Know about an outage before your customers do.

A self-hosted Uptime Kuma instance is the backbone of our monitoring stack. It sits on infrastructure we control, probes your sites and services on a 60-second interval, and keeps a year of historical uptime data we can refer back to when anyone questions the numbers. Self-hosting keeps the recurring cost flat as your service count grows, removes the third-party SaaS dependency, and gives us full control over the probe configuration. We install it, harden it, configure your monitors, and document the credentials.

A second monitoring service running entirely outside our infrastructure — UptimeRobot, Better Stack, or a comparable provider — checks your public endpoints from multiple geographic regions every minute. The redundancy matters: if our monitoring host itself goes down, the external service still catches the outage. We configure synthetic checks against the URLs that actually matter to your business — homepage, login, checkout, key API endpoints — not just an HTTP 200 from the front door.

For clients who want it, we publish a branded status page reflecting the live state of their services — green, degraded, or down — with a public history of recent incidents. It deflects the inbound “is the site down?” emails during outages, gives your customers a place to confirm they aren’t imagining things, and signals operational maturity to enterprise prospects evaluating your reliability. We host it, brand it, and keep it accurate.

An alert that nobody acts on is worse than no alert at all — it teaches the team to ignore the channel. We route alerts to the people who can actually do something about them, through the channels they actually read: email for low-severity warnings, Slack or DingTalk for active issues, SMS or phone for production-down events. Alerts are deduplicated so a single outage doesn’t generate forty pages, and they are enriched with context — which monitor fired, what it was checking, what the recovery threshold is — so the on-call engineer doesn’t start from zero.

CPU, RAM, disk, and swap on every server we manage, sampled every minute and graphed over time. Resource monitoring is what catches the slow leaks — a memory leak in a PHP-FPM worker, a runaway log file silently filling the disk, an OOM-killer about to evict the database. We set thresholds calibrated to each host’s actual workload, alert on sustained pressure rather than transient spikes, and keep enough history that we can show you the week-over-week trend, not just today’s snapshot.

A site can be technically “up” while half the visitors hit a 502 — and a synthetic ping from one location won’t catch it. We ship server logs into a searchable index, surface error spikes, and where appropriate add a lightweight real-user monitoring (RUM) script that captures actual visitor experience: page-load times, JavaScript errors, failed API calls. The combination is the only way to know what your users are genuinely seeing rather than what your status page is claiming.

When an alert fires during business hours, a human is on it within minutes. We diagnose, communicate, and resolve — and afterwards we write a brief postmortem covering what happened, what fixed it, and what we are changing so it doesn’t recur. We are honest about the boundaries: this is reliable same-day incident response, not a 24×7 NOC. Outside business hours, monitoring still runs and still alerts, and clients on a maintenance retainer have defined response commitments. For genuine 24×7 paging, we’ll tell you and help scope an appropriate provider.

Each month we send a one-page operational review: uptime against your defined SLO, the number and severity of incidents, mean time to detection, mean time to recovery, and the resource trends worth watching for the month ahead. The review is short by design — three minutes to read, no jargon, no chart-heavy filler. It is the document that tells you, in plain English, whether the infrastructure is healthier or weaker than it was last month, and what we are doing about it.