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OPEN TALK (CloudWorld): Performance & Latency Prediction Using AI/ML on Streaming and Eventing Platforms

CloudWorld Main Stage
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Hung Dinh
Dell EMC, Distinguished Member Technical Staff
Bijan Mohanty
Dell Technologies, Sr. Enterprise Architect

An innovator and serial inventor of more than 10 patents filed in US Patent & Trademark Office in the diverse domains of Machine Learning, NLP, Cloud Computing, IoT, Orchestration, and Robotics Process Automation.

Proven expert, thought leader and evangelist of Enterprise Architecture (EA), AI/Machine Learning

Leading expert in setting up and heading center of excellence in the area of Enterprise Architecture, Cloud Computing, API/Micro-services, Business Process Management, and Enterprise Application Integration

Driver and Overseer of the creations, implementation and governance of Enterprise Architecture and Enterprise Strategic Initiatives

Strong driving forces for implementing, socializing, and ensuring alignment to the Enterprise application technology vision/strategy and ensure compliance with corporate business strategy.

Leader of many Dell Merger and Acquisition (M&A) efforts in the technology/product due diligence and IT integration and disposition plans

Over 20 years of industry experience in building large scale Enterprise Architecture (EA), SOA, BPM, J2EE Middleware and Enterprise Application Integration (EAI) using Oracle/BEA and Tibco Technologies.

Spearheaded many product evaluation and recommendations in the area of B2B, Content Management (CMS), SOA/BPM, Integration Appliances and Cloud computing

IASA certified Enterprise Architect and Sun certified Enterprise Architect

Serves as an Industry Enterprise Architecture, API/SOA and Integration expert and represent Dell in external forums and conferences

Streaming and Eventing platforms like RabbitMQ, Kafka and IBM MQ are key enablers of Messages-Oriented-Middleware & Event Driven Architectures which are foundational to Digital Transformation.
Performance management for interactions with these platforms is always challenging.
Latency could have wide ranging impact on business
Creating Machine Learning based models to predict latency related anomalies would help avoid business outages before they happen.