Monitoring
24/7 infrastructure monitoring with Zabbix
CPU, memory, disk, network and service state are collected continuously. When a threshold trips our operations team is alerted, and in most cases the issue is handled before it reaches you.
- Continuous metric collection
- 24/7
- Automatic notification
- Threshold alerts
- Input for capacity planning
- Historical data
- Application-level monitoring
- Service checks
Why monitoring isn't just 'is the server up?'
A server answering ping does not mean it is working. The disk may be nearly full, memory pressure may have pushed it into swap, or the database service may have stopped while the OS stays up. To a user, all of these are outages.
Our Zabbix setup therefore measures layer by layer: hardware and resource metrics, operating system state, service status and application-level reachability, each with its own thresholds.
The second and less discussed benefit of monitoring is capacity planning. Without historical data, 'should I grow this server?' can only be answered by guesswork. With the monthly usage curve, peak-hour behaviour and growth rate in hand, the decision rests on measurement.
The third is incident investigation. When a slowness complaint arrives, the answer to 'what was happening at that hour?' lives in historical metrics. Did CPU peak, did the disk queue grow, did network traffic spike — without a record, the root cause is only ever guessed at.
- Hardware, OS, service and application layers monitored separately
- Threshold breaches automatically alert the operations team
- Historical data feeds capacity planning
- Metric history is used in incident investigation
- Backup job results are among the monitored items
Features
What is monitored
CPU utilisation
Instant utilisation, load average and peak-hour behaviour. Sustained high usage is the first signal for a capacity decision.
Memory and swap
Memory pressure and swap usage are tracked; a server that starts swapping slows down measurably.
Disk usage and queue
Utilisation thresholds warn before space runs out, and disk queue depth reveals a storage bottleneck.
Network traffic
Interface utilisation and anomalous traffic patterns — meaningful for both capacity and security.
Service state
Web server, database and application services are checked individually for whether they are running.
Backup jobs
Backup job outcomes are tracked, so a plan that has silently stopped running raises an alert.
FAQ
Frequently asked questions
What happens when an alert fires?
The alert goes straight to our operations team. Where intervention is needed the team investigates and acts, and if the event affects your service you are contacted. Most threshold alerts are resolved before any user notices.
Can we monitor my own application's metrics too?
Yes. Alongside standard system metrics we can add checks specific to your application: whether an endpoint responds, queue depth, job durations staying under a threshold. We decide together what to watch.
Can I access the metric history?
We share the relevant period's data for capacity reviews and incident investigations. When looking into a slowness complaint, the answer to 'what was happening at that hour?' usually surfaces in these records.
More
Related pages
- ScalingvCPU and RAM scalingIncrease your cloud server's vCPU and memory without a rebuild. Capacity planning driven by Zabbix metrics, planned maintenance windows and two-way scaling.
- SupportTechnical supportSupport requests reach the team that built your infrastructure. A 24/7 phone channel for critical incidents and proactive response driven by Zabbix alerts.
- High AvailabilityHigh availability (HA) architectureHA architectures with single points of failure removed: per-component redundancy, a defined failover scenario and regular rehearsals.
Let's plan your infrastructure together
Tell us what you need and we prepare a configuration and pricing specific to you. We don't sell fixed packages; we build the deployment, licensing and backup plan with you.