D.4 · Cloud, DevOps & Infrastructure
Site Reliability & Observability Engineering
Error budgets, traces, and failure testing on the paths that matter
What we build
The measurement and failure discipline that keeps a platform inside its availability target. Service level objectives derived from user-visible paths rather than host metrics, distributed tracing and high-cardinality telemetry through OpenTelemetry and eBPF, cost-aware retention tiers, on-call rotation and alerting that is actionable, chaos and load testing against production topologies, and incident review that ends in a code change rather than a document.
Capabilities
- Service level objectives derived from user-visible journeys, with error budgets that gate releases
- Distributed tracing and high-cardinality telemetry through OpenTelemetry and eBPF
- Alerting that is actionable, so an on-call page always corresponds to something worth waking for
- Cost-aware retention tiers, so observability does not outgrow the system it watches
- Chaos and load testing against production topologies, with the blast radius controlled
- Incident review that ends in a merged change, and a runbook that was actually used
Related services
How it connects
Where it sits in the stack.
This service, and the two it hands off to. None of them can be optimised alone.
Reliability & Observability
The measurement and failure discipline that keeps a platform inside its availability target.
Cloud Migration
Migration to AWS, Azure, or Google Cloud, or to a private cloud, planned as a reversible sequence rather than a weekend.
Cloud, DevOps & Infrastructure · see serviceDevOps & Platform Engineering
Internal platforms that make the correct path the easy one.
Cloud, DevOps & Infrastructure · see serviceBring us the whole problem.
Tell us where the work is stuck, whether that is a model that never reached production, an application nobody can change, a data platform nobody trusts, or a plant the business cannot see. An engineer replies with a first read, not a sales deck.