#architecture
15 articles tagged architecture.
What's New in Modern Java — and How to Build AI With It
Modern Java (21→25) brings virtual threads, structured concurrency, records, and the FFM API. Here's what's new and how it powers AI apps.
Spring AI: From Beginner to Expert — Course Overview
A complete Spring AI course for Java teams: setup, prompting, tool calling, RAG, MCP, choosing an LLM, and production architecture.
Claude Certified Architect (Foundations): Complete Exam Prep Course
A complete, hands-on prep course for the Claude Certified Architect — Foundations exam: the five domains, curriculum with code, and a four-week plan.
Apigee API Management: Beginner to Advanced — Course Overview
A complete Apigee course: architecture, API proxies, policies & security, environments, CI/CD, and Apigee as an AI gateway — beginner to advanced.
Zero to Production: Building Your First Enterprise LLM Application
A four-phase guide to taking an LLM prototype to a production enterprise app — RAG, caching, observability, cost control, and multi-model routing.
Building Fault-Tolerant AI Systems
Resilience patterns for production AI — circuit breakers, fallback chains, and graceful degradation so systems survive provider outages and rate limits.
RAG Systems Explained
A complete guide to Retrieval Augmented Generation — how it works, why each component matters, and how to build production-grade RAG pipelines.
Spring AI Enterprise Integration Guide
A practical guide to building enterprise-grade AI applications with Spring AI — from chat clients and RAG pipelines to production observability.
Microservices Best Practices
Enterprise-grade practices for designing, deploying, and operating microservices systems that actually scale — from domain modelling to runtime resilience.
Kafka Scalability Patterns
Practical patterns for designing highly scalable Kafka-based enterprise systems — from partition strategy to consumer group tuning.
Building Enterprise AI Agents
Architecture patterns and best practices for building production-grade AI agents that scale — from orchestration to observability.
RAG Chunking Strategies That Actually Improve Retrieval
Your RAG quality is capped by how you chunk. A practical comparison of fixed, recursive, semantic, and structural chunking, with sizing and overlap tips.
AI Gateways: Managing LLM Traffic in the Enterprise
As LLM usage spreads across an org, you need a control point. What an AI gateway is, the problems it solves, and the capabilities to look for.
Fine-tuning vs RAG vs Prompting: How to Choose
Teams reach for fine-tuning when they need RAG, or RAG when a better prompt would do. A decision framework for choosing the right approach by problem type.
Securing LLM Apps: Guardrails for Production
LLM features open new attack surfaces — prompt injection, data leakage, unsafe tool use. A practical guardrails checklist for shipping AI to production safely.