DevOps & Cloud
Observability
Unified metrics, logs, and traces so systems explain themselves under load.
Observability programs that connect metrics, logs, and traces into a coherent practice. We help you instrument critical paths, propagate correlation IDs, and build the dashboards and alerts that make unknown-unknowns diagnosable—not just red/green uptime.
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Who it’s for
- • Platform and SRE-minded engineering teams
- • Product orgs with microservices or complex request paths
- • Companies maturing beyond basic host monitoring
Problems we address
- • Metrics, logs, and traces exist in silos without correlation
- • Latency issues are hard to attribute across services
- • Instrumentation is inconsistent between teams
Expected outcomes
- • OpenTelemetry-aligned instrumentation strategy
- • Correlation across logs, metrics, and traces
- • Service-level dashboards for critical user journeys
Capabilities
Concrete engineering capabilities included in a typical engagement for this service.
Observability strategy and tooling selection
OpenTelemetry or vendor-agent instrumentation
Trace sampling and cardinality guidance
Unified dashboards for key journeys
Alerting on symptoms tied to user impact
Technology
Representative technologies used for this service. Final stack depends on your estate.
- OpenTelemetry
- Grafana
- Tempo
- Prometheus
- Jaeger
- Datadog
Architecture
Delivery pipeline
Source control through CI into containerized deploy and cloud runtime.
Deliverables
- • Observability architecture notes
- • Instrumentation for scoped services
- • Example dashboards and trace views
- • Team guidelines for future instrumentation
Out of scope
- • Guaranteeing specific MTTR targets without operational ownership
Timeline
Typical timeline
3–8 weeks
Timeline depends on scope, access, and dependencies—not a delivery guarantee.
Process
A clear delivery path from discovery through handover and optional support.
01
Discovery
Goals, constraints, success criteria, and current-state review.
02
Architecture
Target design, interfaces, risks, and delivery sequence.
03
Implementation
Incremental build with visible progress and documented decisions.
04
Testing
Functional checks, failure paths, and acceptance criteria validation.
05
Deployment
Controlled release to staging and production with rollback paths.
06
Handover
Runbooks, access notes, and operator/admin walkthrough.
07
Support
Optional hypercare window or retainer continuity after go-live.
Custom engagement
Pricing depends on architecture, traffic profile, and integration depth. Share your requirements for a scoped quote.
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Related work
Example / concept projects shown for illustration unless otherwise verified.
FAQ
Monitoring tells you when known conditions fail. Observability emphasizes rich telemetry so you can investigate novel failures—metrics, logs, and traces working together.
Not always. We prioritize the telemetry that unlocks your worst investigation pain first; tracing is high value when request paths cross services.
Ready to build?
Tell us about your environment, constraints, and target outcomes. We’ll recommend a package or a scoped quote.