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 […]
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FHIR API Security Part 1: Foundation & Authentication
Executive Summary Part 1 of 2: Foundation & Authentication 🏥 HEALTHCARE INTEROPERABILITY SERIES This article is part of a comprehensive series on healthcare data standards and interoperability. HL7 v2: The Messaging Standard That Powers Healthcare IT Building GDPR-Compliant FHIR APIs: A European Healthcare … EMR Modernization: Migrating from Legacy HL7 v2 to FHIR HL7 v3: […]
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 […]
Read more →Mastering Google Cloud Dataflow: Building Unified Batch and Streaming Pipelines at Scale
Introduction: Google Cloud Dataflow provides a fully managed, serverless data processing service built on Apache Beam that unifies batch and streaming pipelines. This comprehensive guide explores Dataflow’s enterprise capabilities, from pipeline design patterns and windowing strategies to autoscaling, cost optimization, and production monitoring. After building data pipelines processing terabytes daily across multiple cloud providers, I’ve […]
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