Akamas Docs
3.3.1
3.3.1
  • How to use this documentation
  • Getting started with Akamas
    • Introduction to Akamas
    • Licensing
    • Deployment
      • Cloud Hosting
    • Security
    • Maintenance & Support (M&S) Services
      • Customer Support Services
      • Support levels for Customer Support Services
      • Support levels for software versions
      • Support levels with Akamas
  • Installing Akamas
    • Architecture
    • Docker compose installation
      • Prerequisites
        • Hardware Requirements
        • Software Requirements
        • Network requirements
      • Install Akamas dependencies
      • Install the Akamas Server
        • Online installation mode
          • Online installation behind a Proxy server
        • Offline installation mode
        • Changing UI Ports
        • Setup HTTPS configuration
      • Troubleshoot Docker installation issues
    • Kubernetes installation
      • Prerequisites
        • Cluster Requirements
        • Software Requirements
      • Install Akamas
        • Online Installation
        • Offline Installation - Private registry
      • Accessing Akamas
      • Useful commands
    • Install the CLI
      • Setup the CLI
      • Initialize the CLI
      • Change CLI configuration
      • Use a proxy server
    • Verify the installation
    • Installing the toolbox
    • Install the license
    • Manage anonymous data collection
    • Configure an external identity provider
      • Azure Active Directory
      • Google
  • Managing Akamas
    • Akamas logs
    • Audit logs
    • Upgrade Akamas
      • Docker compose
      • Kubernetes
    • Monitor the Akamas Server
    • Backup & Recover of the Akamas Server
  • Using Akamas
    • General optimization process and methodology
    • Preparing optimization studies
      • Modeling systems
      • Modeling components
        • Creating custom optimization packs
        • Managing optimization packs
      • Creating telemetry instances
      • Creating automation workflows
        • Creating workflows for offline studies
        • Performing load testing to support optimization activities
        • Creating workflows for live optimizations
      • Creating optimization studies
        • Defining optimization goal & constraints
        • Defining windowing policies
        • Defining KPIs
        • Defining parameters & metrics
        • Defining workloads
        • Defining optimization steps
        • Setting safety policies
    • Running optimization studies
      • Before running optimization studies
      • Analyzing results of offline optimization studies
        • Optimization Insights
      • Analyzing results of live optimization studies
      • Before applying optimization results
    • Guidelines for choosing optimization parameters
      • Guidelines for Kubernetes
      • Guidelines for JVM layer (OpenJDK)
      • Guidelines for JVM (OpenJ9)
      • Guidelines for Oracle Database
      • Guidelines for PostgreSQL
    • Guidelines for defining optimization studies
      • Optimizing Linux
      • Optimizing Java OpenJDK
      • Optimizing OpenJ9
      • Optimizing Web Applications
      • Optimizing Kubernetes
      • Optimizing Spark
      • Optimizing Oracle Database
      • Optimizing MongoDB
      • Optimizing MySQL Database
      • Optimizing PostgreSQL
  • Integrating Akamas
    • Integrating Telemetry Providers
      • CSV provider
        • Install CSV provider
        • Create CSV telemetry instances
      • Dynatrace provider
        • Install Dynatrace provider
        • Create Dynatrace telemetry instances
          • Import Key Requests
      • Prometheus provider
        • Install Prometheus provider
        • Create Prometheus telemetry instances
        • CloudWatch Exporter
        • OracleDB Exporter
      • Spark History Server provider
        • Install Spark History Server provider
        • Create Spark History Server telemetry instances
      • NeoLoadWeb provider
        • Install NeoLoadWeb telemetry provider
        • Create NeoLoadWeb telemetry instances
      • LoadRunner Professional provider
        • Install LoadRunner Professional provider
        • Create LoadRunner Professional telemetry instances
      • LoadRunner Enterprise provider
        • Install LoadRunner Enterprise provider
        • Create LoadRunner Enterprise telemetry instances
      • AWS provider
        • Install AWS provider
        • Create AWS telemetry instances
    • Integrating Configuration Management
    • Integrating Value Stream Delivery
    • Integrating Load Testing
      • Integrating NeoLoad
      • Integrating Load Runner Professional
      • Integrating LoadRunner Enterprise
  • Akamas Reference
    • Glossary
      • System
      • Component
      • Metric
      • Parameter
      • Component Type
      • Workflow
      • Telemetry Provider
      • Telemetry Instance
      • Optimization Pack
      • Goals & Constraints
      • KPI
      • Optimization Study
      • Offline Optimization Study
      • Live Optimization Study
      • Workspace
    • Construct templates
      • System template
      • Component template
      • Parameter template
      • Metric template
      • Component Types template
      • Telemetry Provider template
      • Telemetry Instance template
      • Workflows template
      • Study template
        • Goal & Constraints
        • Windowing policy
          • Trim windowing
          • Stability windowing
        • Parameter selection
        • Metric selection
        • Workload selection
        • KPIs
        • Steps
          • Baseline step
          • Bootstrap step
          • Preset step
          • Optimize step
        • Parameter rendering
        • Optimizer Options
    • Workflow Operators
      • General operator arguments
      • Executor Operator
      • FileConfigurator Operator
      • LinuxConfigurator Operator
      • WindowsExecutor Operator
      • WindowsFileConfigurator Operator
      • Sleep Operator
      • OracleExecutor Operator
      • OracleConfigurator Operator
      • SparkSSHSubmit Operator
      • SparkSubmit Operator
      • SparkLivy Operator
      • NeoLoadWeb Operator
      • LoadRunner Operator
      • LoadRunnerEnteprise Operator
    • Telemetry metric mapping
      • Dynatrace metrics mapping
      • Prometheus metrics mapping
      • NeoLoadWeb metrics mapping
      • Spark History Server metrics mapping
      • LoadRunner metrics mapping
    • Optimization Packs
      • Linux optimization pack
        • Amazon Linux
        • Amazon Linux 2
        • Amazon Linux 2022
        • CentOS 7
        • CentOS 8
        • RHEL 7
        • RHEL 8
        • Ubuntu 16.04
        • Ubuntu 18.04
        • Ubuntu 20.04
      • DotNet optimization pack
        • DotNet Core 3.1
      • Java OpenJDK optimization pack
        • Java OpenJDK 8
        • Java OpenJDK 11
        • Java OpenJDK 17
      • OpenJ9 optimization pack
        • IBM J9 VM 6
        • IBM J9 VM 8
        • Eclipse Open J9 11
      • Node JS optimization pack
        • Node JS 18
      • GO optimization pack
        • GO 1
      • Web Application optimization pack
        • Web Application
      • Docker optimization pack
        • Container
      • Kubernetes optimization pack
        • Kubernetes Pod
        • Kubernetes Container
        • Kubernetes Workload
        • Kubernetes Namespace
        • Kubernetes Cluster
      • WebSphere optimization pack
        • WebSphere 8.5
        • WebSphere Liberty ND
      • AWS optimization pack
        • EC2
        • Lambda
      • PostgreSQL optimization pack
        • PostgreSQL 11
        • PostgreSQL 12
      • Cassandra optimization pack
        • Cassandra
      • MySQL Database optimization pack
        • MySQL 8.0
      • Oracle Database optimization pack
        • Oracle Database 12c
        • Oracle Database 18c
        • Oracle Database 19c
        • RDS Oracle Database 11g
        • RDS Oracle Database 12c
      • MongoDB optimization pack
        • MongoDB 4
        • MongoDB 5
      • Elasticsearch optimization pack
        • Elasticsearch 6
      • Spark optimization pack
        • Spark Application 2.2.0
        • Spark Application 2.3.0
        • Spark Application 2.4.0
    • Command Line commands
      • Administration commands
      • User and Workspace management commands
      • Authentication commands
      • Resource management commands
      • Optimizer options commands
    • Release Notes
  • Knowledge Base
    • Setting up a Konakart environment for testing Akamas
    • Modeling a sample Java-based e-commerce application (Konakart)
    • Optimizing a web application
    • Optimizing a sample Java OpenJ9 application
    • Optimizing a sample Java OpenJDK application
    • Optimizing a sample Linux system
    • Optimizing a MongoDB server instance
    • Optimizing a Kubernetes application
    • Leveraging Ansible to automate AWS instance management
    • Guidelines for optimizing AWS EC2 instances
    • Optimizing a sample application running on AWS
    • Optimizing a Spark application
    • Optimizing an Oracle Database server instance
    • Optimizing an Oracle Database for an e-commerce service
    • Guidelines for optimizing Oracle RDS
    • Optimizing a MySQL server database running Sysbench
    • Optimizing a MySQL server database running OLTPBench
    • Optimizing cost of a Kubernetes application while preserving SLOs in production
    • Optimizing a live full-stack deployment (K8s + JVM)
    • Setup Instana Integration
  • Akamas Free Trial
Powered by GitBook
On this page
  • Configure the App registration
  • Create a new App registration
  • Get the client configuration
  • Create the Identity provider
  • Complete the app registration
  • Configure the default Akamas roles
  • Test the integration

Was this helpful?

Export as PDF
  1. Installing Akamas
  2. Configure an external identity provider

Azure Active Directory

Last updated 1 year ago

Was this helpful?

This page provides a walkthrough to configure Azure Active Directory as an external identity provider for Akamas users.

You will need an Azure account with the Application.ReadWrite.All permission, required to create app registrations in your Azure AD tenant.

Configure the App registration

To integrate Akamas with your Active Directory, you first need a dedicated App registration in your Azure Organization. If you want to use an existing registration, skip to ; to create a new one, refer to the following sub-section.

​​Multiple Akamas instances can share the same app registration. It implies that any AD user added to a registration could access all the associated Akamas instances.

If you need to manage accesses with finer granularity, create a dedicated registration for each Akamas installation.

Create a new App registration

To create a new registration, navigate to in your Azure portal and select "New registration" and specify the following:

  • a name for the application

  • the account type that best suits your use case

Complete the creation by clicking on "Register".

Get the client configuration

On the "Overview" page of the application, note the following values:

  • Application (client) ID

  • OpenID Connect metadata document (found in the "Endpoints" side panel)

Furthermore, in the "Certificates & secrets" section, create a new Client secret and note its value.

With these values, we can now complete the provider configuration in the Keycloak console.

Create the Identity provider

Here, specify an alias for the client ("microsoft" in our case) and optionally the display name used in the login page ("Microsoft").

In the "OpenID Connect settings" section, configure the following fields using the values from the app registration in the Azure portal:

  • "Discovery endpoint": populate with the URL of the "OpenID Connect metadata document". This box should become green upon successful validation.

  • "Client ID": populate with the "Application (client) ID" from the app's overview page

  • "Client Secret": populate with the value of the generated secret

Complete the configuration by clicking "Add". You will land on the detail page of the new provider: here, copy the value of the redirect URI.

Complete the app registration

Back to the app registration in the Azure portal, navigate to the "Authentication" section. Add the "Web" platform (if not already present).

Finally, add to the list of redirect URIs the one from the previous step.

You have now configured Akamas to delegate to Azure your users' login.

When changing the hostname of the Akamas installation, you need to update the redirect URI configured in the app registration. Skipping this step will block any login attempt with the following error:

The redirect URI 'https://...' specified in the request does not match the redirect URIS configured for the application '...'.

Configure the default Akamas roles

The final setup step is to instruct Akamas to associate the default roles with the users automatically. This way, users will be added to the default workspace with read and write permissions the first time they log in.

On the Keycloak console, on the provider's details page, navigate to "Mappers":

Now, add the following configurations.

User role

  • Name: User role

  • Mapper type: Hardcoded role

  • Role: USER

Default Workspace Read

  • Name: Default Workspace Read

  • Mapper type: Hardcoded role

  • Role: WS_ac8481d3-d031-4b6a-8ae9-c7b366f027e8_R

Default Workspace Write

  • Name: Default Workspace Write

  • Mapper type: Hardcoded role

  • Role: WS_ac8481d3-d031-4b6a-8ae9-c7b366f027e8_W

Test the integration

Visit the installation's login page to check that the new authentication method is displayed and works correctly.

Access the Identity providers section for the "akamas" realm in the Keycloak administration console, as described on the page , and select "OpenID Connect v1.0" to start creating the new provider.

Configure an external identity provider
"App registrations"
Get the client configuration
User Role map