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Turbocharging Kafka Application State Recovery
Fri, 26 April
The session provides a comprehensive overview of a Kafka application state recovery service, specifically designed to optimize recovery times for applications.
In an event-sourced system, an application’s current state is typically derived from the complete history of events. This process involves performing a thorough read of a Kafka topic and transporting the events over the network prior to handling a command. However, this process can become time-consuming, particularly for applications with a high number of messages in the topic. We’ve developed a sophisticated Kafka application state recovery service that efficiently retrieves the state of a topic at any desired time or offset.
In this session, we will explore specific use cases where log compaction-based state recovery proves inadequate and demonstrate how the Kafka application state recovery service addresses these shortcomings with an effective, user-friendly solution.
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About the speaker
Mahendar Aleti
Director, Front Office Tech, D. E. Shaw India
Mahendar is a Director, Front Office Tech, at D. E. Shaw India. He heads the firm's trading systems, middleware, and monitoring technology teams. His diverse experience in business and platform development gives him a unique perspective on software development. Currently, Mahendar and his teams are working to create an advanced platform for real-time data streaming applications.
