Amazon Prometheus Service
Amazon Managed Service for Prometheus
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Ordered by reported HTTPS, CORS support, no-auth access, then changed/observed facts. Access signals are not a popularity or quality score.
Amazon Managed Service for Prometheus
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The control plane for Amazon QLDB
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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. 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 SendCommand API 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 .
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Amazon QuickSight API Reference 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.
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Amazon Redshift 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 Develo
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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 CompareFaces CreateCollection DeleteCollection DeleteFaces DescribeCollection DetectFaces DetectLabels DetectModerationLabels DetectProtectiveEquipment DetectText GetCelebrityInfo IndexFaces ListCollections ListFaces RecognizeCelebrities SearchFaces SearchFacesByImage Amazon Rekognition Custom Labels CopyProjectVersion CreateDataset CreateProject CreateProjectVersion DeleteDataset DeleteProject DeleteProjectPolicy DeleteProjectVersion DescribeDataset DescribeProjects DescribeProjectVersions DetectCustomLabels DistributeDatasetEntries ListDatasetEntries ListDatasetLabels ListProjectPolicies PutProjectPolicy StartProjectVersion StopProjectVersion UpdateDatasetEntries Amazon Rekognition Video Stored Video GetCelebrityRecognition GetContentModeration GetFaceDetection GetFaceSearch GetLabelDetection GetPersonTracking GetSegmentDetection GetTextDetection StartCelebrityRecognition StartContentModeration StartFaceDetect
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Amazon Relational Database Service 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 ma
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Amazon Route 53 is a highly available and scalable Domain Name System (DNS) web service. You can use Route 53 to: Register domain names. For more information, see How domain registration works . Route internet traffic to the resources for your domain For more information, see How internet traffic is routed to your website or web application . Check the health of your resources. For more information, see How Route 53 checks the health of your resources .
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Amazon Route 53 API actions let you register domain names and perform related operations.
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When you create a VPC using Amazon VPC, you automatically get DNS resolution within the VPC from Route 53 Resolver. By default, Resolver answers DNS queries for VPC domain names such as domain names for EC2 instances or Elastic Load Balancing load balancers. Resolver performs recursive lookups against public name servers for all other domain names. You can also configure DNS resolution between your VPC and your network over a Direct Connect or VPN connection: Forward DNS queries from resolvers on your network to Route 53 Resolver DNS resolvers on your network can forward DNS queries to Resolver in a specified VPC. This allows your DNS resolvers to easily resolve domain names for Amazon Web Services resources such as EC2 instances or records in a Route 53 private hosted zone. For more information, see How DNS Resolvers on Your Network Forward DNS Queries to Route 53 Resolver in the Amazon Route 53 Developer Guide . Conditionally forward queries from a VPC to resolvers on your network You can configure Resolver to forward queries that it receives from EC2 instances in your VPCs to DNS resolvers on your network. To forward selected queries, you create Resolver rules that specify the d
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Amazon S3 on Outposts provides access to S3 on Outposts operations.
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SageMaker Edge Manager dataplane service for communicating with active agents.
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Contains all data plane API operations and data types for the Amazon SageMaker Feature Store. Use this API to put, delete, and retrieve (get) features from a feature store. Use the following operations to configure your OnlineStore and OfflineStore features, and to create and manage feature groups: CreateFeatureGroup DeleteFeatureGroup DescribeFeatureGroup ListFeatureGroups
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The Amazon SageMaker runtime API.
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Provides APIs for creating and managing SageMaker resources. Other Resources: SageMaker Developer Guide Amazon Augmented AI Runtime API Reference
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Amazon Simple Email Service This document contains reference information for the Amazon Simple Email Service (Amazon SES) API, version 2010-12-01. This document is best used in conjunction with the Amazon SES Developer Guide . For a list of Amazon SES endpoints to use in service requests, see Regions and Amazon SES in the Amazon SES Developer Guide .
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Amazon SES API v2 Amazon SES is an Amazon Web Services service that you can use to send email messages to your customers. If you're new to Amazon SES API v2, you might find it helpful to review the Amazon Simple Email Service Developer Guide . The Amazon SES Developer Guide provides information and code samples that demonstrate how to use Amazon SES API v2 features programmatically.
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Amazon Simple Notification Service Amazon Simple Notification Service (Amazon SNS) is a web service that enables you to build distributed web-enabled applications. Applications can use Amazon SNS to easily push real-time notification messages to interested subscribers over multiple delivery protocols. For more information about this product see the Amazon SNS product page . For detailed information about Amazon SNS features and their associated API calls, see the Amazon SNS Developer Guide . For information on the permissions you need to use this API, see Identity and access management in Amazon SNS in the Amazon SNS Developer Guide. We also provide SDKs that enable you to access Amazon SNS from your preferred programming language. The SDKs contain functionality that automatically takes care of tasks such as: cryptographically signing your service requests, retrying requests, and handling error responses. For a list of available SDKs, go to Tools for Amazon Web Services .
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Welcome to the Amazon SQS API Reference . Amazon SQS is a reliable, highly-scalable hosted queue for storing messages as they travel between applications or microservices. Amazon SQS moves data between distributed application components and helps you decouple these components. For information on the permissions you need to use this API, see Identity and access management in the Amazon SQS Developer Guide. You can use Amazon Web Services SDKs to access Amazon SQS using your favorite programming language. The SDKs perform tasks such as the following automatically: Cryptographically sign your service requests Retry requests Handle error responses Additional information Amazon SQS Product Page Amazon SQS Developer Guide Making API Requests Amazon SQS Message Attributes Amazon SQS Dead-Letter Queues Amazon SQS in the Command Line Interface Amazon Web Services General Reference Regions and Endpoints
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Amazon Simple Storage Service: API definition published in the OpenAPI directory for amazonaws.com. See the linked specification for supported operations.
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Amazon Web Services Systems Manager is the operations hub for your Amazon Web Services applications and resources and a secure end-to-end management solution for hybrid cloud environments that enables safe and secure operations at scale. This reference is intended to be used with the Amazon Web Services Systems Manager User Guide . To get started, see Setting up Amazon Web Services Systems Manager . Related resources For information about each of the capabilities that comprise Systems Manager, see Systems Manager capabilities in the Amazon Web Services Systems Manager User Guide . For details about predefined runbooks for Automation, a capability of Amazon Web Services Systems Manager, see the Systems Manager Automation runbook reference . For information about AppConfig, a capability of Systems Manager, see the AppConfig User Guide and the AppConfig API Reference . For information about Incident Manager, a capability of Systems Manager, see the Systems Manager Incident Manager User Guide and the Systems Manager Incident Manager API Reference .
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Amazon Simple Workflow Service The Amazon Simple Workflow Service (Amazon SWF) makes it easy to build applications that use Amazon's cloud to coordinate work across distributed components. In Amazon SWF, a task represents a logical unit of work that is performed by a component of your workflow. Coordinating tasks in a workflow involves managing intertask dependencies, scheduling, and concurrency in accordance with the logical flow of the application. Amazon SWF gives you full control over implementing tasks and coordinating them without worrying about underlying complexities such as tracking their progress and maintaining their state. This documentation serves as reference only. For a broader overview of the Amazon SWF programming model, see the Amazon SWF Developer Guide .
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Amazon SimpleDB is a web service providing the core database functions of data indexing and querying in the cloud. By offloading the time and effort associated with building and operating a web-scale database, SimpleDB provides developers the freedom to focus on application development. A traditional, clustered relational database requires a sizable upfront capital outlay, is complex to design, and often requires extensive and repetitive database administration. Amazon SimpleDB is dramatically simpler, requiring no schema, automatically indexing your data and providing a simple API for storage and access. This approach eliminates the administrative burden of data modeling, index maintenance, and performance tuning. Developers gain access to this functionality within Amazon's proven computing environment, are able to scale instantly, and pay only for what they use. Visit http://aws.amazon.com/simpledb/ for more information.
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Amazon Textract detects and analyzes text in documents and converts it into machine-readable text. This is the API reference documentation for Amazon Textract.
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