Applying the Kappa architecture in the telco industry
Kappa architecture and Bayesian models yield quick, accurate analytics in cloud monitoring systems.
Nicolas Seyvet
Nicolas Seyvet is a passionate software developer at Ericsson AB. Nicolas has worked on a wide range of telco grade (high-availability, scalable, redundant) applications for the telecom/multimedia business and is experienced in Java/JEE (10+ years) and C/C++(7+ years) and with databases (SQL, NoSQL). He joined Ericsson Research in 2013 to work on big data, the cloud, and analytics and built OpenStack and Hadoop/Spark clusters as well as some algorithms for RT data. Nicolas’s particular interests are coding, software engineering, software architecture, distributed and scalable systems, distributed processing, lean/agile methodologies, and the principles of good leadership. He specializes in software design and architecture of complex, high-performance systems, as well as leading high-performing cross-functional teams.