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# Navigating the Distributed Systems: My Takeaways from MIT 6.824

**[Medium](https://daily.dev/sources/medium_js)** · 8 min read · 0 upvotes · 0 comments

## Summary

A deep-dive summary of key lessons from MIT 6.824 (Distributed Systems), covering concurrency primitives in Go, storage sharding, consensus protocols, and advanced database paradigms. Topics include GFS's relaxed consistency model, VMware FT's deterministic state machine replication, Raft's quorum-based fault tolerance, ZooKeeper's FIFO client ordering, CRAQ's linearizable read scaling, Facebook's Memcached lease mechanism, Google Spanner's TrueTime commit-wait rule, FaRM's RDMA-based sub-100μs transactions, and Apache Spark's lazy DAG evaluation. The central thesis is that every distributed system is defined by its bottlenecks, and engineering is about choosing the right painful trade-offs.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://medium.com/@vaivaswat2244/navigating-the-distributed-systems-my-takeaways-from-mit-6-824-6eb08d6a3568>

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---

Tags: [#golang](https://daily.dev/tags/golang), [#distributed-systems](https://daily.dev/tags/distributed-systems), [#apache-spark](https://daily.dev/tags/apache-spark)

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