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OpenAPI Directory | Cenit Admin

AWS IAM Access Analyzer helps identify potential resource-access risks by enabling you to identify any policies that grant access to an external principal. It does this by using logic-based reasoning to analyze resource-based policies in your AWS environment. An external principal can be another AWS account, a root user, an IAM user or role, a federated user, an AWS service, or an anonymous user. This guide describes the AWS IAM Access Analyzer operations that you can call programmatically. For general information about Access Analyzer, see the AWS IAM Access Analyzer section of the IAM User Guide.

To start using Access Analyzer, you first need to create an analyzer.

AWS Certificate Manager

Welcome to the AWS Certificate Manager (ACM) API documentation.

You can use ACM to manage SSL/TLS certificates for your AWS-based websites and applications. For general information about using ACM, see the AWS Certificate Manager User Guide .

This is the ACM Private CA API Reference. It provides descriptions, syntax, and usage examples for each of the actions and data types involved in creating and managing private certificate authorities (CA) for your organization.

The documentation for each action shows the Query API request parameters and the XML response. Alternatively, you can use one of the AWS SDKs to access an API that's tailored to the programming language or platform that you're using. For more information, see AWS SDKs.

Each ACM Private CA API action has a throttling limit which determines the number of times the action can be called per second. For more information, see API Rate Limits in ACM Private CA in the ACM Private CA user guide.

Alexa for Business helps you use Alexa in your organization. Alexa for Business provides you with the tools to manage Alexa devices, enroll your users, and assign skills, at scale. You can build your own context-aware voice skills using the Alexa Skills Kit and the Alexa for Business API operations. You can also make these available as private skills for your organization. Alexa for Business makes it efficient to voice-enable your products and services, thus providing context-aware voice experiences for your customers. Device makers building with the Alexa Voice Service (AVS) can create fully integrated solutions, register their products with Alexa for Business, and manage them as shared devices in their organization.

Amplify is a fully managed continuous deployment and hosting service for modern web apps.

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

AWS AppConfig

Use AWS AppConfig, a capability of AWS Systems Manager, to create, manage, and quickly deploy application configurations. AppConfig supports controlled deployments to applications of any size and includes built-in validation checks and monitoring. You can use AppConfig with applications hosted on Amazon EC2 instances, AWS Lambda, containers, mobile applications, or IoT devices.

To prevent errors when deploying application configurations, especially for production systems where a simple typo could cause an unexpected outage, AppConfig includes validators. A validator provides a syntactic or semantic check to ensure that the configuration you want to deploy works as intended. To validate your application configuration data, you provide a schema or a Lambda function that runs against the configuration. The configuration deployment or update can only proceed when the configuration data is valid.

During a configuration deployment, AppConfig monitors the application to ensure that the deployment is successful. If the system encounters an error, AppConfig rolls back the change to minimize impact for your application users. You can configure a deployment strategy for each application or environment that includes deployment criteria, including velocity, bake time, and alarms to monitor. Similar to error monitoring, if a deployment triggers an alarm, AppConfig automatically rolls back to the previous version.

AppConfig supports multiple use cases. Here are some examples.

  • Application tuning: Use AppConfig to carefully introduce changes to your application that can only be tested with production traffic.

  • Feature toggle: Use AppConfig to turn on new features that require a timely deployment, such as a product launch or announcement.

  • User membership: Use AppConfig to allow premium subscribers to access paid content.

  • Operational issues: Use AppConfig to reduce stress on your application when a dependency or other external factor impacts the system.

This reference is intended to be used with the AWS AppConfig User Guide.

With Application Auto Scaling, you can configure automatic scaling for the following resources:

  • Amazon ECS services

  • Amazon EC2 Spot Fleet requests

  • Amazon EMR clusters

  • Amazon AppStream 2.0 fleets

  • Amazon DynamoDB tables and global secondary indexes throughput capacity

  • Amazon Aurora Replicas

  • Amazon SageMaker endpoint variants

  • Custom resources provided by your own applications or services

  • Amazon Comprehend document classification endpoints

  • AWS Lambda function provisioned concurrency

API Summary

The Application Auto Scaling service API includes three key sets of actions:

  • Register and manage scalable targets - Register AWS or custom resources as scalable targets (a resource that Application Auto Scaling can scale), set minimum and maximum capacity limits, and retrieve information on existing scalable targets.

  • Configure and manage automatic scaling - Define scaling policies to dynamically scale your resources in response to CloudWatch alarms, schedule one-time or recurring scaling actions, and retrieve your recent scaling activity history.

  • Suspend and resume scaling - Temporarily suspend and later resume automatic scaling by calling the RegisterScalableTarget action for any Application Auto Scaling scalable target. You can suspend and resume, individually or in combination, scale-out activities triggered by a scaling policy, scale-in activities triggered by a scaling policy, and scheduled scaling.

To learn more about Application Auto Scaling, including information about granting IAM users required permissions for Application Auto Scaling actions, see the Application Auto Scaling User Guide.

Amazon CloudWatch Application Insights for .NET and SQL Server

Amazon CloudWatch Application Insights for .NET and SQL Server is a service that helps you detect common problems with your .NET and SQL Server-based applications. It enables you to pinpoint the source of issues in your applications (built with technologies such as Microsoft IIS, .NET, and Microsoft SQL Server), by providing key insights into detected problems.

After you onboard your application, CloudWatch Application Insights for .NET and SQL Server identifies, recommends, and sets up metrics and logs. It continuously analyzes and correlates your metrics and logs for unusual behavior to surface actionable problems with your application. For example, if your application is slow and unresponsive and leading to HTTP 500 errors in your Application Load Balancer (ALB), Application Insights informs you that a memory pressure problem with your SQL Server database is occurring. It bases this analysis on impactful metrics and log errors.

AWS App Mesh is a service mesh based on the Envoy proxy that makes it easy to monitor and control 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 AWS Fargate, Amazon ECS, Amazon EKS, Kubernetes on AWS, and Amazon EC2.

App Mesh supports microservice applications that use service discovery naming for their components. For more information about service discovery on Amazon ECS, see Service Discovery in the Amazon Elastic Container Service Developer Guide. Kubernetes kube-dns and coredns are 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. This documentation provides descriptions and syntax for each of the actions and data types in AppStream 2.0. AppStream 2.0 is a fully managed, secure application streaming service that lets you stream desktop applications to users without rewriting applications. AppStream 2.0 manages the AWS resources that are required to host and run your applications, scales automatically, and provides access to your users on demand.

You can call the AppStream 2.0 API operations by using an interface VPC endpoint (interface endpoint). For more information, see Access AppStream 2.0 API Operations and CLI Commands Through an Interface VPC Endpoint in the Amazon AppStream 2.0 Administration Guide.

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 scaling policies, scheduled actions, and health checks. Use this service with AWS Auto Scaling, Amazon CloudWatch, and Elastic Load Balancing.

For more information, including information about granting IAM users required permissions for Amazon EC2 Auto Scaling actions, 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, including information about granting IAM users required permissions for AWS Auto Scaling actions, 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.

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