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    • [AIAS-01] Guide: Explore an Optimization Study for a Kubernetes microservices application
      • [AIAS-01] Architecture overview
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    • [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
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    • [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
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      • [AIAB-03] Create the telemetry instances
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      • [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
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  1. Quick Guides: Akamas in a sandbox

[AIAS-02] Guide: Create a study to optimize Java performance using the Akamas UI

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Last updated 10 months ago

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This guide describes how to create an Akamas study to optimize the performance of a Java application. To do that, you will create an Akamas study using the UI wizard.

The target application to optimize is , a sample Java benchmark that is available in the sandbox environment.

The optimization goal is to make Renaissance run faster (minimize the response time of the benchmark iterations). You will leverage Akamas to automatically identify the optimal JVM parameters (like the size of the heap and inner pools, type of garbage collector, etc.) that can speed up the application.

What you will learn

  • How to create your first study using the Akamas UI

  • How to conduct an optimization with performance constraints

  • How to analyze and identify performance insights from a study results

What you will need

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

Renaissance