A Senior Product Manager in the Enterprise Database Market at IBM, Anson Kokkat is joining Reactive Summit with a talk “Successfully Design, Build and Run Fast Data Applications”. He will demonstrate how one can act on the massive data from IoT and online apps with data science, machine learning and open source tools in an integrated platform using IBM Db2 Event Store.
In advance of his talk, we spoke to Anson about real-time analytics, fast data, the main challenges companies face when deploying Reactive and best ways to address these challenges.
A Principal Software Engineering Manager at Microsoft, Sergey Bykov is one of the founders of the Orleans project at Microsoft Research which development he continues to lead, among his other projects. Before joining Microsoft Research, Sergey had worked in several Microsoft product groups, from BizTalk and Host Integration Server to embedded operating systems for Point of Sale terminals to Bing.
At Reactive Summit in Montreal, Sergey is doing a talk “Distributed Transactions are dead, long live distributed transactions!” covering Orleans and how it pioneered the Virtual Actor Model that offered a compelling alternative, especially for building scalable distributed applications.
In advance of his talk, we spoke to Sergey about his passion for the open source community, the challenges companies deploying Reactive face and his biggest professional dream.
A principal software engineer at Red Hat, Clement Escoffier, in his own words, “had several professional lives, from academic positions to management” and is now working as a Vert.x core developer. He’s an active contributor to many open source projects such as Apache Felix, iPOJO, Wisdom Framework, and naturally, Eclipse Vert.x.
At Reactive Summit in Montreal this October, he’s bringing Reactive to enterprise Java developers. In advance of his talk, we spoke to Clement about the complexity of distributed systems, the challenge of the fear of change, and why he doesn’t believe in 100% Reactive world.
Did you know that PayPal’s product performance tracking platform processes over 10 billion messages per day making it one of the busiest systems in PayPal? Its end-to-end Reactive data processing pipeline consists of Akka Streams, Kafka, Spark and Druid, which posed a number of technical and the organizational challenges, including converting this well-established team into a Reactive mindset.
In his talk, Turning PayPal’s Product Performance Tracking platform Reactive, End-to-End, at Reactive Summit in Montreal on October 23, Michael Zeltser, senior member of technical staff and architect at PayPal, will share a narrative useful for both beginner and intermediate audiences, builders and managers alike, that will help contextualize conceptual and practical aspects of switching to reactive systems.
In advance of his talk, we spoke to Michael about his path to Reactive systems, the future of Reactive, and why his job is never boring.
Helena (@helenaedelson) has been a Software Engineer for over 15 years. After a decade in distributed messaging she moved exclusively to working with Scala, first for cloud infrastructure automation, then big data, all for large scale distributed systems. As a Senior Cloud Engineer she was on the first Scala team at VMware building multi-tenant cloud automation systems, then in big data architecting, building and deploying streaming and batch analytics pipelines for Cyber Security for real time threat analysis.
Time for a new speaker interview again. I spoke to Katrin Shechtman to find out how Microservices and Checklists go together.
Kam is a real time streaming architect developing analytic pipelines that integrate into Intel’s Trusted Analytics Platform. He is an avid fan of akka, scala and platforms based on these architectures with past roles within eBay, Paypal and Yahoo.