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uokada 2024/03/15
postgresql

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uokada 2023/07/17
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uokada 2014/05/27
docker

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statistics

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uokada 2014/02/23
presentation

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uokada 2012/11/13
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devops

infrastructure
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uokada 2012/10/21
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uokada 2012/06/13
programming

algorithm

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uokada 2012/05/22
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python
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uokada 2012/04/02
slideshare

test

TDD
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Multiprocessing with python
This document provides an overview of concurrency in Python using multiprocessing and threading. It begins by introducing the speaker and defining key terms like concurrency, threads, and processes. It then discusses the benefits and use cases of threads versus processes. The document also covers the Global Interpreter Lock (GIL) in Python and how multiprocessing can help avoid it. It provides an
uokada 2012/03/06
python

multiprocessing

slideshare
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7 Stages of Scaling Web Applications
The document discusses the typical 7 stages of scaling a web application as it grows in popularity and usage. Stage 1 involves a simple initial architecture. Stage 2 adds more redundant components to improve performance and availability as usage grows. Stages 3-5 involve significant pain as the application is pushed to its limits, requiring re-architecting and partitioning of databases and service
uokada 2012/03/05
scalability

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uokada 2011/10/15
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python

event

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uokada 2011/10/03
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linux

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uokada 2011/09/27
hadoop

research

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Big Data
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uokada 2011/07/11
TDD

programming

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uokada 2011/04/11
apache

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uokada 2011/04/11
Hadoop

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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 profilin
uokada 2011/04/04
Kestrel

twitter

presentation

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