Software · Cloud and infrastructure
Observability platforms
Metrics, logs and traces in one place, with alerts that tell your team what broke and where to look.
When something breaks, teams lose most time working out where. We instrument applications with OpenTelemetry, collect metrics, logs and traces into Prometheus, Loki, Tempo or a hosted platform, and define service level objectives so alerts fire on real user impact rather than every CPU spike, each linked to the dashboard and run-book that explain it.
What we build
- OpenTelemetry instrumentation for services, queues and databases
- Metrics, logs and traces pipelines into Prometheus, Loki and Tempo
- Service level objectives with error budgets and burn-rate alerts
- Grafana dashboards per service, per team and for the business view
- On-call routing and escalation through PagerDuty or Grafana OnCall
- Synthetic checks and real-user monitoring for key customer journeys
- Log retention and sampling rules that keep storage costs under control
DemoInteractive · sample data
Try it live.
A working sample with made-up data. It runs in your browser; nothing is sent anywhere.
- Requests/min4,820
- p95 latency212 ms
- Error rate0.4 %
- Error budget left73 %
What it does well
Correlated signals
Jump from an alert to the exact traces and log lines for the same request.
SLO-based alerts
Pages go out when users are affected, not for every short-lived spike.
Vendor neutral
OpenTelemetry keeps instrumentation portable between open-source and hosted backends.
Cost controls
Sampling, retention tiers and label limits stop telemetry bills from growing unnoticed.
Run-book links
Each alert carries the steps to diagnose it, written by the people who built the service.
Business views
Orders, sign-ups and payments sit beside technical metrics on the same screen.
Questions
Open-source stack or a hosted platform?
Hosted platforms like Datadog or Grafana Cloud start fast and need little upkeep, but costs grow with data volume. A self-run Prometheus, Loki and Tempo stack costs effort instead. With OpenTelemetry in your code you can start with one and move later without re-instrumenting.
We get too many alerts. Can you fix that?
Yes. We review which alerts led to real action, remove or merge the noisy ones, and move paging to service level objectives based on the errors and latency users feel. Everything else becomes a ticket or a dashboard, not a phone call at night.
Do you need to change our code?
A little. Many languages get useful traces from OpenTelemetry auto-instrumentation alone. We then add a few manual spans and business attributes, such as order or tenant ID, where they make debugging much faster.