article · Zenodo (CERN European Organization for Nuclear Research) · 2020
Exploring the Adapter Container Pattern in Kubernetes
Bhargav Bachina
Cited by 0Open access
Abstract
Abstract This paper presents a comprehensive guide for deploying MERN (MongoDB, Express.js, React.js, Node.js) stack applications on Amazon Web Services (AWS) Elastic Container Service (ECS). With the increasing popularity of MERN stack for web development and the growing adoption of cloud computing, efficient deployment strategies are essential. Leveraging AWS ECS offers scalability, reliability, and ease of management. The paper provides an overview of MERN stack components, AWS ECS features, and a step-by-step deployment process covering containerization, task definition creation, cluster setup, service configuration, and load balancing. Practical examples, code snippets, and best practices are discussed to empower developers and DevOps engineers in efficiently deploying MERN stack applications on AWS ECS, facilitating streamlined development workflows and robust, cloud-native solutions.
Cite this paper
Bachina, B. (2020). Exploring the Adapter Container Pattern in Kubernetes. Zenodo (CERN European Organization for Nuclear Research). https://doi.org/10.5281/zenodo.10903281
Bachina, Bhargav. “Exploring the Adapter Container Pattern in Kubernetes.” Zenodo (CERN European Organization for Nuclear Research), 2020, https://doi.org/10.5281/zenodo.10903281.
Bachina, Bhargav. 2020. “Exploring the Adapter Container Pattern in Kubernetes.” Zenodo (CERN European Organization for Nuclear Research). https://doi.org/10.5281/zenodo.10903281.
Bachina, B. (2020) ‘Exploring the Adapter Container Pattern in Kubernetes’, Zenodo (CERN European Organization for Nuclear Research). Available at: https://doi.org/10.5281/zenodo.10903281.
@article{bachina2020exploring,
title = {{Exploring the Adapter Container Pattern in Kubernetes}},
author = {Bachina, Bhargav},
journal = {Zenodo (CERN European Organization for Nuclear Research)},
year = {2020},
doi = {10.5281/zenodo.10903281}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.