METHODS OF MODELLING SCALED CLOUD RESOURCES
DOI:
https://doi.org/10.26906/SUNZ.2024.3.097Keywords:
cloud computing, scalable cloud resources, modeling methods, terraform, azurecloud, infrastructure optimization, efficient use of resources, analysis and evaluation, performance, stability, cost effectiveness, resource integration, infrastructure modelingAbstract
In the era of rapid development of cloud technologies, the main task is not only the research of existing opportunities, but also the practical implementation of solutions aimed at optimizing the use of cloud resources. The purpose of the article is to identify the most effective approaches to modeling cloud resources, which will allow organizations to achieve a significant reduction in the costs of using cloud resources while simultaneously ensuring a high level of performance and reliability of cloud services. The work offers effective strategies for automating the deployment and management of cloud infrastructure based on the Azure Cloud platform and the Terraform tool. Modern research emphasizes the importance of integrating automated management tools to increase the efficiency of cloud resource use, which includes the analysis of current challenges in scalable cloud resources, such as load balancing, ensuring continuous availability of services and optimization of resource use. An overview of optimization techniques demonstrates strategies for reducing costs and improving performance in cloud environments. The results of the study are intended for a wide range of specialists in the field.Downloads
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