Software Engineering Advice from Building Large-Scale Distributed ...
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Software Engineering Advice from Building Large-Scale Distributed Systems Jeff Dean http://labs.google.com/people/jeff
Context • Lessons drawn from work across a broad range of areas – Products (ad serving systems, AdSense, four generations of web search crawling, indexing, and query serving systems, Google News, statistical machine translation, Google Codesearch, etc.) – Infrastructure (core indexing/search product components, MapReduce, BigTable, cluster scheduling systems, indexing service, core libraries, etc.) – Software tools (profiling systems, fast searching over source tree, etc.) – Other (system design advice, hiring process involvement)
• Talk is an unorganized set of tips drawn from this experience – Feel free to ask questions
Google Computing Environment • Large clusters of commodity PCs – not ultra-reliable – … but cheap – best performance/$
• Lots of stuff can go very wrong
The Joys of Real Hardware Typical first year for a new cluster: ~0.5 overheating (power down most machines in
