The EU Cross-Border Healthcare Challenge EU eHealth Digital Service Infrastructure (eHDSI) IPS FHIR Bundle Structure Generating IPS in .NET Ireland’s Participation in eHDSI EU Member State Participation Standards and References Related Articles in This Series Conclusion
Read more →Month: April 2025
Cloud Spanner Deep Dive: Building Globally Distributed Databases That Never Go Down
Introduction: Cloud Spanner represents a breakthrough in database technology—the world’s first horizontally scalable, strongly consistent relational database that spans continents while maintaining ACID transactions. This comprehensive guide explores Spanner’s enterprise capabilities, from its TrueTime-based consistency model to multi-region configurations and automatic sharding. After architecting globally distributed systems across multiple database technologies, I’ve found Spanner uniquely […]
Read more →Azure Key Vault: A Solutions Architect’s Guide to Enterprise Secrets Management
In the world of cloud-native applications, secrets management has evolved from a necessary evil to a critical architectural concern. Azure Key Vault stands as Microsoft’s answer to centralized secrets, keys, and certificate management, providing a secure foundation for enterprise applications. Having implemented Key Vault across dozens of production environments, I’ve come to appreciate its role […]
Read more →AKS Workload Identity
AKS workload identity is a feature of Azure Kubernetes Service (AKS) that enables you to use Azure Active Directory (AAD) to manage access to Azure resources from within a Kubernetes cluster. In this blog post, we’ll explore how AKS workload identity works and how to use it with an example code. How does AKS workload […]
Read more →RESTful AI API Design: Best Practices for LLM APIs
Designing RESTful APIs for LLMs requires careful consideration. After building 30+ LLM APIs, I’ve learned what works. Here’s the complete guide to RESTful AI API design. Figure 1: RESTful AI API Architecture Why LLM APIs Are Different LLM APIs have unique requirements: Async operations: LLM inference can take seconds or minutes Streaming responses: Need to […]
Read more →Function Calling Deep Dive: Building LLM-Powered Tools and Agents
Introduction: Function calling transforms LLMs from text generators into action-taking agents. Instead of just describing what to do, the model can actually do it—query databases, call APIs, execute code, and interact with external systems. OpenAI’s function calling (now called “tools”) and similar features from Anthropic and others let you define available functions, and the model […]
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