About This Architecture

Multi-device OTT beacon analytics pipeline ingests events from mobile, web, smart TV, tablet, set-top box, and game console clients via a Go SDK into Apache Kafka MSK and AWS Kinesis Data Streams. Firehose Service buffers and persists events to Amazon S3 and on-premises MinIO, then AWS Glue and Spark ETL jobs transform and load aggregated metrics into ClickHouse OLAP for sub-second analytics queries. Analytics API serves real-time dashboards and CloudWatch alerts, enabling OTT platforms to monitor user engagement, streaming quality, and device performance across all client types. Fork this diagram to customize ingestion sources, add Lambda enrichment steps, or swap ClickHouse for Redshift based on your scale and latency requirements.

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How do I build a real-time analytics pipeline for OTT streaming platforms that ingests events from multiple device types?

This diagram shows a production-grade OTT analytics architecture where Beacon SDK collects events from mobile, web, smart TV, tablet, set-top box, and game console clients, streams them via Kafka MSK and Kinesis Data Streams, buffers with Firehose to S3 and MinIO, transforms with Glue/Spark, and serves analytics from ClickHouse OLAP via an API to dashboards and alerts.