Introduction: Not every query needs GPT-4. Routing simple questions to cheaper, faster models while reserving expensive models for complex tasks can cut costs by 70% or more without sacrificing quality. Smart LLM routing is the difference between a $10,000/month AI bill and a $3,000 one. This guide covers implementing intelligent model selection: classifying query complexity, […]
Read more →Month: December 2024
Designing Enterprise VPC Networks on Google Cloud: From Zero Trust to Global Scale
Enterprise VPC design on Google Cloud requires balancing security, performance, and operational simplicity. This comprehensive guide covers Zero Trust architecture, global network design, VPC Service Controls, and hybrid connectivity patterns that meet the demands of modern enterprise workloads. Zero Trust Network Architecture Zero Trust assumes no implicit trust—every access request must be authenticated and authorized […]
Read more →Cloud VM Showdown: Choosing Between GCP Compute Engine, AWS EC2, and Azure Virtual Machines
Introduction: Choosing the right virtual machine platform is one of the most consequential decisions in cloud architecture, directly impacting performance, cost, and operational complexity for years to come. This comprehensive comparison examines GCP Compute Engine, AWS EC2, and Azure Virtual Machines through the lens of enterprise requirements—evaluating compute options, pricing models, networking capabilities, and operational […]
Read more →Event-Driven Architecture: When and How to Implement
What is Event-Driven Architecture? Event-Driven Architecture Overview When to Use Event-Driven Architecture Event Types & Patterns Implementation: Real-World Example Scenario: E-Commerce Order Processing Producer: Publishing Events Consumer: Processing Events Critical Design Decisions Technology Choices Common Pitfalls & Solutions ⚠️ Top 7 EDA Mistakes 1. Event Coupling: Events that know too much about consumers → Keep […]
Read more →Semantic Caching for LLM Applications: Cut Costs and Latency by 50%
Introduction: LLM API calls are expensive and slow. A single GPT-4 request can cost cents and take seconds—multiply that by thousands of users asking similar questions, and costs spiral quickly. Semantic caching solves this by recognizing that “What’s the weather in NYC?” and “Tell me NYC weather” are essentially the same query. Instead of exact […]
Read more →AI Agent Architectures: From ReAct to Multi-Agent Systems – A Complete Guide
AI agents represent a paradigm shift from simple prompt-response interactions to autonomous systems capable of planning, reasoning, and taking actions. Understanding the architectural patterns that power these agents is essential for building production-grade AI applications. ℹ️ KEY INSIGHT The evolution from chatbots to agents mirrors the transition from procedural to agentic computing – where AI […]
Read more →