Dynamic Scaling and Cost Optimization: Best Practices for Software Engineers Leveraging AWS Spot Instances and Reserved Capacity
Authors: Sai Krishna Chirumamilla
DOI: https://doi.org/10.5281/zenodo.15107565
Short DOI: https://doi.org/g8986p
Country: USA
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Abstract:
Flexibility and cost management are becoming more valuable attributes to consider for software developers of cloud-based software solutions. With cloud usage increasing, cost optimization is equally becoming a consideration, as is performance. AWS offers multiple choices for compute instances, including Spot Instances and Reserved Instances, which have quite different saving advantages. Some of the well-known instances include Spot Instances; these give access to occasionally available units at markedly cheaper tariffs with the disadvantage that these can be interrupted. Medium-small scale and nonvital- or tolerant applications are best suited to these instances. On the other hand, there are Reserved Instances that provide sizeable cost reduction in return for a magnum commitment, which is best suited for apt, solid-state use. To maximize these options, the user must accurately determine the workload requirements of his/her organization and the pricing structure of AWS.
This paper examines the approaches and recommendations regarding utilizing such instance types most effectively in terms of costs while ensuring exceptional availability and service performance. As demonstrated in this case, the combination of Spot, Reserved, and On-Demand Instances enables software engineers to strike the right balance between flexibility and costs. Having analyzed dynamic scaling methods and workload management and working with AWS Auto Scaling, this study offers practical recommendations on effective, low-cost cloud architecture. This also entails efficiency in using cost optimization techniques by AWS, with the methodology that includes workflow diagrams, case and data-based information, making it a handy guide for cloud architects.
Keywords: AWS, Dynamic scaling, Cost optimization, Spot Instances, Reserved Instances, Cloud computing, Resource Management
Paper Id: 232330
Published On: 2024-08-06
Published In: Volume 12, Issue 4, July-August 2024