DevOps Automation Framework for Enhancing Integration and Accelerating Continuous Delivery
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Abstract
The growing requirements of fast, dependable, and scalable software delivery have amplified the necessity of powerful strategies of DevOps automation. The proposed research is the End-to-End DevOps Automation Framework that would facilitate end-to-end Continuous Integration (CI) and Continuous Delivery (CD) operations throughout the software development process. The framework unites automatic code integration, orchestration of the build, containerization, provisioning of infrastructure, security scanning, pipelines testing, and deployment monitoring into a single architecture. It uses Infrastructure as Code (IaC), container releases, test suites, and pipeline programs in order to promote consistency, reproducibility and scalability.
The suggested framework is designed to have six core layers, which include (1) Source Control and Version Management, (2) Automated Build and Dependency Management, (3) Continuous Testing and Quality Assurance, (4) Containerization and Artifact Management, (5) Infrastructure Provisioning and Configuration Management, and (6) Continuous Deployment and Observability. The framework will increase the resilience of a system through the addition of automated rollback features, policy-driven governance, and real-time monitoring dashboards, which will decrease the mean time to recovery (MTTR).
A cloud Microservices environment (experimentally validated) has shown considerable gains in terms of the frequency of deployment, defect rate, build stability, and release cycle time. The findings suggest that the suggested strategy reduces the human factor, limits the integration challenges, and provides secure and traceable deployments. This framework offers a blueprint that scales with the needs of organizations interested in the adoption of standardized practices of automation in Devops but with the guarantee of compliance, reliability, and operational efficiency of contemporary distributed systems.
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