Building Mobile Apps at Scale

Building Mobile Apps at Scale
Author :
Publisher :
Total Pages : 238
Release :
ISBN-10 : 1638778868
ISBN-13 : 9781638778868
Rating : 4/5 (868 Downloads)

Book Synopsis Building Mobile Apps at Scale by : Gergely Orosz

Download or read book Building Mobile Apps at Scale written by Gergely Orosz and published by . This book was released on 2021-04-06 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: While there is a lot of appreciation for backend and distributed systems challenges, there tends to be less empathy for why mobile development is hard when done at scale. This book collects challenges engineers face when building iOS and Android apps at scale, and common ways to tackle these. By scale, we mean having numbers of users in the millions and being built by large engineering teams. For mobile engineers, this book is a blueprint for modern app engineering approaches. For non-mobile engineers and managers, it is a resource with which to build empathy and appreciation for the complexity of world-class mobile engineering. The book covers iOS and Android mobile app challenges on these dimensions: Challenges due to the unique nature of mobile applications compared to the web, and to the backend. App complexity challenges. How do you deal with increasingly complicated navigation patterns? What about non-deterministic event combinations? How do you localize across several languages, and how do you scale your automated and manual tests? Challenges due to large engineering teams. The larger the mobile team, the more challenging it becomes to ensure a consistent architecture. If your company builds multiple apps, how do you balance not rewriting everything from scratch while moving at a fast pace, over waiting on "centralized" teams? Cross-platform approaches. The tooling to build mobile apps keeps changing. New languages, frameworks, and approaches that all promise to address the pain points of mobile engineering keep appearing. But which approach should you choose? Flutter, React Native, Cordova? Native apps? Reuse business logic written in Kotlin, C#, C++ or other languages? What engineering approaches do "world-class" mobile engineering teams choose in non-functional aspects like code quality, compliance, privacy, compliance, or with experimentation, performance, or app size?


Building Mobile Apps at Scale Related Books

Building Mobile Apps at Scale
Language: en
Pages: 238
Authors: Gergely Orosz
Categories:
Type: BOOK - Published: 2021-04-06 - Publisher:

DOWNLOAD EBOOK

While there is a lot of appreciation for backend and distributed systems challenges, there tends to be less empathy for why mobile development is hard when done
Mobile Applications
Language: en
Pages: 376
Authors: Valentino Lee
Categories: Computers
Type: BOOK - Published: 2004 - Publisher: Prentice Hall

DOWNLOAD EBOOK

Spending on worldwide wireless and mobile network infrastructure will rise by $10.7 billion between 2002 and 2007. In this new resource, the authors provide tec
Mobile Applications Development with Android
Language: en
Pages: 201
Authors: Meikang Qiu
Categories: Computers
Type: BOOK - Published: 2016-10-14 - Publisher: CRC Press

DOWNLOAD EBOOK

Mobile Applications Development with Android: Technologies and Algorithms presents advanced techniques for mobile app development, and addresses recent developm
The Everything Guide to Mobile Apps
Language: en
Pages: 359
Authors: Peggy Anne Salz
Categories: Business & Economics
Type: BOOK - Published: 2013-02-18 - Publisher: Simon and Schuster

DOWNLOAD EBOOK

Expert advice on how to succeed in the mobile market! Experts estimate that mobile app revenues will nearly quadruple over the next few years, but for many busi
Machine Learning Projects for Mobile Applications
Language: en
Pages: 240
Authors: Karthikeyan NG
Categories: Computers
Type: BOOK - Published: 2018-10-31 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Bring magic to your mobile apps using TensorFlow Lite and Core ML Key FeaturesExplore machine learning using classification, analytics, and detection tasks.Work