Reliability is not a coincidence

It was clear early on that a cloud version would be needed. But “it runs” was never enough for me. Over the years I built a good dozen cloud architectures; two of them sat ready to launch on my drive. Neither would have reached the performance I wanted under load – I know the difference between “runs in the demo” and “holds up under real load”. So I started over. As often as it took.

The version I've been building for about a year is the first that holds up. Fully event-driven, every component decoupled on its own. Underneath sits more infrastructure work than product code: everything built to be reproducible, with high availability at every layer. SMS and email run through two independent providers with failover, while database, cache and edge are redundantly secured across multiple nodes. An outage turns into seconds instead of minutes. The monitoring itself runs in Go, so even rapid re-checks or capturing check artifacts cost almost nothing.

Your own monitoring shows you what happens inside your network. LIVCK closes the loop on the outside: catch outages from your customers' perspective, reach the right person, run the incident cleanly and communicate transparently, planned maintenance included. And when things really break and your own systems go down with them, this exact layer keeps running.

I'm a perfectionist; the best is rarely good enough for me. As I write this, I'm already thinking about rebuilding the probe workers in Rust – but that goes into the backlog for now. What doesn't go into the backlog: the principle that a platform which tells others about their outages must not go down itself. LIVCK is owner-operated and independent. No investor, no corporation, no acquisition that shuts the product down tomorrow.