Scalability rules: principles for scaling web sites 2nd edition, martin abbott, michael fisher
Описание
Fully updated! Fifty Powerful, Easy-to-Use Rules for Supporting Hyper Growth
“Whether you’re taking on a role as a technology leader in a new company or
you simply want to make great technology decisions,
Scalability Rules
will be the go-to resource on your bookshelf.”
–Chad Dickerson, CTO, Etsy
Scalability Rules, Second Edition,
is the easy-to-use scalability primer and reference for every architect,
developer, network/software engineer, web professional, and manager. Authors
Martin L. Abbott and Michael T. Fisher have helped scale hundreds of high-
growth companies and thousands of systems. Drawing on their immense
experience, they present 50 up-to-the-minute technical best practices for
supporting hyper growth practically anywhere.
Fully updated to reflect new technical trends and experiences, this edition is
even easier to read, understand, and apply. Abbott and Fisher have also added
powerful “stories behind the rules”: actual experiences and case studies from
CTOs and technology executives at Etsy, NASDAQ, Salesforce, Shutterfly, Chegg,
Warby Parker, Twitter, and other scalability pioneers.
Architects will find powerful technology-agnostic insights for creating and
evaluating designs. Developers will discover specific techniques for handling
everything from databases to state. Managers will get invaluable help in
setting goals, making decisions, and interacting with technical teams.
Whatever your role, you’ll find practical risk/benefit guidance for setting
priorities, translating plans into action, and gaining maximum scalability at
minimum cost.
You’ll learn how to
Simplify architectures and avoid “over-engineering”
Design scale into your solution, so you can scale on a just-in-time basis
Make the most of ing and tion
Separate functionality and split data sets
Scale
out
, not
up
Get more out of databases without compromising scalability
Eliminate unnecessary redirects and redundant double-checking
Use caches and CDNs more aggressively, without unacceptable complexity
Design for fault tolerance, graceful failure, and easy rollback
Emphasize statelessness, and efficiently handle state when you must
Effectively utilize asynchronous communication
Learn from your own mistakes and others’ high-profile failures
Prioritize your actions to get the biggest “bang for the buck”
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