Server and application monitoring setup
Monitoring that wakes a person instead of drawing pretty graphs. Alerting, dashboards, log aggregation and calibrated thresholds.
What's included
- Availability and scenario checks
- Server and application metrics
- Alerting to chat, email, SMS
- Grafana dashboards
- Centralised log collection
- Threshold tuning against false alarms
- Incident history and postmortems
Monitoring exists for exactly one reason: so that you hear about a problem before your customers do. Everything else — graphs, dashboards, a nice panel on an office screen — is a pleasant side effect. If the system didn't wake the right person at the right moment, it failed, however detailed the dashboard looked.
That leads to the two classic mistakes. The first is watching only whether the homepage loads: a site can be perfectly available while payments have been failing for a week. The second is configuring so many alerts that nobody reads them. A hundred notifications a day guarantees the real outage gets scrolled past with everything else.
How we work
- Establish what's critical. We work out which failures actually cost money: payments, the enquiry form, the customer area, a data exchange with an external system. We monitor business functions, not just the server.
- Scenario checks. Beyond an availability ping, we script the key journeys: a test order, a form submission, a login.
- Infrastructure metrics. CPU, memory, disk, response times, error rates, queue depth and background job status. Disk space belongs on that list — a full disk takes systems down more often than people expect.
- Alert routing. We define the paths: what goes to chat, what is mirrored to email, what has to ring a phone at night. Different severities wake different people.
- Threshold tuning. The longest part of the job. Thresholds are set from several weeks of real data so alerts fire on genuine problems rather than on ordinary load variation.
- Logs and review. We centralise logs so there's somewhere to look after an incident, and set up a postmortem template — a short write-up for each outage.
What you get
A system that catches problems ahead of your customers, and a clear history: what happened, when, and for how long. A dashboard that shows service health without anyone having to ask. More importantly, an absence of noise — alerts arrive rarely, and each one means something needs doing.
Setting up monitoring is one-off work: we build the system and hand it over. If you need not just monitoring but someone who responds to what it reports, that's technical support with an on-call engineer, or 24/7 cover with an SLA if that response has to happen at night. For applications with queues and background jobs see web application support.
Timeline
Basic setup takes a few days to a week: availability checks, metrics, alert routing. Then comes calibration — two or three weeks of observation during which thresholds are tuned until the alerts stop lying. That stage can't be skipped: uncalibrated monitoring quickly turns into noise, and noise gets switched off.
A typical scenario
Consider a service with a homepage availability check that faithfully reports one hundred percent uptime. Meanwhile the background job that sends notifications stopped three days ago because the disk filled up. Formally everything is green; in practice part of the product is dead. Properly configured monitoring catches that within the first hour, because it watches for jobs completing successfully rather than for whether a web server answers.