I’m currently reading: Computer Architecture A Quantitative Approach & Is Parallel Programming Hard, And, If So, What Can You Do About It?

Previously Explored:

• Systems Performance
• Database Internals: A Deep Dive into How Distributed Data Systems Work
• Designing Data-Intensive Applications
• Operating Systems: Three Easy Pieces
• Concurrency in Go: Tools and Techniques for Developers
• The Algorithm Design Manual
• The Kubernetes Book - Poulton N
• The Go Programming Language
• Metaprogramming Elixir
• Programming Ecto
• The little Ecto Cookbook
• Concurrent data processing in elixir
• the rust book
• elixir in action
• algorithms and data structures with python

books that are actually reference manuals or papers:

• The Beam Book
• http://www.redbook.io/