Amazon Web Services Virtualclusters API

openapi: 3.2.0
info:
  title: Amazon Web Services accessanalyzer 2012 09 25 Virtualclusters API
  description: <p>Identity and Access Management Access Analyzer helps you to set, verify, and refine your IAM policies by providing a suite of capabilities. Its features include findings for external and unused access, basic and custom policy checks for validating policies, and policy generation to generate fine-grained policies. To start using IAM Access Analyzer to identify external or unused access, you first need to create an analyzer.</p> <p> <b>External access analyzers</b> help identify potential risks of accessing resources by enabling you to identify any resource policies that grant access to an external principal. It does this by using logic-based reasoning to analyze resource-based policies in your Amazon Web Services environment. An external principal can be another Amazon Web Services account, a root user, an IAM user or role, a federated user, an Amazon Web Services service, or an anonymous user. You can also use IAM Access Analyzer to preview public and cross-account access to your resources before deploying permissions changes.</p> <p> <b>Unused access analyzers</b> help identify potential identity access risks by enabling you to identify unused IAM roles, unused access keys, unused console passwords, and IAM principals with unused service and action-level permissions.</p> <p>Beyond findings, IAM Access Analyzer provides basic and custom policy checks to validate IAM policies before deploying permissions changes. You can use policy generation to refine permissions by attaching a policy generated using access activity logged in CloudTrail logs. </p> <p>This guide describes the IAM Access Analyzer operations that you can call programmatically. For general information about IAM Access Analyzer, see <a href="https://docs.aws.amazon.com/IAM/latest/UserGuide/what-is-access-analyzer.html">Identity and Access Management Access Analyzer</a> in the <b>IAM User Guide</b>.</p>
tags:
- name: Virtualclusters
paths:
  /virtualclusters/{virtualClusterId}/jobruns/{jobRunId}:
    GET:
      summary: Amazon Web Services Describejobrun
      description: Displays detailed information about a job run. A job run is a unit of work, such as a Spark jar, PySpark script, or SparkSQL query, that you submit to Amazon EMR on EKS.
      operationId: amazonWebServicesDescribeJobRun
      tags:
      - Virtualclusters
  /virtualclusters/{virtualClusterId}/endpoints:
    GET:
      summary: Amazon Web Services Listmanagedendpoints
      description: Lists managed endpoints based on a set of parameters. A managed endpoint is a gateway that connects Amazon EMR Studio to Amazon EMR on EKS so that Amazon EMR Studio can communicate with your virtual cluster.
      operationId: amazonWebServicesListManagedEndpoints
      tags:
      - Virtualclusters
  /virtualclusters:
    GET:
      summary: Amazon Web Services Listvirtualclusters
      description: Lists information about the specified virtual cluster. Virtual cluster is a managed entity on Amazon EMR on EKS. You can create, describe, list and delete virtual clusters. They do not consume any additional resource in your system. A single virtual cluster maps to a single Kubernetes namespace. Given this relationship, you can model virtual clusters the same way you model Kubernetes namespaces to meet your requirements.
      operationId: amazonWebServicesListVirtualClusters
      tags:
      - Virtualclusters
  /virtualclusters/{virtualClusterId}/endpoints/{endpointId}:
    GET:
      summary: Amazon Web Services Describemanagedendpoint
      description: Displays detailed information about a managed endpoint. A managed endpoint is a gateway that connects Amazon EMR Studio to Amazon EMR on EKS so that Amazon EMR Studio can communicate with your virtual cluster.
      operationId: amazonWebServicesDescribeManagedEndpoint
      tags:
      - Virtualclusters
  /virtualclusters/{virtualClusterId}:
    GET:
      summary: Amazon Web Services Describevirtualcluster
      description: Displays detailed information about a specified virtual cluster. Virtual cluster is a managed entity on Amazon EMR on EKS. You can create, describe, list and delete virtual clusters. They do not consume any additional resource in your system. A single virtual cluster maps to a single Kubernetes namespace. Given this relationship, you can model virtual clusters the same way you model Kubernetes namespaces to meet your requirements.
      operationId: amazonWebServicesDescribeVirtualCluster
      tags:
      - Virtualclusters
  /virtualclusters/{virtualClusterId}/endpoints/{endpointId}/credentials:
    POST:
      summary: Amazon Web Services Getmanagedendpointsessioncredentials
      description: 'Generate a session token to connect to a managed endpoint. '
      operationId: amazonWebServicesGetManagedEndpointSessionCredentials
      tags:
      - Virtualclusters
  /virtualclusters/{virtualClusterId}/jobruns:
    POST:
      summary: Amazon Web Services Startjobrun
      description: Starts a job run. A job run is a unit of work, such as a Spark jar, PySpark script, or SparkSQL query, that you submit to Amazon EMR on EKS.
      operationId: amazonWebServicesStartJobRun
      tags:
      - Virtualclusters