From da6005c85735f895c51f3f4450909ba298543c53 Mon Sep 17 00:00:00 2001 From: binhnguyennus Date: Fri, 23 Mar 2018 11:34:53 +0800 Subject: [PATCH] refactor --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index a75305f..1d3f74c 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # High Scalability, High Availability, High Stability, and High Performance Back-end Design Patterns -An updated and curated list of selected readings to illustrate High Scalability, High Availability, High Stability, and High Performance Back-end Design Patterns. Concepts are explained in the articles of notable engineers (Werner Vogels, James Hamilton, Jeff Atwood, Martin Fowler, Robert C. Martin, Tom White, Martin Kleppmann) and high quality reference sources (highscalability.com, infoq.com, official engineering blogs, etc). Case studies are taken from battle-tested systems those are serving millions to billions of users (Netflix, Alibaba, Flipkart, LINE, Spotify, etc). +An updated and curated list of selected readings to illustrate High Scalability, High Availability, High Stability, and High Performance Back-end Design Patterns. Concepts are explained in the articles of notable engineers (Werner Vogels, James Hamilton, Jeff Atwood, Martin Fowler, Robert C. Martin, Tom White, Martin Kleppmann) and credible references (highscalability.com, infoq.com, official engineering blogs). Case studies are taken from battle-tested systems those are serving millions to billions of users (Netflix, Alibaba, Flipkart, LINE, Spotify, etc). #### What if your Back-end went slow? > Understand your problems: performance problem (slow for a single user) or scalability problem (fast for a single user but slow under heavy load) by reviewing [design principles](#principles). You can also check some [talks](#talks) of elite engineers from tech giants (Google, Facebook, Instagram, etc) to see how they build and scale their systems.