Node.js Design Patterns
Master best practices to build modular and scalable serverside web applications, 2nd Edition
by Mario Casciaro
Should I read this?
appears in Nodejs, Programming, and Technology.
Get the best out of Node.js by mastering its most powerful components and patterns to create modular and scalable applications with easeNode.js is a massively popular software platform that lets you use JavaScript to easily create scalable serverside applications. It allows you to create efficient code, enabling a more sustainable way of writing s...
Looking for Kindle, hardcover, paperback, or audiobook editions?
Check formats, pricing, and current availability directly.
Why recommended
appears in Nodejs, Programming, and Technology.
Recommendation Signals
Recommendation proof is sourced from public posts, interviews, reading lists, and cited references.
No verified recommendation proof available yet.
Appears In
Not sure if this is the right fit?
Consider Dealers of Lightning by Michael A. Hiltzik. Recommended by 8 sources.
“Starts as a vivid inventory of inventors, projects, and lab culture at Xerox PARC, written in reporterly detail that foregrounds anecdotes and corporate memos. Main value is a textured sense of how early GUI, networking, and printing research happened and how personalities and management decisions shaped outcomes. Limitation: the narrative can dwell on minutiae and internal politics, slowing forward momentum and offering few clear takeaways for readers seeking practical lessons or modern startup playbooks. It reads like sustained magazine reporting, so detail-oriented readers are rewarded while those after a brisk how-to may be frustrated.”
Similar books
Dealers of Lightning
Michael A. Hiltzik
Adaptive Code via C#
Gary McLean
JavaScript
David Flanagan
Artificial Intelligence,
Stuart Russell
Patterns of Enterprise Application Architecture,
Martin Fowler
Express in Action
Evan Hahn
Beginning Node.js
Basarat Syed
Algorithms Unlocked
Thomas H. CormenHow 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.