Global Synthetic Monitoring & SLA Enforcement Engine

Principal Automation Architect · 2017 - 2020

Platform & Infrastructure2017 - 2020

Built a geographically distributed synthetic transaction engine running across 20+ AWS regions to continuously assert critical SaaS workflows and SLA compliance.

Node.jsPuppeteerAWS Lambda@EdgePrometheusTerraformPagerDuty

Situation

Traditional HTTP ping checks failed to catch complex frontend application states, localized CDN routing failures, and third-party authentication drops that selectively impacted real users in specific geographic regions.

Task

Build an edge-deployed synthetic transaction runner capable of executing real browser flows every 60 seconds across global points of presence to detect availability degradations before customers report them.

Action

  • Serverless Edge Execution: Package headless browser scripts into lightweight AWS Lambda@Edge handlers deployed via Terraform across 20+ global regions.
  • Intelligent Alerting Pipeline: Streamed real-time trace metrics, network waterfalls, and error screenshots to Prometheus and Grafana, feeding automated PagerDuty incident escalations.
  • SLA Validation Rules: Implemented assertion gates verifying p99 DOM interactive times, API latency, and authentication token lifecycle thresholds.

Result

  • Achieved sub-60-second MTTD (Mean Time to Detect) for global CDN and edge routing failures.
  • Ensured strict adherence to customer 99.99% enterprise SLA agreements.