Cloud Infrastructure Auto-Recovery and Self-Healing Dashboard on AWS

This paper presents the design and implementation of a Cloud Infrastructure Auto-Recovery and Self-Healing Dashboard on AWS using React, TypeScript, Python Flask, and AWS cloud services. The system integrates real-time EC2 monitoring, CloudWatch alarm analysis, automated recovery workflows, Auto Scaling support, SNS-based email notifications, and recovery event logging into a unified operational dashboard. Experimental evaluation demonstrates automated fault detection, stress-test recovery handling, and infrastructure resilience capabilities suitable for academic and small-scale cloud environments.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-01
DOI
https://doi.org/10.5281/zenodo.19948881
Primary Topic
Software System Performance and Reliability
Type
article
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article

Cloud Infrastructure Auto-Recovery and Self-Healing Dashboard on AWS

Srinivasalu P
Zenodo (CERN European Organization for Nuclear Research)
Software System Performance and Reliability
article

Cloud Infrastructure Auto-Recovery and Self-Healing Dashboard on AWS

Srinivasalu P
article en

Abstract

This paper presents the design and implementation of a Cloud Infrastructure Auto-Recovery and Self-Healing Dashboard on AWS using React, TypeScript, Python Flask, and AWS cloud services. The system integrates real-time EC2 monitoring, CloudWatch alarm analysis, automated recovery workflows, Auto Scaling support, SNS-based email notifications, and recovery event logging into a unified operational dashboard. Experimental evaluation demonstrates automated fault detection, stress-test recovery handling, and infrastructure resilience capabilities suitable for academic and small-scale cloud environments.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 3%
Software System Performance and Reliability
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