How Kubernetes and Spring Batch Process Over 12,000 Hours of Video per Month

on YouTube ↗41m

" summary

An architecture for scalable, resilient parallel video processing using Kubernetes and Spring Batch to handle Hotmart’s growth from under 100 to over 12,000 video hours per month. It describes how Kubernetes orchestration and Spring Batch job processing were used to meet intense, exponentially growing compute demand for hosting course videos.

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" chapters (7)

1. 0:00Start
2. 6:22Video Streaming
3. 18:57Spring Batch
4. 22:42Spring Cloud Deployer
5. 23:40Worker Orchestration
6. 30:14Prometheus
7. 35:59Next Steps

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