Learning Resources
Open-source projects and guides I've created to help you master DevOps, Kubernetes, and cloud-native technologies
All projects are open-source and actively maintained on GitHub. Star them if you find them useful!
Interview Preparation
Tech Vault
★ 3.3k+A comprehensive documentation of carefully curated technical engineering questions and challenges. Features popular and essential engineering questions designed to evaluate candidate knowledge across various technical domains.
DevOps Interview Prep
Interactive CLI tool for DevOps interview preparation with real-world scenario questions. Practice technical interviews in an engaging, hands-on format.
Kubernetes Certification & Learning
KCNA Study Guide
Curated notes and resources to help you prepare for the Kubernetes and Cloud Native Associate Exam (KCNA). Great for understanding the cloud-native ecosystem, containers, and Kubernetes fundamentals.
CKS Exercises
A curated collection of exercises to help prepare for the Certified Kubernetes Security Specialist (CKS). Exercises segregated by domain as per the CNCF curriculum.
K8s in a Box
Spin up a local Kubernetes (kind) cluster and get a random broken app to fix. No spoilers. Use your K8s, Linux, and networking skills to diagnose and repair.
Hands-On Labs & Platforms
Unix Learning Site
Interactive Unix/Linux learning platform. Master command-line fundamentals, shell scripting, and system administration through hands-on exercises.
Container Networking Lab
Hands-on container networking from scratch. Deep dive into Docker networking, bridge networks, overlay networks, and container-to-container communication.
EKS Playground
AWS EKS examples and patterns. Production-ready configurations, best practices, and real-world scenarios for managing Kubernetes on AWS.
Playground
Terraform, AWS, K8s experiments and examples. A collection of infrastructure patterns, automation scripts, and cloud-native implementations.
Spawnd
Open-source cloud lab platform for DevOps training with KubeVirt. Create isolated, ephemeral environments for learning and experimentation.
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