Lightweight uptime monitoring for startups and indie hackers: a few high-signal checks that catch real outages and reach a phone before users start emailing you.
A tiny team cannot watch dashboards all day, and the first sign of trouble is often a user email. The goal is the smallest set of checks that catches a real outage and reaches a phone before the founder is tagged on social media.
For a solo founder or a two-person team, the scarce resource is not money — it is attention. Every alert you create is a future interruption, so the discipline is to add only checks you would actually act on tonight. Start with the app's main entry point, one content check on the flow that defines your product (sign-up, the core action), and a heartbeat on the invisible job that would embarrass you most if it stopped — usually transactional email. Route everything to one Slack channel you already read, add a retry threshold so a single blip stays quiet, and expand only when a real incident shows you a gap. A small, trusted set of alerts beats a comprehensive set you have learned to ignore.
Start with one HTTP check on the app, one content check on a critical flow, and one heartbeat on the job that sends transactional email. Send alerts to a Slack webhook channel everyone already watches and resist adding checks you will not act on.
More checks are not better when nobody triages them. A handful of high-signal checks with a clear owner beats fifty noisy ones that train the team to ignore alerts.
List the endpoints, jobs, and components where an outage would reach the people you serve. Keep the first pass to production.
Use HTTP or content checks for web surfaces, TCP for raw ports, SSL certificate checks for HTTPS expiry, and heartbeats for scheduled work.
Put production, staging, and per-client checks in their own groups so routing and noise stay under control.
Adjust intervals and retry counts once real data shows which alerts were signal and which were noise.
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