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2016年科技阅读列表
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之前整理的2015年科技閱讀列表[600篇],有人覺得看不過來,我就把一些個人喜歡的重新列出來,再加到今年列表中,慢慢補充,加上分類標簽,歡迎大家留言翻譯。比如時間在幾周內,站內聯系。更新 2016/05/23
1. 技術架構
Everyday Algorithms: Elevator Allocation 電梯算法調度
Le Cloud Blog 系統設計系列 scalability入門
Airbnb Shares The Keys To Its Infrastructure Airbnb基礎架構 翻完Backend infrastructure at Spotify Spotify架構Jepsen: On the perils of network partitions 網絡分割技術系列A Comprehensive Guide to Building a Scalable Web App on Amazon Web Services 在AWS上構建大型Web APP指南 進行中How Instacart Built Its On-Demand Grocery Delivery Service Instacart背后的技術Pinnability: Machine learning in the home feedPinterest主頁的機器學習
The Rise of the API-based SaaS API作為Saas興起5 AWS mistakes you should avoid 5個該避免的AWS錯誤
The Art of the Commit 提交的藝術 進行中
Stack Overflow: The ArchitectureStack Overflow 2016最新架構探秘Scaling Knowledge at Airbnb Airbnb的知識管理 已翻How Uber Thinks About Site Reliability Engineering Uber SRE怎么做
basic infrastructure patterns 基礎架構模式
Designing Schemaless, Uber Engineering Uber無模式數據存儲
Data Architecture in an Anti-Fraud Architecture 反欺詐系統的數據架構 進行中
The Epic Story of Dropbox’s Exodus From the Amazon Cloud Empire長夜讀|Dropbox 出走亞馬遜云服務帝國的壯麗史詩
How Badoo saved one million dollars switching to PHP7 升級PHP7省了百萬美金
Engineers Shouldn't Write ETL: A Guide to Building a High Functioning Data Science Department 不要寫ETL
Jeff Dean on Large-Scale Deep Learning at Google 已翻
Putting the Squeeze on Trip Data Uber技術
3 simple reasons why you need to learn Scala 學習Scala的原因
P-values not quite considered harmful P值的作用
4 reasons why microservices resonate 微模式
Object-oriented vs. functional programming 面向對象還是面向函數
Why a pattern language for microservices? 微模式的設計語言Working at Netflix 在Netflix工作
Managing Machines at Spotify Spotify如何管理機器
Reclaiming Design Patterns (20 Years Later) ·設計模式20年后
continuous-deployment-at-instagram
Notes on Google's Site Reliability Engineering book
Apache Spark as a Compiler: Joining a Billion Rows per Second on a LaptopEngineering Intelligence Through Data Visualization at UberDistribunomicon 2. 大數據和數據科學系列
Stream processing, Event sourcing, Reactive and making sense of it all 流處理,事件源,響應式
Using logs to build a solid data infrastructure (or: why dual writes are a bad idea) 使用日志作為可靠數據架構
Bottled Water: Real-time integration of PostgreSQL and Kafka 跟PostgreSQL,Kafka做實時集成
Real-time full-text search with Luwak and Samza Luwak和Samza做實時全文檢索
Turning the database inside-out with Apache Samza Samza調優數據庫
Apache Kafka, Samza, and the Unix Philosophy of Distributed Data Kafka,Samza和Unix的分布式數據設計哲學The value of Apache Kafka in Big Data ecosystem Kafka在大數據生態系統中的價值 已翻Distributed Consensus Reloaded: Apache ZooKeeper and Replication in Apache Kafka 分布式重載:kafka中的zookeeper和復制Putting Apache Kafka To Use: A Practical Guide to Building a Stream Data Platform (Part 1)使用Apache Kafka構建流式數據平臺(1)Putting Apache Kafka To Use: A Practical Guide to Building a Stream Data Platform (Part 2)Announcing Kafka Connect: Building large-scale low-latency data pipelines Kafka連接:搭建大規模低延遲的數據管道Introducing Kafka Streams: Stream Processing Made Simple Kafka數據流:讓流處理更輕松Building a high-throughput data science machine 搭建高吞吐的數據科學機器
The Hadoop tipping point hadoop轉折點
Democratizing business analytics 民主化商業分析
Why your next analytics project should be in procurement 分析項目采購
Best practices for data lakes 數據湖的最佳實踐
Embeddable data transformation for real-time streams 實時流的數據處理
Data, technology, and the future of play 數據,技術和未來游戲
Learning in higher dimensions 在更高維度學習
Hadoop in the cloud 云端的HadoopApproaching big data from a business perspective 從商業角度看大數據
Oil, Gas, and Data 石油,天然氣,數據
Designing great data products 設計偉大的數據產品
Doing Data Science Right Your Most Common Questions Answered 做好數據科學的常見問題
How BuzzFeed Thinks About Data Science Buzzfeed數據科學的思考,進行中What to look for in a data scientist 數據科學家需要的
Statistics for Software
3. 招聘&面試
What I Learned from Blowing An Interview 從一次失敗的面試學到的東西The Trick Max Levchin Used to Hire the Best Engineers at PayPal Paypal CTO如何招聘最好工程師,完成How to Hire a Rock Star Engineer 如何招聘頂級工程師My favorite interview question 我最喜歡的面試題What-are-the-questions-that-can-be-asked-when-the-interviewer-asks-Any-questions 還有什么問題要問On Interviewing Software Engineers 怎么面試工程師Ace the coding interview, every time 攻克代碼面試
How Stack Overflow Does Technical Interviews Stack Overflow怎么做技術面試This Is How You Identify A-Players (In About 10 Minutes) During An Interview 在面試10分鐘內找到最好的人Startup Interviewing is Fucked 創業公司面試
How to Hire 怎么招聘 3 Tips for Onboarding New Hires Using Quip 新人報道指南
Firing People 如何開除
Layoffs 怎么知道會被解雇
Effective Code Reviews 高效代碼審查
Improving Our Engineering Interview Process 改進工程面試流程
i-quit-hiring-is-broken
This Startup Has a Radical Way to Encourage Work-Life Balance For Its People
Hiring is Broken... And It Isn't Worth Fixing
three-years-in-san-francisco
4. 管理&成長
How to get rich in tech, guaranteed. 怎么通過技術變富 已翻Fail at Scale 快速變化中的可靠性When I Learned That Computers Have Soul 計算機有沒有靈魂
#define CTO 定義CTODo the Right Thing 做正確的事情
The Surprising Secret to Being a Good Boss 成為好老板的秘訣
The Highest-Leverage Activities Aren't Always Deep Work 影響力大的工作不一定有多深
The Secret to Growing Your Engineering Career If You Don't Want to Manage 不走管理路線你還能職業發展的秘密Calculating the Value of Time: How Much is Your Time Really Worth?過去的時間管理都弱爆了!看硅谷人如何為自己的一小時定價The software engineer’s guide to asserting dominance in the workplace 工程師一周應該怎么過Sleep deprivation is not a badge of honor 不要熬夜
What is Craftsmanship and Why is it Important? 技術精益重要性
Being data-driven: It‘s all about the culture 數據驅動
Five principles for applying data science for social good
Beyond the Venn diagram 超越Venn類型
What I learned about software architecture from running a marathon 從馬拉松想到軟件架構
Defining a reactive microservice 定義微服務
Educating data 教育數據
Make Money Need Practice 賺錢需要經驗
It's Okay Not To Lead 不當老大也沒事
Autobiography of Blind Programmer 盲人程序員自傳
Those entry level startup jobs they are now mostly dead ends 初級創業公司工作死路一條
Everything is possible but nothing is free 一切皆有可能,但沒有免費午餐
Salary in my Startup: a Thought Experiment 創業公司薪水揭秘
Coding Like a Girl 女孩怎么編程
Art and Math and Science, Oh My! 藝術,數學和科學 已翻
The Munger Operating System: A Life That Really Works
5. 創業分享
my-y-combinator-experience我的Y COMBINATOR 之旅 How to Design a Better Pitch Deck如何設計出更好的融資PPT?How to build a good onboarding process for new hires at a startup創業公司如何培訓新員工How I validated my startup ideahttp://zhuanlan.zhihu.com/p/20695649?refer=donglaoshiAfter the Layoffs 裁員之后156 Startup Failure Post-Mortems 156家創業失敗啟示,1/3完成
10 tips for moving from programmer to entrepreneur 從程序員進化到企業家 進行中
When to join a startup 什么時候加入創業公司 譯完
Letter To A Young Programmer Considering A Startup 給想創業的年輕程序員的信
How to Time TravelAirbnb CEO告訴你如何寫一篇優秀的品牌(軟)文Ten classic books that define tech 十本書推薦How do you validate your startup idea before quitting your current job 在你辭職前如何驗證創業想法
6 questions every founder should ask before they raise capital 融資前要問的6個問題
The Best Time to Invest Startup 投資創業公司最佳時候
Ideas for Small Business 一個人的公司
Instagram Investment Instagram早期投資人
The New Rules of Startup Fundraising 創業融資的新規則
From side project to 250 million daily requests 從兼職項目到2.5億次日訪問
Up or Out: Solving the IT Turnover Crisis
elevate-yourself-with-side-projects 6. 行業公司和人物采訪
Head of Amazon Web Services on Finding the Next Great Opportunity AWS主管尋找下一個偉大計劃10-lessons-from-10-years-of-awsAWS 運營 10 周年學到的 10 條經驗教訓
Mark Zuckerberg tackles question on what he would do as Twitter CEO如果扎克伯格是Twitter的CEO,他會怎么做?How Zenefits Crashed Back Down To Earth謊言、酒宴:融資5.8億美元的硅谷獨角獸,瘋狂失控中Why I left the best job in the world The Startup 為何我離開世界上最好的工作A Decade at Google 在Google工作十年的感悟Hadoop creator Doug Cutting on evolving and succeeding in open source Doug 談Hadoop進化和開源Google and Facebook Team Up to Open Source the Gear Behind Their Empires Google 和FB談數據中心的較量 進行中
Facebook Doesn’t Make as Much Money as It Could Facebook錢還沒賺夠What My PhD Was Like 讀博是怎么過的
What Technology Will Look Like In Five Years 5年后技術什么樣 翻譯完Etsy CTO Q&A: We Need Software Engineers, Not Developers 我們要的是工程師,不是開發者Curation and Algorithms 人工挑選和算法
10X Durability 10倍可靠We’re in a brave, new post open source world 在開源世界中生存
From fleeing Vietnam in a refugee boat to becoming Uber’s CTO從難民到Uber首席技術官:一個幸存者的故事
What Will You Do After White-Collar Work? 白領工作后能做啥?Lyft To Uber: The Race Is On Lyft和Uber的戰爭How Jeff Bezos Became a Power Beyond Amazon突破Amazon,Jeff Bezos非凡影響力的崛起之路
Searching For Google CEO Sundar Pichai, The Most Powerful Tech Giant You've Never Heard Of Google CEO你沒聽說過的超強巨人Why This Tech Bubble is Worse Than the Tech Bubble of 2000 現在科技泡沫比2000年還大?
The sharing economy: A big step toward making Marshall McLuhan's Global Village a reality 共享經濟Algorithms of the Mind 思想的算法
The inside story of how Amazon created Echo, the next billion-dollar business no one saw coming亞馬遜 Echo 誕生記:起初無人看好,如今它卻擁有十億美元的商機
Three Lessons On Innovation I Learned During My 12 Years At Apple在蘋果工作12年,職場老兵告訴你如何創新Linux at 25: Q&A With Linus TorvaldsLinux 25 歲了,我采訪了大神 Linus
Founder of Pandora on Lessons from Near Dot Com Bust to Billion Dollar IPO Pandora從破產到十億俱樂部WeWork’s Radical Plan to Remake Real Estate With Code WeWork顛覆房地產
MY YEAR IN STARTUP HELL 50歲在創業公司
The Story Behind Siri 聽“Siri之父”講述Siri背后的故事Building Internet Startup Chinese Style 互聯網創業要像中國學習
http://www.bloomberg.com/features/2016-amazon-echo/
Inside Palantir, Silicon Valley's Most Secretive Company
Inside OpenAI, Elon Musk’s Wild Plan to Set Artificial Intelligence Free
interivew-with-shantanu-sinha
Inside Evan Spiegel's very private Snapchat StoryAndrew Ng: Why ‘Deep Learning’ Is a Mandate for Humans, Not Just Machines'I was losing $1 million a day, every day for 18 months': Meet Chris Anderson, the man behind TED talks 7. 人工智能&機器學習
How AI Is Feeding China s Internet Dragon AI是怎么適應中國互聯網巨龍的(百度)
Silicon Valley Looks to Artificial Intelligence for the Next Big Thing 硅谷把AI作為下一個大事Artificial Intelligence Finally Entered Our Everyday World AI最后進入我們每天的生活The Future of Chat Is not AI 聊天的未來不是AIAlphaGo and the Limits of Machine Intuition AlphaGo和機器覺醒
The current state of machine intelligence 2.0重磅機器智能 2.0 生態圖譜The future of machine intelligenceO’Reilly 報告:機器智能的未來Learning from Tay Tay學到的Learning from AlphaGo AlphaGo學習到的
Risto Miikkulainen on evolutionary computation and making robots think for themselves 如何讓機器人自我思考
How to build and run your first deep learning network 怎么搭建第一個深度學習網絡
Predictive modeling: Striking a balance between accuracy and interpretability
How human-machine collaboration has automated the data catalog 人工和機器如何合作生成數據目錄
Building a business that combines human experts and data science 把專家和數據科學結合
Unsupervised learning, attention, and other mysteries 非監督學習,注意和其他神秘
AI‘s dueling definitions AI的定義
In search of a model for modeling intelligence 模型智能的搜索
What is deep learning, and why should you care? 深度學習是啥
Compressed representations in the age of big data 大數據時代的壓縮表示
Machine learning in the wild 機器學習野蠻生長
Training and serving NLP models using Spark MLlib 通過spark庫做自然語言處理
Wouldn‘t it be fun to build your own Google? 能自己建個Google嗎
Small brains, big data 小大腦,大數據
On the evolution of machine learning 機器學習的進化
Evolutionary computation: Stepping stones and unexpected solutions 進化計算
Data has a shape 數據有型
Geoffrey Hinton, the 'godfather' of deep learning, on AlphaGo前沿 | 專訪Geoffrey Hinton:人工智能會繼續發展,請不要誤用
Million-dollar babies 硅谷為了搶人,做AI的學生有福了
Uber CTO reveals how Travis Kalanick hired him and offers advice for entrepreneurs Uber CTO揭秘招聘和對企業家建議
My path to OpenAI
8. 產品設計&用戶增長
How Slack Uses Slack Slack是如何使用Slack的The Design Sprint 設計的周期On building product at Medium Medium如何做產品的Duolinguo reach 110M Users 多鄰國怎么把用戶發展到上億的 ,已翻
Simple Design is What You Need, Not What You Want 簡單設計你需要的,而不是想要的
Growth is a system, not a bag of tricks 增長是一個系統Design, Process, and Collaboration at Stripe Stripe設計,流程和合作Product Hunt Rise Product Hunt 花了3年多成長故事
The Rise, Fall, and Rise of Bitly: How a Free Link Shortener Became a Real Business Adventures in Consumer Technology 短鏈服務如何掙錢的
How Apple Built 3D Touch 蘋果手機的3D觸摸怎么做的Hacking Word-of-Mouth: Making Referrals Work for Airbnb[Growth Hacking] Airbnb 邀請系統的實現過程
How Pinterest increased MAUs with one simple trick Pinterest實現MAU增長的小技巧
The vision, mission, and strategy for Coinbase Coinbase的使命和戰略
Mobile UX Design: What Makes a Good Notification? 手機UX設計:怎么做好通知
Joel Marsh on the science of design 設計科學
UX for beginners: Key ideas UX入門
Prototyping for physical and digital products 物理數字產品的原型設計
Snapchat's Ladder Snapchat的梯子
Freemium Conversion Rate: Why Spotify Destroys Dropbox by 667% Spotify的轉化率
The Story of AdMob: How One MBA Dropout Sold His Business to Google for $750 million AdMob 賣給Google 7.5億
Why Facebook And Mark Zuckerberg Went All In On Live Video Facebook為何全力做視頻直播
Y Combinator and The One Metric that Matters 集中在一個指標上Instagram and Facebook are Dead Instagram和Facebook都死了
Instagram is stupid Instagram太傻了
The Scientific Marketing Strategy Behind Exponential Growth
9. 前沿技術(虛擬現實,實時計算)
Timoni West on nailing the virtual reality user experience 虛擬現實體驗
The evolution of open source is a good thing 開源進化是好事
A new infrastructure for biology 生物的新架構
The IoT is a natural ecosystem for streaming analytics IOT是流分析的自然生態
Stream processing and messaging systems for the IoT age IOT的實時消息處理
Embeddable data transformation for real-time streams 實時流計算The big data market從Hadoop洞悉大數據市場:路漫漫其修遠兮
What‘ next for big data applications? 下一個大數據應用是什么Distributed systems performance solutions require real-time intelligence 分布式系統需要實時智能 10. 其他
Chinese Scions’ Song: My Daddy’s Rich and My Lamborghini’s Good-Looking 老爸很有錢,蘭博基尼很酷
The long march from China to the Ivies 中國學生進入哈佛的長征之路Priscilla Chan, in rare interview, tells how her goals with Mark Zuckerberg are shaped by personal story她讓扎克伯格死心塌地,原因就兩個字Heavy Recruitment of Chinese Students Sows Discord on U.S. Campuses 美國大學招了太多中國學生The American Scholar: Saving the Self in the Age of the Selfie 不要再自拍了“I had so many advantages, and I barely made it”: Pinterest engineer on Silicon Valley
How To Manage Developers When You're A Non-Tech Founder
How to be the most productive person in your office a€” and still get home by 5:30 p.m.
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作者:董飛
鏈接:https://zhuanlan.zhihu.com/p/20472545
來源:知乎
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