Akamas Docs
3.5
3.5
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    • Docker compose installation
      • Prerequisites
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        • Analyzing results of live optimization studies
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    • Optimize application costs and resource efficiency
      • Kubernetes microservices
        • Optimize cost of a Kubernetes deployment subject to Horizontal Pod Autoscaler
        • Optimize cost of a Kubernetes microservice while preserving SLOs in production
        • Optimize cost of a Java microservice on Kubernetes while preserving SLOs in production
      • Application runtime
        • Optimizing a sample Java OpenJDK application
        • Optimizing cost of a Node.js application with performance tests
        • Optimizing cost of a Golang application with performance tests
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      • Applications running on cloud instances
        • Optimizing a sample application running on AWS
      • Spark applications
        • Optimizing a Spark application
    • Optimize application performance and reliability
      • Kubernetes microservices
        • Optimizing cost of a Kubernetes microservice while preserving SLOs in production
        • Optimizing cost of a Java microservice on Kubernetes while preserving SLOs in production
      • Applications running on cloud instances
      • Spark applications
  • Integrating
    • 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
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      • Integrating NeoLoad
      • Integrating LoadRunner Professional
      • Integrating LoadRunner Enterprise
  • Reference
    • Glossary
      • System
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    • Construct templates
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      • Study template
        • Goal & Constraints
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          • Trim windowing
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          • Baseline step
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        • Parameter rendering
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    • Workflow Operators
      • General operator arguments
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      • NeoLoadWeb Operator
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      • 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
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        • Node JS 18
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        • GO 1
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        • EC2
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        • PostgreSQL 11
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      • Cassandra optimization pack
        • Cassandra
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        • MySQL 8.0
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        • Oracle Database 12c
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      • 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
    • Creating custom optimization packs
    • 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 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 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 a live full-stack deployment (K8s + JVM)
    • Setup Instana integration
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  1. Reference

Command Line commands

Last updated 1 year ago

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This section describes all the commands provided by the Akamas Command Line Interface (CLI):

  • to manage the Akamas installation

  • to manage user and workspaces

  • to perform login and logout operations

  • to manage all the

  • to update the Akamas optimizer options

The Akamas CLI provides a command-line interaction with the Akamas platform, thus enabling an infrastructure-as-code user experience to manage the end-to-end optimization lifecycle.

Notice: the Akamas CLI allows performing all the operations that you can do on the UI and more. In particular, the CLI has to be used for all modification operations on the platform, such as the creation and deletion of Akamas resources.

Read here below to use the help to get started with Akamas commands.

Akamas resources

The following table describes all the Akamas' resources and their parent resources.

Akamas resources
Parent Resource

Component

System

Component Type

Metric

Parameter

Optimization Pack

Study

Step

Experiment

Study

Trial

Telemetry Provider

Telemetry Instance

System

KPI

System

License

Workflow

User

Workspace

Built-in help

Akamas CLI provides built-in help, which is one of the few commands that do not require any authentication.

By issuing the following command:

akamas

you get something like the following:

Usage: akamas [OPTIONS] COMMAND [ARGS]...

  A command line interface for Akamas.

Options:
  --version  Show the version and exit.
  --help     Show this message and exit.

Commands:
  build      Build a resource.
  create     Create a resource
  delete     Delete a resource
  describe   Show details of a specific resource
  export     Export a resource
  finish     Terminate the execution of a resource
  import     Restore a resource
  init       Initializes resources and other entities
  install    Install a resource
  list       List resource instances
  log        Show Akamas logs
  login      Login into Akamas
  logout     Logout from Akamas
  set        Set a resource.
  start      Start an execution of a resource
  status     Show the status of Akamas services
  uninstall  Uninstall a resource
  update     Update a resource
  whoami     Show logged user, current workspace and configured api address
Administration commands
User and Workspace management commands
Authentication commands
Resource management commands
Optimizer option commands
Akamas resources
built-in