Organise monitoring around service outcomes
Start with the essential journeys: clients connect, account information is available, required price streams remain current and connected business systems exchange their intended records. Define an observable check for each journey and state what it does not prove. A successful network connection is not a full trading or account-management test.
Choose checks that are supported by the actual deployment and safe to run at the agreed frequency. Some operations belong in a scheduled test environment rather than an unattended production probe. Record the service owner who can interpret a failed check.
Collect a workload-aware infrastructure baseline
| Signal group | Useful context |
|---|---|
| Compute and memory | Busy periods, co-located tasks and changes in the operating workload |
| Storage | Latency, capacity, growth and the timing of backups or exports |
| Network | Regional paths, disconnects and connection variability |
| Application | Client access, request queues, integration outcomes and data freshness |
Keep a baseline from normal operation and compare like-for-like periods. A fixed resource threshold can be useful, but it is rarely enough to distinguish expected workload from a developing incident. Record configuration changes alongside the metrics.
Make each alert actionable
An alert should identify the affected service, observed symptom, duration and first safe check. Assign a responder and escalation route. Differentiate an isolated warning from a client-impacting incident, and use suppression carefully so one failed dependency does not generate a misleading flood of independent alarms.
Illustrative example: a data source stops updating several related instruments. Separate alerts for every downstream symbol may obscure the common dependency. A feed-level incident with affected-contract context helps the operator investigate the source while retaining visibility of client impact.
Review missed incidents and noisy alarms
- After an incident, compare the first useful alert with the actual start of the symptom.
- Identify which checks were absent, misleading or too noisy.
- Test that the escalation contact and runbook remain usable.
- Review service additions and new client regions for monitoring gaps.
- Check retention and access controls on collected logs and telemetry.
For an MT4 operating environment, include the legacy integrations your team relies on. For MT5, align coverage with the proposed server roles and regional access paths. Agree monitoring ownership explicitly: a dashboard existing somewhere does not mean that someone is watching and authorised to respond.
Monitoring ownership questions
Is a dashboard the same as an incident-response service?
No. Identify who receives alerts, when they respond, what access they have and when they escalate. A dashboard without a responsible operator may be useful for later analysis while providing little protection against an active client-impacting incident.
Should every warning trigger an urgent notification?
Choose urgency from likely impact and required action. Excessive alerts make meaningful incidents harder to identify. Review thresholds, grouping and suppression against real events, preserving visibility into affected services rather than simply disabling noisy checks.