Big Data Days 2019

 October 8-10   Moscow

Sriskandarajah Suhothayan

WSO2, Sri Lanka

BIO

Sriskandarajah Suhothayan (Suho) is a Senior Director at WSO2, focuses on the Real-time and Big data technologies. In addition to his product development efforts, he provides technology consulting and architecture reviews on customer engagements and teaches Big Data as a visiting lecturer at the Robert Gordon University and the University of Westminster. He drives the design and development of Siddhi – A Developer Centric Cloud-Native Stream Processing System, and works on building analytics solutions for areas such as Transportation, Fraud detection, API Management, Identity, and IoT. He also has also published several papers & articles on real-time streaming & complex event processing systems.

TALK

A Head Start on Cloud-native Event Driven Applications

There is an emerging need for efficiently building event-driven applications in the current microservices era, but the traditional message processing systems are falling behind as they are inflexible in adapting to the cloud. In this talk, I will present Siddhi, which is a 100% open source stream processing system that provides an efficient way of implementing event-driven cloud-native applications that can run natively on Kubernetes, and integrate to various systems such as NATS, Kafka, email, MongoDB and others. And also discuss how it can be used to build systems that provide streaming data integration, streaming analytics, and machine learning based adaptive intelligence in the cloud.

Session Keywords

Stream Processing
Kubernetes
Event Driven Applications

WORKSHOP

Building Cloud-native Event Driven Applications

There is an emerging need for efficiently building event-driven applications in the current microservices era, but the traditional message processing systems are falling behind as they are inflexible in adapting to the cloud. In this session, I will present Siddhi, which is a 100% open source stream processing system that provides an efficient way of implementing event-driven cloud-native applications that can run natively on Kubernetes, and integrate to various systems such as NATS, Kafka, email, and MongoDB. I will also do a hands-on session to showcase how you can build streaming data integration, streaming analytics, and machine learning based adaptive intelligence applications efficiently within minutes.