Distributed Systems

• Intro to distributed systems - mixu
• Intro to distributed systems by Aphyr
• System Design Primer
• Distributed system lectures/talks
• Distributed Systems principles course
• Distribute systems course in Go
• Advanced and Distributed Operating Systems
• Raft
• Consistent hashing
• Google tech: Borg, Bigtable, Spanner, Mapreduce, Millwheel, LMCTFY
• Quorum read/writes
• Vector Clocks
• What distributed systems engg should know
• Yet another reading list

Compilers

• http://mattias-.github.io/2015-01-03/DIY-Make-Your-Own-Programming-language/
• http://stackoverflow.com/questions/1669/learning-to-write-a-compiler
• http://homepage.ntlworld.com/edmund.grimley-evans/cc500/
• http://compilers.iecc.com/crenshaw/
• https://github.com/rui314/8cc (http://www.sigbus.info/how-i-wrote-a-self-hosting-c-compiler-in-40-days.html)
• http://bellard.org/tcc/
• http://llvm.org/docs/tutorial/
• Compilers Stanford
• Automata by Ullman
• Toy compiler, Writing own compiler
• Build your own Lisp
• http://research.microsoft.com/en-us/um/people/simonpj/papers/pj-lester-book/
• Interpretor: http://ruslanspivak.com/lsbasi-part1/

Compiler articles

• http://blog.jamesdbloom.com/JVMInternals.html
• http://blog.altoros.com/golang-internals-part-2-diving-into-the-go-compiler.html

Networking

• http://beej.us/guide/bgnet/output/html/singlepage/bgnet.html
• http://intronetworks.cs.luc.edu/

Infrastructure workouts

• Design and implement a durable complex event-processing service with exactly-once semantics.
• Create an internal framework for writing new API endpoints
• You’ve scaled a large system before. You realize that 95% of scaling is doing nitty-gritty detail work.
• You have extensive experience with server operations, though you lean more towards writing code.
• Design and implement a distributed authentication service
• Implement efficient realtime queries on top of MongoDB by consuming the MongoDB replication log.
• Add features to DDP, Meteor’s state synchronization protocol. For example, you might add protocol-level support for pagination of realtime datasets, and write a DDP caching proxy that performs this pagination in a separate tier from the application logic.
• Write a kernel for a distributed operating system that schedules application processes across a set of machines. Make it capable of updating itself in place without any downtime.
• Implement an advanced package dependency resolver on top of a pseudoboolean SAT solver.
• Perform static analysis on JavaScript to automatically determine the correct load order for the files, when the app developer hasn’t specified it.
• Write a full implementation of SQL that runs in-memory in a web browser, and also supports arbitrary realtime queries and speculative local execution of updates that are in flight to the server.