You don't notice it at first.
The first few alerts feel like battle scars—proof you're trusted, in the loop, responsible. You know your codebase, and when something breaks in production, you're the one they call. It's flattering, in a way.
But a few months in, the charm wears off.
You're waking up at 3:14 AM to a cryptic stack trace from a service you didn't write. You spend the next hour sifting through logs, tracing deploy histories, and wondering why this issue didn't show up in staging. You finally patch it—half-asleep—and stumble through the next day groggy and vaguely irritable.
And when it happens again the following week, you realize: this isn't just part of the job. This is the job.
Most teams don't talk about the cognitive tax of being on-call. We count incidents and track uptime, but rarely account for the hours lost to manual triage, the productivity hit from sleep disruption, or the burnout that creeps in when engineers start to dread the pager.
But what if it didn't have to be like this?
What if your on-call tool didn't just notify you, but helped you think? What if it parsed logs, understood traces, and gave you a head start on root cause before you even logged in? What if, instead of you piecing things together from a dozen dashboards, it presented the context—intelligently and in real-time?
Engineering should be about building. On-call should be a speed bump, not a brick wall.
We built something to change that.
Not for IT teams. Not for compliance checklists. For developers like you—who care about clean code, uptime, and sanity.
Because fixing things at 3:14 AM is hard enough. You shouldn't have to do it alone.