After two decades of deploying and managing containerized workloads across enterprises, I’ve watched Kubernetes evolve from a complex orchestration tool into the de facto standard for container management. Azure Kubernetes Service (AKS) represents Microsoft’s fully managed Kubernetes offering, and having architected dozens of AKS deployments, I can share the patterns and practices that separate successful… Continue reading
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.
Serverless Event Processing with Google Cloud Functions: From HTTP Triggers to Event-Driven Architectures
Introduction: Google Cloud Functions provides a fully managed, event-driven serverless compute platform that scales automatically from zero to millions of invocations. This comprehensive guide explores Cloud Functions’ enterprise capabilities, from HTTP triggers and event-driven architectures to security controls, VPC connectivity, and cost optimization. After building serverless architectures across all major cloud providers, I’ve found Cloud… Continue reading
Designing Enterprise VPC Networks on Google Cloud: From Zero Trust to Global Scale
Introduction: Google Cloud VPC networking provides the foundation for secure, scalable, and globally distributed cloud architectures. This comprehensive guide explores VPC’s enterprise capabilities, from global VPC design and shared VPC architectures to Private Google Access, Cloud NAT, and zero-trust network security. After designing network architectures for enterprises across all major cloud providers, I’ve found GCP’s… Continue reading
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… Continue reading
Infrastructure as Code: A Solutions Architect’s Guide to Terraform and Pulumi
After two decades of managing infrastructure across enterprises of every scale, I’ve witnessed the evolution from manual server provisioning to the declarative, version-controlled approach we now call Infrastructure as Code. The shift isn’t just about automation—it’s about treating infrastructure with the same rigor we apply to application code: version control, code review, testing, and continuous… Continue reading
Anthropic Claude SDK: Building AI Applications with Advanced Reasoning and 200K Context
Introduction: Anthropic’s Claude SDK provides developers with access to one of the most capable and safety-focused AI model families available. Claude models are known for their exceptional reasoning abilities, 200K token context windows, and strong performance on complex tasks. The SDK offers a clean, intuitive API for building applications with tool use, vision capabilities, and… Continue reading
AI Agent Architectures: From ReAct to Multi-Agent Systems
Introduction: AI agents go beyond simple LLM calls by combining reasoning, planning, tool use, and memory to accomplish complex tasks autonomously. Different agent architectures suit different problems: ReAct agents interleave reasoning and action, plan-and-execute agents create upfront plans, and multi-agent systems coordinate specialized agents. This guide covers building robust agent systems: the ReAct pattern for… Continue reading
GitHub Copilot: A Solutions Architect’s Guide to AI-Assisted Development
GitHub Copilot has fundamentally changed how I approach software development. After integrating it into my daily workflow over the past year, I want to share practical insights on maximizing its value while understanding its limitations. As someone who has been writing code for over two decades, I initially approached AI-assisted development with skepticism, but Copilot… Continue reading
Serverless AI Architecture: Building Scalable LLM Applications
Three years ago, I built my first serverless LLM application. It failed spectacularly. Cold starts made responses take 15 seconds. Timeouts killed long-running requests. Costs spiraled out of control. After architecting 30+ serverless AI systems, I’ve learned what works. Here’s the complete guide to building scalable serverless LLM applications. Figure 1: Serverless AI Architecture Overview… Continue reading
Tips and Tricks – Implement Retry Logic for LLM API Calls
Handle rate limits and transient failures gracefully with exponential backoff.