Quick Guides
  • Free Trial options
  • Quick Guides: Akamas in a sandbox
    • [AIAS-01] Guide: Explore an Optimization Study for a Kubernetes microservices application
      • [AIAS-01] Architecture overview
      • [AIAS-01] Explore the Study
      • [AIAS-01] Explore the System
      • [AIAS-01] Explore the Workflow
      • [AIAS-01] Explore the analysis
      • [AIAS-01] Explore the results
    • [AIAS-02] Guide: Create a study to optimize Java performance using the Akamas UI
      • [AIAS-02] Architecture overview
      • [AIAS-02] Create the Study
      • [AIAS-02] Define the optimization goal
      • [AIAS-02] Define the optimization parameters
      • [AIAS-02] Define the performance metrics
      • [AIAS-02] Define the optimization steps
      • [AIAS-02] Explore the results
    • [AIAS-03] Guide: Create a study to optimize K8s microservices costs using the Akamas CLI
      • [AIAS-03] Architecture overview
      • [AIAS-03] Create the system
      • [AIAS-03] Create the Workflow
      • [AIAS-03] Create the Study
      • [AIAS-03] Explore the results
  • Quick Guides: Akamas in a box
    • [AIAB-00] Install Akamas-in-a-box
      • [AIAB-00] Setup your Linux box
      • [AIAB-00] Install Akamas
    • [AIAB-01] Optimize a Java-based application (Renaissance benchmark)
      • [AIAB-01] Architecture overview
      • [AIAB-01] Create the System and its associated components
      • [AIAB-01] Configure the Telemetry
      • [AIAB-01] Create the workflow
      • [AIAB-01] Create and run the study
      • [AIAB-01] Explore the results
    • [AIAB-02] Optimize a Java-based application (Konakart) with JMeter
      • [AIAB-02] Architecture overview
      • [AIAB-02] Create the system and its components
      • [AIAB-02] Automate performance tests
      • [AIAB-02] Create the Telemetry Provider
      • [AIAB-02] Create the workflow
      • [AIAB-02] Create the study
      • [AIAB-02] Explore the results
    • [AIAB-03] Optimize a Java-based application (Konakart) with LRE
      • [AIAB-03] Architecture overview
      • [AIAB-03] Setup LoadRunner Enterprise
      • [AIAB-03] Create the system and its components
      • [AIAB-03] Create the telemetry instances
      • [AIAB-03] Create the workflow
      • [AIAB-03] Create the optimization study
    • [AIAB-04] Optimize a Java-based Kubernetes application (Online Boutique)
      • [AIAB-04] Architecture overview and setup
      • [AIAB-04] Setup Online Boutique
      • [AIAB-04] Setup Akamas
      • [AIAB-04] Create the system and its components
      • [AIAB-04] Create the workflow
      • [AIAB-04] Create the Study
      • [AIAB-04] Explore the results
Powered by GitBook
On this page

Was this helpful?

Export as PDF
  1. Quick Guides: Akamas in a sandbox

[AIAS-03] Guide: Create a study to optimize K8s microservices costs using the Akamas CLI

Previous[AIAS-02] Explore the resultsNext[AIAS-03] Architecture overview

Last updated 8 months ago

Was this helpful?

This guide describes how to optimize the cost efficiency of a Kubernetes microservice application.

The target application is Online Boutique, a popular app developed by Google for demo purposes. Online Boutique runs on a minimal Kubernetes cluster within the Akamas sandbox environment so you don't need to install anything on your side.

You will use the Akamas CLI to create this study, to familiarize with Akamas Optimization-as-Code approach.

All the configuration files and scripts referenced in this guide can be downloaded from Akamas' .

To start, clone the repository.

git clone https://github.com/akamaslabs/kubernetes-online-boutique.git

What you will learn

  • How to use the Akamas CLI to create an Optimization Study and all its supporting artifacts

  • How to model the Online Boutique application (which is available in the environment)

  • How to configure Prometheus to let Akamas collect Kubernetes performance metrics

  • How to optimize a Kubernetes application using Akamas

What you will need

  • Access to the Akamas-In-A-Sandbox (AIAS) environment with valid credentials.

  • Install the and use your free trial instance URL as API address as follows: https://<your-free-trial-sandbox-address>:8443

public GitHub repository
Akamas CLI