From server metrics to business journeys.
CPU graphs do not tell you that checkout is 900ms slower for customers on one gateway. We instrument the journey — browser to database — and report performance per transaction, per channel and per release.
The service includes regression detection on every deployment, capacity forecasting ahead of campaign peaks, and remediation advice specific enough to be actioned by the owning squad.
End-to-end tracing
Real-user monitoring joined to backend traces, so slow journeys are attributed to a component.
Release regression gates
Every deployment compared against baseline latency and error rate before it is declared stable.
Capacity forecasting
Load modelling ahead of campaigns, month-end and regulatory reporting peaks.
Monthly performance review
One report: journey health, top regressions, capacity outlook, actions with owners.
How the service runs
Instrument
Agents and RUM deployed, critical journeys defined with the business, baselines captured.
Stabilise
Top regressions and hot spots addressed; alert thresholds tuned to real user impact.
Operate
Continuous monitoring, release gating and capacity tracking against agreed SLOs.
Review
Trend review with engineering and business owners; SLO targets re-set if needed.
