After two decades of architecting data systems across financial services, healthcare, and e-commerce, I’ve witnessed the evolution from batch-only processing to today’s sophisticated real-time architectures. The shift isn’t just about speed—it’s about fundamentally changing how organizations make decisions and respond to events. This article shares battle-tested insights on building production-grade real-time data processing systems in […]
Read more →Category: Emerging Technologies
Emerging technologies include a variety of technologies such as educational technology, information technology, nanotechnology, biotechnology, cognitive science, psychotechnology, robotics, and artificial intelligence.
AWS re:Invent 2023: Amazon Bedrock and Q Transform Enterprise AI with Foundation Models and Intelligent Assistants
Introduction: AWS re:Invent 2023 delivered transformative announcements for enterprise AI adoption, with Amazon Bedrock reaching general availability and Amazon Q emerging as AWS’s answer to AI-powered enterprise assistance. These services represent AWS’s strategic vision for making generative AI accessible, secure, and enterprise-ready. After integrating Bedrock into production workloads, I’ve found its model-agnostic approach and native […]
Read more →Guardrails and Safety for LLMs: Building Secure AI Applications with Input Validation and Output Filtering
Introduction: Production LLM applications need guardrails to ensure safe, appropriate outputs. Without proper safeguards, models can generate harmful content, leak sensitive information, or produce responses that violate business policies. Guardrails provide defense-in-depth: input validation catches problematic requests before they reach the model, output filtering ensures responses meet safety standards, and content moderation prevents harmful generations. […]
Read more →Rate Limiting for LLM APIs: Token Buckets, Queues, and Adaptive Throttling
Introduction: LLM APIs have strict rate limits—requests per minute, tokens per minute, and concurrent request limits. Exceeding these limits results in 429 errors that can cascade through your application. Effective rate limiting on your side prevents hitting API limits, provides fair access across users, and enables graceful degradation under load. This guide covers practical rate […]
Read more →Achieving DevOps Harmony: Building and Deploying .NET Applications with AWS Services
The Evolution of .NET Deployment on AWS After two decades of building enterprise applications, I’ve witnessed the transformation of deployment practices from manual FTP uploads to sophisticated CI/CD pipelines. When AWS introduced their native DevOps toolchain, it fundamentally changed how we approach .NET application delivery. The integration between CodeCommit, CodeBuild, CodePipeline, and ECR creates a […]
Read more →Vector Embeddings Deep Dive: From Theory to Production Search Systems
Introduction: Vector embeddings are the foundation of modern AI applications—from semantic search to RAG systems to recommendation engines. They transform text, images, and other data into dense numerical representations that capture semantic meaning, enabling machines to understand similarity and relationships in ways that traditional keyword matching never could. This guide provides a deep dive into […]
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