Telecommunications & media

At telecom volumes the interesting number is not the average, it is the ninety-ninth percentile and the cost per million. An architecture that is comfortable at ten thousand messages a second can be commercially impossible at a million, and the difference is usually serialisation, fan-out strategy and how much the system copies data it does not need. We work on that shape of problem: partitioning that keeps ordering guarantees where they are needed and drops them where they are not, back-pressure that degrades predictably instead of collapsing, and consumer groups sized against measured lag rather than intuition. Where the cost model is the constraint, we measure the cost per unit of work before proposing anything. For media delivery the same discipline applies to the edge: cache hierarchy, origin shielding, and encoding ladders chosen against real device mix rather than a default profile. Typical engagements: event backbone design and migration, streaming pipeline throughput and cost work, real-time messaging platforms, and delivery-edge performance.