Fred Hebert introduces two strategies for handling overload -load-shedding and back-pressure- along with different ways to make them work in Erlang focusing on the importance of planning for overload.
Benoît Chesneau discusses creating, scaling and reusing HTTP connections, summarizing techniques used to reduce memory usage in Erlang and ways to handle massive client connections efficiently.
Brian Troutwine shares insight on using Erlang for a highly concurrent and very low latency bidding system implemented by Adroll.
Jesse Newland discusses how GitHub pages were re-written with Erlang, Riak and Webmachine in order to improve their performance.
Fred Hebert discusses using Erlang for a real-time bidding system, providing some details of its design and architecture, along with lessons learned while implementing it.
Mike Williams discusses large vs. small software development teams, concluding that smaller teams are better suited for most cases.
Richard Carlsson introduces and demoes a library for using template strings with meta-variables. The library was used at Klarna to implement a DSL for business logic.
Erik Happi Stenman discusses 4 scalability basic requirements: the right business model, the right technology, the right people, and the right (amount of) process.
Mark Phillips discusses 3 types of distributed systems and how they run them at Basho: Computer Systems, Communities, and Companies.
Andy Gross reports on how Basho used Riak and Erlang to build their cloud storage service.
Mike Williams outlines some of the main characteristics that make developers and teams perform better than the average.
Pavlo Baron presents code samples when in his opinion Erlang is a better fit than Java.