Incidents caught in minutes, not as customer complaints pile up
· Service 04
Process monitoring
You find out before your customer does
Real-time observability over your technical and business operation. We instrument metrics, logs, and distributed traces with live dashboards, proactive threshold alerts, and SLOs agreed with you. You find out what's failing before your customer does, with enough context to act instead of firefighting blind.

· What we offer
Monitoring is the difference between a production system and an extended demo. We instrument your stack with technical metrics (latency, errors, resources) and business ones (transactions, conversions, drop-off), centralize logs with useful search and filters, distribute traces to follow a request's cascade, and set up alerts that wake the right people with enough context to act. We define realistic SLOs, not idealistic ones.
· Benefit
What your business gains
Lower MTTR (mean time to recovery) with specific dashboards and runbooks
Executive visibility with business metrics, not only technical ones
A culture of measurable SLOs instead of verbal uptime promises
· Typical projects
What they look like
- 01Full observability setup: metrics + logs + traces for a critical product
- 02Live dashboards with technical and business KPIs on operations screens
- 03SLO definition with an error budget for release governance
- 04Alert setup with escalation policies and on-call rotation
- 05Data-backed postmortems when a real incident happens
· Adaptation
How it fits your needs
Every project is different — team, budget, timeline and technical maturity decide the right path. These are the adjustments we make most often:
If you already use Datadog/New Relic: we work on your current platform
If you want self-hosted: a Grafana + Prometheus + Loki + Tempo stack
If your team is small: focused alerts and runbooks for the most frequent incident
If your team is large: governance with per-service SLO policy and rotating on-call
· Stack
The tools we typically work with for this service. The choice depends on the client's context.
· Let's talk
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