When building critical applications which require continuous operation, these systems must eliminate single points of failure. This is achieved by creating redundancy at all levels. For example, hospitals and airports require high availability to perform daily activities. When a portion of the IT infrastructure is broken the end users must still have access to key systems to do their work. The idea is to ensure uninterrupted processing of data in the event of a failure within a business critical environment.
There are three message buses supported for ESP failover: Solace, RabbitMQ and Kafka. This video will show how to use SAS Event Stream Processing (ESP) in conjunction with a Kafka message bus to build a real time fault-tolerant application which provides analytic services on a Kubernetes system running Viya 4.
The presentation highlights the following topics:
SAS ESP and Kafka work together to create a great high availability system with redundancy built into each part of the system. When combining these two technologies, real-time data pipelines and advanced analytics come together into a fault-tolerant, fast and scalable system.
Be sure to view my video for more information!
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