Theory to practice: A guide to real-time architectures
summary
Virtual Eye moves its cricket stack from a NUC and SQL box that needs 250kg of kit per venue to a serverless event-driven pipeline built on AWS with Kinesis Data Analytics and Kinesis Video Streams, S3 and a NoSQL store. The 14‑person company replaces bespoke on-site ops and redeploys logic into streams, stores raw+curated data forever, reduces latency focus to end-to-end insight delivery, and ships live player ball and bat tracking into broadcaster graphics and a searchable stats product that already supports global broadcasts.
AI-written summary · about
chapters (6)
- 0:00Welcome and introduction
- 2:23Why real-time data matters
- 8:29Evolution of real-time architectures
- 15:29Virtual Eye’s journey to hyperLayer
- 23:34Key takeaways from the project
- 27:11Closing and next steps
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