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Improving Running Components at Twitter
The document discusses improving performance at Twitter through caching and message queue optimizations. It describes four caching policies implemented including a vector, row, fragment, and page cache that achieved hit rates from 40-99%. A message queue was rewritten in Scala for better scalability and the memcached client was optimized which benefited both caching and the queue. Various profiling and debugging tools helped identify performance bottlenecks and measure improvements.
