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International Journal of Advanced Research in Computer and Communication Engineering
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 15, ISSUE 3, MARCH 2026

DOCKER SWARM CLUSTER ON AWS

A. Taniya Maria, Dr. C. Daniel Nesakumar

DOI: 10.17148/IJARCCE.2026.15345
Abstract: Docker Swarm is a native container orchestration platform that enables the deployment, management, and scaling of containerized applications across multiple machines. Implementing a Docker Swarm cluster on Amazon Web Services (AWS) provides a scalable, highly available, and fault-tolerant environment for modern cloud applications. In this architecture, multiple Amazon EC2 instances are configured as nodes within the swarm cluster, where manager nodes handle cluster management tasks such as scheduling, orchestration, and maintaining the desired state of services, while worker nodes run the application containers. AWS infrastructure components such as Elastic Compute Cloud (EC2), Elastic Load Balancer (ELB), Elastic Block Store (EBS), and Elastic File System (EFS) are integrated to support compute resources, traffic distribution, and persistent storage. The cluster is typically distributed across multiple availability zones to ensure high availability and resilience against failures. Docker Swarm simplifies container networking through overlay networks and provides built-in load balancing and service discovery. By deploying Docker Swarm on AWS, organizations can efficiently manage microservices-based applications, automate container deployment, and dynamically scale services according to workload demands while leveraging the reliability, security, and elasticity of the AWS cloud platform.
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Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite:

[1] A. Taniya Maria, Dr. C. Daniel Nesakumar, β€œDOCKER SWARM CLUSTER ON AWS,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.15345

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