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AWS Firewall Manager

This is the AWS Firewall Manager API Reference. This guide is for developers who need detailed information about the AWS Firewall Manager API actions, data types, and errors. For detailed information about AWS Firewall Manager features, see the AWS Firewall Manager Developer Guide.

Amazon GameLift Service

Amazon GameLift is a managed service for developers who need a scalable, dedicated server solution for their multiplayer games. Use Amazon GameLift for these tasks: (1) set up computing resources and deploy your game servers, (2) run game sessions and get players into games, (3) automatically scale your resources to meet player demand and manage costs, and (4) track in-depth metrics on game server performance and player usage.

The Amazon GameLift service API includes two important function sets:

  • Manage game sessions and player access -- Retrieve information on available game sessions; create new game sessions; send player requests to join a game session.

  • Configure and manage game server resources -- Manage builds, fleets, queues, and aliases; set auto-scaling policies; retrieve logs and metrics.

This reference guide describes the low-level service API for Amazon GameLift. You can use the API functionality with these tools:

  • The Amazon Web Services software development kit (AWS SDK) is available in multiple languages including C++ and C#. Use the SDK to access the API programmatically from an application, such as a game client.

  • The AWS command-line interface (CLI) tool is primarily useful for handling administrative actions, such as setting up and managing Amazon GameLift settings and resources. You can use the AWS CLI to manage all of your AWS services.

  • The AWS Management Console for Amazon GameLift provides a web interface to manage your Amazon GameLift settings and resources. The console includes a dashboard for tracking key resources, including builds and fleets, and displays usage and performance metrics for your games as customizable graphs.

  • Amazon GameLift Local is a tool for testing your game's integration with Amazon GameLift before deploying it on the service. This tools supports a subset of key API actions, which can be called from either the AWS CLI or programmatically. See Testing an Integration.

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This list offers a functional overview of the Amazon GameLift service API.

Managing Games and Players

Use these actions to start new game sessions, find existing game sessions, track game session status and other information, and enable player access to game sessions.

  • Discover existing game sessions

    • SearchGameSessions -- Retrieve all available game sessions or search for game sessions that match a set of criteria.

  • Start new game sessions

    • Start new games with Queues to find the best available hosting resources across multiple regions, minimize player latency, and balance game session activity for efficiency and cost effectiveness.

    • CreateGameSession -- Start a new game session on a specific fleet. Available in Amazon GameLift Local.

  • Match players to game sessions with FlexMatch matchmaking

    • StartMatchmaking -- Request matchmaking for one players or a group who want to play together.

    • StartMatchBackfill - Request additional player matches to fill empty slots in an existing game session.

    • DescribeMatchmaking -- Get details on a matchmaking request, including status.

    • AcceptMatch -- Register that a player accepts a proposed match, for matches that require player acceptance.

    • StopMatchmaking -- Cancel a matchmaking request.

  • Manage game session data

    • DescribeGameSessions -- Retrieve metadata for one or more game sessions, including length of time active and current player count. Available in Amazon GameLift Local.

    • DescribeGameSessionDetails -- Retrieve metadata and the game session protection setting for one or more game sessions.

    • UpdateGameSession -- Change game session settings, such as maximum player count and join policy.

    • GetGameSessionLogUrl -- Get the location of saved logs for a game session.

  • Manage player sessions

    • CreatePlayerSession -- Send a request for a player to join a game session. Available in Amazon GameLift Local.

    • CreatePlayerSessions -- Send a request for multiple players to join a game session. Available in Amazon GameLift Local.

    • DescribePlayerSessions -- Get details on player activity, including status, playing time, and player data. Available in Amazon GameLift Local.

Setting Up and Managing Game Servers

When setting up Amazon GameLift resources for your game, you first create a game build and upload it to Amazon GameLift. You can then use these actions to configure and manage a fleet of resources to run your game servers, scale capacity to meet player demand, access performance and utilization metrics, and more.

Amazon Glacier is a storage solution for "cold data."

Amazon Glacier is an extremely low-cost storage service that provides secure, durable, and easy-to-use storage for data backup and archival. With Amazon Glacier, customers can store their data cost effectively for months, years, or decades. Amazon 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.

Amazon 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 Amazon Glacier.

If you are a first-time user of Amazon Glacier, we recommend that you begin by reading the following sections in the Amazon Glacier Developer Guide:

  • What is Amazon 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.

  • Getting Started with Amazon 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.

AWS Glue

Defines the public endpoint for the AWS Glue service.

AWS 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 Greengrass ensures your devices can respond quickly to local events and operate with intermittent connectivity. AWS Greengrass minimizes the cost of transmitting data to the cloud by allowing you to author AWS Lambda functions that execute locally.

Assess, monitor, manage, and remediate security issues across your AWS infrastructure, applications, and data.

AWS Health

The AWS Health API provides programmatic access to the AWS Health information that is presented in the AWS Personal Health Dashboard. You can get information about events that affect your AWS resources:

In addition, these operations provide information about event types and summary counts of events or affected entities:

The Health API requires a Business or Enterprise support plan from AWS Support. Calling the Health API from an account that does not have a Business or Enterprise support plan causes a SubscriptionRequiredException.

For authentication of requests, AWS Health uses the Signature Version 4 Signing Process.

See the AWS Health User Guide for information about how to use the API.

Service Endpoint

The HTTP endpoint for the AWS Health API is:

  • https://health.us-east-1.amazonaws.com

AWS Identity and Access Management

AWS Identity and Access Management (IAM) is a web service that you can use to manage users and user permissions under your AWS account. This guide provides descriptions of IAM actions that you can call programmatically. For general information about IAM, see AWS Identity and Access Management (IAM). For the user guide for IAM, see Using IAM.

AWS provides SDKs that consist of libraries and sample code for various programming languages and platforms (Java, Ruby, .NET, iOS, Android, etc.). The SDKs provide a convenient way to create programmatic access to IAM and AWS. For example, the SDKs take care of tasks such as cryptographically signing requests (see below), managing errors, and retrying requests automatically. For information about the AWS SDKs, including how to download and install them, see the Tools for Amazon Web Services page.

We recommend that you use the AWS SDKs to make programmatic API calls to IAM. However, you can also use the IAM Query API to make direct calls to the IAM web service. To learn more about the IAM Query API, see Making Query Requests in the Using IAM guide. IAM supports GET and POST requests for all actions. That is, the API does not require you to use GET for some actions and POST for others. However, GET requests are subject to the limitation size of a URL. Therefore, for operations that require larger sizes, use a POST request.

Signing Requests

Requests must be signed using an access key ID and a secret access key. We strongly recommend that you do not use your AWS account access key ID and secret access key for everyday work with IAM. You can use the access key ID and secret access key for an IAM user or you can use the AWS Security Token Service to generate temporary security credentials and use those to sign requests.

To sign requests, we recommend that you use Signature Version 4. If you have an existing application that uses Signature Version 2, you do not have to update it to use Signature Version 4. However, some operations now require Signature Version 4. The documentation for operations that require version 4 indicate this requirement.

Additional Resources

For more information, see the following:

  • AWS Security Credentials. This topic provides general information about the types of credentials used for accessing AWS.

  • IAM Best Practices. This topic presents a list of suggestions for using the IAM service to help secure your AWS resources.

  • Signing AWS API Requests. This set of topics walk you through the process of signing a request using an access key ID and secret access key.

AWS Import/Export Service AWS Import/Export accelerates transferring large amounts of data between the AWS cloud and portable storage devices that you mail to us. AWS Import/Export transfers data directly onto and off of your storage devices using Amazon's high-speed internal network and bypassing the Internet. For large data sets, AWS Import/Export is often faster than Internet transfer and more cost effective than upgrading your connectivity.

Amazon Inspector

Amazon Inspector enables you to analyze the behavior of your AWS resources and to identify potential security issues. For more information, see Amazon Inspector User Guide.


AWS IoT provides secure, bi-directional communication between Internet-connected devices (such as sensors, actuators, embedded devices, or smart appliances) and the AWS cloud. You can discover your custom IoT-Data endpoint to communicate with, configure rules for data processing and integration with other services, organize resources associated with each device (Registry), configure logging, and create and manage policies and credentials to authenticate devices.

For more information about how AWS IoT works, see the Developer Guide.

For information about how to use the credentials provider for AWS IoT, see Authorizing Direct Calls to AWS Services.


AWS IoT-Data enables secure, bi-directional communication between Internet-connected things (such as sensors, actuators, embedded devices, or smart appliances) and the AWS cloud. It implements a broker for applications and things to publish messages over HTTP (Publish) and retrieve, update, and delete thing shadows. A thing shadow is a persistent representation of your things and their state in the AWS cloud.

AWS IoT Jobs is a service that allows you to define a set of jobs — remote operations that are sent to and executed on one or more devices connected to AWS IoT. For example, you can define a job that instructs a set of devices to download and install application or firmware updates, reboot, rotate certificates, or perform remote troubleshooting operations.

To create a job, you make a job document which is a description of the remote operations to be performed, and you specify a list of targets that should perform the operations. The targets can be individual things, thing groups or both.

AWS IoT Jobs sends a message to inform the targets that a job is available. The target starts the execution of the job by downloading the job document, performing the operations it specifies, and reporting its progress to AWS IoT. The Jobs service provides commands to track the progress of a job on a specific target and for all the targets of the job

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The AWS IoT 1-Click Project API Reference

AWS IoT Analytics allows you to collect large amounts of device data, process messages, and store them. You can then query the data and run sophisticated analytics on it. AWS IoT Analytics enables advanced data exploration through integration with Jupyter Notebooks and data visualization through integration with Amazon QuickSight.

Traditional analytics and business intelligence tools are designed to process structured data. IoT data often comes from devices that record noisy processes (such as temperature, motion, or sound). As a result the data from these devices can have significant gaps, corrupted messages, and false readings that must be cleaned up before analysis can occur. Also, IoT data is often only meaningful in the context of other data from external sources.

AWS IoT Analytics automates the steps required to analyze data from IoT devices. AWS IoT Analytics filters, transforms, and enriches IoT data before storing it in a time-series data store for analysis. You can set up the service to collect only the data you need from your devices, apply mathematical transforms to process the data, and enrich the data with device-specific metadata such as device type and location before storing it. Then, you can analyze your data by running queries using the built-in SQL query engine, or perform more complex analytics and machine learning inference. AWS IoT Analytics includes pre-built models for common IoT use cases so you can answer questions like which devices are about to fail or which customers are at risk of abandoning their wearable devices.

Amazon Kinesis Data Streams Service API Reference

Amazon Kinesis Data Streams is a managed service that scales elastically for real-time processing of streaming big data.

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