in a single operation.

Actions

• CreateStackInstances

• CreateStackSet

• DeleteStackInstances

• DeleteStackSet

• DescribeStackInstance

• DescribeStackSet

• DescribeStackSetOperation

• ListStackInstances

• ListStackSetOperationResults

• ListStackSetOperations

• ListStackSets

• StopStackSetOperation

• UpdateStackSet

Data Types

• Parameter

• StackInstance

• StackInstanceSummary

• StackSet

• StackSetOperation

• StackSetOperationPreferences

• StackSetOperationResultSummary

• StackSetOperationSummary

• StackSetSummary

• Tag

Amazon CloudFront

This is the Amazon CloudFront API Reference. This guide is for developers who need detailed information about the CloudFront API actions, data types, and errors. For detailed information about CloudFront features and their associated API calls, see the Amazon CloudFront Developer Guide.

AWS CloudHSM Service

For more information about AWS CloudHSM, see AWS CloudHSM and the AWS CloudHSM User Guide.

Amazon CloudSearch Configuration Service

You use the Amazon CloudSearch configuration service to create, configure, and manage search domains. Configuration service requests are submitted using the AWS Query protocol. AWS Query requests are HTTP or HTTPS requests submitted via HTTP GET or POST with a query parameter named Action.

The endpoint for configuration service requests is region-specific: cloudsearch.region.amazonaws.com. For example, cloudsearch.us-east-1.amazonaws.com. For a current list of supported regions and endpoints, see Regions and Endpoints.

You use the AmazonCloudSearch2013 API to upload documents to a search domain and search those documents.

The endpoints for submitting UploadDocuments, Search, and Suggest requests are domain-specific. To get the endpoints for your domain, use the Amazon CloudSearch configuration service DescribeDomains action. The domain endpoints are also displayed on the domain dashboard in the Amazon CloudSearch console. You submit suggest requests to the search endpoint.

For more information, see the Amazon CloudSearch Developer Guide.

AWS CloudTrail

This is the CloudTrail API Reference. It provides descriptions of actions, data types, common parameters, and common errors for CloudTrail.

CloudTrail is a web service that records AWS API calls for your AWS account and delivers log files to an Amazon S3 bucket. The recorded information includes the identity of the user, the start time of the AWS API call, the source IP address, the request parameters, and the response elements returned by the service.

See the AWS CloudTrail User Guide for information about the data that is included with each AWS API call listed in the log files.

AWS CodeBuild

AWS CodeBuild is a fully managed build service in the cloud. AWS CodeBuild compiles your source code, runs unit tests, and produces artifacts that are ready to deploy. AWS CodeBuild eliminates the need to provision, manage, and scale your own build servers. It provides prepackaged build environments for the most popular programming languages and build tools, such as Apach Maven, Gradle, and more. You can also fully customize build environments in AWS CodeBuild to use your own build tools. AWS CodeBuild scales automatically to meet peak build requests, and you pay only for the build time you consume. For more information about AWS CodeBuild, see the AWS CodeBuild User Guide.

AWS CodeBuild supports these operations:

• BatchGetProjects: Gets information about one or more build projects. A build project defines how AWS CodeBuild will run a build. This includes information such as where to get the source code to build, the build environment to use, the build commands to run, and where to store the build output. A build environment represents a combination of operating system, programming language runtime, and tools that AWS CodeBuild will use to run a build. Also, you can add tags to build projects to help manage your resources and costs.

• CreateProject: Creates a build project.

• DeleteProject: Deletes a build project.

• ListProjects: Gets a list of build project names, with each build project name representing a single build project.

• UpdateProject: Changes the settings of an existing build project.

• BatchGetBuilds: Gets information about one or more builds.

• ListBuilds: Gets a list of build IDs, with each build ID representing a single build.

• ListBuildsForProject: Gets a list of build IDs for the specified build project, with each build ID representing a single build.

• StartBuild: Starts running a build.

• StopBuild: Attempts to stop running a build.

• ListCuratedEnvironmentImages: Gets information about Docker images that are managed by AWS CodeBuild.

AWS CodeCommit

This is the AWS CodeCommit API Reference. This reference provides descriptions of the operations and data types for AWS CodeCommit API along with usage examples.

You can use the AWS CodeCommit API to work with the following objects:

Repositories, by calling the following:

• BatchGetRepositories, which returns information about one or more repositories associated with your AWS account

• CreateRepository, which creates an AWS CodeCommit repository

• DeleteRepository, which deletes an AWS CodeCommit repository

• GetRepository, which returns information about a specified repository

• ListRepositories, which lists all AWS CodeCommit repositories associated with your AWS account

• UpdateRepositoryDescription, which sets or updates the description of the repository

• UpdateRepositoryName, which changes the name of the repository. If you change the name of a repository, no other users of that repository will be able to access it until you send them the new HTTPS or SSH URL to use.

Branches, by calling the following:

• CreateBranch, which creates a new branch in a specified repository

• GetBranch, which returns information about a specified branch

• ListBranches, which lists all branches for a specified repository

• UpdateDefaultBranch, which changes the default branch for a repository

Information about committed code in a repository, by calling the following:

• GetBlob, which returns the base-64 encoded content of an individual Git blob object within a repository

• GetCommit, which returns information about a commit, including commit messages and author and committer information

• GetDifferences, which returns information about the differences in a valid commit specifier (such as a branch, tag, HEAD, commit ID or other fully qualified reference)

Triggers, by calling the following:

• GetRepositoryTriggers, which returns information about triggers configured for a repository

• PutRepositoryTriggers, which replaces all triggers for a repository and can be used to create or delete triggers

• TestRepositoryTriggers, which tests the functionality of a repository trigger by sending data to the trigger target

For information about how to use AWS CodeCommit, see the AWS CodeCommit User Guide.