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Akamas Offline is the test-driven optimization solution for applications and infrastructure.

Looking for Akamas Insights instead? That's the Kubernetes and application optimization solution. It analyzes clusters and runtimes to recommend lower cost, better rightsizing, and improved reliability. Its docs are at docs.akamas.io/insights.

Getting started with Akamas

  • provides a very first introduction to AI-powered optimization

  • covers Akamas licensing, deployment, security topics

  • describes Akamas maintenance and support services.

This guide provides some preliminary knowledge required to purchase, implement and use Akamas.

User personas: All roles

  • describes the Akamas architecture

  • provides the hardware, software and network prerequisites

  • describes the steps to install an Akamas Server and CLI

This guide provides the knowledge required to install and manage an Akamas installation.

User personas: Akamas Admin

  • describes the Akamas optimization process and methodology

  • provides guidelines for optimizing some specific technologies

  • provides examples of optimization studies

This guide provides the methodology to define an optimization process and knowledge to leverage Akamas

User personas: Analyst / Practitioner teams

  • describes how to integrate Akamas with the telemetry providers and configuration management tools

  • describes how to integrate Akamas with load testing tools

  • describes how to integrate Akamas with CI/CD tools

This guide provides the knowledge required to integrate Akamas with the ecosystem

User personas: Akamas Admin, DevOps team

  • provides a glossary of Akamas key concepts with references to construct templates and commands

  • provides a reference to Akamas construct templates

  • provides a reference to Akamas command-line commands

  • describes Akamas optimization packs and telemetry providers

User personas: Akamas Admin, DevOps team, Analyst / Practitioner teams

Knowledge Base

  • describes how to setup a test environment for experimenting with Akamas

  • describes how to apply the Akamas approach to the optimization of some real-world cases

  • provides examples of Akamas templates and commands for the real-world cases

User personas: Analyst / Practicioner teams

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