DevOps · Platform Engineering · Cloud Infrastructure · Security Automation
I work close to infrastructure problems where reliability, repeatability, and operational clarity matter: provisioning labs, automating hypervisor configuration, documenting platform workflows, and turning infrastructure knowledge into reusable tooling.
- ☁️ Cloud infrastructure automation with Ansible, Terraform, and reproducible lab environments.
- 🧱 Virtualization platforms around Apache CloudStack, KVM, and image automation.
- 📈 Kubernetes observability with Prometheus, Alertmanager, and Grafana.
- 🔐 Security-oriented automation for access control, infrastructure operations, and platform governance.
- 🤖 Exploring AI Engineering, AI Security, MCP, and agentic workflows from a DevOps/platform perspective.
| Project | Focus | Stack |
|---|---|---|
| cloudstack-installer | Ansible-based CloudStack lab installer for a single-host management environment. | Ansible CloudStack MySQL NFS |
| kvm-installer | Hypervisor provisioning playbook for KVM hosts. | Ansible KVM Cockpit Netplan |
| cloudstack-lab-aws | Terraform lab infrastructure for CloudStack-related experimentation on AWS. | Terraform AWS HCL |
| packer-templates | Packer templates for virtual machine image automation. | Packer HCL XenServer |
| elastic-access-control | Ansible automation for Elastic Cloud user access management. | Ansible Elastic Cloud Security |
| k8s_monitoring | Kubernetes monitoring manifests for Prometheus, Alertmanager, Grafana, and kube-state-metrics. | Kubernetes Prometheus Grafana |
mindmap
root((Platform Engineering))
Cloud
AWS
Apache CloudStack
Virtualization
KVM
XenServer
Automation
Ansible
Terraform
Packer
Observability
Prometheus
Alertmanager
Grafana
Security
Access automation
Infrastructure governance
AI
AI Security
MCP
Agentic workflows
- Build reproducible systems that can be understood, reviewed, and improved by other engineers.
- Prefer clear documentation and operational runbooks over hidden knowledge.
- Keep automation practical: useful defaults, explicit requirements, and safe failure modes.
- Treat infrastructure repositories as products: README, examples, validation, and maintenance signals matter.
I enjoy sharing technical knowledge, supporting engineering communities, and contributing to DevOps/platform learning initiatives. My portfolio is being organized around production-minded infrastructure examples, open documentation, and reusable automation.
