Big Systems Talks

@bigsystemstalks

Talks on high-performance computing, distributed systems, devops, and other fun with lots of computers.

6 posts

Fascinating panel from the Dell booth at SC13 on the role of virtualization in HPC centers.

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Bloom: Big Systems from Small Programs

This talk covers the Bloom language, an experimental programming language for building distributed systems. Bloom provides a bunch of tools for making distributed programming easier, emphasizing the idea of data types which are "ACID 2.0" -- associative, commutative, idempotent and distributed. They are therefore less sensitive to consensus issues. (This seems similar to CRDTs.)

This is another talk from Ricon East 2013.

Other links:

Bloom language site

Blog post about ACID 2.0

High Scalability article about CRDTs

#distributed systems #bloom #crdts

Realtime Systems for Social Data Analysis

This is a talk from Hillary Mason at bit.ly about building systems to analyze social data in real time, and sharing a few interesting results. This is one of the more fun talks I've listened to in a while, because Mason is obviously enjoying her work and is greatly amused by it at times.

One of the things she talked about was about how you can use data to solve problems you can't necessarily reason about yet -- giving the example of recognizing what language a given piece of text is in. bit.ly was able to do this for web pages more accurately by simply watching which people were clicking a link to the page, and what languages they spoke, than analyzing the text directly. This is another talk from Ricon East 2013.

#big data #social #ricon

I keep finding fun talks from the Ricon conference, and I've watched a few from Ricon East 2013. A few more of these will probably appear here, but it's worth your time to look through some of the posted talks.

#distributed systems #ricon

Why did we think large scale distributed systems would be easy?

KeyNote from PuppetConf 2013, by Gordon Rowell at Google. Good thoughts on how to design for resiliency and deal with failure, at least if you're Google and have tons of resources.

#distributed systems #load balancing #puppetconf

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Call Me Maybe: Carly Rae Jepsen and the Perils of Network Partitions

Aphyr's series of posts on Jepsen explores the effects of network partitions on various distributed datastores (i.e. MongoDB, Zookeeper, Cassandra, or what have you). They are a lot of fun to read as Aphyr (aka Kyle Kingsbury) simulates partitions and observes the results, and then attempts to explain why the system breaks.

This talk was given at RICON East and presents some of these experiments, and is also quite entertaining.

Other links:

jepsen tool on Github

#distributed systems #carly rae jepsen #networking

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