Kula
Lightweight, self-contained Linux® server monitoring tool
What it does
Lightweight, self-contained Linux® server monitoring tool - Zero dependencies. - No external databases. - Lightweight, running on even small ARM-based VMs - Self-contained single binary, easy and quick to deploy - Real-time monitoring, collects metrics every second - Ring-buffer storage, no need for external databases - Safety first approach, regular code reviews
Does a similar job
all alternatives →- KLKula – Lightweight, self-contained Linux server monitoring toolMar 2026 · github.com · ▲93
Zero dependencies. No external databases. Single binary. Just deploy and go. I needed something that would allow for real-time monitoring, and installation is as simple as dropping a single file and running it. That's exactly what Kula is. Kula is the Polish word for "ball," as in "crystal ball." The project is in constant development, but I'm already using it on multiple servers in production. It still has some rough edges and needs to mature, but I wanted to share it with the world now—perhaps someone else will find it useful and be willing to help me develop it by testing or providing…
- LTLightweight tool for managing Linux virtual machinesSep 2025 · github.com · ▲144
hey guys. the other day i was migrating hosting providers and i just needed something not too heavy and convenient to spin up my backups for awhile and realised there is almost nothing out there. kimchi hasn't been updated for years and cockpit is heavy. so here's something i came up with in a couple hours because of a sudden urge, nothing fancy just basic creation with cloud init, lifecycle management and image/storage, but it's modern-ish and it compiles to a 8.4mb binary inclusive of the embedded web UI, CLI and API, and only dep is libvirt.
- LSLinux server monitoring web dashboard2014 · github.com · ▲175
- DADish: A lightweight HTTP and TCP socket monitoring tool written in Go2025 · github.com · ▲39
dish is a lightweight, 0 dependency monitoring tool in the form of a small binary executable. Upon execution, it checks the provided sockets (which can be provided in a JSON file or served by a remote JSON API endpoint). The results of the check are then reported to the configured channels. It started as a learning project and ended up proving quite handy. Me and my friend have been using it to monitor our services for the last 3 years. We have refactored the codebase to be a bit more presentable recently and thought we'd share on here! The currently supported channels include: - Telegram -…
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