Software Development
Programming languages, frameworks, tools, and architecture patterns. 24 posts in this category.
Software Development Posts
<- All categoriesCloudflare Deployment Models: Pages, Workers, and Static Export
A practical note on why Cloudflare Pages, Workers, OpenNext, and Next.js static export feel confusing during deployment.
OpenNext as a Platform Adapter
A practical explanation of how OpenNext converts Next.js build output into deployable packages for non-Vercel platforms.
Step By Step Build Your RAG: System Overview
A short overview of the full RAG build path, from why RAG is needed to indexing, retrieval, reranking, LLM design, and debugging.
RAG Parsing and Structure Design
A practical introduction to parsing and why structured data design improves RAG retrieval, generation, and debugging.
RAG Chunking Strategies
A practical guide to common RAG chunking strategies and how to choose the right one based on document type and retrieval behavior.
RAG Metadata Design
A practical explanation of metadata, how it differs from structure, and why it improves retrieval, filtering, tracing, and debugging in RAG systems.
RAG Vector Database Selection
A practical guide to choosing a suitable vector database for storing embeddings, metadata, and retrieval-ready RAG data.
RAG Retrieval Strategies
A practical comparison of common RAG retrieval strategies and how to choose the right one based on data type and query behavior.
RAG Reranking
A practical introduction to reranking in RAG systems, why it is different from retrieval, and when to add it.
RAG LLM Prompt Design
A practical guide to designing LLM prompts for RAG systems so answers stay grounded, scoped, traceable, and stable.
RAG Debugging System Design
A practical guide to designing a RAG debugging system that can locate failures across indexing, retrieval, reranking, and LLM generation.
AOP and Middleware: Injecting Logging Without Touching Business Logic
A practical comparison of Java AOP and Node.js middleware for adding performance logging, request tracing, and error observation without polluting core service logic.
The Art of Middleware: Turning Requests Into Performance Signals
A practical guide to using middleware for request lifecycle logging, performance diagnostics, error tracing, and production observability.
Nginx as a Traffic Controller
A practical introduction to what Nginx does, why it usually sits in front of application servers, and how it controls HTTP traffic.
Nginx vs Application Rate Limiting
A practical guide for deciding whether rate limiting should happen in Nginx, inside application code, or both.
Rate Limiting with Nginx
A practical explanation of how Nginx rate limiting protects backend applications by controlling request frequency before traffic reaches application code.
A Practical Roadmap for Database Performance Optimization
A practical escalation path for improving database performance, from better queries and indexes to replicas, partitioning, and distributed storage.
Two Cheapest Way To Increase Database Searching Performance
A practical explanation of how indexes and partitions reduce unnecessary database reads before more expensive scaling strategies are needed.
Short Polling vs Long Polling: Choosing a Status Update Strategy
Understand how short polling and long polling retrieve changing server state, how their code differs, and when each strategy is appropriate.
Database Query Performance Analysis
A practical PostgreSQL workflow for identifying expensive queries and reading execution plans before choosing an optimization.
Kafka vs RabbitMQ: Event History or Task Delivery?
A practical comparison of Kafka and RabbitMQ based on retention, replay, routing, consumer behavior, and backend system design.
What Is CPU Overhead and How Do You Reduce It?
A practical guide to finding unnecessary CPU work and reducing it through profiling, smaller workloads, and controlled concurrency.
How to Resolve I/O Overhead in Database-Driven Applications
A practical PostgreSQL-focused guide to reducing storage pressure through query analysis, indexing, read replicas, write control, and data-access design.
How to Diagnose Server Performance: CPU vs I/O Overhead
A practical Linux workflow for identifying whether server slowness comes from CPU execution or storage I/O waits.