Infrastructure
Observability
Traces, metrics, and logs that tell you why — not just that something broke.
Alerts that page everyone for nothing train teams to ignore pages. We build observability stacks with correlated traces, actionable SLOs, and runbooks — so on-call knows what broke and where to look in under five minutes.
68%
MTTR reduction
2–8 wk
Typical timeline
50+
Stacks deployed
<5 min
Time to root cause
Stack
OpenTelemetryDatadogGrafanaPrometheusPagerDutyLokiTempoHoneycomb
ALL SYSTEMS OPERATIONAL
Uptime SLA99.99%
Avg deploy time< 4 min
P99 latency< 50 ms
MTTR< 15 min
68% reduction in mean time to resolution after observability stack redesigns.
Get a proposal What's included
OpenTelemetry instrumentation
Auto and manual instrumentation across services — traces, metrics, and logs with consistent service naming.
SLO & error budget design
SLIs that match user experience, error budgets that drive prioritization, and alerts tied to SLO burn rate.
Dashboard & alert tuning
Dashboards for on-call, executives, and engineering — alerts that fire on symptoms users feel, not vanity metrics.
Log aggregation & search
Structured logging, retention policies, and fast search — no SSH-and-grep incident response.
Incident runbooks
Every alert links to a runbook with diagnosis steps, escalation paths, and known false-positive handling.
Cost-aware observability
Sampling, retention tiers, and cardinality controls — full visibility without a six-figure observability bill.
How we work
Week 1
Instrumentation audit
What's instrumented, what's missing, and what alerts actually fire today.
Week 2–4
Foundation deploy
OTel collector, backends, and core service instrumentation with baseline dashboards.
Week 4–6
SLOs & alert tuning
SLO definitions, burn-rate alerts, and runbooks for top failure modes.
Week 6+
Team training
On-call walkthrough, post-mortem process, and self-service dashboard templates.
From Evolve Edge
“Good infrastructure should be boring. The goal is to build it once, document it well, and never think about it in a crisis.”
FAQ
Datadog or open source?
Datadog for speed and breadth. Prometheus/Grafana/Tempo when cost or data residency requires self-hosting. We implement both.
We already have logs — why traces?
Logs tell you what happened. Traces show the path across services — essential for microservices and async workflows.
Can you reduce our observability bill?
Yes. Sampling, metric cardinality limits, and retention tuning typically cut bills 30–50% without losing signal.
How do you prevent alert fatigue?
SLO-based alerting, alert grouping, and quarterly alert audits — if it didn't need action last quarter, it gets deleted.
Related services
Ready to scope this?
Start your Observability engagement
A senior engineer will review your project and reply within one business day with a clear next step.