Optimizing Resource Allocation through Telemetry-Based Performance Monitoring

Abstract

The dynamic nature of modern software systems, often characterized by distributed architectures, microservices, and cloud-based deployments, presents significant challenges for resource allocation [4]. Traditional approaches to resource management, typically static and reactive, struggle to keep pace with the fluctuating demands and complex interdependencies within these environments. This paper delves into the utilization of telemetry-based performance monitoring as a strategic tool for optimizing resource allocation. By providing real-time insights into system behavior, resource utilization, and application performance, telemetry data empowers informed decision-making, leading to efficient resource management, cost reduction, improved scalability, and enhanced system stability.