Cloud & DevOps

Monitoring & Observability

See everything, catch issues before users do - with centralized logs, metrics dashboards, distributed tracing, and alerting wired to your on-call workflow.

Trusted by companies that ship production software on deadline

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What's included

Everything you need, nothing you don't

We scope each engagement precisely so you get senior-level work on the capabilities that matter.

  • Centralized logging

    Structured logs aggregated from every service - searchable, retained, and correlated with traces and metrics in one place.

  • Metrics dashboards

    Real-time Grafana or Datadog dashboards for CPU, latency, error rates, and business KPIs - visible to engineering and leadership.

  • Distributed tracing

    End-to-end request flows across microservices - pinpoint slow spans, failed dependencies, and bottlenecks in seconds.

  • Alerting rules

    Threshold and anomaly-based alerts routed to PagerDuty or Slack - with runbooks and escalation policies that reduce noise.

  • SLO/SLA tracking

    Error budgets, burn-rate alerts, and uptime reports - so you know when reliability is at risk before customers complain.

  • Incident response

    On-call rotations, postmortem templates, and status page integration - so outages are resolved fast and learned from.


From blind spots to full observability

We instrument your stack systematically - logs, metrics, and traces first, then alerts and SLOs - so every production issue is diagnosable.

  • Week 1: Observability audit & design

    We map your services, identify monitoring gaps, and design a telemetry architecture with retention, cost, and alert thresholds.

    Learn more
  • Weeks 2-6: Instrument & dashboard

    Log aggregation, metric exporters, and trace propagation ship incrementally - each sprint delivers dashboards you can use immediately.

    Learn more
  • Launch: Alert, respond & iterate

    We configure on-call routing, SLO tracking, and runbooks - plus documentation so your team can tune alerts and respond confidently.

    Learn more
Pablo
Renting is local, so search had to understand a place and a date range as one question rather than two filters. Mirimera built the marketplace and the software our suppliers run on, and because it is one system underneath, nothing has ever had to be kept in sync.

- Pablo

CEO, Big Rentals

Tech stack

Observability stack we deploy

Production-proven monitoring and alerting tools - integrated with your cloud, containers, and on-call workflows.

  • Datadog

    Datadog

    Unified platform for metrics, logs, traces, and APM - with out-of-the-box integrations for cloud and containers.

  • Grafana

    Grafana

    Open-source visualization for metrics dashboards, alerting, and correlation across Prometheus, Loki, and Tempo.

  • Prometheus

    Prometheus

    Time-series metrics collection and alerting - the standard for Kubernetes and cloud-native observability.

  • ELK Stack

    ELK Stack

    Elasticsearch, Logstash, and Kibana for centralized log search, aggregation, and visualization at scale.

  • PagerDuty

    PagerDuty

    Incident management and on-call scheduling - route alerts to the right engineer with escalation and status updates.

  • OpenTelemetry

    OpenTelemetry

    Vendor-neutral instrumentation for traces, metrics, and logs - portable telemetry across any backend.

Ready to see everything in production?

Book a free 30-minute call. We'll audit your observability gaps, recommend the right stack, and outline a realistic timeline.