G.3 · Enterprise Platform & Data Engineering
Reliability and 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. Includes 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, progressive delivery with automated rollback on an error-budget breach, chaos and load testing against production topologies, and incident review that ends in a code change.
Capabilities
- Service level objectives derived from user-visible paths, with error budgets that gate releases
- Distributed tracing and high-cardinality telemetry through OpenTelemetry and eBPF
- Cost-aware retention tiers, so observability does not outgrow the system it watches
- Progressive delivery with automated rollback the moment an error budget breaks
- Chaos and load testing against production topologies, and incident review that ends in a code change
Related services
How it connects
Where it sits in the stack.
This system, and the two it hands off to. None of them can be optimized alone.
Reliability Engineering
The measurement and failure discipline that keeps a platform inside its availability target.
Distributed Backend Systems
Transactional cores designed for correctness under concurrency.
Enterprise Platforms · see serviceData Platforms & Streaming
Data platforms built for freshness and lineage, not volume alone.
Enterprise Platforms · see serviceBring us the whole stack.
Tell us where latency is costing you, from the die to the data center to the control room. An architect replies with a first read of the problem, not a sales deck.