Optimizing Cost and Performance in Cloud-Native Financial Platforms
Author(s): Prashant Singh
Publication #: 2505034
Date of Publication: 06.06.2019
Country: USA
Pages: 1-10
Published In: Volume 5 Issue 3 June-2019
DOI: https://doi.org/10.5281/zenodo.15564473
Abstract
Adoption of cloud-native architectures has radically transformed the financial services sector. Businesses are given the ability to respond to fluctuating market demand with unparalleled speed, elasticity, and reliability. Cloud-native platforms are composed of microservices, container orchestration, and CI/CD pipelines, offering a distinct competitive advantage. But this metamorphosis comes with challenges of cost of operations management and maintaining consistently high performance - vital in the heavily regulated and performance-focused financial services industry. In tandem with the pay-per-usage accounting paradigm of public cloud providers, the fluctuating nature of cloud resource usage often leads to unpredictable costs and potential budget violations. At the same time, while running a bank, you are still under pressure to optimize performance to keep your users happy, process the transactions through the system, keep the data integrity in, and keep the regulators happy.
This report answers the joint requirement to optimize cost and performance on cloud-native financial platforms. The article examines various techniques including right sizing, server-less computing, financial operation (FinOps), predictive scaling and automation framework. Building on the latest theoretical literature and case studies, the report outlines evidence-based best practices and new best practices on the rise that companies can practice in their quest for operational excellence. Historyprovides a valuable basis as it brings to light the evolution of architectural styles, cost management trends and performance engineering approaches for this domain.
The study also explores how finance management principles are used to hold everyone accountable, in engineering and finance. The FinOps model encourages a culture of ownership and collaboration for better cloud spending without compromising system performance. Thispaper explains how serverless architectures manage to combine both the benefits of scaling advantages and cost reductions are complemented by a deep dive into the specific challenges with observability, security, and execution latency. The piece also highlights that modern monitoring and analytics platforms lead to improving visibility of performance and cost across infrastructure in real time.
The paper ends by recommending a comprehensive model consisting of technical, financial and operational controls in order to efficiently optimize cloud-native financial ecosystems. By following these recommendations, banks can reduce risk, maintain control of costs, increase user satisfaction, and meet regulations. What this research adds is offering a complete blue free instruction set covering academic and practical perspectives for any financial services organization considering taking on the challenge of a cloud-native transformation effort while respecting strict cost and performance criteria.
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