Abstract. Energy-efficient system design for high-volume cloud-native insurance applications has gained much attention from academia and practitioners over the past years. Energy-efficient design cannot be achieved through isolated optimization of single components without raising energy inefficiencies and reducing resilience. Energy efficiency must be considered holistically across architectural layers and the entire solution life- cycle whenever green software solutions are designed and constructed. Transportability and workload requirements play an important role in this context as these can have shaped energy and cost-efficient solutions with little variation across several products. Energy efficiency is particularly relevant during off-peak times when components should not just be scaled back, but rather spin down in order to minimize a potential negative influence on customer satisfaction. Reduced costs, resource savings through green software solutions, and meeting regulations such as the European GDPR or the SEC’s new climate rules also contribute to the corporate agenda. However, energy consumption reporting remains an unsolved issue in the cloud industry. Insufficient cost-to-energy metrics and the lack of regulatory compliance supporting these calls underline the need for a set of blueprints focusing on energy efficiency in high-volume cloud-native insurance systems.

Keywords: Green software, cloud-native, autoscaling, data tiering, server- less, energy efficiency, insurance workloads, Cloud-Native Architecture, Energy Efficiency Optimization, Green Computing, Scalable Microservices, Work- load Orchestration, Cost-to-Energy Ratio, High-Volume Transaction Processing, Sustainable IT Infrastructure, Dynamic Resource Allocation, Insurance Workflow Automation.

Downloads: | DOI: 10.17148/IJIREEICE.2020.81209