Real-Time Data Platforms

We design and implement real-time data paths—from the event bus and stream processing through materialized views and APIs product teams can consume directly. We emphasize idempotency, ordering where it matters, backpressure, and cost-aware scaling so operational decisions ride on fresh, trustworthy signals.

Benefits

• Clear streaming topology: topics, contracts, evolving schemas
• Near-real-time where it counts—without gratuitous ops burden
• Pipeline observability, consumer lag, and replay-ready patterns
• Clean handoffs to batch and ML workloads

Workflow

• Event model & SLAs: latency windows, volumes, critical consumers
• Platform: messaging, processors, persistence tier, APIs
• Hardening: deduplication, failure paths, recovery, security
• Operate: metrics, alerting, cost and capacity reviews

Talk to us about real-time data in your domain.

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