Performance Governance and Reliability Engineering Framework for Mission-Critical Data Platforms
DOI:
https://doi.org/10.22399/ijcesen.5099Keywords:
Performance Governance, Reliability Engineering, Mission-Critical Systems, Workload Isolation, Failure ContainmentAbstract
Mission-critical data platforms require predictable performance and availability because service degradation can lead to unacceptable operational, financial, or regulatory consequences. Traditional approaches treat performance tuning and reliability engineering as post-deployment operational activities. However, modern distributed data platforms require these properties to be embedded into system architecture. This paper proposes a Performance Governance and Reliability Engineering (PGRE) framework that integrates workload classification, workload isolation, performance baselining, failure containment, and scalability governance into a unified architectural discipline. The framework introduces governance mechanisms that monitor workload behavior, detect deviations from baseline performance models, and prevent cascading failures through architectural isolation boundaries. Experimental evaluation using mixed transactional and analytical workloads demonstrates that governance-driven approaches provide more stable performance and faster recovery than reactive operational management strategies. The framework provides practical architectural guidance for designing reliable and predictable mission-critical data platforms.
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