gobench-io / gobench

A benchmark framework based on Golang
Apache License 2.0
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Support for Deployment Options #166

Open thoverik opened 1 year ago

thoverik commented 1 year ago

I want to enhance Gobench with support for multiple deployment options to make it more accessible and convenient for users. The following deployment options should be considered:

By supporting these deployment options, we aim to make Gobench more accessible and adaptable to various deployment scenarios. I welcome input, contributions, and suggestions from the community to help implement and improve these deployment options.

Please share your thoughts, ideas, or any additional deployment options that you think would be valuable for Gobench.

Thank you for your support and collaboration!

Here are a few suggestions to consider when adding support for deployment options in Gobench

Documentation: Create clear and detailed documentation for each deployment option, including step-by-step instructions, configuration parameters, and any prerequisites or dependencies. This will help users understand how to deploy Gobench using different methods.

Examples and Templates: Provide sample configurations, Dockerfiles, Kubernetes manifests, Helm charts, and Terraform scripts as examples. These examples will serve as starting points for users to customize and adapt Gobench deployment to their specific needs.

Integration Testing: Set up automated integration tests that validate the deployment options. This will help ensure that Gobench can be successfully deployed and run using different methods, providing confidence to users.

Version Compatibility: Specify the compatibility of Gobench with different deployment options, including the minimum required versions of Docker, Kubernetes, Helm, and Terraform. Regularly update and test Gobench against new versions to ensure ongoing compatibility.

Continuous Integration/Deployment (CI/CD): Integrate Gobench's deployment options into Github Action to automate the building and testing of Docker images, Helm charts, and Terraform scripts. This ensures that changes and updates to the deployment options are thoroughly tested.