Automated and Resilient Infrastructure Management with Failure Simulation: Utilizing Ansible, Kubernetes, Docker, cAdvisor and Prometheus on AWS
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| Natura: | Recurso digital |
| Lingua: | inglese |
| Pubblicazione: |
Zenodo
2025
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| _version_ | 1866902189023166464 |
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| author | Ajith, Vishnu |
| author_facet | Ajith, Vishnu |
| contents | <p>This MSc thesis presents the design and implementation of an automated and resilient infrastructure management system using modern DevOps tools such as Docker, Kubernetes, Ansible, cAdvisor, and Prometheus, deployed on Amazon Web Services (AWS). The research demonstrates how containerization, orchestration, and automation can be combined to achieve fault-tolerant, self-healing, and elastically scalable cloud infrastructures. Using Ansible for automation and patch management, Kubernetes for orchestration and auto-healing, and Prometheus with cAdvisor for real-time monitoring, the system reduces deployment time by up to 80% while improving reliability and observability. The thesis contributes to the growing field of cloud-native infrastructure optimization by integrating AWS EC2, ECR, and EKS for high availability, minimal downtime, and resource efficiency. The findings provide an applied reference architecture for modern DevOps and cloud computing environments.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17502242 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Automated and Resilient Infrastructure Management with Failure Simulation: Utilizing Ansible, Kubernetes, Docker, cAdvisor and Prometheus on AWS Ajith, Vishnu DevOps Cloud Computing Automation Kubernetes Ansible Prometheus AWS Infrastructure Management Elastic Scaling Monitoring Self-Healing Systems <p>This MSc thesis presents the design and implementation of an automated and resilient infrastructure management system using modern DevOps tools such as Docker, Kubernetes, Ansible, cAdvisor, and Prometheus, deployed on Amazon Web Services (AWS). The research demonstrates how containerization, orchestration, and automation can be combined to achieve fault-tolerant, self-healing, and elastically scalable cloud infrastructures. Using Ansible for automation and patch management, Kubernetes for orchestration and auto-healing, and Prometheus with cAdvisor for real-time monitoring, the system reduces deployment time by up to 80% while improving reliability and observability. The thesis contributes to the growing field of cloud-native infrastructure optimization by integrating AWS EC2, ECR, and EKS for high availability, minimal downtime, and resource efficiency. The findings provide an applied reference architecture for modern DevOps and cloud computing environments.</p> |
| title | Automated and Resilient Infrastructure Management with Failure Simulation: Utilizing Ansible, Kubernetes, Docker, cAdvisor and Prometheus on AWS |
| topic | DevOps Cloud Computing Automation Kubernetes Ansible Prometheus AWS Infrastructure Management Elastic Scaling Monitoring Self-Healing Systems |
| url | https://doi.org/10.5281/zenodo.17502242 |