Abstract
Abstract: Infrastructure monitoring is crucial for ensuring the reliability and performance of modern software systems. As these systems grow in complexity and scale, the demand for efficient and scalable monitoring tools becomes increasingly important. This review paper examines the utilization of Django, a powerful web framework, for constructing infrastructure monitoring tools and provides an in-depth review of Django's capabilities, focusing on its robustness, scalability, and extensibility, as well as its compatibility with various databases and integration with other technologies. It explores the different components and modules within Django that can be leveraged to develop efficient infrastructure monitoring tools. The review delves into the Django ORM (Object-Relational Mapping) system, highlighting its role in effective database management for monitoring data. It also evaluates Django's authentication and authorization system, emphasizing its contribution to secure access control in the monitoring environment. The review further examines the Django admin interface, which simplifies monitoring configuration management and provide a comprehensive understanding of the benefits and considerations of utilizing Django for developing efficient and scalable infrastructure monitoring tools. It serves as a valuable resource for researchers and practitioners looking to construct robust monitoring systems using Django and contributes to the ongoing discourse on effective infrastructure monitoring in modern software ecosystems. In conclusion, the paper summarizes the advantages and challenges associated with leveraging Django for infrastructure monitoring tools. It highlights Django's versatility, productivity, and strong community support, while also addressing potential areas for improvement and future research directions.
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More From: International Journal for Research in Applied Science and Engineering Technology
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