A load balancer distributes incoming traffic across targets, such as your EC2 instances. This enables you to increase the availability of your application. The load balancer also monitors the health of its registered targets and ensures that it routes traffic only to healthy targets. You configure your load balancer to accept incoming traffic by specifying one or more listeners, which are configured with a protocol and port number for connections from clients to the load balancer. You configure a target group with a protocol and port number for connections from the load balancer to the targets, and with health check settings to be used when checking the health status of the targets.
Elastic Load Balancing supports the following types of load balancers: Application Load Balancers, Network Load Balancers, Gateway Load Balancers, and Classic Load Balancers. This reference covers the following load balancer types:
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Application Load Balancer - Operates at the application layer (layer 7) and supports HTTP and HTTPS.
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Network Load Balancer - Operates at the transport layer (layer 4) and supports TCP, TLS, and UDP.
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Gateway Load Balancer - Operates at the network layer (layer 3).
For more information, see the Elastic Load Balancing User Guide.
All Elastic Load Balancing operations are idempotent, which means that they complete at most one time. If you repeat an operation, it succeeds.
Amazon EMR is a web service that makes it easier to process large amounts of data efficiently. Amazon EMR uses Hadoop processing combined with several Amazon Web Services services to do tasks such as web indexing, data mining, log file analysis, machine learning, scientific simulation, and data warehouse management.
The AWS Elastic Transcoder 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.
Amazon EMR on EKS provides a deployment option for Amazon EMR that allows you to run open-source big data frameworks on Amazon Elastic Kubernetes Service (Amazon EKS). With this deployment option, you can focus on running analytics workloads while Amazon EMR on EKS builds, configures, and manages containers for open-source applications. For more information about Amazon EMR on EKS concepts and tasks, see What is shared id="EMR-EKS"/>.
Amazon EMR containers is the API name for Amazon EMR on EKS. The emr-containers prefix is used in the following scenarios:
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It is the prefix in the CLI commands for Amazon EMR on EKS. For example,
aws emr-containers start-job-run. -
It is the prefix before IAM policy actions for Amazon EMR on EKS. For example,
"Action": [ "emr-containers:StartJobRun"]. For more information, see Policy actions for Amazon EMR on EKS. -
It is the prefix used in Amazon EMR on EKS service endpoints. For example,
emr-containers.us-east-2.amazonaws.com. For more information, see Amazon EMR on EKSService Endpoints.
This reference provides descriptions of the AWS Marketplace Entitlement Service API.
AWS Marketplace Entitlement Service is used to determine the entitlement of a customer to a given product. An entitlement represents capacity in a product owned by the customer. For example, a customer might own some number of users or seats in an SaaS application or some amount of data capacity in a multi-tenant database.
Getting Entitlement Records
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GetEntitlements- Gets the entitlements for a Marketplace product.
Use the Amazon Elasticsearch Configuration API to create, configure, and manage Elasticsearch domains.
For sample code that uses the Configuration API, see the Amazon Elasticsearch Service Developer Guide. The guide also contains sample code for sending signed HTTP requests to the Elasticsearch APIs.
The endpoint for configuration service requests is region-specific: es.region.amazonaws.com. For example, es.us-east-1.amazonaws.com. For a current list of supported regions and endpoints, see Regions and Endpoints.
Amazon EventBridge helps you to respond to state changes in your Amazon Web Services resources. When your resources change state, they automatically send events to an event stream. You can create rules that match selected events in the stream and route them to targets to take action. You can also use rules to take action on a predetermined schedule. For example, you can configure rules to:
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Automatically invoke an Lambda function to update DNS entries when an event notifies you that Amazon EC2 instance enters the running state.
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Direct specific API records from CloudTrail to an Amazon Kinesis data stream for detailed analysis of potential security or availability risks.
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Periodically invoke a built-in target to create a snapshot of an Amazon EBS volume.
For more information about the features of Amazon EventBridge, see the Amazon EventBridge User Guide.
Amazon EventBridge helps you to respond to state changes in your Amazon Web Services resources. When your resources change state, they automatically send events to an event stream. You can create rules that match selected events in the stream and route them to targets to take action. You can also use rules to take action on a predetermined schedule. For example, you can configure rules to:
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Automatically invoke an Lambda function to update DNS entries when an event notifies you that Amazon EC2 instance enters the running state.
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Direct specific API records from CloudTrail to an Amazon Kinesis data stream for detailed analysis of potential security or availability risks.
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Periodically invoke a built-in target to create a snapshot of an Amazon EBS volume.
For more information about the features of Amazon EventBridge, see the Amazon EventBridge User Guide.
The FinSpace management service provides the APIs for managing FinSpace environments.
The FinSpace APIs let you take actions inside the FinSpace.
Amazon Kinesis Data Firehose is a fully managed service that delivers real-time streaming data to destinations such as Amazon Simple Storage Service (Amazon S3), Amazon OpenSearch Service, Amazon Redshift, Splunk, and various other supportd destinations.
Fault Injection Simulator is a managed service that enables you to perform fault injection experiments on your Amazon Web Services workloads. For more information, see the Fault Injection Simulator User Guide.
This is the Firewall Manager API Reference. This guide is for developers who need detailed information about the Firewall Manager API actions, data types, and errors. For detailed information about Firewall Manager features, see the Firewall Manager Developer Guide.
Some API actions require explicit resource permissions. For information, see the developer guide topic Service roles for Firewall Manager.
Provides APIs for creating and managing Amazon Forecast resources.
Provides APIs for creating and managing Amazon Forecast resources.
This is the Amazon Fraud Detector API Reference. This guide is for developers who need detailed information about Amazon Fraud Detector API actions, data types, and errors. For more information about Amazon Fraud Detector features, see the Amazon Fraud Detector User Guide.
We provide the Query API as well as AWS software development kits (SDK) for Amazon Fraud Detector in Java and Python programming languages.
The Amazon Fraud Detector Query API provides HTTPS requests that use the HTTP verb GET or POST and a Query parameter Action. AWS SDK provides libraries, sample code, tutorials, and other resources for software developers who prefer to build applications using language-specific APIs instead of submitting a request over HTTP or HTTPS. These libraries provide basic functions that automatically take care of tasks such as cryptographically signing your requests, retrying requests, and handling error responses, so that it is easier for you to get started. For more information about the AWS SDKs, see Tools to build on AWS.
Amazon FSx is a fully managed service that makes it easy for storage and application administrators to launch and use shared file storage.
Amazon GameLift provides solutions for hosting session-based multiplayer game servers in the cloud, including tools for deploying, operating, and scaling game servers. Built on Amazon Web Services global computing infrastructure, GameLift helps you deliver high-performance, high-reliability, low-cost game servers while dynamically scaling your resource usage to meet player demand.
About Amazon GameLift solutions
Get more information on these Amazon GameLift solutions in the Amazon GameLift Developer Guide.
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Amazon GameLift managed hosting -- Amazon GameLift offers a fully managed service to set up and maintain computing machines for hosting, manage game session and player session life cycle, and handle security, storage, and performance tracking. You can use automatic scaling tools to balance player demand and hosting costs, configure your game session management to minimize player latency, and add FlexMatch for matchmaking.
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Managed hosting with Realtime Servers -- With Amazon GameLift Realtime Servers, you can quickly configure and set up ready-to-go game servers for your game. Realtime Servers provides a game server framework with core Amazon GameLift infrastructure already built in. Then use the full range of Amazon GameLift managed hosting features, including FlexMatch, for your game.
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Amazon GameLift FleetIQ -- Use Amazon GameLift FleetIQ as a standalone service while hosting your games using EC2 instances and Auto Scaling groups. Amazon GameLift FleetIQ provides optimizations for game hosting, including boosting the viability of low-cost Spot Instances gaming. For a complete solution, pair the Amazon GameLift FleetIQ and FlexMatch standalone services.
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Amazon GameLift FlexMatch -- Add matchmaking to your game hosting solution. FlexMatch is a customizable matchmaking service for multiplayer games. Use FlexMatch as integrated with Amazon GameLift managed hosting or incorporate FlexMatch as a standalone service into your own hosting solution.
About this API Reference
This reference guide describes the low-level service API for Amazon GameLift. With each topic in this guide, you can find links to language-specific SDK guides and the Amazon Web Services CLI reference. Useful links:
Amazon S3 Glacier (Glacier) is a storage solution for "cold data."
Glacier is an extremely low-cost storage service that provides secure, durable, and easy-to-use storage for data backup and archival. With Glacier, customers can store their data cost effectively for months, years, or decades. Glacier also enables customers to offload the administrative burdens of operating and scaling storage to AWS, so they don't have to worry about capacity planning, hardware provisioning, data replication, hardware failure and recovery, or time-consuming hardware migrations.
Glacier is a great storage choice when low storage cost is paramount and your data is rarely retrieved. If your application requires fast or frequent access to your data, consider using Amazon S3. For more information, see Amazon Simple Storage Service (Amazon S3).
You can store any kind of data in any format. There is no maximum limit on the total amount of data you can store in Glacier.
If you are a first-time user of Glacier, we recommend that you begin by reading the following sections in the Amazon S3 Glacier Developer Guide:
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What is Amazon S3 Glacier - This section of the Developer Guide describes the underlying data model, the operations it supports, and the AWS SDKs that you can use to interact with the service.
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Getting Started with Amazon S3 Glacier - The Getting Started section walks you through the process of creating a vault, uploading archives, creating jobs to download archives, retrieving the job output, and deleting archives.