Jul 2026· World Journal of Advanced Research and Reviews· Vol 31, pp. 545-551· 0 citations
TL;DR
GitOps continuous delivery methods, using tools like Argo CD, make Git repositories the main source of truth for both application settings and cluster status, removing the need for manual deployment tasks and preventing configuration inconsistencies.
Abstract
Internal Developer Platforms built on Kubernetes mark a significant change in how enterprises deliver software. Platform engineering teams create self-service environments that hide the complexity of infrastructure, allowing application developers to set up, deploy, and manage containerised applications without needing extensive knowledge of Kubernetes. This discipline uses standard templates, automated pipelines, and governance controls based on cloud-native features like Custom Resource Definitions, Helm charts, and role-based access control. These platforms rely on microservice architectures, which offer independently deployable services that interact through well-defined application programming interfaces. At the datacentre level, multi-path networking and bonding strategies ensure high availability, directly supporting service level agreements that require almost constant uptime. GitOps continuous delivery methods, using tools like Argo CD, make Git repositories the main source of truth for both application settings and cluster status, removing the need for manual deployment tasks and preventing configuration inconsistencies. Platform engineering teams in sectors such as hospitality, retail, and media gain clear business agility, faster deployment times, and long-term service reliability through this integrated approach.
An AI-enabled enterprise platform engineering framework for scalable developer platforms, intelligent infrastructure automation, and operational excellence is developed that indicates that combining self-service workflows with governed AI assistance can improve process consistency, reduce operational handoffs, strengthen continuous compliance, and support earlier detection and resolution of infrastructure failures.
Bhanu Kiran Kumar Muggalla· International Journal of Int...· 0 citations
This paper presents a realistic case study showing how the implementation of DevOps principles in cross-functional teams, with the help of the standardized pipelines and integrated automation, facilitates cooperation, reduces cycle times, enhances quality assurance and accelerates delivery outcomes.
Karthik Allam· International Journal of Eme...· 0 citations
This study investigates whether a frontier LLM can generate Dockerfiles and Docker Compose configurations for multi-service applications using repository contents without access to developer-authored deployment artifacts and analytically derives a minimal explicit deployment specification for information that cannot be reliably inferred from repository artifacts.
Oleg Grynets, Kyrylo Fursov, V. Lyashkevych et al.· arXiv.org· 0 citations
This paper explores the integration of Spring Boot with containerization and observability, focusing on best practices, architectural patterns, and challenges, and delves into containerization strategies using Docker and orchestration with Kubernetes, emphasizing their roles in deployment and scalability.
Youssef- Al-Habib, Omar Sullaiman· International Journal of Art...· 1 citation
Choosing the right mix of hybrid middleware, API governance, low-code integration platforms, and serverless computing allows large-scale transformation projects to move forward with predictable costs, consistent security, and the flexibility to adjust as software systems change.
S. Kanchumarthi· International Journal of Eme...· 0 citations
In this project, one will be working on building a Continuous Integration and Continuous Deployment pipeline using Microsoft Azure to automate software delivery and improve overall efficiency.
Ashwani Kumar, Geetanjali Amarawat· International Journal for Re...· 0 citations
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