Operations Infrastructure | Platinum Eagle

Executive Infrastructure Summary

Our operations infrastructure is built on cloud-native principles with comprehensive monitoring, alerting, and automated scaling to ensure 99.99% uptime, sub-100ms response times, and seamless handling of peak demand periods.

┌─────────────────────────────────────────────────────────────────┐ │ OBSERVABILITY PLATFORM │ ├─────────────────┬─────────────┬─────────────┬─────────────┬─────┤ │ Monitoring │ Logging │ Tracing │ Alerting │ SLOs │ │ │ │ │ │ │ │- Prometheus │- Loki │- Jaeger │- Alertmanager│- SLI │ │- Grafana │- Fluentd │- OpenTelemetry│- PagerDuty │- SLA │ │- Thanos │- Elasticsearch│- Zipkin │- OpsGenie │- Error│ │ │ │ │ │ Budget│ └─────────────────┴─────────────┴─────────────┴─────────────┴─────┘ │ ┌─────────────────────────────────────────────────────────────────┐ │ METRICS COLLECTION │ ├─────────────────┬─────────────┬─────────────┬─────────────┬─────┤ │ Infrastructure │ Application │ Business │ Synthetic │ User │ │ Metrics │ Metrics │ Metrics │ Monitoring │ RUM │ │ │ │ │ │ │ │- CPU/Memory │- Response │- Bookings │- Uptime │- Page│ │- Network │ Time │- Revenue │- Checks │ Load│ │- Disk │- Error Rate │- Conversion │- E2E Tests │- TTFB│ │- Cloud Services │- Throughput │- User Growth│- API Tests │- FID │ └─────────────────┴─────────────┴─────────────┴─────────────┴─────┘ │ ┌─────────────────────────────────────────────────────────────────┐ │ DATA PROCESSING & STORAGE │ ├─────────────────┬─────────────┬─────────────┬─────────────┬─────┤ │ Time Series │ Log Storage │ Metrics │ Dashboards │ Alert│ │ Database │ │ Processing │ │ Mgmt │ │ │ │ │ │ │ │- Prometheus TSDB│- Loki │- Stream │- Grafana │- Rule│ │- InfluxDB │- Elastic │ Processing │- Datadog │ Eval│ │- TimescaleDB │- S3/GCS │- Aggregation│- Custom │- Notif│ │- VictoriaMetrics│- BigQuery │- Correlation│- Executives │- Esc. │ └─────────────────┴─────────────┴─────────────┴─────────────┴─────┘

Key Infrastructure Capabilities

Real-time Monitoring

Comprehensive monitoring of infrastructure, application, and business metrics with sub-second resolution for immediate visibility into system health.

Distributed Tracing

End-to-end request tracing across our microservices architecture enables rapid identification and resolution of performance bottlenecks.

Automated Scaling

Intelligent auto-scaling based on real-time metrics ensures optimal resource utilization during both peak and off-peak periods.

Proactive Alerting

ML-powered anomaly detection identifies potential issues before they impact users, with automated escalation to the appropriate teams.

Technology Implementation

Our operations infrastructure leverages industry-leading open-source and cloud-native technologies to provide enterprise-grade reliability and performance.

# Prometheus Monitoring Configuration global: scrape_interval: 15s evaluation_interval: 15s alerting: alertmanagers: - static_configs: - targets: ['alertmanager:9093'] rule_files: - "alerts/*.yml" scrape_configs: - job_name: 'booking-service' metrics_path: '/metrics' static_configs: - targets: ['booking-service:8080'] labels: service: 'booking' environment: 'production' - job_name: 'tour-service' metrics_path: '/metrics' static_configs: - targets: ['tour-service:8080'] labels: service: 'tour' environment: 'production' - job_name: 'ai-service' metrics_path: '/metrics' static_configs: - targets: ['ai-service:8080'] labels: service: 'ai' environment: 'production'

Business Impact

99.99% Platform Uptime

Enterprise-grade reliability ensures customers can book tours 24/7/365, maximizing revenue opportunities.

67% Reduction in MTTR

Mean Time To Resolution for incidents has been dramatically reduced through automated detection and diagnostics.

42% Lower Infrastructure Costs

Intelligent auto-scaling and resource optimization have significantly reduced cloud infrastructure expenses.

3x Faster Development Cycles

Comprehensive observability enables developers to identify and fix issues faster, accelerating feature delivery.