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OpenAPI Directory | Cenit Admin

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Amazon API Gateway

Amazon API Gateway helps developers deliver robust, secure, and scalable mobile and web application back ends. API Gateway allows developers to securely connect mobile and web applications to APIs that run on AWS Lambda, Amazon EC2, or other publicly addressable web services that are hosted outside of AWS.

The Amazon API Gateway Management API allows you to directly manage runtime aspects of your deployed APIs. To use it, you must explicitly set the SDK's endpoint to point to the endpoint of your deployed API. The endpoint will be of the form https://{api-id}.execute-api.{region}.amazonaws.com/{stage}, or will be the endpoint corresponding to your API's custom domain and base path, if applicable.

Amazon API Gateway V2

With Application Auto Scaling, you can configure automatic scaling for your scalable resources. You can use Application Auto Scaling to accomplish the following tasks:

  • Define scaling policies to automatically scale your AWS or custom resources

  • Scale your resources in response to CloudWatch alarms

  • Schedule one-time or recurring scaling actions

  • View the history of your scaling events

Application Auto Scaling can scale the following resources:

To learn more about Application Auto Scaling, see the Application Auto Scaling User Guide.

To configure automatic scaling for multiple resources across multiple services, use AWS Auto Scaling to create a scaling plan for your application. For more information, see the AWS Auto Scaling User Guide.

AWS App Mesh is a service mesh based on the Envoy proxy that makes it easy to monitor and control containerized microservices. App Mesh standardizes how your microservices communicate, giving you end-to-end visibility and helping to ensure high-availability for your applications.

App Mesh gives you consistent visibility and network traffic controls for every microservice in an application. You can use App Mesh with Amazon ECS (using the Amazon EC2 launch type), Amazon EKS, and Kubernetes on AWS.

App Mesh supports containerized microservice applications that use service discovery naming for their components. To use App Mesh, you must have a containerized application running on Amazon EC2 instances, hosted in either Amazon ECS, Amazon EKS, or Kubernetes on AWS. For more information about service discovery on Amazon ECS, see Service Discovery in the Amazon Elastic Container Service Developer Guide. Kubernetes kube-dns is supported. For more information, see DNS for Services and Pods in the Kubernetes documentation.

Amazon AppStream 2.0

This is the Amazon AppStream 2.0 API Reference. It provides descriptions and syntax for each of the actions and data types in AppStream 2.0. AppStream 2.0 is a fully managed application streaming service. You centrally manage your desktop applications on AppStream 2.0 and securely deliver them to any computer. AppStream 2.0 manages the AWS resources required to host and run your applications, scales automatically, and provides access to your users on demand.

To learn more about AppStream 2.0, see the following resources:

AWS AppSync provides API actions for creating and interacting with data sources using GraphQL from your application.

Amazon Athena is an interactive query service that lets you use standard SQL to analyze data directly in Amazon S3. You can point Athena at your data in Amazon S3 and run ad-hoc queries and get results in seconds. Athena is serverless, so there is no infrastructure to set up or manage. You pay only for the queries you run. Athena scales automatically—executing queries in parallel—so results are fast, even with large datasets and complex queries. For more information, see What is Amazon Athena in the Amazon Athena User Guide.

If you connect to Athena using the JDBC driver, use version 1.1.0 of the driver or later with the Amazon Athena API. Earlier version drivers do not support the API. For more information and to download the driver, see Accessing Amazon Athena with JDBC.

For code samples using the AWS SDK for Java, see Examples and Code Samples in the Amazon Athena User Guide.

Amazon EC2 Auto Scaling

Amazon EC2 Auto Scaling is designed to automatically launch or terminate EC2 instances based on user-defined policies, schedules, and health checks. Use this service with AWS Auto Scaling, Amazon CloudWatch, and Elastic Load Balancing.

For more information, see the Amazon EC2 Auto Scaling User Guide.

AWS Auto Scaling

Use AWS Auto Scaling to quickly discover all the scalable AWS resources for your application and configure dynamic scaling and predictive scaling for your resources using scaling plans. Use this service in conjunction with the Amazon EC2 Auto Scaling, Application Auto Scaling, Amazon CloudWatch, and AWS CloudFormation services.

Currently, predictive scaling is only available for Amazon EC2 Auto Scaling groups.

For more information about AWS Auto Scaling, see the AWS Auto Scaling User Guide.

AWS Backup

AWS Backup is a unified backup service designed to protect AWS services and their associated data. AWS Backup simplifies the creation, migration, restoration, and deletion of backups, while also providing reporting and auditing.

AWS Batch enables you to run batch computing workloads on the AWS Cloud. Batch computing is a common way for developers, scientists, and engineers to access large amounts of compute resources, and AWS Batch removes the undifferentiated heavy lifting of configuring and managing the required infrastructure. AWS Batch will be familiar to users of traditional batch computing software. This service can efficiently provision resources in response to jobs submitted in order to eliminate capacity constraints, reduce compute costs, and deliver results quickly.

As a fully managed service, AWS Batch enables developers, scientists, and engineers to run batch computing workloads of any scale. AWS Batch automatically provisions compute resources and optimizes the workload distribution based on the quantity and scale of the workloads. With AWS Batch, there is no need to install or manage batch computing software, which allows you to focus on analyzing results and solving problems. AWS Batch reduces operational complexities, saves time, and reduces costs, which makes it easy for developers, scientists, and engineers to run their batch jobs in the AWS Cloud.

The AWS Budgets API enables you to use AWS Budgets to plan your service usage, service costs, and instance reservations. The API reference provides descriptions, syntax, and usage examples for each of the actions and data types for AWS Budgets.

Budgets provide you with a way to see the following information:

  • How close your plan is to your budgeted amount or to the free tier limits

  • Your usage-to-date, including how much you've used of your Reserved Instances (RIs)

  • Your current estimated charges from AWS, and how much your predicted usage will accrue in charges by the end of the month

  • How much of your budget has been used

AWS updates your budget status several times a day. Budgets track your unblended costs, subscriptions, refunds, and RIs. You can create the following types of budgets:

  • Cost budgets - Plan how much you want to spend on a service.

  • Usage budgets - Plan how much you want to use one or more services.

  • RI utilization budgets - Define a utilization threshold, and receive alerts when your RI usage falls below that threshold. This lets you see if your RIs are unused or under-utilized.

  • RI coverage budgets - Define a coverage threshold, and receive alerts when the number of your instance hours that are covered by RIs fall below that threshold. This lets you see how much of your instance usage is covered by a reservation.

Service Endpoint

The AWS Budgets API provides the following endpoint:

  • https://budgets.amazonaws.com

For information about costs that are associated with the AWS Budgets API, see AWS Cost Management Pricing.

The Cost Explorer API enables you to programmatically query your cost and usage data. You can query for aggregated data such as total monthly costs or total daily usage. You can also query for granular data, such as the number of daily write operations for Amazon DynamoDB database tables in your production environment.

Service Endpoint

The Cost Explorer API provides the following endpoint:

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

For information about costs associated with the Cost Explorer API, see AWS Cost Management Pricing.

The Amazon Chime API (application programming interface) is designed for administrators to use to perform key tasks, such as creating and managing Amazon Chime accounts and users. This guide provides detailed information about the Amazon Chime API, including operations, types, inputs and outputs, and error codes.

You can use an AWS SDK, the AWS Command Line Interface (AWS CLI), or the REST API to make API calls. We recommend using an AWS SDK or the AWS CLI. Each API operation includes links to information about using it with a language-specific AWS SDK or the AWS CLI.

Using an AWS SDK

You don't need to write code to calculate a signature for request authentication. The SDK clients authenticate your requests by using access keys that you provide. For more information about AWS SDKs, see the AWS Developer Center.

Using the AWS CLI

Use your access keys with the AWS CLI to make API calls. For information about setting up the AWS CLI, see Installing the AWS Command Line Interface in the AWS Command Line Interface User Guide. For a list of available Amazon Chime commands, see the Amazon Chime commands in the AWS CLI Command Reference.

Using REST API

If you use REST to make API calls, you must authenticate your request by providing a signature. Amazon Chime supports signature version 4. For more information, see Signature Version 4 Signing Process in the Amazon Web Services General Reference.

When making REST API calls, use the service name chime and REST endpoint https://service.chime.aws.amazon.com.

Administrative permissions are controlled using AWS Identity and Access Management (IAM). For more information, see Control Access to the Amazon Chime Console in the Amazon Chime Administration Guide.

AWS Cloud9

AWS Cloud9 is a collection of tools that you can use to code, build, run, test, debug, and release software in the cloud.

For more information about AWS Cloud9, see the AWS Cloud9 User Guide.

AWS Cloud9 supports these operations:

  • CreateEnvironmentEC2: Creates an AWS Cloud9 development environment, launches an Amazon EC2 instance, and then connects from the instance to the environment.

  • CreateEnvironmentMembership: Adds an environment member to an environment.

  • DeleteEnvironment: Deletes an environment. If an Amazon EC2 instance is connected to the environment, also terminates the instance.

  • DeleteEnvironmentMembership: Deletes an environment member from an environment.

  • DescribeEnvironmentMemberships: Gets information about environment members for an environment.

  • DescribeEnvironments: Gets information about environments.

  • DescribeEnvironmentStatus: Gets status information for an environment.

  • ListEnvironments: Gets a list of environment identifiers.

  • UpdateEnvironment: Changes the settings of an existing environment.

  • UpdateEnvironmentMembership: Changes the settings of an existing environment member for an environment.

Amazon Cloud Directory

Amazon Cloud Directory is a component of the AWS Directory Service that simplifies the development and management of cloud-scale web, mobile, and IoT applications. This guide describes the Cloud Directory operations that you can call programmatically and includes detailed information on data types and errors. For information about Cloud Directory features, see AWS Directory Service and the Amazon Cloud Directory Developer Guide.

AWS CloudFormation

AWS CloudFormation allows you to create and manage AWS infrastructure deployments predictably and repeatedly. You can use AWS CloudFormation to leverage AWS products, such as Amazon Elastic Compute Cloud, Amazon Elastic Block Store, Amazon Simple Notification Service, Elastic Load Balancing, and Auto Scaling to build highly-reliable, highly scalable, cost-effective applications without creating or configuring the underlying AWS infrastructure.

With AWS CloudFormation, you declare all of your resources and dependencies in a template file. The template defines a collection of resources as a single unit called a stack. AWS CloudFormation creates and deletes all member resources of the stack together and manages all dependencies between the resources for you.

For more information about AWS CloudFormation, see the AWS CloudFormation Product Page.

Amazon CloudFormation makes use of other AWS products. If you need additional technical information about a specific AWS product, you can find the product's technical documentation at docs.aws.amazon.com.

Amazon CloudFront

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

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