David Mytton
David Mytton, founder of Server Density, has been a PHP/Python programmer for 10 years. His code and server infrastructure now processes in excess of 1bn documents (10TB data) each month, using MongoDB extensively for the primary data store deployed
Talks I've Given
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MongoDB performance at scale
Featuring David Mytton
David Mytton: This talk for the Progressive NOSQL tutorials will examine MongoDB to point out important deployment considerations. It will include how to scale reads and writes, bottlenecks (and how to resolve them) and how to deploy redundantly across clusters of machines.
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Replacing RabbitMQ with MongoDB
Featuring David Mytton
David Mytton of Boxed Ice will provide a detailed look at building a fault tolerant, scalable queuing system that's (almost) as fast as RabbitMQ.
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Comparing MongoDB
Featuring David Mytton
This month we're focusing on analysing other distributed databases, and MongoDB , to see how they compare to Cassandra. The idea is to try to get an idea of the strengths and weaknesses of the different approaches and the use-cases they might be suitable for.
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Building a Queueing System in MongoDB
Featuring David Mytton
David Mytton will talk about building a queueing system in MongoDB and how to monitor your MongoDB cluster.
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Lightning talks: MongoDB is web scale
Featuring David Mytton
Demos and presentations from 6:30, with beers afterwards at The Slaughtered Lamb. This talk comes from David Mytton -- founder of Boxed Ice Ltd -- on "MongoDB is web scale".
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Monitoring MongoDB
Featuring David Mytton
What you need to keep tabs on to make sure your MongoDB cluster stays running healthily. At Boxed Ice, David uses MongoDB to handle billions of database documents.
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PHP Development with MongoDB
Featuring David Mytton
In this talk, David Mytton, founder of Boxed Ice, will talk about PHP development with MongoDB.
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Humongous Data at Server Density: Approaching 1 Billion Documents in MongoDB
Featuring David Mytton
David Mytton talks about humongous data at server density that approaches 1 billion documents in MongoDB.
