Reliability engineering is the discipline of keeping systems running, and recovering quickly when they don't. It's not about preventing every failure - that's impossible. It's about understanding your failure modes, measuring what matters, and building the organisational muscle to respond effectively.
What we deliver
SLO frameworks. We help teams define Service Level Objectives that reflect what users actually care about. Not uptime percentages pulled from thin air, but meaningful indicators tied to user experience - latency, error rates, throughput. We implement SLO tracking with error budgets that inform engineering priorities.
Observability stacks. Logs, metrics, and traces that actually help you debug problems. We design and implement observability strategies using tools like Prometheus, Grafana, OpenTelemetry, Datadog, Application Insights, and ELK. The focus is always on actionable data, not dashboard vanity metrics.
Incident response. We design and implement incident management processes: on-call rotations, escalation paths, communication templates, runbooks, and post-incident review practices. We run incident simulations to test the process before a real outage forces you to.
Chaos engineering. Controlled experiments that test your system's resilience: network partitions, service failures, resource exhaustion, dependency outages. We help teams move from "we think it'll handle it" to "we've proven it handles it" - using tools like Chaos Monkey, Litmus, or Azure Chaos Studio.
Capacity planning. We analyse growth trends, model future resource requirements, and identify scaling bottlenecks before they become incidents. This includes cost optimisation - over-provisioning is a reliability problem too, because it hides performance issues behind headroom.
Our approach
Reliability engineering is as much about culture as technology. We work with engineering teams to build ownership of service health, blameless post-incident practices, and a data-driven approach to prioritising reliability work against feature development.
We don't advocate for reliability at all costs. Error budgets exist for a reason - sometimes shipping features faster is the right trade-off. Our job is to make that trade-off visible and deliberate rather than accidental.
Getting started
If you're not sure where to start, we typically begin with an observability and incident response assessment. Understanding what you can see and how you respond to problems today gives us a clear picture of where the highest-impact improvements are.