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moezdil/README.md

Hi there, I'm Mesut Oezdil

DevOps Engineer and Tech Lead of the CNCF TAG Infrastructure.

Be like water. Adapt to the system. Find the path.

CNCF CKS CKA CDP Nebius AI CloudOps Engineer Nebius Agentic AI Builder Nebius Fellow LiFT Sponsor

About me

  • I'm currently working on:
    • GPU virtualization on Kubernetes with Project HAMi
    • CUDA and GPU architecture with CUDA, step by step
    • IaC and zero-trust IAM with OpenTofu, Keycloak and Vault
  • I write on Medium (real clusters, real output, no fluff) and Substack (no AI-generated noise)
  • Find me on Linktree
  • If you like my work, you can sponsor me

Projects

siltide: One terminal for every accelerator, down to the pod. Stars Site

CUDA, step by step: Plain-English CUDA lessons with interactive diagrams. Stars Site

Recognition

  • CNCF TAG Infrastructure: Tech Lead, elected Jul 2026 (github.com/cncf/toc, tags/tag-infrastructure)
  • Nebius Fellow: Inaugural cohort, 2026 (nebius.com/fellows)
  • Linkerd Ambassador: The Linux Foundation, issued Oct 26, 2026, expires Dec 31, 2027

Linkerd Ambassador

Certifications

  • CKS: Certified Kubernetes Security Specialist
  • CKA: Certified Kubernetes Administrator
  • CDP: Certified DevSecOps Professional
  • Nebius AI CloudOps Engineer, Associate: issued Jul 2026, expires Jul 2029, ID ce101b80-3542-49b2-a6e1-2f47608da4c1
  • Nebius Agentic AI Builder, Associate: issued Jul 19, 2026, ID 6372bd7a-9a02-49d6-ac41-dfc3e7f7ef40

Nebius AI CloudOps Engineer Certification Nebius Agentic AI Builder Certification

Speaking

  • AGNTCon + MCPCon North America 2026: Speaker
  • PlatformCon 2026 (June 22–26, 2026): OpenTelemetry After the Hype: Making Observability a Platform Primitive. Watch on YouTube
  • OCP AI HW/SW Co-Design Workstream, Technical Deep-Dives:
    • MCP Deep-Dive: From Protocol Basics to Custom Extensions (May 15, 2026): A practical tour of the Model Context Protocol, what it is, why it matters, and how to extend it (JSON-RPC 2.0, Open Spec, Extensible). Watch on YouTube
    • A2A Deep-Dive (Part 2 of a Series): After the Tool Layer: A2A and the Protocols Agents Speak to Each Other (May 29, 2026): A practical tour of A2A, where it sits next to MCP, and how agents on the wire actually find one another. Watch on YouTube

PlatformCon 2026 Speaker Badge AGNTCon + MCPCon North America 2026 Speaker Badge

Writing

Publications

  • AI Fabric Specialization for Agentic AI: From General-Purpose Inference to Autonomous, Long-Running Agent Workflows, Open Compute Project Foundation. AI HW/SW Co-Design Workgroup, co-author, 2026.
  • From Pods to Petaflops: Engineering Production AI and High Performance Computing on Kubernetes, Packt. Co-author with Sanjeev Ganjihal, 600+ pages, publishing February 2027. What you will learn:
    • Map SLURM, PBS, and LSF concepts to Kubernetes primitives
    • Schedule batch jobs with Kueue, MultiKueue, JobSet, and LeaderWorkerSet
    • Run distributed Python and AI workloads with Ray on Kubernetes
    • Autoscale CPU and GPU nodes with Karpenter and Cluster Autoscaler
    • Manage and share GPUs with MIG, DRA, DCGM, and HAMi
    • Design high-throughput storage and checkpoint/restart for HPC and AI
    • Build finance, genomics, engineering, and AI-training platforms
    • Operate secure, observable, cost-aware multi-tenant clusters at scale

Languages and Tools

tools

GPU and AI Infrastructure

NVIDIA CUDA HAMi

Kubernetes and Cloud Native

Kubernetes ArgoCD Rancher Docker

Infrastructure as Code

OpenTofu Terraform Terragrunt

Identity and Secrets

Keycloak HashiCorp Vault OpenBao OIDC

Observability

OpenTelemetry Grafana Prometheus OpenSearch

CI/CD and Cloud

GitLab CI AWS IONOS Linux

Connect with me

Linktree Medium Substack CUDA Learning Sponsor

Pinned Loading

  1. CUDA CUDA Public

    Learn how a GPU works, then write CUDA code. Plain-English lessons with interactive diagrams.

    Cuda 113 13

  2. siltide siltide Public

    Terminal fleet monitor for GPUs, NPUs, and 13 other accelerator kinds, from utilization down to which pod is using them.

    Go 36 2