Foundational Learning Plan

Improving on fundamentals under a few specific broad topics, broadly inspired by teachyourselfcs.com

Operating Systems

• Operating Systems - Three Easy Pieces
• Linux Kernel Development
• Firecracker
• Writing an OS in Rust (notes so far)
• Ask HN: What should a systems/low-level software engineer know?
• LMAX Disruptor
• Linux
  • Linux Filesystem Hierarchy
  • Paper: The Battle of the Schedulers: FreeBSD ULE vs. Linux CFS
  • Linux from Scratch
  • Linux VFS Guide
• Lectures
  • MIT 6.828 - Operating System Engineering
  • Stanford CS140e -OR- Georgia Tech CS-3210

Distributed Systems

• Read aphyr/distsys-class (notes)
• MIT 6.824 Distributed Systems
• A Distributed Systems Reading List
• Testing Distributed Systems
• Designing Data-Intensive Applications → Chs 2, 4, 10-12
• https://github.com/theanalyst/awesome-distributed-systems
• Blog posts from http://www.bailis.org/blog
• Distributed Services with Go
• Papers
  • The Tail at Scale
  • Chain Replication
  • Consistent Hashing and Random Trees: Distributed Caching Protocols for Relieving Hot Spots on the World Wide Web
  • Amazon Dynamo (Leaderless, not DynamoDB)
  • Amazon Aurora: On Avoiding Distributed Consensus for I/Os, Commits, and Membership Changes
  • Building on Quicksand
  • Life beyond distributed transactions
  • Spanner
  • CockroachDB
  • Borg, Omega, and Kubernetes
• Talks
  • Amazon DynamoDB Under the Hood
  • [Distributed transaction architectures](
  • [AWS Lambda Under the Hood](
  • [How to Take Control of Systems, Big & Small](
  • The Functional Database
• Watch Kleppmann’s lectures (~7h in total)

Computer Architecture

• Computer Systems - A Programmer’s Perspective
• What Every Programmer Should Know About Memory (notes so far)

Networking

• [Finish jonhoo’s TCP/IP implementation in Rust](
  (notes so far)
• Beej’s Guide: Networks
• Linux Programming Interface: the IPC Chapters
• Beej’s Guide: IPC
• High Performance Browser Networking
• TCP/IP Illustrated

Databases

• [Making the case for write-optimized database algorithms](
• Database Internals: A deep-dive into how distributed data systems work
• CMU: Intro to Database Systems (32 hours)
• CMU: Advanced Database Systems (31 hours)
• Seven Databases in Seven Weeks

Misc

• A Unified Theory of Garbage Collection