Services Engineering Reading List
Overview
- A reading list for services engineering, with a focus on cloud infrastructure services
- Most content is on applied distributed systems and systems operations
- Goals
- Collect relevant information in a single place
- Provide insight into how organizations running services think about systems engineering
- WIP, please send suggestions to @mmcgrana
Posts, Pages, and Decks
- Resilience Engineering: Part I, Part II (Allspaw)
- Systems Engineering: a Great Definition (Allspaw)
- Some Rules for Engineering and Operations (Black)
- Service Level Disagreements Part I, Part II (Black)
- Design, Lessons, and Advice from Building Distributed Systems at Google (Dean)
- You Can’t Sacrifice Partition Tolerance (Hale)
- Customer Trust (Hamilton)
- On Designing and Deploying Internet Scale Services (Hamilton)
- Observations on Errors, Corrections, & Trust of Dependent Systems (Hamilton)
- Service Design Best Practices (Hamilton)
- Life Beyond Distributed Transactions: An Apostate’s Opinion (Helland)
- Notes on Distributed Systems for Young Bloods (Hodges)
- The Network is Reliable (Kingsbury)
- Call Me Maybe: Final Thoughts (Kingsbury)
- Getting Real About Distributed Systems Reliability (Kreps)
- On HTTP Load Testing (Nottingham)
- Observability at Twitter (Watson)
- Crew Resource Management (Wikipedia)
- Stevey’s Google Platforms Rant (Yegge)
Books
- Agile Retrospectives: Making Good Teams Great (Derby et al.)
- Better: A Surgeon’s Notes on Performance (Gawande)
- The Checklist Manifesto: How to Get Things Right (Gawande)
Papers
- MapReduce: Simplified Data Processing on Large Clusters (Dean and Ghemawat)
- The Chubby Lock Service for Loosely Coupled Distributed Systems (Burrows)
- Dappar, A Large Scale Distributed Systems Tracing Infrastructure (Sigelman et al.)
- The Google File System (Ghemawat et al.)
- Spanner: Google’s Globally-Distributed Database (Corbett et al.)
- Making Reliable Distributed Systems in the Presence of Software Errors (Armstrong)
- Failure Trends in a Large Disk Drive Population (Pinheiro et al.)
- Fallacies of Distributed Computing Explained (Arnon Rotem-Gal-Oz)
- F1 - The Fault-Tolerant Distributed RDBMS Supporting Google’s Ad Business (Shute et al.)