This is an anonymized career engagement. The client is anonymized to protect confidentiality; full case detail and references are shared under NDA.
Synthetic Monitoring Reset
Reduced synthetic false-positive alerts by 71% through location regionalization and dependency-aware alert correlation across Catchpoint and Dynatrace.
Outcome at a Glance
The Challenge
A US telco was running 300+ Catchpoint synthetic monitors across 40 regions, but their on-call engineers had stopped trusting the page. Too many false positives. Real customer-facing outages were getting buried under regional noise from carrier-network conditions outside the company's control.
- Regional noise: Single-location failures triggering global alerts, even when most users were unaffected.
- No dependency awareness: Synthetic alerts firing simultaneously when an upstream service degraded, masking the real incident.
- On-call disengagement: Engineers acknowledging-and-ignoring synthetic pages within seconds — eroding the value of the entire monitoring layer.
- Drift-prone configuration: Hundreds of monitors hand-edited in the UI, with no source of truth and no review process.
Our Approach
Location regionalization
Reorganized 40 monitoring locations into geographic clusters with consensus thresholds. A single bad node no longer pages globally.
- • 5-cluster topology (NA-East, NA-West, EU, APAC, LATAM)
- • Cluster-consensus thresholds (3-of-5)
- • Carrier-aware location grouping
Dependency-aware correlation
Wired synthetic alerts into Dynatrace's service topology so that downstream synthetic failures suppress against an upstream root-cause incident.
- • Shared problem context across tools
- • Suppression rules during upstream incidents
- • Single-incident view for on-call
Monitors-as-code
Migrated all monitor definitions out of the UI into a git-backed source of truth. Changes go through pull request review.
- • Catchpoint API + Terraform provider
- • PR-based change review
- • Automated drift detection
Alert tier reset
Reclassified every monitor by customer impact. Pageable alerts went only to monitors mapped to a real user-facing outcome.
- • 3-tier severity model
- • Page-only on customer-facing flows
- • Slack-route for warnings
Detailed Results
Before
- • 71% false-positive rate on synthetic pages
- • Single-location failures paging globally
- • Hand-edited monitor configuration
- • On-call ignoring synthetic alerts
After
- • 71% reduction in false positives
- • Regional consensus before global page
- • Git-backed monitor definitions
- • ~4 hours/week on-call time recovered
Got synthetic alert fatigue?
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