Building AI-Powered Frontends: Real-Time LLM Interactions in React Expert Guide to Creating Seamless, Real-Time AI Experiences in Modern React Applications After building dozens of AI-powered applications over the past few years, I’ve learned that the frontend experience makes or breaks an AI product. It’s not enough to have a powerful LLM backend—users need to feel […]
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Event-Driven Architecture on GCP: Mastering Cloud Pub/Sub for Real-Time Systems
Google Cloud Pub/Sub provides the foundation for event-driven architectures at any scale, offering globally distributed messaging with exactly-once delivery semantics and sub-second latency. This comprehensive guide explores Pub/Sub’s enterprise capabilities. Cloud Pub/Sub Architecture Overview Pub/Sub Architecture: Topics, Subscriptions, and Delivery Guarantees Pub/Sub implements a publish-subscribe pattern where publishers send messages to topics and subscribers receive […]
Read more →FHIR API Security Part 1: Foundation & Authentication
The FHIR Security Threat Landscape (2025) SMART on FHIR Authentication ℹ️ INFO Real Cost of Breaches: The average healthcare data breach costs $10.93 million (Ponemon Institute, 2024). Change Healthcare’s 2024 ransomware attack cost $22 million in ransom alone, plus months of recovery. HSE Ireland spent over €100 million recovering from their 2021 attack. References & […]
Read more →Building Multi-Agent Workflows: Advanced LangGraph Patterns
Building multi-agent workflows requires careful orchestration. After building 18+ multi-agent systems with LangGraph, I’ve learned what works. Here’s the complete guide to advanced LangGraph patterns for multi-agent workflows. Figure 1: Multi-Agent Architecture with LangGraph Why Multi-Agent Workflows Multi-agent systems offer significant advantages: Specialization: Each agent handles specific tasks Parallelism: Agents can work simultaneously Scalability: Add […]
Read more →The Architecture Decision That Will Make or Break Your System: Monolith vs Microservices in 2025
The debate between monolithic and microservices architectures has evolved significantly over the past decade. What was once a straightforward “microservices are better” narrative has matured into a nuanced understanding that the right architecture depends entirely on context. After leading architecture decisions across dozens of enterprise systems, I’ve learned that the most expensive mistakes come not […]
Read more →LLM Application Monitoring: Metrics, Tracing, and Alerting for Production AI Systems
Introduction: LLM applications fail in ways traditional software doesn’t. A model might return syntactically correct but factually wrong responses. Latency can spike unpredictably. Costs can explode without warning. Token usage varies wildly based on input. Traditional APM tools miss these LLM-specific failure modes. This guide covers comprehensive monitoring for LLM applications: tracking latency, tokens, and […]
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