Thomas Arts co-founder and CTO of Quviq has an academic background with a PhD in theoretical computer science. Directly after his PhD, Thomas started at Ericsson’s computer Science Lab on verification tools for Erlang. After a short return to academia as professor at Chalmers, he is now fully devoted to amazing testing tools. Quviq is the company that productified QuickCheck, a tool that automatically generates tests. The tool is written in Erlang, but can be used to test systems written in a variety of languages. Among other successes, it is heavily used within the telecom and automotive industry, for example for testing 5G base stations and AUTOSAR standard software.
Recently a large deployment of the Riak noSQL database has been migrated from a dedicated data centre to the AWS cloud. What does that mean for Erlang software to make that transition? One clear point is fault tolerance. Two AWS instances are not guaranteed to run on different hardware. As a consequence, if your Erlang software is fault tolerant for hardware failure using distribution, these guarantees may be gone when just running cloud instances. Riak has fault tolerance based upon a ring of nodes. It is important that consecutive nodes run on different hardware. In order to establish this, we needed to design a new placement algorithm.
In this talk we also address what it means to move from slow/reliable disk to cloud fast/unreliable disk. From abundant intel-based CPU to limited ARM-based CPU and from low-cost RAM to constrained RAM usage. By a concrete case study we show general issues that arise in a transition to the cloud.
TALK OBJECTIVES:
We demonstrate what you should be prepared for if you want to make a transition from distributed Erlang/Elixir application on dedicated hardware to a cloud setting.
TARGET AUDIENCE:
Developers of distributed systems