AWS CodeStar

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

You can use the AWS CodeStar API to work with:

Projects and their resources, by calling the following:

• DeleteProject, which deletes a project.

• DescribeProject, which lists the attributes of a project.

• ListProjects, which lists all projects associated with your AWS account.

• ListResources, which lists the resources associated with a project.

• ListTagsForProject, which lists the tags associated with a project.

• TagProject, which adds tags to a project.

• UntagProject, which removes tags from a project.

• UpdateProject, which updates the attributes of a project.

Teams and team members, by calling the following:

• AssociateTeamMember, which adds an IAM user to the team for a project.

• DisassociateTeamMember, which removes an IAM user from the team for a project.

• ListTeamMembers, which lists all the IAM users in the team for a project, including their roles and attributes.

• UpdateTeamMember, which updates a team member's attributes in a project.

Users, by calling the following:

• CreateUserProfile, which creates a user profile that contains data associated with the user across all projects.

• DeleteUserProfile, which deletes all user profile information across all projects.

• DescribeUserProfile, which describes the profile of a user.

• ListUserProfiles, which lists all user profiles.

• UpdateUserProfile, which updates the profile for a user.

AWS CodeStar Connections

This AWS CodeStar Connections API Reference provides descriptions and usage examples of the operations and data types for the AWS CodeStar Connections API. You can use the connections API to work with connections and installations.

Connections are configurations that you use to connect AWS resources to external code repositories. Each connection is a resource that can be given to services such as CodePipeline to connect to a third-party repository such as Bitbucket. For example, you can add the connection in CodePipeline so that it triggers your pipeline when a code change is made to your third-party code repository. Each connection is named and associated with a unique ARN that is used to reference the connection.

When you create a connection, the console initiates a third-party connection handshake. Installations are the apps that are used to conduct this handshake. For example, the installation for the Bitbucket provider type is the Bitbucket app. When you create a connection, you can choose an existing installation or create one.

When you want to create a connection to an installed provider type such as GitHub Enterprise Server, you create a host for your connections.

You can work with connections by calling:

• CreateConnection, which creates a uniquely named connection that can be referenced by services such as CodePipeline.

• DeleteConnection, which deletes the specified connection.

• GetConnection, which returns information about the connection, including the connection status.

• ListConnections, which lists the connections associated with your account.

You can work with hosts by calling:

• CreateHost, which creates a host that represents the infrastructure where your provider is installed.

• DeleteHost, which deletes the specified host.

• GetHost, which returns information about the host, including the setup status.

• ListHosts, which lists the hosts associated with your account.

You can work with tags in AWS CodeStar Connections by calling the following:

• ListTagsForResource, which gets information about AWS tags for a specified Amazon Resource Name (ARN) in AWS CodeStar Connections.

• TagResource, which adds or updates tags for a resource in AWS CodeStar Connections.

• UntagResource, which removes tags for a resource in AWS CodeStar Connections.

For information about how to use AWS CodeStar Connections, see the Developer Tools User Guide.

This AWS CodeStar Notifications API Reference provides descriptions and usage examples of the operations and data types for the AWS CodeStar Notifications API. You can use the AWS CodeStar Notifications API to work with the following objects:

Notification rules, by calling the following:

• CreateNotificationRule, which creates a notification rule for a resource in your account.

• DeleteNotificationRule, which deletes a notification rule.

• DescribeNotificationRule, which provides information about a notification rule.

• ListNotificationRules, which lists the notification rules associated with your account.

• UpdateNotificationRule, which changes the name, events, or targets associated with a notification rule.

• Subscribe, which subscribes a target to a notification rule.

• Unsubscribe, which removes a target from a notification rule.

Targets, by calling the following:

• DeleteTarget, which removes a notification rule target from a notification rule.

• ListTargets, which lists the targets associated with a notification rule.

Events, by calling the following:

• ListEventTypes, which lists the event types you can include in a notification rule.

Tags, by calling the following:

• ListTagsForResource, which lists the tags already associated with a notification rule in your account.

• TagResource, which associates a tag you provide with a notification rule in your account.

• UntagResource, which removes a tag from a notification rule in your account.

For information about how to use AWS CodeStar Notifications, see the Amazon Web Services Developer Tools Console User Guide.

Amazon Cognito Federated Identities

Amazon Cognito Federated Identities is a web service that delivers scoped temporary credentials to mobile devices and other untrusted environments. It uniquely identifies a device and supplies the user with a consistent identity over the lifetime of an application.

Using Amazon Cognito Federated Identities, you can enable authentication with one or more third-party identity providers (Facebook, Google, or Login with Amazon) or an Amazon Cognito user pool, and you can also choose to support unauthenticated access from your app. Cognito delivers a unique identifier for each user and acts as an OpenID token provider trusted by AWS Security Token Service (STS) to access temporary, limited-privilege AWS credentials.

For a description of the authentication flow from the Amazon Cognito Developer Guide see Authentication Flow.

For more information see Amazon Cognito Federated Identities.

Using the Amazon Cognito user pools API, you can create a user pool to manage directories and users. You can authenticate a user to obtain tokens related to user identity and access policies.

This API reference provides information about user pools in Amazon Cognito user pools.

For more information, see the Amazon Cognito Documentation.

Amazon Cognito Sync

Amazon Cognito Sync provides an AWS service and client library that enable cross-device syncing of application-related user data. High-level client libraries are available for both iOS and Android. You can use these libraries to persist data locally so that it's available even if the device is offline. Developer credentials don't need to be stored on the mobile device to access the service. You can use Amazon Cognito to obtain a normalized user ID and credentials. User data is persisted in a dataset that can store up to 1 MB of key-value pairs, and you can have up to 20 datasets per user identity.

With Amazon Cognito Sync, the data stored for each identity is accessible only to credentials assigned to that identity. In order to use the Cognito Sync service, you need to make API calls using credentials retrieved with Amazon Cognito Identity service.

If you want to use Cognito Sync in an Android or iOS application, you will probably want to make API calls via the AWS Mobile SDK. To learn more, see the Developer Guide for Android and the Developer Guide for iOS.

Amazon Comprehend is an Amazon Web Services service for gaining insight into the content of documents. Use these actions to determine the topics contained in your documents, the topics they discuss, the predominant sentiment expressed in them, the predominant language used, and more.

Comprehend Medical; extracts structured information from unstructured clinical text. Use these actions to gain insight in your documents.

Compute Optimizer is a service that analyzes the configuration and utilization metrics of your Amazon Web Services compute resources, such as Amazon EC2 instances, Amazon EC2 Auto Scaling groups, Lambda functions, Amazon EBS volumes, and Amazon ECS services on Fargate. It reports whether your resources are optimal, and generates optimization recommendations to reduce the cost and improve the performance of your workloads. Compute Optimizer also provides recent utilization metric data, in addition to projected utilization metric data for the recommendations, which you can use to evaluate which recommendation provides the best price-performance trade-off. The analysis of your usage patterns can help you decide when to move or resize your running resources, and still meet your performance and capacity requirements. For more information about Compute Optimizer, including the required permissions to use the service, see the Compute Optimizer User Guide.

Config

Config provides a way to keep track of the configurations of all the Amazon Web Services resources associated with your Amazon Web Services account. You can use Config to get the current and historical configurations of each Amazon Web Services resource and also to get information about the relationship between the resources. An Amazon Web Services resource can be an Amazon Compute Cloud (Amazon EC2) instance, an Elastic Block Store (EBS) volume, an elastic network Interface (ENI), or a security group. For a complete list of resources currently supported by Config, see Supported Amazon Web Services resources.

You can access and manage Config through the Amazon Web Services Management Console, the Amazon Web Services Command Line Interface (Amazon Web Services CLI), the Config API, or the Amazon Web Services SDKs for Config. This reference guide contains documentation for the Config API and the Amazon Web Services CLI commands that you can use to manage Config. The Config API uses the Signature Version 4 protocol for signing requests. For more information about how to sign a request with this protocol, see Signature Version 4 Signing Process. For detailed information about Config features and their associated actions or commands, as well as how to work with Amazon Web Services Management Console, see What Is Config in the Config Developer Guide.

Amazon Connect is a cloud-based contact center solution that you use to set up and manage a customer contact center and provide reliable customer engagement at any scale.

Amazon Connect provides metrics and real-time reporting that enable you to optimize contact routing. You can also resolve customer issues more efficiently by getting customers in touch with the appropriate agents.

There are limits to the number of Amazon Connect resources that you can create. There are also limits to the number of requests that you can make per second. For more information, see Amazon Connect Service Quotas in the Amazon Connect Administrator Guide.

You can connect programmatically to an Amazon Web Services service by using an endpoint. For a list of Amazon Connect endpoints, see Amazon Connect Endpoints.

Contact Lens for Amazon Connect enables you to analyze conversations between customer and agents, by using speech transcription, natural language processing, and intelligent search capabilities. It performs sentiment analysis, detects issues, and enables you to automatically categorize contacts.

Contact Lens for Amazon Connect provides both real-time and post-call analytics of customer-agent conversations. For more information, see Analyze conversations using Contact Lens in the Amazon Connect Administrator Guide.

Amazon Connect is an easy-to-use omnichannel cloud contact center service that enables companies of any size to deliver superior customer service at a lower cost. Amazon Connect communications capabilities make it easy for companies to deliver personalized interactions across communication channels, including chat.

Use the Amazon Connect Participant Service to manage participants (for example, agents, customers, and managers listening in), and to send messages and events within a chat contact. The APIs in the service enable the following: sending chat messages, attachment sharing, managing a participant's connection state and message events, and retrieving chat transcripts.

The AWS Cost and Usage Report API enables you to programmatically create, query, and delete AWS Cost and Usage report definitions.

AWS Cost and Usage reports track the monthly AWS costs and usage associated with your AWS account. The report contains line items for each unique combination of AWS product, usage type, and operation that your AWS account uses. You can configure the AWS Cost and Usage report to show only the data that you want, using the AWS Cost and Usage API.

Service Endpoint

The AWS Cost and Usage Report API provides the following endpoint:

• cur.us-east-1.amazonaws.com

Amazon Connect Customer Profiles

Amazon Connect Customer Profiles is a unified customer profile for your contact center that has pre-built connectors powered by AppFlow that make it easy to combine customer information from third party applications, such as Salesforce (CRM), ServiceNow (ITSM), and your enterprise resource planning (ERP), with contact history from your Amazon Connect contact center. If you're new to Amazon Connect, you might find it helpful to review the Amazon Connect Administrator Guide.

Glue DataBrew is a visual, cloud-scale data-preparation service. DataBrew simplifies data preparation tasks, targeting data issues that are hard to spot and time-consuming to fix. DataBrew empowers users of all technical levels to visualize the data and perform one-click data transformations, with no coding required.

AWS Data Exchange is a service that makes it easy for AWS customers to exchange data in the cloud. You can use the AWS Data Exchange APIs to create, update, manage, and access file-based data set in the AWS Cloud.

As a subscriber, you can view and access the data sets that you have an entitlement to through a subscription. You can use the APIs to download or copy your entitled data sets to Amazon Simple Storage Service (Amazon S3) for use across a variety of AWS analytics and machine learning services.

As a provider, you can create and manage your data sets that you would like to publish to a product. Being able to package and provide your data sets into products requires a few steps to determine eligibility. For more information, visit the AWS Data Exchange User Guide.

A data set is a collection of data that can be changed or updated over time. Data sets can be updated using revisions, which represent a new version or incremental change to a data set. A revision contains one or more assets. An asset in AWS Data Exchange is a piece of data that can be stored as an Amazon S3 object, Redshift datashare, API Gateway API, AWS Lake Formation data permission, or Amazon S3 data access. The asset can be a structured data file, an image file, or some other data file. Jobs are asynchronous import or export operations used to create or copy assets.

AWS Data Pipeline configures and manages a data-driven workflow called a pipeline. AWS Data Pipeline handles the details of scheduling and ensuring that data dependencies are met so that your application can focus on processing the data.

AWS Data Pipeline provides a JAR implementation of a task runner called AWS Data Pipeline Task Runner. AWS Data Pipeline Task Runner provides logic for common data management scenarios, such as performing database queries and running data analysis using Amazon Elastic MapReduce (Amazon EMR). You can use AWS Data Pipeline Task Runner as your task runner, or you can write your own task runner to provide custom data management.

AWS Data Pipeline implements two main sets of functionality. Use the first set to create a pipeline and define data sources, schedules, dependencies, and the transforms to be performed on the data. Use the second set in your task runner application to receive the next task ready for processing. The logic for performing the task, such as querying the data, running data analysis, or converting the data from one format to another, is contained within the task runner. The task runner performs the task assigned to it by the web service, reporting progress to the web service as it does so. When the task is done, the task runner reports the final success or failure of the task to the web service.

DataSync

DataSync is a managed data transfer service that makes it simpler for you to automate moving data between on-premises storage and Amazon Web Services storage services. You also can use DataSync to transfer data between other cloud providers and Amazon Web Services storage services.

This API interface reference includes documentation for using DataSync programmatically. For complete information, see the DataSync User Guide .

DAX is a managed caching service engineered for Amazon DynamoDB. DAX dramatically speeds up database reads by caching frequently-accessed data from DynamoDB, so applications can access that data with sub-millisecond latency. You can create a DAX cluster easily, using the AWS Management Console. With a few simple modifications to your code, your application can begin taking advantage of the DAX cluster and realize significant improvements in read performance.