Deploying LLMs on Kubernetes requires careful planning. After deploying 25+ LLM models on Kubernetes, I’ve learned what works. Here’s the complete guide to running LLMs on Kubernetes in production. Figure 1: Kubernetes LLM Architecture Why Kubernetes for LLMs Kubernetes offers significant advantages for LLM deployment: Scalability: Auto-scale based on demand Resource management: Efficient GPU and […]
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Inside Ireland’s Healthcare IT: HSE’s Digital Transformation Journey
Executive Summary Ireland’s Health Service Executive (HSE) is undertaking one of Europe’s most ambitious healthcare IT transformation programs. From rolling out the Individual Health Identifier (IHI) to deploying a national Electronic Health Record system, the HSE’s eHealth Ireland strategy is modernizing how 5 million Irish citizens access healthcare services. 🏥 HEALTHCARE INTEROPERABILITY SERIES This article […]
Read more →Types of Machine Learning Explained: Supervised, Unsupervised, and Reinforcement Learning
Deep dive into the three fundamental paradigms of machine learning. Explore supervised learning for predictions, unsupervised learning for pattern discovery, and reinforcement learning for decision optimization with practical Python examples.
Read more →GraphQL for AI Services: Flexible Querying for LLM Applications
GraphQL provides flexible querying for LLM applications. After implementing GraphQL for 15+ AI services, I’ve learned what works. Here’s the complete guide to using GraphQL for AI services. Figure 1: GraphQL Architecture for AI Services Why GraphQL for AI Services GraphQL offers significant advantages for AI services: Flexible queries: Clients request exactly what they need […]
Read more →LLM Routing and Load Balancing: Optimizing Cost and Performance Across Model Fleets
Introduction: LLM routing and load balancing are critical for building cost-effective, reliable AI systems at scale. Not every query needs GPT-4—many can be handled by smaller, faster, cheaper models with equivalent quality. Intelligent routing analyzes incoming requests and directs them to the most appropriate model based on complexity, cost constraints, latency requirements, and current system […]
Read more →Azure Event Hubs: A Solutions Architect’s Guide to Real-Time Data Streaming
Real-time data streaming has become essential for modern enterprises that need to process millions of events per second while maintaining low latency and high reliability. Azure Event Hubs stands as Microsoft’s fully managed, big data streaming platform, designed to handle massive throughput scenarios that traditional messaging systems simply cannot address. Having architected numerous streaming solutions […]
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