Three years ago, I inherited a distributed system that processed insurance claims across twelve microservices. The orchestration logic lived in a tangled web of message queues, retry handlers, and compensating transactions scattered across multiple codebases. When something failed—and in distributed systems, something always fails—debugging meant correlating logs across a dozen services while the business waited… Continue reading
Tag: AWS
The Serverless Revolution: Why AWS Lambda Changed Everything I Thought I Knew About Building Scalable Systems
There’s a moment in every architect’s career when a technology fundamentally rewrites your mental model of how systems should work. For me, that moment came in 2016 when I deployed my first AWS Lambda function and watched it scale from zero to handling thousands of concurrent requests without a single configuration change. After two decades… Continue reading
Building Enterprise AI Applications with AWS Bedrock: What Two Years of Production Experience Taught Me
When AWS announced Bedrock in 2023, I was skeptical. Another managed AI service promising to simplify generative AI adoption? We had seen this movie before with various cloud providers offering half-baked solutions that worked great in demos but crumbled under production workloads. Two years and dozens of enterprise implementations later, I can confidently say that… Continue reading
The Hidden Tax on Innovation: Why FinOps Is the Most Important Discipline You’re Probably Ignoring
Every organization I’ve worked with over the past two decades has eventually faced the same uncomfortable realization: their cloud bill has become a runaway train. What starts as a modest monthly expense during proof-of-concept phases quietly transforms into a significant line item that catches finance teams off guard. The problem isn’t cloud computing itself—it’s the… Continue reading
The Serverless Revolution: Why AWS Lambda Changed How We Think About Infrastructure
When AWS Lambda launched in 2014, it fundamentally changed how we think about infrastructure. No servers to provision, no capacity to plan, no patches to apply—just code that runs when triggered. After building distributed systems for over two decades, I’ve witnessed many paradigm shifts, but serverless computing represents one of the most significant changes in… Continue reading
MLOps Best Practices: Building Production Machine Learning Pipelines That Scale
Master MLOps practices for production machine learning systems. Learn data versioning, experiment tracking with MLflow, CI/CD for ML, model registry governance, and monitoring strategies for AWS, Azure, and GCP.
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
AWS Bedrock: Building Enterprise Generative AI Applications on AWS
AWS re:Invent 2024 brought significant updates to Amazon Bedrock, and after spending the past month integrating these capabilities into production systems, I want to share what actually matters for enterprise adoption. Having built generative AI applications across multiple cloud platforms over the past two decades, Bedrock represents a meaningful shift in how we can deploy… Continue reading
.NET 9: A Solutions Architect’s Guide to the Modern .NET Ecosystem
After two decades of building enterprise applications on the Microsoft stack, I’ve witnessed every major evolution of .NET—from the original Framework through the tumultuous transition to Core, and now to the unified platform we have today. .NET 9, released in November 2024, represents the maturation of a platform that has finally delivered on the promise… Continue reading
Generative AI Services in AWS
The moment I first deployed a production generative AI application on AWS, I realized we had crossed a threshold that would fundamentally change how enterprises build intelligent systems. After spending two decades architecting solutions across every major cloud platform, I can say with confidence that AWS has assembled the most comprehensive generative AI ecosystem available… Continue reading