Kafka backbones, microservices with clear boundaries and the operational practices that keep them boring on purpose.
Distributed systems fail in the seams — the moments between services where retries collide, queues back up and assumptions diverge. We design those seams first.
We build event-driven backbones for B2B operations where latency is a customer-facing metric and uptime is a contractual one. Every pattern we ship has been hardened in production at scale.
median time to identify which service is degraded
events lost on consumer crash — DLQ + replay everywhere
inter-service latency at steady state
chaos drill cadence — failure modes are rehearsed
Click any capability to see how we approach it.
Kafka-backed event streaming with schema registry, consumer groups and dead-letter queues.
Boundaries drawn around business capabilities — independent deploys, clear contracts, no shared databases.
Circuit breakers, exponential backoff, bulkheads and timeout budgets — resilience baked in, not bolted on.
Distributed tracing, structured logs and metrics that let you pinpoint issues across the mesh.
Five stages, sized to your domain complexity, never to a fixed template.
Event-storming workshops with your domain experts to surface the events, commands and aggregates that should drive service boundaries.
Schema-first design of inter-service contracts, event versioning policy and the topology of producers, consumers and DLQs.
Circuit breakers, idempotent handlers, retry ladders and bulkheads — applied per dependency, not as a global wrapper.
OpenTelemetry traces propagated end-to-end, structured logs with correlation IDs, SLO-based alerting and per-service dashboards.
We deliberately break things in staging — and sometimes production — to validate that your runbooks, alerts and rotations work the way you expect.
Producers emit through the outbox; consumers process at-least-once with DLQ rerouting on failure.
Producer → Kafka topic → consumer group (with DLQ) → downstream services → observability fabric.
Defaults — not dogma. We pick the smallest tool that survives next year’s volume.
Pick the engagement that fits your team — every shape ends with your team holding the pager.
A greenfield architecture build, a sprint to stabilize a struggling system, or a retainer for ongoing platform work — delivered as an external team.
From event-storming to a production mesh handling real traffic with full observability.
Architecture, source, intellectual property and runbooks transfer to you. No lock-in, and no bodies to manage.
If yours isn’t here, ask us directly.
Tell us the throughput, the latency SLO and the integrations. We’ll come back with a shape and a timeline.