REAL-TIME

Event Streaming & Real-Time Data Architecture

The engineers who can actually run Kafka, Flink, and Pulsar at scale are a tiny community. We design event-driven backbones, stateful stream processing, and exactly-once pipelines that stay up on Black Friday.

Ideal Stakeholders
CTO, Data Platform, Architecture, Product Engineering
Typical Program Timeline
6-10 week architecture and pilot implementation
Technology Context
Kafka/Pulsar/Kinesis, Flink/Kafka Streams, CDC tooling, low-latency analytics engines, observability controls

What You Can Expect

Scope & Deliverables

Engagement Model

We deliver through mixed advisory and engineering squads, with senior governance and weekly steering checkpoints. Every engagement includes measurable KPIs, executive reporting, and knowledge transfer so your internal team can sustain outcomes after handover.