COST OPTIMIZATION STRATEGIES FOR CLOUD-NATIVE PLATFORMS: A COMPREHENSIVE ANALYSIS

Abstract

This comprehensive article explores advanced cost optimization strategies for cloud-native platforms, addressing organizations' complex challenges in managing cloud spending while maximizing performance and scalability. It begins by examining the key cost drivers in cloud-native environments, including compute resources, storage, data transfer, and third-party services. The article then delves into a range of resource management techniques, such as right-sizing, auto-scaling, and strategic utilization of various instance types. Particular attention is given to container and serverless optimization, detailing methods for efficient resource allocation, density optimization, and code-level improvements. The article also covers storage and data management strategies, emphasizing the importance of lifecycle management and data compression. A significant focus is placed on the critical role of continuous monitoring and cost visibility tools in maintaining optimal cloud economics. The article concludes by introducing the concept of FinOps as a cultural approach to cost optimization, highlighting the importance of cross-functional collaboration and integrating cost considerations into the development process. Throughout, the article draws on current research and industry best practices, providing a holistic view of cost optimization in cloud-native platforms that is both technically rigorous and practically applicable for organizations seeking to enhance their cloud financial management.