afana consulting, OpenTelemetry, APM consulting, metrics infrastructure, alerting strategy, SRE consulting, incident management, on-call optimization, SLO/SLI, Kubernetes monitoring, cloud monitoring" />
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Observability

We build observability stacks that give you real insight — not just dashboards full of noise. Distributed tracing, meaningful metrics, structured logging, and alerts that don't cry wolf. Know what's broken before your users do.

99.99% uptime 12ms p99 2.1B events/day

What We Deliver

🔍

Distributed Tracing

End-to-end visibility across your microservices. OpenTelemetry instrumentation that follows requests through every service, database call, and external API.

  • OpenTelemetry instrumentation
  • Jaeger / Tempo setup & configuration
  • Trace sampling strategies
  • Cross-service correlation
  • Latency analysis & bottleneck detection
📊

Metrics Infrastructure

Prometheus-based metrics that scale. Custom metrics that matter, dashboards that tell a story, and queries that don't timeout on high-cardinality data.

  • Prometheus / Thanos / Mimir setup
  • Custom metrics instrumentation
  • High-cardinality handling
  • Grafana dashboard design
  • PromQL optimization & training
📝

Centralized Logging

All your logs in one place, structured and searchable. ELK or Loki stacks that handle your volume without breaking the bank on storage costs.

  • ELK / Loki stack deployment
  • Structured logging implementation
  • Log aggregation pipelines
  • Search optimization & indexing
  • Retention policies & cost control
🚨

Alerting Strategy

Alerts that wake you up for real problems, not noise. We design alerting that respects your on-call team and actually correlates with user impact.

  • Alert design that doesn't cry wolf
  • Runbook automation
  • PagerDuty / Opsgenie integration
  • Escalation policies
  • On-call rotation optimization
🎯

SLO/SLI Framework

Move from gut feelings to data-driven reliability. Service level objectives that align engineering effort with business impact and user expectations.

  • Service level objectives definition
  • Error budget implementation
  • SLI instrumentation
  • Reliability reporting dashboards
  • Burn rate alerts & forecasting
☸️

Kubernetes Observability

Full visibility into your K8s clusters. Pod and node metrics, service mesh observability, resource optimization, and cost attribution per team.

  • Pod & node metrics collection
  • Service mesh observability (Istio/Linkerd)
  • Cost attribution & showback
  • Resource optimization insights
  • Cluster health dashboards

Our Tech Stack

Platforms

Datadog, AWS CloudWatch, GCP Cloud Monitoring

Metrics

Prometheus, Thanos, Mimir, Grafana

Logging

Loki, Elasticsearch, Fluentd, Vector

Tracing

OpenTelemetry, Jaeger, Tempo

Alerting

PagerDuty, Opsgenie, Alertmanager

Visualization

Grafana, Kibana, Custom dashboards

Typical Engagement

Week 1

Observability Audit

We assess your current observability posture, identify gaps in visibility, and define the metrics, logs, and traces that matter most for your services. You get a prioritized roadmap.

Week 2-3

Instrumentation & Setup

We deploy your observability stack, instrument your services with OpenTelemetry, set up log aggregation, and configure metrics collection. Everything is Infrastructure as Code.

Week 4

Dashboards & Alerting

We build Grafana dashboards that tell the story of your system, configure meaningful alerts with runbooks, and train your team on the new observability stack.

Ready to See What's Really Happening?

Get a free technical briefing. We'll review your current observability setup and provide a detailed roadmap for full-stack visibility.

Book a Call