After spending two decades building and scaling engineering organizations, I’ve come to a conclusion that might seem counterintuitive: the biggest productivity killer in most enterprises isn’t technical debt, legacy systems, or even organizational politics. It’s cognitive load. Developers spend an unconscionable amount of time navigating infrastructure complexity instead of solving business problems. Platform engineering, done […]
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Mastering AWS EKS Deployment with Terraform: A Comprehensive Guide
Introduction: Amazon Elastic Kubernetes Service (EKS) simplifies the process of deploying, managing, and scaling containerized applications using Kubernetes on AWS. In this guide, we’ll explore how to provision an AWS EKS cluster using Terraform, an Infrastructure as Code (IaC) tool. We’ll cover essential concepts, Terraform configurations, and provide hands-on examples to help you get started […]
Read more →Enterprise Generative AI: A Solutions Architect’s Framework for Production-Ready Systems
After two decades of building enterprise systems, I’ve witnessed numerous technology waves—from SOA to microservices, from on-premises to cloud-native. But nothing has matched the velocity and transformative potential of generative AI. The challenge isn’t whether to adopt it; it’s how to do so without creating technical debt that will haunt your organization for years. The […]
Read more →Understanding Modern IT Methodologies: A Comprehensive Comparison
After two decades of building and operating enterprise systems, I’ve watched the IT operations landscape transform dramatically. What started as siloed development and operations teams has evolved into a rich ecosystem of methodologies, each addressing specific organizational challenges. In this comprehensive guide, I’ll share my perspective on four dominant approaches: DevOps, DevSecOps, Site Reliability Engineering […]
Read more →Cloud-Native Machine Learning: Building Scalable Models for Production
The journey from experimental machine learning models to production-grade systems represents one of the most challenging transitions in modern software engineering. After spending two decades building distributed systems and watching countless ML projects struggle to move beyond proof-of-concept, I’ve developed a deep appreciation for cloud-native approaches that treat machine learning infrastructure with the same rigor […]
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. […]
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