Anish Bista
@anishbista
Aspiring DevOps engineer with expertise in cloud migration and Kubernetes.
What I'm looking for
I am a passionate DevOps engineer with hands-on experience in cloud migration and Kubernetes orchestration. During my internship at CloudRaft, I successfully migrated microservices from AWS to Azure, utilizing tools like Argo CD and Grafana. My work included developing a scalable token-based metering system for an AI platform using Golang, which has enhanced my programming skills and understanding of cloud infrastructure.
In addition to my internship, I have contributed to open-source projects such as KubeVirt and Kanister, focusing on documentation, bug fixes, and feature development. My commitment to the cloud-native community is evident through my role as a co-organizer for CNCF Kathmandu, where I help build a vibrant community in Nepal. I have also presented talks on containers and Kubernetes, sharing my knowledge and insights with others.
Experience
Work history, roles, and key accomplishments
Devops Intern
CloudRaft
Nov 2024 - Feb 2025 (3 months)
Migrated microservices from AWS to Azure using Argo CD, integrating Argo Image Updater, Argo Notifications, Ingress, and Cert Manager. Developed a scalable token-based metering system for an AI platform using Golang and transitioned Grafana dashboards to Grafana Mimir. Researched Cilium Hubble for advanced network traffic monitoring and published articles on Kubernetes autoscaling, observability,
Open Source Contributor
KubeVirt & Kanister Projects
Contributed to the KubeVirt project, focusing on issue reporting, VM communication, documentation, bug fixes, and feature development across multiple repositories. Enhanced the Kanister project by improving documentation, enabling linters, and resolving related errors within the Kanister Operator.
Education
Degrees, certifications, and relevant coursework
CMR Institute of Technology
Bachelor of Computer Science and Engineering, Computer Science and Engineering
Grade: 8.5 CGPA
Pursued a Bachelor of Computer Science and Engineering. Achieved a CGPA of 8.5.
Tech stack
Software and tools used professionally
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