Instructor
Manohar Shetty
Learn DevOps by Doing | AWS, Kubernetes, OpenShift, Alerts
About me
I am a DevOps Engineer with over 8 years of hands-on experience in designing, building, automating, and scaling modern infrastructure across on-premise, cloud, and containerized environments. I specialize in Kubernetes, OpenShift, Docker, AWS, Terraform, Prometheus, and CI/CD pipelines, helping organizations move toward reliable, observable, and production-ready platforms.
Over the years, I have worked extensively on cloud-native and container platforms, designing and managing Kubernetes and OpenShift clusters for real-world workloads. My experience includes cluster architecture, networking, storage integration, security hardening, and operational troubleshooting at scale. I have supported both greenfield implementations and complex migrations from traditional virtualization and legacy platforms into Kubernetes-based environments.
I have strong expertise in infrastructure automation and Infrastructure as Code (IaC) using Terraform, Ansible, and shell scripting. I have automated the provisioning of cloud resources, Kubernetes clusters, networking components, and security configurations to ensure repeatability, consistency, and reduced operational risk.
Monitoring and observability have been a key focus of my work. I have implemented end-to-end monitoring and alerting solutions using Prometheus, Alertmanager, and Grafana, enabling teams to gain visibility into system health, performance bottlenecks, and failure scenarios. My work emphasizes proactive alerting, meaningful metrics, and actionable dashboards rather than noise.
In addition, I have built and maintained CI/CD pipelines that support containerized application delivery, enabling faster deployments while maintaining reliability and control. I strongly believe in practical DevOps practices that balance speed with stability, rather than tooling for its own sake.
Through my blogs, courses, and videos, I focus on explaining complex DevOps and cloud concepts in a clear, practical, and real-world manner, based on actual production scenarios—not just documentation or theory. My goal is to help engineers understand why systems work the way they do, not just how to run commands.