Hey everyone! I'm developing an open-source tool aimed at solving the common issue of friction and inconsistency between local development environments and staged cloud platforms. I'm building a workflow orchestrator CLI in Go with the following features: it scaffolds new services with best practices, auto-generates a `docker-compose.yaml` for local setups, produces Terraform code for cloud provisioning (starting with AWS), and creates boilerplate GitHub Actions for CI/CD pipelines. It's vital to note that this isn't meant to compete with tools like Terraform, Docker, or GitHub Actions; rather, it's an abstraction layer that connects these tools into a unified process, particularly for small teams or independent developers without dedicated platform support. I'd love your feedback on whether this addresses a real need, what potential pitfalls I might be overlooking, and any critical features that might be missing from this vision. Thanks for your insights!
2 Answers
I haven't checked your code yet, but I can say that your approach resonates well with us! We built a similar pipeline that automatically sets up repos, provisions cloud tools like Sonar and Artifactory, and scaffolds apps based on specific parameters. It generates everything from Docker setups to Terraform scripts and handles deployment. We've found this method saves a ton of time and effort for our team. Just a heads up, though—we don’t allow developers to apply Terraform changes to production directly.
I really like what you're doing! In my experience, many workplaces develop their own config-generation solutions to create standard services through a higher-level YAML setup in their repos. The tricky part is defining what 'best practices' actually are; that's often where your approach might hit bumps. Once you have that nailed down, generating the config should be straightforward.
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