yroByteReal-Time Communication Systems
We engineer systems where milliseconds matter: WebRTC media pipelines, low-latency messaging layers, presence and state synchronization, and fan-out architectures that stay responsive under load and on hostile networks. This page maps our depth in the domain.
Our work ships under strict NDAs. We show what we know, not who we built it for.
Request a Proposal
Domain Scope
Real-time systems are defined by what happens when conditions degrade. We design for the network as it is — lossy, jittery, asymmetric — and treat graceful degradation as a core feature, not an edge case.
WebRTC Media Pipelines
Audio/video capture, encoding, transport, and rendering paths, including SFU topologies and simulcast strategies.
Low-Latency Messaging
WebSocket and pub/sub layers engineered for predictable delivery latency at high message rates.
Presence & State Synchronization
Who's online, who's typing, what changed: shared state that converges correctly across many clients.
Scaling Fan-Out
Broadcasting one event to thousands of subscribers without hot spots, thundering herds, or unbounded queues.
Hard Problems We Engineer For
Real-time systems expose every weakness in a network path and every race condition in a protocol. These are the problems we design against.
NAT Traversal & Connectivity
ICE negotiation, TURN fallback strategies, and connection establishment that succeeds behind restrictive networks.
Jitter, Loss & Adverse Networks
Adaptive bitrate, jitter buffering, and recovery strategies that keep sessions usable on degraded links.
Fan-Out at Scale
Topic sharding, subscriber partitioning, and backpressure so one hot channel can't take the system down.
State Convergence
Ordering, idempotency, and conflict-resolution strategies so distributed clients agree on shared state.
Reconnect & Resume
Session resumption, missed-message replay, and cursor tracking so a dropped connection isn't a lost session.
Latency Budgets
End-to-end latency decomposed, measured per hop, and defended with explicit budgets in every layer.
Toolchain & Technologies
Media & WebRTC
- WebRTC / SFU architectures
- STUN / TURN infrastructure
- Simulcast & SVC strategies
- Media server tuning
Messaging
- WebSockets / SSE
- Redis Streams / Pub-Sub
- Kafka / NATS
- MQTT
State & Sync
- CRDT & OT concepts
- Presence systems
- Event sourcing patterns
- Optimistic UI reconciliation
Infrastructure
- Rust / Go / Node.js services
- Edge & regional deployment
- Connection load testing
- Latency observability
Engineering Discipline in This Domain
A real-time system that works on office Wi-Fi proves nothing. We test under simulated packet loss, measure tail latencies rather than averages, and design failure behavior before success behavior.
Adverse-Network Testing
Loss, jitter, and bandwidth caps injected in test environments as standard practice.
Tail-Latency Focus
p95 and p99 latencies drive decisions; averages hide the users who suffer.
Connection-Scale Load Tests
Systems exercised with realistic concurrent-connection counts before launch.
Failure-First Design
Disconnect, timeout, and partial-failure paths specified alongside the happy path.
Protocol Versioning
Wire formats designed to evolve while old clients stay connected.
Per-Hop Observability
Every stage of the pipeline instrumented so latency regressions are attributable.
Representative Problem Spaces
Generic scenarios that illustrate the shape of problems this capability addresses.
Embedded Video Collaboration
A platform team needs multi-party video and screen share embedded in their product, holding quality for participants on mobile networks and strict corporate firewalls.
Live Fleet Positions
A fleet operator needs vehicle positions and statuses streamed to thousands of concurrent dashboards with second-level freshness and graceful catch-up after disconnects.
Collaborative Editing
A SaaS team needs multiple users editing shared documents with live cursors and presence, converging correctly even when clients go offline mid-edit.
Looking for Realtime Event Infrastructure?
For WebSockets, Server-Sent Events, and Pub/Sub event delivery as a productized service offering, see our Realtime Event Infrastructure service — the packaged sibling of this capability.
How to Engage
Real-time capability work runs as an R&D Partnership for protocol design and feasibility work, or a Dedicated Team for building and operating production real-time infrastructure. Both start with your latency targets and scale expectations.
See How Engagements WorkLatency as a Feature
We treat responsiveness as a measurable product requirement.
NDA-First Culture
Confidentiality is our default operating mode, not an accommodation.
Built for Bad Networks
We design for the worst connection your users will actually have.
Scale-Tested Delivery
Fan-out and connection handling validated under load before it matters.
Building Something That Has to Feel Instant?
Tell us about your latency targets, your scale, and your users' networks. We'll propose an engagement shaped around the problem.