Vishal C.

I'm a Cloud DevOps and Site Reliability Engineer (SRE) specializing in designing, automating, and operating production-grade cloud-native and private cloud infrastructure. If your team relies on high-availability Kubernetes clusters, large-scale OpenStack environments, or AWS/Azure workloads, I provide the hands-on engineering to keep them stable, scalable, and fast to deploy. I work on the systems that keep distributed applications running: Infrastructure as Code, CI/CD pipelines, and production monitoring that catches problems before they reach users. My focus is on removing manual operational overhead, resolving deployment bottlenecks, and building infrastructure that scales predictably under real load whether that means standing up a new environment or stabilizing one that's already in production. Core Services - Cloud infrastructure design and deployment (AWS, Azure, private cloud/data-center environments) - Kubernetes platform engineering cluster operations, container orchestration, stateful workloads - OpenStack private cloud deployment and administration multi-tenant environments, compute virtualization - Infrastructure automation with Terraform and Ansible - Monitoring and observability metrics, logging, and alerting (Prometheus, Grafana, VictoriaMetrics, Loki, ELK, Zabbix) - Production troubleshooting, incident response, and root cause analysis Technical Depth My hands-on experience spans the full infrastructure lifecycle across complex, multi-controller environments. On OpenStack, I've operated large-scale private cloud deployments including Nova compute, Cinder block storage, Manila, and OVN/Open vSwitch networking, integrated with Ceph for software-defined storage supporting hundreds of VMs including dedicated GPU compute. On Kubernetes, I work across kubeadm and K3s clusters, Helm deployments, ingress and load balancing, HashiCorp Vault, and stateful workloads like PostgreSQL/CNPG, including GPU-backed workloads. I also work with AWS and Azure for cloud infrastructure design and deployment, applying the same automation and reliability practices I use in private cloud environments. Git, Python, and Bash tie the automation together, keeping deployments consistent and reducing configuration drift. Client Problems I Solve I get called in when teams are dealing with: - Unstable or failing Kubernetes workloads - OpenStack operational issues or scaling limits - Manual, error-prone deployment and configuration processes - CI/CD bottlenecks slowing down releases - Monitoring gaps that let incidents reach production unnoticed - Networking or storage issues in complex environments - Legacy infrastructure that needs migrating or modernizing Let's Connect If your Kubernetes clusters need stabilizing, your OpenStack environment needs automation, or your infrastructure needs to scale without breaking, message me. I'll ask about your current setup and where it's breaking down before proposing how to fix it.