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

Call for Paper Volume 8, Issue 2 (March-April 2026) Submit your research before last 3 days of April to publish your research paper in the issue of March-April.

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

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