Real-time Streaming
"Sub-minute latency for live decisions"
Low-latency event-driven architectures with Kafka, Flink, and Spark Streaming — for live analytics, operational decisions, and reactive systems.
What we deliver
Kafka & Kinesis
Producer/consumer design, partitioning, exactly-once setup.
Flink & Spark Streaming
Stateful operators, windowing, joins, watermarks.
Stream-to-warehouse
CDC, hot-cold split, exactly-once into Snowflake/BigQuery.
Schema registry
Avro/Protobuf contracts, evolution, compatibility checks.
Operational metrics
End-to-end latency, lag, and throughput dashboards.
Dead-letter & replay
Poison-message handling, audit, and idempotent replay.
Working lifecycle
Model events
Capture domain events with clear ownership and contracts.
Build pipelines
Producers, brokers, processors, sinks — all observable.
Validate
Load tests at 10x peak, replay drills, schema-evolution tests.
Operate
On-call runbooks, lag alerts, and steady-state cost tracking.
Related sub-services
Talk to us about Real-time Streaming
Tell us about your data estate and the outcome that matters. We will reply with a scoped plan.