Telecommunications & media

At these volumes the interesting number is not the average, it is the slowest one percent and the cost per million. A design that is comfortable at ten thousand messages a second can be commercially impossible at a million, and the difference is usually how the data is packed, how widely it gets copied, and how much of it the system moves around without needing to. We work on that shape of problem: keeping strict ordering only where it genuinely matters and dropping it where it does not, making the system slow down predictably under load instead of falling over, and sizing capacity against measured backlog rather than intuition. Where cost is the real constraint, we measure the cost per unit of work before proposing anything. For media delivery the same discipline applies closer to the viewer: what gets cached and where, protecting the origin from the same request arriving a thousand times, and choosing quality levels against the devices people actually watch on rather than a default profile. Typical engagements: designing and migrating an event backbone, capacity and cost work on streaming pipelines, real-time messaging platforms, and delivery performance.