AWS offers a comprehensive range of compute services from virtual machines to serverless functions. This guide covers EC2, Lambda, ECS, EKS, and Fargate with practical deployment examples using AWS CDK, CloudFormation, and Terraform. 📚 AWS FUNDAMENTALS SERIES This is Part 2 of a 6-part series covering AWS Cloud Platform for developers. Part 1: Fundamentals – […]
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AWS Cloud Platform Fundamentals: Account Structure, IAM, and Global Infrastructure (Part 1 of 6)
Amazon Web Services (AWS) is the world’s most comprehensive and widely adopted cloud platform, offering over 200 fully featured services from data centers globally. This foundational guide covers the essential concepts every developer and architect needs to master before building on AWS. 📚 AWS FUNDAMENTALS SERIES This is Part 1 of a 6-part series covering […]
Read more →Scaling Up Your Pods: How Horizontal Pod Autoscaling Wins
After two decades of managing containerized workloads across production environments, I’ve come to appreciate that the difference between a good Kubernetes deployment and a great one often comes down to how intelligently it responds to changing demand. Horizontal Pod Autoscaling (HPA) represents one of those fundamental capabilities that separates reactive operations from proactive infrastructure management. […]
Read more →Multi-Model Orchestration: Routing, Parallel Execution, and Specialized Pipelines
Introduction: Production LLM applications often benefit from using multiple models—routing simple queries to cheaper models, using specialized models for specific tasks, and falling back to alternatives when primary models fail. Multi-model orchestration enables cost optimization, improved reliability, and access to each model’s unique strengths. This guide covers practical orchestration patterns: model routing based on query […]
Read more →Building AI Chatbots with Memory: From Stateless to Intelligent Assistants
Introduction: Chatbots without memory feel robotic—they forget your name, repeat questions, and lose context mid-conversation. Production chatbots need sophisticated memory systems: short-term memory for the current conversation, long-term memory for user preferences and history, and summary memory to compress long interactions. This guide covers implementing these memory patterns: conversation buffers, vector-based retrieval, automatic summarization, and […]
Read more →What Is GPT-3.5 or GPT-4 or GPT-4 Turbo? Everything You Should Know
A comprehensive guide to OpenAI’s GPT model family. Understand the differences between GPT-3.5, GPT-4, and GPT-4 Turbo, including pricing, features, context windows, and practical implementation advice for developers.
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