Real-Time Analytics & Monitoring Platform
Built a high-throughput analytics platform processing millions of events per day with sub-second query performance for operational dashboards.
Problem
The client's existing analytics stack could not keep pace with growing data volumes. Batch processing introduced 4–6 hour delays in reporting, making real-time operational decisions impossible. Dashboard queries on large datasets timed out regularly, and the storage costs were growing unsustainably.
Solution
We implemented a streaming analytics pipeline using ClickHouse as the core analytical database, fed by Kafka-based event ingestion. A custom query optimization layer provides sub-second responses for complex aggregations across billions of rows. The system includes automated data lifecycle management to control storage costs.