John covered many aspects of Twitter’s scaling efforts, including: * Finding the weak points in Ruby on Rails and repairing them * In-house peer-to-peer: High-speed deploys across thousands of machines in no time at all * Managing thousands of machines: Why you need a central machine database, now * User management: How do you onboard many new developers and still remain fault-tolerant? * Caching methodologies and Twitter’s open source efforts * Asynchronous versus synchronous processing during request lifetime * Life after syslog:

Post By Gishore J Kallarackal (2,121 Posts)

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