Stream: Virtual Room 1
Time: 10:30 - 11:30
If you've considered embracing event-driven architectures and applications, your existing MQ queues are a great place to start. Your MQ messages are a key source of real-time events, representing the transactions, changes, and interactions occurring in your business.
Flowing these into an event streaming platform like Apache Kafka is a simple way to let you use your MQ messages in a wide range or additional ways. For example, you can emit notifications about events in real-time, enabling new and responsive applications. You can perform additional real-time analytics and analysis on the events as they're emitted, or you can perform auditing on a historical event log of previous messages.
In this session, we will demonstrate how you can set up a fast and reliable connection between MQ and Kafka without disrupting your existing MQ applications or queues, show you the way it can simply enable some of these powerful new use cases, and discuss some of the technical considerations you should keep in mind as you get started.
There is currently no attachment for Extend the value of your MQ messages
Chief Architect, IBM Event Integration
Dale is the architect for Event Driven integration offerings from IBM that help bring event-streaming to the enterprise, such as IBM Event Streams and IBM Event Endpoint Management. In previous roles, he worked on IBM’s Watson AI platform, transforming IBM Research’s AI breakthroughs into a platform for developers, and has been responsible for creating education resources for schools to help explain AI and machine learning.
Technical Lead, IBM Event Streams
Andrew is Technical Lead for the IBM Event Streams team. He has 22 years of software development experience across technologies such as IBM Watson, IBM Integration Bus and Apache Tuscany, and has spent the last 5 of those developing, designing and assisting customers with IBM Event Streams, which runs enterprise level Kafka clusters on Kubernetes.
Chief Architect, IBM Event Integration
Dale is the architect for Event Driven integration offerings from IBM that help bring event-streaming to the enterprise, such as IBM Event Streams and IBM Event Endpoint Management. In previous roles, he worked on IBM’s Watson AI platform, transforming IBM Research’s AI breakthroughs into a platform for developers, and has been responsible for creating education resources for schools to help explain AI and machine learning.
Technical Lead, IBM Event Streams
Andrew is Technical Lead for the IBM Event Streams team. He has 22 years of software development experience across technologies such as IBM Watson, IBM Integration Bus and Apache Tuscany, and has spent the last 5 of those developing, designing and assisting customers with IBM Event Streams, which runs enterprise level Kafka clusters on Kubernetes.
Chief Architect, IBM Event Integration
Dale is the architect for Event Driven integration offerings from IBM that help bring event-streaming to the enterprise, such as IBM Event Streams and IBM Event Endpoint Management. In previous roles, he worked on IBM’s Watson AI platform, transforming IBM Research’s AI breakthroughs into a platform for developers, and has been responsible for creating education resources for schools to help explain AI and machine learning.
Technical Lead, IBM Event Streams
Andrew is Technical Lead for the IBM Event Streams team. He has 22 years of software development experience across technologies such as IBM Watson, IBM Integration Bus and Apache Tuscany, and has spent the last 5 of those developing, designing and assisting customers with IBM Event Streams, which runs enterprise level Kafka clusters on Kubernetes.
Chief Architect, IBM Event Integration
Dale is the architect for Event Driven integration offerings from IBM that help bring event-streaming to the enterprise, such as IBM Event Streams and IBM Event Endpoint Management. In previous roles, he worked on IBM’s Watson AI platform, transforming IBM Research’s AI breakthroughs into a platform for developers, and has been responsible for creating education resources for schools to help explain AI and machine learning.
Technical Lead, IBM Event Streams
Andrew is Technical Lead for the IBM Event Streams team. He has 22 years of software development experience across technologies such as IBM Watson, IBM Integration Bus and Apache Tuscany, and has spent the last 5 of those developing, designing and assisting customers with IBM Event Streams, which runs enterprise level Kafka clusters on Kubernetes.
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