designing data intensive applications the big ideas behind reliable

For the TeachYourselfCS categories that I know the textbook landscape, I find their selections spot-on and pretty refreshing. I've heard glowing reviews of The Algorithm Design Manual, Designing Data-Intensive Applications, and Structure and Interpretation of Computer Programs over the years, but I haven't personally gone through them. It is a more approachable treatment of networking (without sacrificing any crucial topics), so better for a first course. I already owned Tanenbaum & Wetherall which is good, but preferred this book. I was so jazzed up about this book that I ended up sending a lot of edits / improvements, and the authors gave me a very kind shoutout in the acknowledgements section.Ĭomputer Networking: A Top-Down Approach: In 2013, this was the assigned textbook for my computer networking class.

OSTEP has incredibly clear and concise descriptions without skimping on necessary details. Operating Systems: Three Easy Pieces: In 2013, I found this book because I was frustrated with the textbook assigned for my operating systems class (Silberchatz). It is really well written, has a great choice of topics, and phenomenal exercises for practice (some are legitimately fun). In fact, many universities base their systems courses around this book. They're a fantastic way to grow.Ĭomputer Systems: A Programmer's Perspective: around 2012 / 2013, I went through this book because I took a coursera course based on it. There are many available for free online, and if in-person classes work better for you (motivation, support, resources, etc), definitely go that route.

I started as a self-taught developer, but I've since taken classes both in-person and online that have been a tremendous help. As another comment mentioned, reading code and understanding how other programs are built are great ways to build your 'how to do things' repertoire.įinally, I'd also recommend taking some classes. The Architecture of Open Source Applications is a fantastic free resource that walks through how many applications are built. Similarly, Clean Architecture: A Craftsman's Guide to Software Structure and Design is, no surprise, a book on organizing and architecting software.ĭesigning Data-Intensive Applications may be overkill for your situation, but it's a good read to get an idea about how large scale applications function. Clean Code: A Handbook of Agile Software Craftsmanship is a great book on writing and reading code.

Designing data intensive applications the big ideas behind reliable