Amazon Web Services Outposts is a fully managed service that extends Amazon Web Services infrastructure, APIs, and tools to customer premises. By providing local access to Amazon Web Services managed infrastructure, Amazon Web Services Outposts enables customers to build and run applications on premises using the same programming interfaces as in Amazon Web Services Regions, while using local compute and storage resources for lower latency and local data processing needs.
Amazon Personalize is a machine learning service that makes it easy to add individualized recommendations to customers.
Amazon Personalize can consume real-time user event data, such as stream or click data, and use it for model training either alone or combined with historical data. For more information see Recording Events.
Amazon RDS Performance Insights enables you to monitor and explore different dimensions of database load based on data captured from a running DB instance. The guide provides detailed information about Performance Insights data types, parameters and errors.
When Performance Insights is enabled, the Amazon RDS Performance Insights API provides visibility into the performance of your DB instance. Amazon CloudWatch provides the authoritative source for Amazon Web Services service-vended monitoring metrics. Performance Insights offers a domain-specific view of DB load.
DB load is measured as average active sessions. Performance Insights provides the data to API consumers as a two-dimensional time-series dataset. The time dimension provides DB load data for each time point in the queried time range. Each time point decomposes overall load in relation to the requested dimensions, measured at that time point. Examples include SQL, Wait event, User, and Host.
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To learn more about Performance Insights and Amazon Aurora DB instances, go to the Amazon Aurora User Guide .
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To learn more about Performance Insights and Amazon RDS DB instances, go to the Amazon RDS User Guide .
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To learn more about Performance Insights and Amazon DocumentDB clusters, go to the Amazon DocumentDB Developer Guide .
Doc Engage API - Amazon Pinpoint API
Welcome to the Amazon Pinpoint Email API Reference. This guide provides information about the Amazon Pinpoint Email API (version 1.0), including supported operations, data types, parameters, and schemas.
Amazon Pinpoint is an AWS service that you can use to engage with your customers across multiple messaging channels. You can use Amazon Pinpoint to send email, SMS text messages, voice messages, and push notifications. The Amazon Pinpoint Email API provides programmatic access to options that are unique to the email channel and supplement the options provided by the Amazon Pinpoint API.
If you're new to Amazon Pinpoint, you might find it helpful to also review the Amazon Pinpoint Developer Guide. The Amazon Pinpoint Developer Guide provides tutorials, code samples, and procedures that demonstrate how to use Amazon Pinpoint features programmatically and how to integrate Amazon Pinpoint functionality into mobile apps and other types of applications. The guide also provides information about key topics such as Amazon Pinpoint integration with other AWS services and the limits that apply to using the service.
The Amazon Pinpoint Email API is available in several AWS Regions and it provides an endpoint for each of these Regions. For a list of all the Regions and endpoints where the API is currently available, see AWS Service Endpoints in the Amazon Web Services General Reference. To learn more about AWS Regions, see Managing AWS Regions in the Amazon Web Services General Reference.
In each Region, AWS maintains multiple Availability Zones. These Availability Zones are physically isolated from each other, but are united by private, low-latency, high-throughput, and highly redundant network connections. These Availability Zones enable us to provide very high levels of availability and redundancy, while also minimizing latency. To learn more about the number of Availability Zones that are available in each Region, see AWS Global Infrastructure.
Amazon Polly is a web service that makes it easy to synthesize speech from text.
The Amazon Polly service provides API operations for synthesizing high-quality speech from plain text and Speech Synthesis Markup Language (SSML), along with managing pronunciations lexicons that enable you to get the best results for your application domain.
Amazon Web Services Price List API is a centralized and convenient way to programmatically query Amazon Web Services for services, products, and pricing information. The Amazon Web Services Price List uses standardized product attributes such as Location, Storage Class, and Operating System, and provides prices at the SKU level. You can use the Amazon Web Services Price List to build cost control and scenario planning tools, reconcile billing data, forecast future spend for budgeting purposes, and provide cost benefit analysis that compare your internal workloads with Amazon Web Services.
Use GetServices without a service code to retrieve the service codes for all AWS services, then GetServices with a service code to retrieve the attribute names for that service. After you have the service code and attribute names, you can use GetAttributeValues to see what values are available for an attribute. With the service code and an attribute name and value, you can use GetProducts to find specific products that you're interested in, such as an AmazonEC2 instance, with a Provisioned IOPS volumeType.
Service Endpoint
Amazon Web Services Price List service API provides the following two endpoints:
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https://api.pricing.us-east-1.amazonaws.com
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https://api.pricing.ap-south-1.amazonaws.com
This is the Proton Service API Reference. It provides descriptions, syntax and usage examples for each of the actions and data types for the Proton service.
The documentation for each action shows the Query API request parameters and the XML response.
Alternatively, you can use the Amazon Web Services CLI to access an API. For more information, see the Amazon Web Services Command Line Interface User Guide.
The Proton service is a two-pronged automation framework. Administrators create service templates to provide standardized infrastructure and deployment tooling for serverless and container based applications. Developers, in turn, select from the available service templates to automate their application or service deployments.
Because administrators define the infrastructure and tooling that Proton deploys and manages, they need permissions to use all of the listed API operations.
When developers select a specific infrastructure and tooling set, Proton deploys their applications. To monitor their applications that are running on Proton, developers need permissions to the service create, list, update and delete API operations and the service instance list and update API operations.
To learn more about Proton, see the Proton User Guide.
Ensuring Idempotency
When you make a mutating API request, the request typically returns a result before the asynchronous workflows of the operation are complete. Operations might also time out or encounter other server issues before they're complete, even if the request already returned a result. This might make it difficult to determine whether the request succeeded. Moreover, you might need to retry the request multiple times to ensure that the operation completes successfully. However, if the original request and the subsequent retries are successful, the operation occurs multiple times. This means that you might create more resources than you intended.
Idempotency ensures that an API request action completes no more than one time. With an idempotent request, if the original request action completes successfully, any subsequent retries complete successfully without performing any further actions. However, the result might contain updated information, such as the current creation status.
The following lists of APIs are grouped according to methods that ensure idempotency.
Idempotent create APIs with a client token
The API actions in this list support idempotency with the use of a client token. The corresponding Amazon Web Services CLI commands also support idempotency using a client token. A client token is a unique, case-sensitive string of up to 64 ASCII characters. To make an idempotent API request using one of these actions, specify a client token in the request. We recommend that you don't reuse the same client token for other API requests. If you don’t provide a client token for these APIs, a default client token is automatically provided by SDKs.
Given a request action that has succeeded:
If you retry the request using the same client token and the same parameters, the retry succeeds without performing any further actions other than returning the original resource detail data in the response.
If you retry the request using the same client token, but one or more of the parameters are different, the retry throws a ValidationException with an IdempotentParameterMismatch error.
Client tokens expire eight hours after a request is made. If you retry the request with the expired token, a new resource is created.
If the original resource is deleted and you retry the request, a new resource is created.
Idempotent create APIs with a client token:
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CreateEnvironmentTemplateVersion
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CreateServiceTemplateVersion
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CreateEnvironmentAccountConnection
Idempotent create APIs
Given a request action that has succeeded:
If you retry the request with an API from this group, and the original resource hasn't been modified, the retry succeeds without performing any further actions other than returning the original resource detail data in the response.
If the original resource has been modified, the retry throws a ConflictException.
If you retry with different input parameters, the retry throws a ValidationException with an IdempotentParameterMismatch error.
Idempotent create APIs:
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CreateEnvironmentTemplate
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CreateServiceTemplate
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CreateEnvironment
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CreateService
Idempotent delete APIs
Given a request action that has succeeded:
When you retry the request with an API from this group and the resource was deleted, its metadata is returned in the response.
If you retry and the resource doesn't exist, the response is empty.
In both cases, the retry succeeds.
Idempotent delete APIs:
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DeleteEnvironmentTemplate
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DeleteEnvironmentTemplateVersion
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DeleteServiceTemplate
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DeleteServiceTemplateVersion
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DeleteEnvironmentAccountConnection
Asynchronous idempotent delete APIs
Given a request action that has succeeded:
If you retry the request with an API from this group, if the original request delete operation status is DELETE_IN_PROGRESS, the retry returns the resource detail data in the response without performing any further actions.
If the original request delete operation is complete, a retry returns an empty response.
Asynchronous idempotent delete APIs:
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DeleteEnvironment
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DeleteService
The control plane for Amazon QLDB
The transactional data APIs for Amazon QLDB
Instead of interacting directly with this API, we recommend using the QLDB driver or the QLDB shell to execute data transactions on a ledger.
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If you are working with an AWS SDK, use the QLDB driver. The driver provides a high-level abstraction layer above this QLDB Session data plane and manages
SendCommandAPI calls for you. For information and a list of supported programming languages, see Getting started with the driver in the Amazon QLDB Developer Guide. -
If you are working with the AWS Command Line Interface (AWS CLI), use the QLDB shell. The shell is a command line interface that uses the QLDB driver to interact with a ledger. For information, see Accessing Amazon QLDB using the QLDB shell.
Amazon QuickSight is a fully managed, serverless business intelligence service for the Amazon Web Services Cloud that makes it easy to extend data and insights to every user in your organization. This API reference contains documentation for a programming interface that you can use to manage Amazon QuickSight.
This is the Resource Access Manager API Reference. This documentation provides descriptions and syntax for each of the actions and data types in RAM. RAM is a service that helps you securely share your Amazon Web Services resources to other Amazon Web Services accounts. If you use Organizations to manage your accounts, then you can share your resources with your entire organization or to organizational units (OUs). For supported resource types, you can also share resources with individual Identity and Access Management (IAM) roles and users.
To learn more about RAM, see the following resources:
Amazon Relational Database Service (Amazon RDS) is a web service that makes it easier to set up, operate, and scale a relational database in the cloud. It provides cost-efficient, resizeable capacity for an industry-standard relational database and manages common database administration tasks, freeing up developers to focus on what makes their applications and businesses unique.
Amazon RDS gives you access to the capabilities of a MySQL, MariaDB, PostgreSQL, Microsoft SQL Server, Oracle, or Amazon Aurora database server. These capabilities mean that the code, applications, and tools you already use today with your existing databases work with Amazon RDS without modification. Amazon RDS automatically backs up your database and maintains the database software that powers your DB instance. Amazon RDS is flexible: you can scale your DB instance's compute resources and storage capacity to meet your application's demand. As with all Amazon Web Services, there are no up-front investments, and you pay only for the resources you use.
This interface reference for Amazon RDS contains documentation for a programming or command line interface you can use to manage Amazon RDS. Amazon RDS is asynchronous, which means that some interfaces might require techniques such as polling or callback functions to determine when a command has been applied. In this reference, the parameter descriptions indicate whether a command is applied immediately, on the next instance reboot, or during the maintenance window. The reference structure is as follows, and we list following some related topics from the user guide.
Amazon RDS API Reference
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For the alphabetical list of API actions, see API Actions.
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For the alphabetical list of data types, see Data Types.
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For a list of common query parameters, see Common Parameters.
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For descriptions of the error codes, see Common Errors.
Amazon RDS User Guide
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For a summary of the Amazon RDS interfaces, see Available RDS Interfaces.
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For more information about how to use the Query API, see Using the Query API.
Amazon RDS provides an HTTP endpoint to run SQL statements on an Amazon Aurora Serverless v1 DB cluster. To run these statements, you work with the Data Service API.
The Data Service API isn't supported on Amazon Aurora Serverless v2 DB clusters.
For more information about the Data Service API, see Using the Data API in the Amazon Aurora User Guide.
Overview
This is an interface reference for Amazon Redshift. It contains documentation for one of the programming or command line interfaces you can use to manage Amazon Redshift clusters. Note that Amazon Redshift is asynchronous, which means that some interfaces may require techniques, such as polling or asynchronous callback handlers, to determine when a command has been applied. In this reference, the parameter descriptions indicate whether a change is applied immediately, on the next instance reboot, or during the next maintenance window. For a summary of the Amazon Redshift cluster management interfaces, go to Using the Amazon Redshift Management Interfaces.
Amazon Redshift manages all the work of setting up, operating, and scaling a data warehouse: provisioning capacity, monitoring and backing up the cluster, and applying patches and upgrades to the Amazon Redshift engine. You can focus on using your data to acquire new insights for your business and customers.
If you are a first-time user of Amazon Redshift, we recommend that you begin by reading the Amazon Redshift Getting Started Guide.
If you are a database developer, the Amazon Redshift Database Developer Guide explains how to design, build, query, and maintain the databases that make up your data warehouse.
You can use the Amazon Redshift Data API to run queries on Amazon Redshift tables. You can run SQL statements, which are committed if the statement succeeds.
For more information about the Amazon Redshift Data API and CLI usage examples, see Using the Amazon Redshift Data API in the Amazon Redshift Management Guide.
This is the API Reference for Amazon Rekognition Image, Amazon Rekognition Custom Labels, Amazon Rekognition Stored Video, Amazon Rekognition Streaming Video. It provides descriptions of actions, data types, common parameters, and common errors.
Amazon Rekognition Image
Amazon Rekognition Custom Labels
Amazon Rekognition Video Stored Video
Amazon Rekognition Video Streaming Video
Resource Groups lets you organize Amazon Web Services resources such as Amazon Elastic Compute Cloud instances, Amazon Relational Database Service databases, and Amazon Simple Storage Service buckets into groups using criteria that you define as tags. A resource group is a collection of resources that match the resource types specified in a query, and share one or more tags or portions of tags. You can create a group of resources based on their roles in your cloud infrastructure, lifecycle stages, regions, application layers, or virtually any criteria. Resource Groups enable you to automate management tasks, such as those in Amazon Web Services Systems Manager Automation documents, on tag-related resources in Amazon Web Services Systems Manager. Groups of tagged resources also let you quickly view a custom console in Amazon Web Services Systems Manager that shows Config compliance and other monitoring data about member resources.
To create a resource group, build a resource query, and specify tags that identify the criteria that members of the group have in common. Tags are key-value pairs.
For more information about Resource Groups, see the Resource Groups User Guide.
Resource Groups uses a REST-compliant API that you can use to perform the following types of operations.
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Create, Read, Update, and Delete (CRUD) operations on resource groups and resource query entities
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Applying, editing, and removing tags from resource groups
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Resolving resource group member ARNs so they can be returned as search results
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Getting data about resources that are members of a group
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Searching Amazon Web Services resources based on a resource query