Distributed Systems

Distributed Systems Engineering

Systems that scale and fail safely — Kubernetes, pipelines, topologies.

We design systems that scale and fail safely — Kubernetes, event and data pipelines, service topologies, and the consistency, latency, and failure modes that come with them. Portability and efficiency follow from the architecture, not from a tool name.

Talk to us about distributed systems
Diagram of a service mesh, Kubernetes platform, and event path

Why distributed systems

Failure is the default

Timeouts, retries, backpressure, and topology designed before the first outage.

Kubernetes as a platform

Workloads, not a cluster nobody owns. Consistency of deploy and operations.

Data in motion

Events and pipelines that match the reliability and cost bar of the rest of the estate.

How we work

  1. 01

    Map the current topology, failure modes, and where latency actually lives.

  2. 02

    Design the next shape: services, data paths, and how they fail independently.

  3. 03

    Build and operate it with SRE and security in the same design.

What you get

  • Scale without a rewrite every year.
  • Failures that stay local.
  • Architecture you can operate, not a diagram in a drawer.

Design for failure first

Scale follows.

Talk to us about distributed systems All services