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.
This is the Global Accelerator API Reference. This guide is for developers who need detailed information about Global Accelerator API actions, data types, and errors. For more information about Global Accelerator features, see the Global Accelerator Developer Guide.
Global Accelerator is a service in which you create accelerators to improve the performance of your applications for local and global users. Depending on the type of accelerator you choose, you can gain additional benefits.
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By using a standard accelerator, you can improve availability of your internet applications that are used by a global audience. With a standard accelerator, Global Accelerator directs traffic to optimal endpoints over the Amazon Web Services global network.
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For other scenarios, you might choose a custom routing accelerator. With a custom routing accelerator, you can use application logic to directly map one or more users to a specific endpoint among many endpoints.
Global Accelerator is a global service that supports endpoints in multiple Amazon Web Services Regions but you must specify the US West (Oregon) Region to create, update, or otherwise work with accelerators. That is, for example, specify --region us-west-2 on AWS CLI commands.
By default, Global Accelerator provides you with static IP addresses that you associate with your accelerator. The static IP addresses are anycast from the Amazon Web Services edge network. For IPv4, Global Accelerator provides two static IPv4 addresses. For dual-stack, Global Accelerator provides a total of four addresses: two static IPv4 addresses and two static IPv6 addresses. With a standard accelerator for IPv4, instead of using the addresses that Global Accelerator provides, you can configure these entry points to be IPv4 addresses from your own IP address ranges that you bring toGlobal Accelerator (BYOIP).
For a standard accelerator, they distribute incoming application traffic across multiple endpoint resources in multiple Amazon Web Services Regions , which increases the availability of your applications. Endpoints for standard accelerators can be Network Load Balancers, Application Load Balancers, Amazon EC2 instances, or Elastic IP addresses that are located in one Amazon Web Services Region or multiple Amazon Web Services Regions. For custom routing accelerators, you map traffic that arrives to the static IP addresses to specific Amazon EC2 servers in endpoints that are virtual private cloud (VPC) subnets.
The static IP addresses remain assigned to your accelerator for as long as it exists, even if you disable the accelerator and it no longer accepts or routes traffic. However, when you delete an accelerator, you lose the static IP addresses that are assigned to it, so you can no longer route traffic by using them. You can use IAM policies like tag-based permissions with Global Accelerator to limit the users who have permissions to delete an accelerator. For more information, see Tag-based policies.
For standard accelerators, Global Accelerator uses the Amazon Web Services global network to route traffic to the optimal regional endpoint based on health, client location, and policies that you configure. The service reacts instantly to changes in health or configuration to ensure that internet traffic from clients is always directed to healthy endpoints.
For more information about understanding and using Global Accelerator, see the Global Accelerator Developer Guide.
Defines the public endpoint for the Glue service.
AWS IoT Greengrass seamlessly extends AWS onto physical devices so they can act locally on the data they generate, while still using the cloud for management, analytics, and durable storage. AWS IoT Greengrass ensures your devices can respond quickly to local events and operate with intermittent connectivity. AWS IoT Greengrass minimizes the cost of transmitting data to the cloud by allowing you to author AWS Lambda functions that execute locally.
IoT Greengrass brings local compute, messaging, data management, sync, and ML inference capabilities to edge devices. This enables devices to collect and analyze data closer to the source of information, react autonomously to local events, and communicate securely with each other on local networks. Local devices can also communicate securely with Amazon Web Services IoT Core and export IoT data to the Amazon Web Services Cloud. IoT Greengrass developers can use Lambda functions and components to create and deploy applications to fleets of edge devices for local operation.
IoT Greengrass Version 2 provides a new major version of the IoT Greengrass Core software, new APIs, and a new console. Use this API reference to learn how to use the IoT Greengrass V2 API operations to manage components, manage deployments, and core devices.
For more information, see What is IoT Greengrass? in the IoT Greengrass V2 Developer Guide.
Welcome to the AWS Ground Station API Reference. AWS Ground Station is a fully managed service that enables you to control satellite communications, downlink and process satellite data, and scale your satellite operations efficiently and cost-effectively without having to build or manage your own ground station infrastructure.
Amazon GuardDuty is a continuous security monitoring service that analyzes and processes the following data sources: VPC flow logs, Amazon Web Services CloudTrail management event logs, CloudTrail S3 data event logs, EKS audit logs, DNS logs, and Amazon EBS volume data. It uses threat intelligence feeds, such as lists of malicious IPs and domains, and machine learning to identify unexpected, potentially unauthorized, and malicious activity within your Amazon Web Services environment. This can include issues like escalations of privileges, uses of exposed credentials, or communication with malicious IPs, domains, or presence of malware on your Amazon EC2 instances and container workloads. For example, GuardDuty can detect compromised EC2 instances and container workloads serving malware, or mining bitcoin.
GuardDuty also monitors Amazon Web Services account access behavior for signs of compromise, such as unauthorized infrastructure deployments like EC2 instances deployed in a Region that has never been used, or unusual API calls like a password policy change to reduce password strength.
GuardDuty informs you about the status of your Amazon Web Services environment by producing security findings that you can view in the GuardDuty console or through Amazon EventBridge. For more information, see the Amazon GuardDuty User Guide .