International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
•
Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
Home
Research Paper
Submit Research Paper
Publication Guidelines
Publication Charges
Upload Documents
Track Status / Pay Fees / Download Publication Certi.
Editors & Reviewers
View All
Join as a Reviewer
Get Membership Certificate
Current Issue
Publication Archive
Conference
Publishing Conf. with IJFMR
Upcoming Conference(s) ↓
Conferences Published ↓
IC-AIRCM-T3-2026
SPHERE-2025
AIMAR-2025
SVGASCA-2025
ICCE-2025
Chinai-2023
PIPRDA-2023
ICMRS'23
Contact Us
Plagiarism is checked by the leading plagiarism checker
Call for Paper
Volume 8 Issue 2
March-April 2026
Indexing Partners
High availability strategies in cloud infrastructure management
| Author(s) | Raghavendra Sridhar |
|---|---|
| Country | India |
| Abstract | This study investigates high availability (HA) strategies within cloud infrastructure management, which are critical for ensuring uninterrupted service delivery in the modern digital economy. As enterprise reliance on cloud platforms intensifies, the need for robust and resilient systems becomes paramount. High availability aims to minimize downtime and ensure continuous service delivery despite hardware malfunctions, network outages, or other unforeseen disruptions. The research explores fundamental HA concepts within cloud environments, analyzing key architectural strategies such as load balancing, clustering, auto-scaling, and database replication, alongside the native features offered by leading cloud service providers. To complement this theoretical analysis, a practical application was developed, deploying a small-scale cloud infrastructure to test its resilience against simulated failures. Utilizing tools such as Kubernetes for container orchestration and HAProxy for load balancing, the experiment evaluates system performance based on key metrics including response time, recovery speed, and downtime percentage. The results affirm that achieving high availability is contingent upon a foundation of proactive planning, strategic redundancy, and robust automation. The study concludes by offering best practices for HA design and discussing the influence of emerging trends like serverless computing and AI-driven fault management on the future of highly available cloud systems. |
| Keywords | High Availability, Cloud Infrastructure, Load Balancing, Clustering, Auto-Scaling, Database Replication, Kubernetes, Fault Tolerance. |
| Field | Engineering |
| Published In | Volume 3, Issue 2, March-April 2021 |
| Published On | 2021-03-11 |
| DOI | https://doi.org/10.36948/ijfmr.2021.v03i02.52042 |
Share this

E-ISSN 2582-2160
CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
Downloads
All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.
Powered by Sky Research Publication and Journals