Mock sample for your project: AWS Certificate Manager Private Certificate Authority API

Cloud Map With Cloud Map, you can configure public DNS, private DNS, or HTTP namespaces that your microservice applications run in. When an instance becomes available, you can call the Cloud Map API to register the instance with Cloud Map. For public or private DNS namespaces, Cloud Map automatically creates DNS records and an optional health check. Clients that submit public or private DNS queries, or HTTP requests, for the service receive an answer that contains up to eight healthy records.

Welcome to the Amazon Route 53 Application Recovery Controller API Reference Guide for Recovery Control Data Plane . Recovery control in Route 53 Application Recovery Controller includes extremely reliable routing controls that enable you to recover applications by rerouting traffic, for example, across Availability Zones or AWS Regions. Routing controls are simple on/off switches hosted on a cluster. A cluster is a set of five redundant regional endpoints against which you can execute API calls to update or get the state of routing controls. You use routing controls to failover traffic to recover your application across Availability Zones or Regions. This API guide includes information about how to get and update routing control states in Route 53 Application Recovery Controller. For more information about Route 53 Application Recovery Controller, see the following: You can create clusters, routing controls, and control panels by using the control plane API for Recovery Control. For more information, see Amazon Route 53 Application Recovery Controller Recovery Control API Reference. Route 53 Application Recovery Controller also provides continuous readiness checks to ensure that your applications are scaled to handle failover traffic. For more information about the related API actions, see Amazon Route 53 Application Recovery Controller Recovery Readiness API Reference. For more information about creating resilient applications and preparing for recovery readiness with Route 53 Application Recovery Controller, see the Amazon Route 53 Application Recovery Controller Developer Guide.

Amazon Timestream is a fast, scalable, fully managed time series database service that makes it easy to store and analyze trillions of time series data points per day. With Timestream, you can easily store and analyze IoT sensor data to derive insights from your IoT applications. You can analyze industrial telemetry to streamline equipment management and maintenance. You can also store and analyze log data and metrics to improve the performance and availability of your applications. Timestream is built from the ground up to effectively ingest, process, and store time series data. It organizes data to optimize query processing. It automatically scales based on the volume of data ingested and on the query volume to ensure you receive optimal performance while inserting and querying data. As your data grows over time, Timestream’s adaptive query processing engine spans across storage tiers to provide fast analysis while reducing costs.

Provides APIs for creating and managing Amazon SageMaker resources. Other Resources: Amazon SageMaker Developer Guide Amazon Augmented AI Runtime API Reference

Resource Groups Tagging API

Amazon RDS Performance Insights 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 AWS 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. To learn more about Performance Insights and Amazon Aurora DB instances, go to the Amazon Aurora User Guide. To learn more about Performance Insights and Amazon RDS DB instances, go to the Amazon RDS User Guide.

AWS Organizations is a web service that enables you to consolidate your multiple AWS accounts into an organization and centrally manage your accounts and their resources. This guide provides descriptions of the Organizations operations. For more information about using this service, see the AWS Organizations User Guide. Support and feedback for AWS Organizations We welcome your feedback. Send your comments to [email protected] or post your feedback and questions in the AWS Organizations support forum. For more information about the AWS support forums, see Forums Help. Endpoint to call When using the AWS CLI or the AWS SDK For the current release of Organizations, specify the us-east-1 region for all AWS API and AWS CLI calls made from the commercial AWS Regions outside of China. If calling from one of the AWS Regions in China, then specify cn-northwest-1. You can do this in the AWS CLI by using these parameters and commands: Use the following parameter with each command to specify both the endpoint and its region: --endpoint-url https://organizations.us-east-1.amazonaws.com (from commercial AWS Regions outside of China) or --endpoint-url https://organizations.cn-northwest-1.amazonaws.com.cn (from AWS Regions in China) Use the default endpoint, but configure your default region with this command: aws configure set default.region us-east-1 (from commercial AWS Regions outside of China) or aws configure set default.region cn-northwest-1 (from AWS Regions in China) Use the following parameter with each command to specify the endpoint: --region us-east-1 (from commercial AWS Regions outside of China) or --region cn-northwest-1 (from AWS Regions in China) Recording API Requests AWS Organizations supports AWS CloudTrail, a service that records AWS API calls for your AWS account and delivers log files to an Amazon S3 bucket. By using information collected by AWS CloudTrail, you can determine which requests the Organizations service received, who made the request and when, and so on. For more about AWS Organizations and its support for AWS CloudTrail, see Logging AWS Organizations Events with AWS CloudTrail in the AWS Organizations User Guide. To learn more about AWS CloudTrail, including how to turn it on and find your log files, see the AWS CloudTrail User Guide.

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 across Amazon Web Services accounts and within your organization or organizational units (OUs) in Organizations. For supported resource types, you can also share resources with IAM roles and IAM users. If you have multiple Amazon Web Services accounts, you can use RAM to share those resources with other accounts. To learn more about RAM, see the following resources: Resource Access Manager product page Resource Access Manager User Guide

This is the Amazon Rekognition API reference.

Amazon Lightsail is the easiest way to get started with Amazon Web Services (AWS) for developers who need to build websites or web applications. It includes everything you need to launch your project quickly - instances (virtual private servers), container services, storage buckets, managed databases, SSD-based block storage, static IP addresses, load balancers, content delivery network (CDN) distributions, DNS management of registered domains, and resource snapshots (backups) - for a low, predictable monthly price. You can manage your Lightsail resources using the Lightsail console, Lightsail API, AWS Command Line Interface (AWS CLI), or SDKs. For more information about Lightsail concepts and tasks, see the Amazon Lightsail Developer Guide. This API Reference provides detailed information about the actions, data types, parameters, and errors of the Lightsail service. For more information about the supported AWS Regions, endpoints, and service quotas of the Lightsail service, see Amazon Lightsail Endpoints and Quotas in the AWS General Reference.

AWS Lake Formation Defines the public endpoint for the AWS Lake Formation service.

Storage Gateway Service Storage Gateway is the service that connects an on-premises software appliance with cloud-based storage to provide seamless and secure integration between an organization's on-premises IT environment and the Amazon Web Services storage infrastructure. The service enables you to securely upload data to the Cloud for cost effective backup and rapid disaster recovery. Use the following links to get started using the Storage Gateway Service API Reference : Storage Gateway required request headers : Describes the required headers that you must send with every POST request to Storage Gateway. Signing requests : Storage Gateway requires that you authenticate every request you send; this topic describes how sign such a request. Error responses : Provides reference information about Storage Gateway errors. Operations in Storage Gateway : Contains detailed descriptions of all Storage Gateway operations, their request parameters, response elements, possible errors, and examples of requests and responses. Storage Gateway endpoints and quotas : Provides a list of each Region and the endpoints available for use with Storage Gateway. Storage Gateway resource IDs are in uppercase. When you use these resource IDs with the Amazon EC2 API, EC2 expects resource IDs in lowercase. You must change your resource ID to lowercase to use it with the EC2 API. For example, in Storage Gateway the ID for a volume might be vol-AA22BB012345DAF670. When you use this ID with the EC2 API, you must change it to vol-aa22bb012345daf670. Otherwise, the EC2 API might not behave as expected. IDs for Storage Gateway volumes and Amazon EBS snapshots created from gateway volumes are changing to a longer format. Starting in December 2016, all new volumes and snapshots will be created with a 17-character string. Starting in April 2016, you will be able to use these longer IDs so you can test your systems with the new format. For more information, see Longer EC2 and EBS resource IDs. For example, a volume Amazon Resource Name (ARN) with the longer volume ID format looks like the following: arn:aws:storagegateway:us-west-2:111122223333:gateway/sgw-12A3456B/volume/vol-1122AABBCCDDEEFFG. A snapshot ID with the longer ID format looks like the following: snap-78e226633445566ee. For more information, see Announcement: Heads-up – Longer Storage Gateway volume and snapshot IDs coming in 2016.

The Compute Management Client.

The Azure SQL Database management API provides a RESTful set of web APIs that interact with Azure SQL Database services to manage your databases. The API enables users to create, retrieve, update, and delete databases, servers, and other entities.

This Swagger was generated by the API Framework.

Azure Bot Service is a platform for creating smart conversational agents.

REST API for MarketplaceOrdering Agreements.

The AAD Domain Services API.

This Swagger was generated by the API Framework.

The Microsoft Azure management API provides create, read, update, and delete functionality for Azure MySQL resources including servers, databases, firewall rules, VNET rules, security alert policies, log files and configurations with new business model.

This API describe ACE Provisioning ManagementPartner

The Container Service Client.