Observability, monitoring and alerting

When something breaks, the difference between a five-minute blip and a five-hour outage is how quickly you can see what changed and why. We give your team the telemetry, alerts and routines to find and fix problems fast.

Sound familiar?

The problems we solve

  • Customers report outages before your monitoring does.
  • On-call engineers get dozens of noisy alerts and have stopped trusting them.
  • Logs, metrics and traces live in different tools with no way to connect them.
  • Observability bills keep growing faster than traffic.
Deliverables

What you get

  • SLOs and error budgets

    User-centric service level objectives for your critical journeys, agreed with product and engineering.

  • Alerting that pages for the right reasons

    Multi-window burn-rate alerts with runbooks, routed to the right team.

  • Instrumentation

    OpenTelemetry for traces, metrics and structured logs with correlated IDs.

  • Dashboards

    Golden-signal dashboards per service with deploy annotations and drill-downs.

  • Incident process

    Roles, runbooks, post-incident reviews and game days.

Tools we use

  • OpenTelemetry
  • Prometheus
  • Grafana
  • Loki
  • Tempo
  • Datadog
  • New Relic
  • CloudWatch
  • Cloud Monitoring
  • Azure Monitor
  • PagerDuty
How it works

A typical engagement

  1. 01

    Baseline

    Review current telemetry, alerts and recent incidents.

  2. 02

    Define

    Pick critical user journeys and set SLOs for them.

  3. 03

    Instrument

    Roll out instrumentation, alerts and dashboards service by service.

  4. 04

    Practice

    Run a game day and refine alerts and runbooks with your on-call team.

Available as on-demand hours, a monthly retainer or a fixed-scope project. Compare engagement models.

Frequently asked questions

Do we need to change vendors?

No. We work with your current stack where it fits. Instrumenting with OpenTelemetry keeps you free to switch backends later.

Can you reduce our observability costs?

Usually yes — through sampling, dropping unused high-cardinality data and tiered retention, without losing the signals you rely on.

Related reading

Other services

Contact us

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