Review data mesh code and suggest design improvements#4
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Review data mesh code and suggest design improvements#4
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…er build and push steps, and enhance coverage reporting
…g, linting, and testing steps
… permissions for write access
…oduction and staging
…on and add troubleshooting documentation
…nd update troubleshooting documentation
…oved error handling, and fallback deployment strategies for Koyeb
…ions and set Python version for improved consistency
… update CLI verification steps in CI/CD workflows
…/CD workflows for Koyeb deployment
…reamline Docker image availability checks for Koyeb deployment
…uring job names, and implementing format checks for pull requests and pushes
…crets for improved deployment and troubleshooting guidance
…volution plan Co-authored-by: jeanbapt <jeanbapt@dealexmachina.com>
Co-authored-by: jeanbapt <jeanbapt@dealexmachina.com>
Co-authored-by: jeanbapt <jeanbapt@dealexmachina.com>
Co-authored-by: jeanbapt <jeanbapt@dealexmachina.com>
Co-authored-by: jeanbapt <jeanbapt@dealexmachina.com>
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Implement comprehensive CI/CD pipelines for automated deployment to Koyeb and provide detailed data mesh design recommendations.
The AI assistant reviewed the existing data mesh implementation and generated a detailed
data_mesh_design_recommendations.mddocument. To support the evolution towards a more production-ready data product, this PR also establishes robust CI/CD workflows for continuous integration, multi-environment deployment (production, staging, PR previews), and improved deployment reliability and observability on Koyeb. This includes new GitHub Actions, updated documentation, and Pulumi infrastructure for native Koyeb deployment.