Services Engineering

Services Engineering Reading List¶

服务工程的阅读清单，重点是云 基础设施服务.

我们欢迎 suggestions.

Papers¶

• Fault Injection in Production (Allspaw)
• Making Reliable Distributed Systems in the Presence of Software Errors （阿姆斯特朗）
• Highly Available Transactions: Virtues and Limitations （贝利斯等人）
• The Incident Command System （比格利和罗伯茨）
• Bigtable: a Distributed Storage System for Structured Data （张等人）
• Spanner: Google’s Globally-Distributed Database （科贝特等人）
• Dynamo: Amazon’s Highly Available Key-Value Store （德坎迪亚等人）
• MapReduce: Simplified Data Processing on Large Clusters （院长和 Ghemawat）
• The Google File System （Ghemawat 等人）
• On Designing and Deploying Internet Scale Services （汉密尔顿）
• Kafka: A Distributed Messaging System for Log Processing （克雷普斯等人）
• Weathering the Unexpected （克里希南）
• The Unified Logging Infrastructure for Data Analytics at Twitter （李等人）
• Automatic Management of Partitioned, Replicated Search Services （莱伯特等人）
• Learning to Embrace Failure （柠檬切利等人）
• Scaling Big Data Mining Infrastructure: The Twitter Experience （林和 Rayboy）
• Out of the Tar Pit （莫斯利和马克）
• The Log-Structured Merge-Tree （奥尼尔等人）
• In Search of an Understandable Consensus Algorithm （Ongaro 和 Ousterhout）
• Fallacies of Distributed Computing Explained (Rotem-Gal-Oz)
• F1 - The Fault-Tolerant Distributed RDBMS Supporting Google’s Ad Business （舒特等人）
• Dapper, A Large Scale Distributed Systems Tracing Infrastructure （西格尔曼等人）
• Resident Distributed Datasets: a Fault-Tolerant Abstraction for In-Memory Cluster Computing （扎哈里等人）
• The Human Side of Postmortems (Zwieback)
• Crew Resource Management: a Positive Change for the Fire Service

Posts¶

• Resilience Engineering: Part I, Part II (Allspaw)
• Systems Engineering: a Great Definition (Allspaw)
• Chaos Monkey Released Into The Wild （贝内特和采特林）
• Some Rules for Engineering and Operations （黑色的）
• Service Level Disagreements Part I, Part II （黑色的）
• Incuriosity Will Kill Your Infrastructure （克雷福德）
• My Philosophy on Alerting （埃瓦修克）
• You Can’t Sacrifice Partition Tolerance （房子）
• Customer Trust （汉密尔顿）
• Observations on Errors, Corrections, & Trust of Dependent Systems （汉密尔顿）
• Game Day Exercises at Stripe: Learning from kill -9 （赫德兰）
• Life Beyond Distributed Transactions: An Apostate’s Opinion （地狱）
• Notes on Distributed Systems for Young Bloods （霍奇斯）
• The Network is Reliable （金斯伯里）
• The Trouble with Clocks （金斯伯里）
• Call Me Maybe: Final Thoughts （金斯伯里）
• Getting Real About Distributed Systems Reliability （癌症）
• The Log: What every software engineer should know about real-time data's unifying abstraction （癌症）
• Incident Response at Heroku （麦格拉纳汉）
• On HTTP Load Testing （诺丁汉）
• Observability at Twitter （沃森）
• Stevey’s Google Platforms Rant （耶格）

Presentations¶

• Design, Lessons, and Advice from Building Distributed Systems at Google （院长）
• Service Design Best Practices （汉密尔顿）

Books¶

• The Field Guide To Understanding Human Error （德克尔）
• Agile Retrospectives: Making Good Teams Great （德比等人）
• Better: A Surgeon’s Notes on Performance （加万德）
• The Checklist Manifesto: How to Get Things Right （加万德）
• High Performance Browser Networking （格里戈里）
• Resilience Engineering in Practice （Hollnagel 等人）
• Effective Monitoring and Alerting （会绑定）
• Release It!: Design and Deploy Production-Ready Software （尼加德）
• The Challenger Launch Decision （旺市）
• Managing the Unexpected （韦克和萨克利夫）

Research Groups¶

• Berkley AMP Lab
• Berkeley Database Group
• Google Research
• Microsoft Systems Research
• Twitter Research

Conferences¶

• Monitorama
• Ricon
• Surge
• Velocity