LAB
Observability & Reliability

Observability & Reliability

Understand service health through metrics, logs, and traces. We connect monitoring to journeys, targets, alerts, and runbooks.

Why?

Collecting more telemetry does not automatically improve reliability. Teams need signals they can interpret, alert owners, and tested steps for investigating and recovering services.

  • Signals tied to user impact

  • Alerts with an owner and action

  • Prepared incident response

Our process

  • Define user-centred service targets

    Define user-centred service targets

    Choose measurable availability, latency, and error indicators with explicit observation windows.

  • Instrument critical paths

    Instrument critical paths

    Add useful traces, metrics, and structured logs while limiting sensitive data collection.

  • Build dashboards and alerts

    Build dashboards and alerts

    Connect signals to actionable thresholds, owners, and routing rules rather than alerting on every fluctuation.

  • Validate failure scenarios

    Validate failure scenarios

    Run agreed controlled tests to check detection and recovery without unapproved production disruption.

  • Prepare incident response

    Prepare incident response

    Document investigation steps, escalation contacts, communication responsibilities, and recovery checks.

  • Hand over the improvement backlog

    Hand over the improvement backlog

    Review gaps and prioritise follow-up work; ongoing monitoring and on-call coverage require an agreed scope.

Questions?

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