Real-world enterprise ML implementations in healthcare diagnostics and financial fraud detection. Explore RAG and LLM integration patterns, ML maturity frameworks, and strategic recommendations for building ML-enabled organizations.
Read more →Author: Nithin Mohan TK
Azure Container Apps: A Solutions Architect’s Guide to Serverless Containers
The evolution of container orchestration has reached an inflection point where the complexity of managing Kubernetes clusters often overshadows the benefits of containerization itself. Azure Container Apps represents Microsoft’s answer to this challenge, providing a serverless container platform that abstracts away infrastructure management while retaining the flexibility that modern cloud-native applications demand. Having architected numerous […]
Read more →Microsoft Power Platform: A Solutions Architect’s Guide to Low-Code Enterprise Development
The democratization of software development has been one of the most significant shifts in enterprise technology over the past decade. Microsoft Power Platform represents the culmination of this movement—a suite of low-code tools that enables organizations to build applications, automate workflows, analyze data, and create intelligent agents without traditional programming expertise. After years of implementing […]
Read more →Mastering Google Cloud Platform: A Complete Architecture Guide for Enterprise Developers
Introduction: Google Cloud Platform has emerged as a formidable player in the enterprise cloud landscape, offering a unique combination of cutting-edge infrastructure, data analytics capabilities, and machine learning services that distinguish it from AWS and Azure. This comprehensive guide explores GCP’s core architecture patterns, enterprise design principles, and production-ready implementations using Terraform and Python. After […]
Read more →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.
Read more →Azure Logic Apps: A Solutions Architect’s Guide to Enterprise Workflow Automation
After two decades of building enterprise integration solutions, I’ve watched workflow automation evolve from complex BizTalk orchestrations to elegant cloud-native services. Azure Logic Apps represents Microsoft’s vision for democratizing integration—enabling both citizen developers and seasoned architects to build sophisticated workflows without drowning in infrastructure concerns. This guide explores how to leverage Logic Apps effectively in […]
Read more →