Year: 2025
Type: article
Abstract: This article explores the implementation of dual Kafka clusters to provide uninterrupted upgrades of version and configuration, even when there are changes in mission-critical applications. The article presents theoretical assumptions, structural specifications, data consistency schemes, implementation strategies, and practical case studies, illustrating how organizations can escape the limitations of traditional rolling updates. The article conceptualizes Kafka clusters as interchangeable infrastructure units, requiring sophisticated synchronization strategies, consumer group management, and traffic routing mechanisms. Implementation success depends on structured deployment workflows, comprehensive validation methodologies, and automated verification processes. Case studies from major technology companies confirm significant improvements in availability, reduced operational risk, and enhanced deployment confidence, albeit with increased infrastructure costs that are offset by substantial operational benefits and return on investment over time.
Author: Suryachaitanya Yerra
Institution: SS&C Technologies (United States)
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4414550352
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