Observability and resilience on Azure
Detect degradation before customers report it. We instrument services with OpenTelemetry and define SLOs on the journeys that carry revenue, across the systems your payments and onboarding depend on.
Why the dashboards stay green
Distributed systems rarely fail all at once. They degrade along one path while infrastructure dashboards stay green, because CPU and container health describe machines rather than the route a customer request takes through dozens of services, so the first credible signal arrives from a support ticket.
Most estates already emit enough telemetry; what is missing is a definition of what good looks like on the journeys that earn money, and an owner for each one. Traces without service level objectives produce archaeology, not alerts, so the work is agreeing error budgets, wiring OpenTelemetry through the call path and rehearsing failure with the on-call teams. Resilience is a budgeting decision before it is an engineering one.
Detect, contain, recover, learn
A cycle that runs continuously, not an incident process that starts when something breaks.
Observe
Metrics, logs and traces correlated end to end across services
Detect
SLO-based alerting on customer impact, not on component noise
Contain
Isolation, circuit breakers and graceful degradation by design
Learn
Post-incident review feeding back into the architecture
What the engagement includes
Five artefacts, scoped to the services that carry payments and sign-ups. Each one arrives as a document or a running configuration your engineers own, edit and keep after we leave. If your services are a single monolith with one database and no on-call rota, this does not pay for itself yet.
Observability platform
Metrics, logs and distributed tracing correlated across the estate.
DeliverableObservability stack in production
SLOs and error budgets
Service level objectives defined on customer experience, with alerting built on them.
DeliverableSLO and alerting model
Resilience engineering
Isolation, retries, circuit breakers and degradation patterns implemented in the services.
DeliverableResilience patterns applied
Incident practice
On-call model, runbooks and a blameless review loop that changes the architecture.
DeliverableIncident operating model
Where this has already been done
A payments platform engineered for sub-four-second authorisations
- 01
The challenge
A global payments launch where authorisation latency and reliability were the product, not a technical detail.
- 02
What we did
We helped build a high-performance payments platform with real-time authorisations and direct issuer integrations.
- 03
Outcome
Sub-four-second authorisations sustained at launch scale.
Proven across enterprise scenarios
Measure one critical journey
A two-hour session on one revenue journey. You leave with its draft SLO, the missing spans and the alerts worth waking someone for.
Book the SLO workshop