Getting Started with AI Architecture
Enterprise AI architecture patterns for secure, observable, and production-ready LLM systems.
Secure LLM Pipelines
Defense-in-depth architecture for LLM applications — prompt injection defense, output validation, PII filtering, and compliance enforcement.
AI Observability Stack
Production monitoring, tracing, and evaluation architecture for LLM applications — Langfuse, Phoenix, OpenTelemetry, and custom metrics.
DevOps for AI Systems
CI/CD pipelines, testing strategies, deployment patterns, and operational practices for AI applications — agents, RAG systems, and LLM-powered services.
Enterprise AI Security
Governance frameworks, compliance controls, and risk management for deploying LLM systems in regulated enterprises.
Production RAG Systems
Architecture patterns for production retrieval-augmented generation — hybrid retrieval, re-ranking, caching, evaluation, and deployment strategies.
AI Gateway Architecture
Architecture patterns for AI gateways — centralized LLM access control, routing, rate limiting, cost management, and security enforcement.
Prompt Injection Defense Architecture
Multi-layer defense architecture for prompt injection attacks — detection engines, canary tokens, input/output filtering, and real-time monitoring for LLM applications.
AI Infrastructure on Kubernetes
Kubernetes-native AI infrastructure — GPU scheduling, model serving with vLLM and Triton, inference autoscaling, vector database deployment, and agent orchestration patterns.
LLM Monitoring and Tracing
Production monitoring architecture for LLM applications — OpenTelemetry instrumentation, distributed tracing for chains and agents, SLIs/SLOs, alerting patterns, and dashboard templates.
AI Agent Infrastructure Architecture
Production architecture for deploying autonomous AI agents — multi-agent orchestration, tool integration, memory systems, guardrails, and observability for enterprise agent deployments.
Secure LLM API Gateway Deployment
Production deployment architecture for secure LLM API gateways — authentication, rate limiting, prompt security, multi-tenant isolation, and compliance-ready gateway infrastructure.
Multi-Model LLM Routing Architecture
Architecture patterns for routing requests across multiple LLM providers — cost optimization, latency-based routing, semantic caching, failover strategies, and model selection for enterprise AI platforms.
AI Cost Optimization Architecture
Architecture patterns for optimizing AI infrastructure costs — token budget management, semantic caching, model tiering, GPU right-sizing, and cost governance for enterprise AI deployments.
LLM Evaluation & Testing Architecture
Production architecture for LLM evaluation and testing — automated quality benchmarks, regression testing, evaluation pipelines, human-in-the-loop review, and CI/CD integration for LLM applications.
AI Data Pipeline Architecture
Production architecture for AI data pipelines — embedding generation, document processing, data quality, vector ingestion, feature stores, and ETL patterns for RAG and ML systems.
AI Infrastructure Architecture Playbooks
Central index of AI infrastructure architecture playbooks — production deployment patterns, security architectures, cost optimization, and operational guides for enterprise AI systems.
Architecture Blueprint Article System
Reusable article system for production AI architecture guides, observability stacks, deployment patterns, runtime blueprints, and case studies.
Enterprise AI Gateway Architecture Blueprint
Secure, observable, and scalable AI gateway architecture blueprint with beginner-friendly production guidance for enterprise LLM traffic control.