Introduction: Observability is essential for production LLM applications—you need visibility into latency, token usage, costs, error rates, and output quality. Unlike traditional applications where you can rely on status codes and response times, LLM applications require tracking prompt versions, model behavior, and semantic quality metrics. This guide covers practical observability: distributed tracing for multi-step LLM […]
Read more →Search Results for: events
The Intersection of Data Analytics and IoT: Real-Time Decision Making
The Data Deluge at the Edge After two decades of building data systems, I’ve watched the IoT revolution transform from a buzzword into the backbone of modern enterprise operations. The convergence of connected devices and real-time analytics has created opportunities that seemed impossible just a few years ago. But it has also introduced architectural challenges […]
Read more →GPU Resource Management in Cloud: Optimizing AI Workloads
GPU resource management is critical for cost-effective AI workloads. After managing GPU resources for 40+ AI projects, I’ve learned what works. Here’s the complete guide to optimizing GPU resources in the cloud. Figure 1: GPU Resource Management Architecture Why GPU Resource Management Matters GPU resources are expensive and limited: Cost: GPUs are the most expensive […]
Read more →Microservices Architecture Patterns for Enterprise Applications
Microservices Architecture Overview Core Design Patterns 1. Database per Service Pattern 2. API Gateway Pattern 3. Saga Pattern (Distributed Transactions) Communication Patterns Resilience Patterns Observability Patterns Common Anti-Patterns to Avoid Migration Strategy: Monolith to Microservices Conclusion
Read more →AWS Security and Compliance: KMS, WAF, Shield, and GuardDuty (Part 5 of 6)
Security is a shared responsibility in AWS. This guide covers AWS security services including IAM deep dive, KMS encryption, WAF, Shield, and security monitoring—with production-ready configurations. 📚 AWS FUNDAMENTALS SERIES This is Part 5 of a 6-part series covering AWS Cloud Platform. Part 1: Fundamentals Part 2: Compute Services Part 3: Storage & Databases Part […]
Read more →Hallucinations in Generative AI: Understanding, Challenges, and Solutions
The Reality Check We All Need The first time I encountered a hallucination in a production AI system, it cost my client three days of debugging and a significant amount of trust. A customer-facing chatbot had confidently provided detailed instructions for a product feature that simply did not exist. The response was articulate, well-structured, and […]
Read more →