MAAZGHANI
I am a security-first Site Reliability Engineer who enjoys gluing things together. In a landscape where the only constant is change, I strive to build secure, resilient, and maintainable solutions.
Based in Seattle, WA, I currently manage multi-region EKS clusters and drive service mesh initiatives at Lululemon. My background spans from comparative religion to managing 1200+ Kubernetes nodes for Fortune 100 SaaS.
Lululemon
Supporting the Enterprise Kubernetes Platform housing core applications from warehouse systems to sales APIs. Managing multi-region EKS clusters and driving Istio Service Mesh initiatives using Terraform and ArgoCD.
NetApp
Operated 1200+ Kubernetes nodes across multiple AWS regions with microservice workloads. Achieved FedRAMP High compliance for real-time event-based metrics SaaS serving Fortune 100 customers.
Nordstrom
Supporting Nordstrom.com and internal platforms. Conducting Ops Readiness assessments and consultations on Design Reviews. Leading Business Continuity/Disaster Recovery initiatives.
Ottemo
Leading DevOps for scalable, cloud-based eCommerce platform. Building cost-effective SaaS solutions with cutting-edge technology for online store management.
ChatWithKubernetes
A CLI tool allowing natural language interaction with your Kubernetes cluster, leveraging LLMs to interpret intent into kubectl commands.
PDFQuery
Command-line tool for building vector databases from PDFs. Enables querying documentation using GPT for intelligent search.
Thinscale
A minimalist Kubernetes thin client setup using Raspberry Pi Zeros, Tailscale, and K3s for edge IoT meshes.
Interacting with Kubernetes Clusters from Copilot using a MCP Server
Using a k3d cluster, I test out a kubernetes-mcp-server implementation with Github Copilot
thinscale: a thinclient setup using tailscale, k3s, rasbpi zeros
A guide to creating a minimal, portable Kubernetes thin client using Raspberry Pi Zeros, Tailscale, and K3s.
tailk3scale —mesh vpn for IoT run on IoT
A lightweight Kubernetes and Tailscale VPN setup using Raspberry Pi for edge and IoT environments.