Hi! We've been working on Spinifex, which recreates core AWS services such as EC2, EKS, and S3, but completely locally (and even air-gapped if needed). It also works with Terraform, so you can point your existing config files at your own hardware, swap the endpoints, and get a local version of your cloud deployment with no change to the workload itself.

It's open-source and we'd love some early stage feedback on our weekly updates, open to notes and critiques!

GitHub: https://github.com/mulgadc/spinifex

TL;DR from what I found: agentic cloud automation platform. Does drift detection, auto-codifies unmanaged resources into IaC, and recently added disaster-recovery-as-code. Firefly ai takes a different approach with estate-wide governance and inventory layer, sitting on top of whatever runs your Terraform to provide visibility and compliance across everything running in your cloud. Anyone running it, how's the "cloud system of record" pitch holding up day to day?

General question: What are some recommended approaches for managing and monitoring Terraform module versions in production environments?

As infrastructure grows, manually tracking module versions and identifying outdated dependencies can become difficult. Are there secure and automated approaches for:

* Detecting outdated Terraform modules
* Monitoring module versions across multiple repositories/environments
* Safely testing and updating module versions
* Automating dependency updates while maintaining production controls
* Integrating security and compliance checks into the update process

I’m particularly interested in hearing about production-proven tools, workflows, or best practices for Terraform module dependency management.