Designing DataIntensive Applications
The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
by Martin Kleppmann
Should I read this?
Recommended by 1 source and appears in Microservices, Data Science, and Programming.
Want to know how the best software engineers and architects structure their applications to make them scalable, reliable, and maintainable in the long term This book examines the key principles, algorithms, and tradeoffs of data systems, using the internals of various popular software packages and frameworks as examples.Tools at your disposal are...
Looking for Kindle, hardcover, paperback, or audiobook editions?
Check formats, pricing, and current availability directly.
Why recommended
Recommended by 1 source and appears in Microservices, Data Science, and Programming.
Recommended by notable people
People and public figures who have recommended this book.
Recommendation Signals
Recommendation proof is sourced from public posts, interviews, reading lists, and cited references.
Gergely Orosz
“The book @intensivedata has got to be the most informationpacked one I've read. Summary of all major DB storage techniques, explained in 35 pages in the book. Thread. 1. "Plain old" keyvalue store in a textfile 2. Indexing a keyvalue store (e.g. a CSV) with hash indexes (1/6)”
Appears In
Not sure if this is the right fit?
Consider Accidental Presidents by Jared Cohen. Recommended by 10 sources.
“Accidental Presidents offers eight narrative portraits of men who succeeded to the U.S. presidency without election, using anecdote-rich scenes and readable context to show how personality and circumstance interact with office power. It’s strongest as a set of self-contained stories that make succession stakes concrete for non-specialist readers; it does not prioritize dense archival argument or exhaustive methodology, so expect some interpretive generalizations and repeated themes across cases. Use it for fast historical orientation rather than scholarly deep-dives.”
Similar books
How recommendation signals are reviewed
Each recommendation is collected from a public source — interviews, articles, or curated lists — and linked to its original URL. Books with many verifiable recommendations from respected people rank higher.