What we do
Batch processing is too slow for operational decisions. Real-time streaming lets you detect fraud as it happens, personalise customer interactions instantly, and monitor industrial systems in the moment. We build production-grade streaming architectures using Azure Event Hubs, Kafka, and Spark Structured Streaming.
Ideal for
Finance, logistics, and manufacturing organisations that need to act on data within seconds rather than waiting for overnight batch jobs
Common applications
Fraud Detection Streaming
Process transaction events in real time, scoring each for fraud probability and triggering automated holds within milliseconds.
IoT Telemetry Ingestion
Ingest sensor data from thousands of devices into Azure IoT Hub or Event Hubs, with real-time anomaly detection and alerting.
Operational Dashboards
Build live operational dashboards showing inventory, orders, or logistics status updated in real time — not daily batch exports.
Event-Driven Microservices
Decouple application components with Kafka message queues — enabling scalable, fault-tolerant event-driven architecture.
CDC from Databases
Capture change data from SQL Server, PostgreSQL, or Oracle using Debezium and stream changes downstream without polling.
Stream Processing with Aggregations
Compute windowed aggregations, joins, and sessionisation over event streams in real time using Spark or Azure Stream Analytics.
How we work
Streaming Use Case Design
Define latency requirements, event volumes, processing semantics (exactly-once vs. at-least-once), and failure tolerance.
Infrastructure Provisioning
Deploy Event Hubs or Kafka clusters with appropriate throughput units, partitioning, and retention.
Stream Processor Development
Build Spark Structured Streaming or Azure Stream Analytics jobs with stateful processing, windowing, and side outputs.
Monitoring & Handover
Set up consumer lag monitoring, alerting, and operational runbooks. Train your team on streaming operations.
What you receive
- Streaming infrastructure deployed on Azure (Event Hubs or Kafka)
- Stream processing jobs with business logic
- Consumer lag and throughput monitoring dashboard
- Dead-letter queue and error handling pipeline
- Operational runbook and team training
- Source code ownership and architecture documentation
Ready to get started?
Let's discuss your requirements. No commitment, no sales pitch — just a focused conversation about your situation.
Book a free discovery call