DevOps
Metrics & Monitoring
Know what your systems are doing — before your users tell you something is wrong. We build full-stack observability platforms that give engineering teams real-time insight into every layer of their infrastructure and application.
The Three Pillars of Observability
Metrics
Time-series numerical data — CPU, memory, request rates, error rates, latency percentiles. Aggregated for dashboards and alerting.
Logs
Structured event records from every service. Centralized, searchable, and correlated with traces and metrics.
Traces
Distributed request tracing to visualize how requests flow through microservices and identify bottlenecks.
What We Build
- Prometheus & Grafana Stacks — End-to-end setup with custom exporters, recording rules, and executive-ready dashboards.
- Alerting & On-Call Workflows — Intelligent alerting with PagerDuty or OpsGenie integration, escalation policies, and runbook links.
- Distributed Tracing — OpenTelemetry instrumentation across your services with Jaeger or Tempo for trace visualization.
- Centralized Log Management — Structured logging pipelines with ELK/EFK or Loki for fast full-text search across all services.
- SLO / SLA Tracking — Error budget dashboards and automated burn rate alerts so you can make data-driven reliability decisions.
- Cost Monitoring — Cloud spend dashboards and anomaly detection to prevent surprise bills.
Why Observability Before Incidents
The cost of building good observability upfront is small compared to the cost of debugging production issues blind. We wire observability into your systems from the beginning — not as an afterthought — so your team can understand, debug, and improve your platform continuously.