
Linux GlusterFS high-availability data storage lab workflows using Ansible and Vagrant, and design an AI agent to automate storage management.
This hands-on practical lab course teaches how to design, deploy, and manage a highly available distributed storage system using GlusterFS on Ubuntu 24 Server. Learners build a complete 3-node storage cluster using VMware Workstation and HashiCorp Vagrant, and automate full infrastructure provisioning with Ansible Infrastructure as Code (IaC). The lab is enhanced with modern AI-assisted development workflows using tools like Devin / Windsurf AI coding agents to simulate real-world DevOps acceleration.
The course focuses on building a production-style storage backend that can be mounted and consumed by multiple compute platforms including Docker Swarm clusters and Kubernetes (K8s) environments. Students will learn how distributed storage works, how replication and redundancy ensure high availability, and how shared storage integrates with container orchestration platforms.
This course is important because modern cloud systems depend heavily on fault-tolerant, scalable, and distributed storage systems. Enterprises running microservices, cloud-native applications, and AI workloads require reliable shared storage that survives node failure. Understanding GlusterFS and automation tooling bridges the gap between system administration, DevOps engineering, and cloud architecture.
Key advantages of this course include:
Real-world infrastructure simulation using virtualized environments
Full automation using Ansible for repeatable deployments
Hands-on experience with distributed storage architecture
Integration with container platforms (Docker & Kubernetes)
Exposure to AI-assisted infrastructure coding workflows
Cross-platform learning (Windows, Linux, macOS environments)
This course is ideal for SREs, DevOps engineers, cloud engineers, system administrators, and infrastructure learners who want to master storage systems and automation. It is especially valuable for those preparing for production-grade cloud infrastructure roles.
In the future, distributed storage and automation will become even more critical as organizations move toward edge computing, hybrid cloud, and AI-driven infrastructure management. Skills learned here directly apply to modern cloud-native ecosystems and scalable enterprise systems.
This course is designed to be fully accessible on your personal computer, whether you are using Windows, macOS, or Linux. You can follow and practice every step using free tools such as VMware Workstation Pro / VMware Fusion (free personal use options where available), HashiCorp Vagrant (free), and Ansible (open source) to build and automate your infrastructure lab environments. In addition, you can optionally enhance your learning experience by using AI coding agents like Devin or Windsurf (free tiers where available) to assist with infrastructure scripting, automation, and troubleshooting. This ensures you can realistically simulate enterprise-grade DevOps and cloud infrastructure setups directly on your personal machine without requiring paid cloud resources.