PUBLIC ENGINEERING KNOWLEDGE SYSTEM
Understand deeply.
Build practically.
A structured learning portal for AI infrastructure, cloud architecture, platform engineering and the systems behind modern software.
AI & LLM Systems
Transformers, tokens, embeddings, RAG, agents and production AI.
↗02AI Infrastructure
GPUs, model serving, inference, MLOps and AI platforms.
↗03Cloud
Architecture, landing zones, identity, networking and governance.
↗04Platform Engineering
Golden paths, developer platforms and internal tooling.
↗05Kubernetes
From workload fundamentals to production platform architecture.
↗06Infrastructure as Code
Terraform, automation, reusable modules and delivery systems.
↗07DevOps
CI/CD, observability, reliability and production engineering.
↗08System Architecture
High-level design, low-level design and technical decisions.
↗MORE THAN BLOG POSTS
One knowledge base.
Multiple ways to learn.
Series
Follow a technical subject from first principles to advanced architecture.
HANDS-ON PRACTICELabs
Build, verify, troubleshoot and understand real systems step by step.
COMPLETE SYSTEMSProjects
See how multiple technologies combine into production-grade architectures.
ATOMIC KNOWLEDGENotes & articles
Quick discoveries, practical fixes and deep technical explanations.
Kubernetes Object Hierarchy Explained
Learn the Kubernetes object hierarchy from Cluster to Container with architecture diagrams, examples, interview questions, and best practices.
Markdown Style Guide
Here is a sample of some basic Markdown syntax that can be used when writing Markdown content in Astro.
Using MDX
Lorem ipsum dolor sit amet
THE BIGGER PICTURE
Learn the concept.
See the architecture.
Build the system.
BuildWithNavneet is designed as a public engineering knowledge system—not a chronological blog. Every article connects to a domain, path, series, lab or project so you always know what to learn next.
Enter the knowledge system →