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    • [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
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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
      • [AIAS-03] Architecture overview
      • [AIAS-03] Create the system
      • [AIAS-03] Create the Workflow
      • [AIAS-03] Create the Study
      • [AIAS-03] Explore the results
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    • [AIAB-01] Optimize a Java-based application (Renaissance benchmark)
      • [AIAB-01] Architecture overview
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      • [AIAB-01] Configure the Telemetry
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    • [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
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  1. Quick Guides: Akamas in a sandbox
  2. [AIAS-03] Guide: Create a study to optimize K8s microservices costs using the Akamas CLI

[AIAS-03] Create the Workflow

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Last updated 10 months ago

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The next step is to create a workflow describing the steps executed in each experiment of your optimization study.

A workflow in an optimization study for Kubernetes is typically composed of the following tasks:

  • Update the Kubernetes deployment file of the Kubernetes workloads with the new values of the selected optimization parameters (e.g. CPU and memory requests and limits), using the FileConfigurator operator.

  • Apply the new deployment files via kubectl. This triggers a rollout of the new deployment in Kubernetes.

  • Wait until the rollout is complete.

  • Run the performance test.

To create the workflow, launch the following command:

akamas create workflow kubernetes-online-boutique/akamas/workflows/workflow-aias.yaml

You can verify that this workflow has been created by accessing the "boutique" workflow in the Workflow menu:

All scripts and templates used in the steps of this workflow are available in the kubernetes-online-boutique/workflow-artifacts folder.