The tool is free and open-source, so anyone can use it for their own Kafka clusters. It’s very much a “crappy but functional” project at this stage — nothing fancy, just a practical CLI for certain tasks.
You can find it here: https://github.com/KLogicHQ/kafy
Recently I moved from repl.it to Claude max to save costs.
gofiber/fiber – not container-specific, but useful for building lightweight async schedulers if you're rolling your own orchestration logic.
dockertest – primarily for testing, but you can adapt its logic for simplified lifecycle management.
hashicorp/go-plugin – good for decoupling workloads, especially if you're considering container-based isolation per plugin/command.
That said, most teams I’ve seen build their own lightweight layer on top of the Docker SDK with Redis or internal queues for tracking load/health. Curious if you're doing multi-host management or keeping this local? Also, make sure to aggressively timeout and clean up zombie exec sessions — they sneak up fast when you're doing docker exec a lot.
Would love to hear more if you open source anything from this!
One of our engineers found https://testcontainers.com. We find it interesting and it seems like it won’t maintain container live. Instead, it start and remove the container for each test. We might need to implement lock mechanism to run only maximum number of containers at a time. I don’t know whether it fits for highly scalable test cases.
The goal is to help small teams and fast-growing startups understand where cloud spend is leaking and automatically reduce waste (idle resources, over-provisioned workloads, inefficient Kubernetes setups, and AI API usage). Setup is lightweight, and we focus on actionable recommendations rather than massive dashboards.
We’re still early and testing with a few teams who want better cost visibility without running a full FinOps practice.
Website: https://deepcost.ai