You can now create the component modeling the Konakart web application. the response time or the transactions throughput).Īkamas comes with a Web Application optimization pack out-of-the-box. The Web Application component is used to model the typical performance metrics characterizing the performance of a web application (e.g. Run the command to create it: akamas create system system.yaml The file system.yaml contains the following description of the system: name: konakart Let's start by creating the system and its components. These metrics will be gathered from LRE, thanks to Akamas out-of-the-box LoadRunner Enterprise telemetry provider. In the script, you need to replace the URL of the requests from to the FQDN and port of the instance where Konakart is deployed.Īkamas provides an out-of-the-box optimization pack called Web Application that comes very handy for modeling typical web applications, as it includes metrics such as transactions_throughput and transaction_response_time which you will use in this guide to define the optimization goal and to analyze the optimization results. You can find a working script in the repository. To create the LoadRunner Enterprise test you will need a script to simulate user navigations on the Konakart website. Moreover, take note of the address, the schema name, and the credentials of your InfluxDB external analysis server since they will be required while configuring the telemetry instance. You will need to set them into your workflow configuration. the tenant id your project belongs to (for multi-tenant installations only).the credentials used to access and run the scripts on your LRE project.Take note of the following ids/configurations while setting up all your LRE artifacts: You will create the artifacts for the Konakart optimization scenario in the next steps of this guide. You don't need to do the next steps as they talk about creating generic Akamas artifacts for validation purposes. You need to do steps 1 to 7 of the LoadRunner Enterprise integration guide. You can configure the out-of-the-box integration between Akamas and LRE following the integration guide. You need a fully working LoadRunner Enterprise environment to run a load test on your target Konakart system. The optimization results leverage Prometheus as a telemetry provider to collect JVM and OS-level metrics.The optimization experiments leverage LoadRunner Enterprise as a load testing tool.The optimization scope in the Konakart Java Virtual Machine (JVM) with the configuration of the JVM parameters specified in a Docker configuration file on the Konakart cloud instance.The target system to be optimized is Konakart, a real-world e-commerce web application based on Java and running as a Docker container within a dedicated cloud instance - in this guide, the goal is to optimize Konakart throughput and response time.The following picture represents the high-level architecture of how Akamas operates in this scenario.
![docker compose neoload docker compose neoload](http://y-ohgi.com/introduction-docker/3_production/imgs/docker-compose-laravel.png)
If you're new to Akamas, please review the getting started guide.Īll the configuration files used in this guide can be found on our public GitHub repository.
![docker compose neoload docker compose neoload](https://linuxhandbook.com/content/images/size/w1600/2021/06/image-8.png)
![docker compose neoload docker compose neoload](https://miro.medium.com/max/2000/1*Rxn8EYsPUwlj2B65FpUXew.png)
DOCKER COMPOSE NEOLOAD LICENSE
DOCKER COMPOSE NEOLOAD HOW TO
![docker compose neoload docker compose neoload](https://digital.ai/sites/default/files/pictures/styles/tool_chest_st/public/pt_logos/microsoft-sql-server-integration-services.png)
How to conduct an optimization with performance constraints.How to automate the configuration of the parameters in a containerized Java application.How to integrate Prometheus monitoring tool with Akamas.How to optimize a real-world Java application with Akamas in a realistic performance environment.In this guide, you'll learn how to optimize Konakart, a real-world Java-based e-commerce application, by leveraging Micro Focus LoadRunner Enterprise performance testing tool and Prometheus monitoring tool. Optimize a Java-based e-Commerce application using LoadRunner Enterprise