Electronic prescribing (ePrescribing) is transforming medication management across Europe and Ireland, replacing error-prone paper prescriptions with secure digital workflows. This comprehensive guide covers the regulatory landscape, FHIR-based implementation patterns, and practical code examples for building compliant ePrescribing systems. 🏥 HEALTHCARE INTEROPERABILITY SERIES This article is part of a comprehensive series on healthcare data standards. HL7 […]
Read more →Month: May 2025
Azure Backup: A Solutions Architect’s Guide to Enterprise Data Protection
In the world of enterprise IT, data is the lifeblood of business operations. After two decades of architecting solutions across industries, I’ve witnessed firsthand how a robust backup strategy can mean the difference between business continuity and catastrophic data loss. Azure Backup has evolved into a comprehensive data protection platform that addresses the complex requirements […]
Read more →Fine-Tuning LLMs: From Data Preparation to Production Deployment
Introduction: Fine-tuning transforms a general-purpose LLM into a specialized model tailored to your domain, style, or task. While prompt engineering can get you far, fine-tuning offers consistent behavior, reduced token usage, and capabilities that prompting alone cannot achieve. This guide covers the complete fine-tuning workflow—from data preparation to deployment—using both cloud APIs (OpenAI, Together AI) […]
Read more →Diving Deeper into Docker: Exploring Dockerfiles, Commands, and OCI Specifications
Docker is a popular platform for developing, packaging, and deploying applications. In the previous blog, we provided an introduction to Docker and containers, including their benefits and architecture. In this article, we’ll dive deeper into Docker, exploring Dockerfiles, Docker commands, and OCI specifications. Dockerfiles Dockerfiles are text files that contain instructions for building Docker images. […]
Read more →Multi-Agent Systems and Orchestration – Part 3 of 5
Master multi-agent systems with ADK: coordinator-worker, pipeline, and hierarchical patterns. Build a production research assistant that coordinates 6 specialized agents for comprehensive analysis.
Read more →Inference Optimization Patterns: Maximizing LLM Throughput and Efficiency
Introduction: LLM inference is expensive—both in compute and latency. Every token generated requires a forward pass through billions of parameters, and users expect responses in seconds, not minutes. Inference optimization techniques reduce costs and improve responsiveness without sacrificing output quality. This guide covers practical optimization strategies: batching requests to maximize GPU utilization, managing KV caches […]
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