AI-Driven Infrastructure: The Future of DevOps
Exploring how artificial intelligence is revolutionizing infrastructure management and deployment strategies.
Bridging the gap between development and operations with cutting-edge automation
DevOps Engineer with over 3 years of experience in cloud infrastructure, CI/CD automation, and scalable system deployments. Proven track record of optimizing delivery pipelines, reducing deployment time by up to 60%, and ensuring 99.9% uptime. Adept at collaborating across teams to build secure, resilient, and automated solutions leveraging AWS, Kubernetes, Terraform, and Jenkins.
Developed a scalable e-commerce platform for eco-active sports using React, Node.js, and AWS. The infrastructure was fully automated with Terraform, Docker, and Ansible, with secure, efficient deployments via GitLab CI/CD.
Built a Kubernetes platform on DigitalOcean, automated with Terraform and GitOps via ArgoCD. It features continuous delivery pipelines with Jenkins and GitLab CI, plus automated NGINX ingress and Prometheus monitoring for high uptime.
This project demonstrates deployment and contains the GitOps manifests for deploying, the google open source Sock Shop microservices demo application to a Kubernetes, cluster using ArgoCd with Kustomize overlays. It is designed to, work with a GitOps workflow, where all application configuration and, deployment is managed via version control.
A collection of Ansible playbooks for automating server provisioning, configuration management, and application deployment.
Exploring how artificial intelligence is revolutionizing infrastructure management and deployment strategies.
A comprehensive guide to implementing effective multi-cloud strategies for enterprise applications.
Essential security practices for building secure and compliant continuous integration and deployment pipelines.
I'm always interested in discussing new opportunities, innovative projects, and the future of DevOps and AI integration.