DevOps & Monitoring

Automated Observability Suite

End-to-end monitoring and alerting platform with anomaly detection, self-healing workflows, and instant Slack & PagerDuty notifications for a fintech client.

Industry

FinTech

Timeline

8 weeks

Services

DevOps Consulting · Monitoring & Alerting

Under 30s incident response

95% alert accuracy

MTTR reduced by 70%

01The Challenge

A UK fintech company was finding out about production problems from customer complaints. Their existing monitoring was a wall of noisy alerts that the team had learned to ignore — hundreds of notifications a week, almost none actionable. When real incidents happened, engineers spent the first hour just working out what was actually broken. For a financial product, every minute of undetected downtime was a compliance and reputation risk.

02What We Built

We built an end-to-end observability platform: Prometheus and Datadog for metrics collection, Grafana dashboards organised around user-facing services rather than individual servers, and SLO-based alerting that only fires when customer experience is actually degrading. Anomaly detection catches unusual patterns before they breach thresholds. For known failure modes, self-healing workflows restart services and rebalance load automatically — escalating to a human via Slack and PagerDuty only when automation can't resolve the issue.

03How We Delivered It

We spent the first two weeks instrumenting the platform and defining service-level objectives with the team — agreeing what 'healthy' actually means for each service from the customer's perspective. The alerting was then rebuilt from zero against those SLOs rather than migrating the old noisy rules. We ran the new and old systems side by side for a month, tuning until alert accuracy hit 95%, before decommissioning the legacy setup.

04The Outcome

Mean time to resolution dropped 70%. Incident response now starts in under 30 seconds — automation handles the known failures, and when humans are paged, the alert tells them exactly which service is degraded and why. In 18 months of operation since launch, no outage has gone undetected, and the on-call rotation went from the most-hated duty on the team to a manageable one.

Technology Used

PrometheusGrafanaDatadogPython

No undetected outages in 18 months of operation.

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