James Aimonetti
VoIP Erlangineer
2600hz
James Aimonetti is a Senior Distributed Systems Engineer and Erlang Expert at 2600Hz, where he is helping design and build an open source, cloud telecom platform from the ground up. He has been involved in projects ranging from a collaborative fitness website to a text messaging platform used for sending inspirational text messages from authors like Steven Covey, Oprah, and the Dalai Lama, and class management software for Northwestern University.
James has worked in Erlang since 2007 and enjoys coding, advocating for, and teaching Erlang to the unwashed masses. Though currently living in San Francisco, James roots for the Portland Trailblazers, enjoys basketball, surfing, surfing, yoga, and hearing the groans of his coworkers when he puts country music on the office sound system.
James Aimonetti is Giving the Following Talks
Kazoo: An Erlang-Based Elegant, Distributed Cloud Architecture for Communications
This is a frank discussion about the benefits and challenges of scaling Erlang for massive communications applications in distributed environments. The talk will focus on how 2600hz uses Erlang, some of the Best practices we've learned while building our stack and how Erlang has really helped us get to market faster and easier.
Kazoo leverages Erlang as a core component of the infrastructure and so we have developed some unique insight into how Erlang can be run at scale. In particular, we focus on maintaining complex systems in multiple geographic areas using some of the unique properties that Erlang allows.
Talk objectives: This talk is intended to display and address Erlang at Scale. Erlang has been used for telecom systems since time immemorial, but the sheer distribution and open structure of Kazoo is different than what has come before. This talk aims to help folks understand why we chose Erlang, why we love it and how it gives us a competitive advantage.
Target audience: This talk would appeal to folks in the Telecom industry, folks who build large systems and people that are curious about what the distributed world looks like at scale.
