Inference Engineering: A Practical Tutorial from GPU Fundamentals to Production LLM Serving
Learn inference engineering from the ground up — GPU architecture, LLM inference mechanics, quantization, speculative decoding, KV caching, vLLM, and production deployment. Hands-on tutorial with practical examples.
Data Migration Strategies: Zero-Downtime Patterns, CDC, Dual Writes, and Proving Correctness
A practical guide to production data migration strategies—big-bang vs online migrations, expand/contract, dual writes, CDC, validation, cutover, and rollback. Includes runnable code, mermaid diagrams, and trade-offs commonly tested in system design interviews.
ETL vs ELT: Production Tradeoffs, Modern Lakehouse Patterns, and Interview-Ready Reasoning
A production-focused guide to ETL vs ELT that explains where transformations run, how that impacts cost, governance, and latency, and how to justify the right choice in system design interviews.
The Teamwork Behind LLM Agents: Architecture and Orchestration, Explained
Comprehensive guide to Agentic AI Systems (LLM Agents) Architecture and Orchestration for software engineers
Agentic AI at Work: Building LLM Multi‑Agent Systems with Tools and Memory
Comprehensive guide to Agentic AI Systems: Designing LLM-Powered Multi-Agent Architectures with Tool Use and Memory for software engineers
Agentic AI Systems: Reliable LLM Agents with Tools, Memory, and Guardrails
Comprehensive guide to Agentic AI Systems: Designing Reliable LLM Agent Architectures with Tool Use, Memory, and Guardrails for software engineers
From Chatbots to Coworkers: Building Agentic AI with Tools, Memory, and Guardrails
Comprehensive guide to Agentic AI Systems: Designing Tool-Using LLM Agents with Memory, Planning, and Guardrails for software engineers
Agentic AI Systems in the Cloud: LLM Workflows with Tools, Memory & Guardrails
Comprehensive guide to Agentic AI Systems: Designing LLM-Powered Workflows with Tool Use, Memory, and Guardrails for software engineers
How NVIDIA DGX Spark Will Transform Local AI Development
NVIDIA's compact AI supercomputer delivers 1 petaflop of performance in a portable form factor, enabling developers to run 200B parameter models locally without cloud dependency.
Essential Distributed Systems Patterns for Modern Applications
Explore key patterns like circuit breakers, bulkheads, and saga orchestration that make distributed systems resilient and scalable.
Kubernetes Best Practices for Production Deployments
Learn essential practices for running Kubernetes in production, including resource management, security, and observability strategies.
GraphQL vs REST in 2024: Making the Right Choice
A comprehensive comparison of GraphQL and REST APIs, helping you choose the right technology for your next project.
Understanding Rust's Memory Safety Guarantees
Deep dive into how Rust prevents memory bugs at compile time through ownership, borrowing, and lifetimes.
Achieving Data Consistency in Microservices Architecture
Strategies and patterns for managing data consistency across distributed microservices, including event sourcing and SAGA patterns.