Personal schedule for Jeffrey Kirkell

Over the past few years, Netflix has migrated to the cloud. This talk details Netflix's transition away from relational databases and towards high-availability (NoSQL) storage systems. We rely on a combination of proprietary (e.g. SimpleDB and S3) and open-source (e.g. Cassandra and HBase) NoSQL technologies. Read more.

The data & analytics teams at Etsy build up and tear down more than a thousand independent Hadoop clusters on EC2 each month. This talk discusses the benefits of this approach, where Elastic Map Reduce serves as a "meta-cluster" in which on-demand Hadoop clusters can be created, used, and shut down quickly and easily. Read more.

The Basho engineering team has been working to make Riak more queryable with the addition of built-in indexing plus a SQL-style query language. In this talk, Rusty describes the usage, benefits, limitations, and evolution of this this functionality, called Secondary Indices. He also covers the challenges and pitfalls of adding indexing to a distributed datastore. Read more.

The last few years have brought a wealth of new data technologies organized around horizontal scalability. This talk will cover the essential infrastructure areas: real-time stream processing, offline data crunching, large-scale data deployments and live serving. The focus will be on how these ingredients come together to enable innovative data-driven products at LinkedIn. Read more.

We'll present the architecture and implementation of a Node.js/DTrace-based distributed platform for analyzing the performance of cloud applications in real-time. We'll do a live demo on a real, internet-facing cloud and discuss some of the interesting performance pathologies we've found and explained using this tool. Read more.

Step right up and join us at the O'Reilly OSCON Carnival. There will be games, clowns, sumo wrestling, log rolling, tattoos, and lots more. There's free food, free wine, and free beer. You’ve never seen a carnival like this. Trust us. Read more.