How to Build a Complete Architect’s Knowledge System: Skills, Tools, and Resources

Philosophical questions such as "Who am I?", "Where do I come from?", and "Where am I going?" are extended to the architect’s three core questions: identifying one’s position, defining what to do, and building a knowledge system.

1. General Skills

Who I am: mindset of serious, uncompromising work.

How to work: grasp the whole, find methodology, prioritize, plan, communicate, take responsibility, and foster team awareness.

Growth: collaborate with excellent people and continuously learn.

Definition of proficiency: understand fundamentals, self‑test, track feedback, and update documentation.

Advanced proficiency: work around problems rather than merely solving them.

2. Professional Skills

Read official documentation for each skill.

Fundamentals: networking, HTTP, TCP/IP.

Office tools: Excel, PowerPoint.

PHP stack: PHP, Linux, MySQL, Nginx/Apache, load balancing.

Java stack: advanced Java features, networking, threading, I/O models, frameworks.

Data structures, algorithms, design patterns.

R&D abilities: waterfall model (requirements → analysis → design → development → testing → deployment → operations), debugging, agile iteration, wiki updates.

Web security: XSS, SQL injection, DDoS, with recommended books such as "黑客攻防技术宝典（Web实战篇）", "白帽子讲Web安全", "Web前端黑客技术揭秘", "Web之困", "SQL注入攻击与防御".

3. Website Architecture Knowledge

Architecture evolution: LAMP on a single server, separation of app and data servers, caching, clustering, read/write splitting, reverse proxy & CDN, distributed storage, service decomposition, micro‑services.

Architecture patterns: availability, performance, CDN, local and distributed caches, layered architecture (application, service, data), horizontal/vertical segmentation, clustering, load balancing, automation (deployment, testing, monitoring, failover), security.

Core elements: XSS, SQL injection, CSRF, web firewall vulnerabilities, SSL, distributed messaging, service orientation, clustering, load balancing, caching, data backup, gray‑release, monitoring, performance testing, front‑end and back‑end optimization, database tuning, high performance, availability, scalability, extensibility, security.

4. Tools and Resources

2.1 Technical Sites

Hacker News

Programming Reddit

MSDN

InfoQ

OSChina

51CTO, Cnblogs

StackOverflow

GitHub

OpenStack e‑books (http://it-ebooks.info/)

DevStore

2.2 Recommended Books

人件

人月神话

代码大全2

计算机程序设计艺术

程序员的自我修养

程序员修炼之道

高效能程序员的修炼

深入理解计算机系统

软件随想录

算法导论

离线数学及其应用

设计模式

编程之美

黑客与画家

编程珠玑

C++ Prime

Effective C++

TCP/IP详解

Unix 编程艺术

《精神分析引论》弗洛伊德

搞定：无压力工作的艺术

2.3 Platform Tools (Open Source)

Redmine/Trac – project management

Jenkins/Jira – CI (Jira is not open source)

Sonar – code quality

Git, SVN – version control

GitLib/Gitorious – self‑hosted Git

GitBook – documentation

Travis‑CI – CI for open‑source projects

Selenium, OpenQA.org – testing

Puppet – configuration management

Nagios / Icinga – monitoring

Ganglia – distributed monitoring

fleet – distributed init system

2.4 Crawling Tools

PhantomJS

berserkJS

SlimerJS

CasperJS

Selenium

2.5 Web Server Performance / Load Testing

http_load

webbench

ab (ApacheBench)

Siege

squid (frontend cache), nginx (load balancer), nodejs (custom LB)

Piwik – analytics

ClickHeat – heatmap

HAProxy – high‑performance TCP/HTTP load balancer

ElasticSearch – search engine

Page Speed SDK, YSlow

HAR Viewer – HAR analysis

Protractor – E2E testing

2.6 Front‑End Tools

Grunt – task runner

Sea.js – module loader

Knockout.js – MVVM

Angular.js – SPA framework

Highcharts, Flot – charting

Raw – advanced data visualization

Rickshaw – real‑time charts

JavaScript InfoVis Toolkit – visualization

Pdf.js – PDF rendering

ACE, CodeMirror – code editors

NProcess – loading progress bar

impress.js, reveal – presentations

Three.js – 3D Web

Hightopo – 2D/3D UI

jQuery.dataTables – flexible tables

Raphaël – canvas drawing library

Source: http://blog.csdn.net/hguisu/article/details/49445263