Comparing performance of bastion host on cloud using Amazon web services vs terraform

Bailuguttu, Sahana; Chavan, Akshatha S.; Pal, Oorja; Sannakavalappa, Kavya; Chakrabarti, Dipto

doi:10.11591/ijeecs.v30.i3.pp1722-1728

Cited by 2 publications

(1 citation statement)

References 16 publications

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“…The collaboration between OpenAI and AWS offers an innovative approach that can potentially improve cybersecurity at all levels, from early threat detection to protecting critical infrastructure [7,8]. The combination of AI's data-generating power and the AWS cloud's scalability promises to revolutionize how organizations address cyber challenges in an ever-changing digital environment.…”

Section: Introductionmentioning

confidence: 99%

Developing a Cybersecurity Training Environment through the Integration of OpenAI and AWS

Villegas-Ch,

Govea,

Ortiz-Garces

2024

Applied Sciences

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Cybersecurity is a critical concern in today’s digital age, where organizations face an ever-evolving cyber threat landscape. This study explores the potential of leveraging artificial intelligence and Amazon Web Services to improve cybersecurity practices. Combining the capabilities of OpenAI’s GPT-3 and DALL-E models with Amazon Web Services infrastructure aims to improve threat detection, generate high-quality synthetic training data, and optimize resource utilization. This work begins by demonstrating the ability of artificial intelligence to create synthetic cybersecurity data that simulates real-world threats. These data are essential for training threat detection systems and strengthening an organization’s resilience against cyberattacks. While our research shows the promising potential of artificial intelligence and Amazon Web Services in cybersecurity, it is essential to recognize the limitations. Continued research and refinement of AI models are needed to address increasingly sophisticated threats. Additionally, ethical and privacy considerations must be addressed when employing AI in cybersecurity practices. The results support the notion that this collaboration can revolutionize how organizations address cyber challenges, delivering greater efficiency, speed, and accuracy in threat detection and mitigation.

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Section: Introductionmentioning

confidence: 99%

Developing a Cybersecurity Training Environment through the Integration of OpenAI and AWS

Villegas-Ch,

Govea,

Ortiz-Garces

2024

Applied Sciences

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Optimizing DevOps Pipelines with Automation: Ansible and Terraform in AWS Environments

Venkat Marella

2024

Int J Sci Res Sci Eng Technol

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In order to improve operational efficiency and agility in contemporary IT systems, this study investigates the integration of DevOps methods with cloud management. It offers a thorough rundown of the main DevOps tools and technologies needed to manage cloud infrastructure, including as monitoring systems, CI/CD pipelines, Infrastructure as Code (IaC) tools, and configuration management systems. The inability to allow concurrent project development and deployment on the same operational infrastructure (such as a cluster of Docker containers) is a practical shortcoming of current DevOps systems. In order to fill the gaps in the current Development and Operations (DevOps) methods, this paper offers a thorough study and explores how such integrations in Amazon Web Services might enhance deployment efficiency, dependability in software and infrastructure delivery, and security. Thus, the goal of this research is to use the AWS platform to automate the processes of developing and maintaining IT infrastructure. Therefore, we provide a mathematical model in this research to ascertain the ideal arrangement for IT infrastructure. This study investigates in detail how Kubernetes clusters in the AWS environment may be efficiently automated, scaled, and managed using Terraform, an Infrastructure as Code (IaC) tool. It thoroughly examines the advantages of using Terraform, highlighting how it may enhance productivity, automation, scalability, and security while managing Kubernetes clusters. To demonstrate Terraform's capabilities in infrastructure management, the paper contrasts it with other popular (IaC) tools and techniques. It also explores how Terraform works with AWS services to streamline procedures and cut down on complexity. Trends and possible developments in combining Kubernetes and Terraform to improve the administration of cloud-native apps are also covered in the paper.

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Comparing performance of bastion host on cloud using Amazon web services vs terraform

Cited by 2 publications

References 16 publications

Developing a Cybersecurity Training Environment through the Integration of OpenAI and AWS

Developing a Cybersecurity Training Environment through the Integration of OpenAI and AWS

Optimizing DevOps Pipelines with Automation: Ansible and Terraform in AWS Environments

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