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Operations at Twitter: Scaling Beyond 100 Million Users
Abstract:
John will cover 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: What do you do when it won't work anymore?
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BibTeX
@conference {267064,
author = {John Adams},
title = {Operations at Twitter: Scaling Beyond 100 Million Users},
year = {2010},
address = {San Jose, CA},
publisher = {USENIX Association},
month = nov
}
author = {John Adams},
title = {Operations at Twitter: Scaling Beyond 100 Million Users},
year = {2010},
address = {San Jose, CA},
publisher = {USENIX Association},
month = nov
}
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