📄️ 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.