System Design Blueprint.
Interactive breakdowns of structural design decisions, cloud scaling models, cost efficiency boundaries, and deployment configurations.
Event-Driven Global Uptime & SSL Monitoring Engine
Trigger Scheduler
AWS ECS Scheduled Task
Cron checks at 30s intervals
↓ Distributes Checks
Queue Broker
Redis Queue (BullMQ)
Managed task queues
↓ Polls Jobs (Auto-scales)
Fargate Node A
Async DNS Override
dns.resolve4 resolver
Fargate Node B
TLS socket auditor
SNI certificate inspection
↓ Persists Logs
Telemetry Storage
PostgreSQL (TimescaleDB)
Optimized time-series metrics
Scaling Decisions
- Eliminated libuv thread lock contention on concurrent uptime queries by overriding standard DNS resolution with async UDP-based dns.resolve4.
- Scaled task polling clusters dynamically by deploying Fargate instances integrated with BullMQ queue size monitors.
- Engineered non-blocking raw socket connection queries for certificate and response monitoring to reduce thread footprint.
Cost Optimization
- Enabled Fargate spot pricing models, cutting active worker node costs by 70% in staging and dev environments.
- Integrated localized DNS and connection caching logic, reducing API requests and external lookups.
- Configured automatic TimescaleDB compression policies for raw records older than 7 days, maximizing storage capacity.
Monitoring Stack
- Tracks endpoint status (uptime, TLS configurations, SSL expiry warnings, response time).
- Applies a moving Z-score latency checker across historical check distributions to suppress noise and filter out network jitter.
- Integrates multi-channel notifications (Email, SMS, Slack, Discord webhook hooks) to warn developers of outages.
CI/CD Pipeline
- GitHub Workflows build multi-platform Docker container packages, pushing to AWS ECR.
- Triggers rolling blue-green container service rollouts on ECS via task definition updates.