Observability
We work closely with our clients and ops team to turn logs, metrics and traces into clear insight. We start from service instrumentation, finishing with dashboards, alerts and runbooks that help your team resolve issues fast.
What's included
- Structured logging setup: JSON format with correlation IDs, request context, and severity levels
- Metrics collection and dashboards (Prometheus + Grafana, Datadog, CloudWatch, or your existing stack)
- Alert rules for the critical paths: error rate, latency p95/p99, and service availability
- On-call runbooks for your top 5 most likely incident types
- Distributed tracing setup (OpenTelemetry — optional, recommended for microservices)
- Incident response process: severity levels, escalation path, and post-mortem template
- Alert fatigue review: consolidation of noisy alerts that wake people up for non-issues
- Handoff walkthrough session with your engineering and ops team
Who it's for
Teams flying blind — deployments go out and you find out something broke when a customer emails you. Also for teams who have some monitoring but are overwhelmed by alert noise, or who have dashboards that nobody looks at because they don't answer the question "is the service healthy right now?"
How we work
- Understand — review your current logging, metrics, and on-call setup (or lack of one)
- Define Done — agree which services get instrumented, what the key signals are, and what "on-call ready" looks like for your team
- Implement — instrument services, set up dashboards and alerts, write runbooks iteratively with your team
- Handoff — walkthrough session, full documentation, access removed at project close
Typical timeline
2–3 weeks depending on the number of services and whether you have an existing observability stack to build on. Fixed scope, fixed quote upfront.
What we've seen fixed
Teams that complete this engagement typically detect incidents in minutes rather than hours. MTTR (mean time to resolve) drops because engineers know where to look rather than grepping logs in production. On-call becomes manageable because alert noise is under control.