Explaining Distributed Systems Like I'm 5
summary
Build for ingesting a >10 gigabyte CSV by avoiding direct uploads to the app server and instead writing to object storage, emitting a job to RabbitMQ or Kafka, and having consumer workers parse and bulk-insert into a database so web requests never block. Synchronous uploads lead to OOMs and load‑balancing alone doesn’t fix it; asynchronous queues plus consumer scaling preserve order and allow independent failures, and clustered brokers make the pipeline resilient in practice.
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chapters (8)
- 0:00Introduction
- 1:27Why distributed systems
- 3:37Ice cream truck analogy
- 5:22Distributed systems definition
- 6:50Global clock problem
- 8:34Solution requirements
- 10:40Final architecture
- 12:06Lessons learned
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