Metrics & Dashboards
Prometheus + Grafana or Datadog setup. Custom dashboards that tell a story, not just show numbers.
- Prometheus/Thanos/Mimir setup
- Grafana dashboards (as code)
- Datadog implementation
- Custom metric instrumentation
Observability & Monitoring
Prometheus, Grafana, or Datadog stacks with SLOs that reflect what users actually feel — and alerts that wake the right person for the right reason. On-call becomes calm instead of chaos.
100+ alerts per day, most noise. Your team ignores them all — including the real ones.
Users report issues before your monitoring catches them. You're debugging in production with no data.
Metrics, logs, and traces in different tools. Connecting a slow endpoint to a database query takes hours.
Incidents take hours to resolve because nobody knows where to look. No runbooks, no context, no dashboards.
Prometheus + Grafana or Datadog setup. Custom dashboards that tell a story, not just show numbers.
Centralized logging that scales. Fast search, retention policies, correlation with traces.
See requests flow through your microservices. Find the slow service, the failing dependency, the bottleneck.
Define what "good" looks like. Track availability, latency, and throughput against targets that matter to users.
Fewer, better alerts. Actionable, routed correctly, with context and runbooks attached.
Observability bills can explode. We optimize cardinality, retention, and sampling to cut costs without losing visibility.
-85%
Consolidated and tuned a SaaS company's alerts from 120/day to 18/day. Every alert now has a runbook and clear owner.
4 min
Implemented end-to-end tracing for a fintech. Issues now detected in 4 minutes vs. 45 minutes (when users complained).
-40%
Optimized metric cardinality and log ingestion for an e-commerce platform. Same visibility, $8k/month less.
Prometheus/Grafana: Open-source, no per-host pricing, full control. Better for teams who want to own their stack. Datadog: All-in-one, less operational overhead, better for teams who want managed. Cost can grow fast with scale.
If you have microservices, yes. Without tracing, debugging cross-service issues means correlating timestamps across logs — painful and slow. Tracing shows you the exact path of a request.
Start simple: availability (e.g., 99.9% of requests succeed) and latency (e.g., p99 < 500ms). Add more as you learn what users care about. We help define SLOs that actually reflect user experience.
Carefully. High cardinality (too many unique label combinations) kills Prometheus and inflates Datadog bills. We audit, reduce, and implement recording rules to keep cardinality manageable.
We'll assess your current monitoring, identify blind spots, and show you how to build observability that actually helps during incidents.
Get Your Free Observability Audit