Reliability engineering embedded into your architecture — load testing design, failure tolerance modeling, and observability built in from the start.
Designed systems handling 100K+ transactions/day at 99.99% uptime
Reliability can't be retrofitted — it's determined by architecture decisions made long before the incident that exposes them.
This engagement fits when:
Warning signs
SLA commitments without architecture to back them
Incidents that repeat with different symptoms
Monitoring that shows failures but doesn't prevent them
Enterprise clients asking about uptime guarantees
Realistic traffic modeling that surfaces architectural bottlenecks — not just peak load thresholds, but the traffic shapes your users actually produce.
Every failure mode mapped with a designed response: isolate, degrade, alert, or handle silently.
Logging, metrics, tracing, and alerting designed as a coherent system — so diagnosis takes minutes, not hours.
Multi-region, database failover, and dependency resilience — the decisions that determine whether a component failure becomes a service outage.
Working backward from your reliability commitments: what architecture and monitoring are required to maintain SLOs before a breach becomes an SLA violation.
Questions we answer
Will this system maintain 99.99% uptime under these conditions?
What happens when a downstream dependency fails?
Are the SLOs designed into the architecture or aspirational?
What does graceful degradation look like for each service?
Reliability is a design constraint, not a testing phase. By the time you're load testing, the structural decisions are already made.
We design failure tolerance into service interactions from the start: circuit breakers that isolate faults, retry logic that won't cascade, graceful degradation that keeps core functionality running. We build observability so diagnosis takes minutes, not hours.
We define SLOs during architecture — not after deployment. An SLO the system wasn't designed around is aspirational. One that informed architecture, deployment, and testing decisions is operational.
How this differs
Reliability designed at the architecture layer, not bolted on
SLOs defined before instrumentation — not aspirational
Failure tolerance modeled before load testing
Observability as architecture requirement, not ops task
A senior architect will review your situation and recommend the right starting point.