Uptime Monitoring for Builders
Most teams find out their app is down when a customer emails to ask why it is broken — by then it has already been down for however long nobody was watching. This course teaches you how synthetic uptime monitoring actually works, how to set up your first real check and alert, how to choose between Better Uptime, UptimeRobot, Pingdom, New Relic, Grafana Cloud, and Checkly, how to design alert escalation that does not wake nobody or everybody, and how to run a public status page that keeps users informed during an incident instead of guessing. By the end you will have a real check watching a real endpoint, with an alert that actually reaches you.
What you'll learn
Course outline
Free — no account needed
Why Waiting for a Customer to Tell You Fails
The outage you do not know about is the most expensive kind
How Uptime Checks Actually Work
Check locations, intervals, protocols, and the false positives that erode trust
Setting Up Your First Check and Alert
From zero to a real monitor watching a real endpoint, with an alert that actually reaches you
Full course — $59 one-time
Choosing an Uptime Monitoring Tool
Better Uptime, UptimeRobot, Pingdom, New Relic, Grafana Cloud, Checkly — what actually differs
Designing Alert Escalation That Works
Routing that does not wake nobody and does not wake everybody
Status Pages and Incident Communication
Turning "is this company dead?" into "they know, they are on it"
Monitoring as Code and Multi-Step Checks
Beyond simple up/down — verifying that login and checkout actually work
The Production Uptime Monitoring Checklist
Coverage, escalation, and the test most teams never actually run
Get the full course
8 lessons — from your first real check to production-grade escalation, status pages, and monitoring as code.
About this course
Most teams find out their app is down when a frustrated customer emails to ask why — by then it may have already been down for hours with nobody watching. Learning uptime monitoring means understanding how synthetic checks actually work across locations, intervals, and protocols, how to set up a real check and alert that you have actually tested with a forced failure, how to design alert escalation with severity tiers so the system does not wake nobody or everybody, and how to run a status page that keeps users informed during an incident instead of guessing.
This course is for anyone whose honest answer to "how would you find out if this went down right now" is "a customer would tell me." After completing it you will be able to set up a real check and a tested alert path, choose between Better Uptime, UptimeRobot, Pingdom, New Relic, Grafana Cloud, and Checkly based on alerting depth and price, design escalation tiers that route critical outages to the right person without alert fatigue, run a public status page, and build a multi-step browser-based check that catches a broken checkout flow even when every individual page still returns 200.
Frequently asked questions
Why is waiting for a customer to report downtime a bad monitoring strategy?
An outage that starts at 2am is invisible until someone opens the app at 8am and emails support — six hours of downtime nobody acted on, and a flaky endpoint that fails 1 request in 20 rarely generates a support email at all even though it is costing conversions or reliability every day. Synthetic monitoring runs a check on a schedule completely independent of whether any real user happens to be looking.
Why do uptime monitors check from multiple regions instead of just one?
A request sent from a single region only tells you the service is reachable from there — a network blip local to that one region can trigger a false alert that has nothing to do with your service actually being down. Requiring agreement across multiple regions before declaring an outage, combined with sane retry logic, is what keeps alerts trustworthy instead of becoming noise everyone learns to ignore.
How should I decide what severity tier an alert gets?
A fully-down customer-facing endpoint like checkout should page immediately via SMS or phone call with an escalation step if unacknowledged in 10–15 minutes. A degraded-but-not-fully-down issue should go to a team channel for same-day review. Treating every alert like a customer-facing emergency trains people to mentally mute pages — including the one time it is real.
Why do I need a status page if my monitoring already alerts my team?
A status page is the highest-leverage thing you can do for affected users during a real outage — a user who hits an error with zero context cannot tell a 4-minute blip from an abandoned product. A one-line acknowledgment posted within minutes, even before the root cause is known, changes that perception completely and reduces support load at the same time.
Why is a simple "does the page return 200" check not enough for something like checkout?
A page can return 200 while a JavaScript error silently breaks the checkout button, or a multi-step flow can fail partway through while every individual page loads fine on its own. Browser-based or multi-step monitoring — like Checkly's Playwright-based checks — runs the actual sequence of clicks and form fills on a schedule, catching breaks that a single HTTP request would miss entirely.