Clear streaming topology: topics, contracts, evolving schemas
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.
AI Platform Engineering
What we deliver
Concrete capabilities and expertise – aligned with your project and cloud strategy.
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
How we work
Structured, transparent, and outcome-driven – from first assessment to operations.
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
Related services
Complementary offerings from the same service area.
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CONTACT
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