Presented by Lee Pike.

We address the problem of runtime monitoring for hard real-time programs—a domain in which correctness is critical yet has largely been overlooked in the runtime monitoring community. We describe the challenges to runtime monitoring for this domain as well as an approach to satisfy the challenges. The core of our approach is a language and compiler called Copilot. Copilot is a stream-based dataflow language that generates small constant-time and constant-space C programs, implementing embedded monitors. Copilot also generates its own scheduler, obviating the need for an underlying real-time operating system. This talk will include fun pictures and videos.

(NOTE: OSCON Birds of a Feather sessions are open to all in the community. You do not need to be registered for the conference to attend.)

As part of OSCON Francesco Cesarini will be leading an Erlang Birds of a Feather gathering at the Oregon Convention Center.

It's an opportunity to meet and greet other functional programming people and discuss how to get things done in the real world that demands highly available, fault tolerant, never-stop systems in heterogeneous environments.

Come prepared to talk and learn!

Also in attendance will be Erlang co-creator Robert Virding and other notable Erlang experts.

http://www.oscon.com/oscon2014/public/schedule/detail/37674

Design Patterns for working with Fast Data in Kafka

Apache Kafka is an open-source message broker project that provides a platform for storing and processing real-time data feeds. In this presentation Ian Downard will describe the concepts that are important to understand in order to effectively use the Kafka API. You will see how to prepare a development environment from scratch, how to write a basic publish/subscribe application, and how to run it on a variety of cluster types, including simple single-node clusters, multi-node clusters using Heroku’s “Kafka as a Service”, and enterprise-grade multi-node clusters using MapR’s Converged Data Platform.

Ian will also discuss strategies for working with "fast data" and how to maximize the throughput of your Kafka pipeline. He'll describe which Kafka configurations and data types have the largest impact on performance and provide some useful JUnit tests, combined with statistical analysis in R, that can help quantify how various configurations effect throughput.

The code and presentation for this talk will be available at https://github.com/iandow/design-patterns-for-fast-data.

Speaker:

Ian Downard is a technical evangelist for MapR where he is focused on creating developer-friendly ways to use the MapR Converged Data Platform.

• Personal Blog: http://www.bigendiandata.com
• Twitter: https://twitter.com/iandownard