From Weekly Outages to 99.99% Uptime: A Monitoring Case Study

When a client first came to us, they had a painful routine: the site would go down, customers would email or tweet, and only then would anyone investigate. They were finding out about outages from the people least happy to deliver the news. Three months later they were at 99.99% uptime. Here’s what changed.

The real problem wasn’t the outages

It was that nobody knew about them until the damage was done. Without monitoring, every incident started cold: no alert, no context, no idea how long it had been down. Mean time to recovery was measured in hours.

Step one: see everything

We instrumented the stack from the outside in:

• External uptime checks for the site, key pages and APIs from multiple locations
• Resource monitoring — CPU, memory, disk and network — with trend tracking
• Service-level checks for the web server, database and critical background jobs
• Disk-space and certificate-expiry alerts (two boringly common causes of downtime)

Step two: alerts that reach a human

Monitoring is only useful if someone acts on it. We routed alerts so the right person is notified within seconds — and, crucially, so we get them too and can respond before the client even notices.

Step three: fix the recurring causes

The data revealed the patterns. Most outages traced back to a disk filling with logs and a memory leak in one application. Both were addressed permanently. With the obvious causes gone and monitoring catching the rest early, uptime climbed and stayed there.

Reliability isn’t luck. It’s visibility plus a fast response to what you see. You can’t fix what you can’t measure — and you certainly can’t fix it if your customers are your monitoring system.

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#alerting #reliability #server monitoring #uptime