The first time I watched a security vulnerability slip through our CI/CD pipeline and make it to production, I felt the same sinking feeling every engineer knows: that moment when you realize the system you trusted has a blind spot. It was 2019, and we had what we thought was a mature DevOps practice. Automated […]
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Azure Container Apps: A Solutions Architect’s Guide to Serverless Containers
Azure Container Apps represents Microsoft’s serverless container platform, offering Kubernetes-like capabilities without cluster management complexity, powered by KEDA auto-scaling and native Dapr integration. Container Apps Architecture Platform Comparison Key Features Feature Description Use Case Revisions Immutable snapshots of app version Blue-green, canary deployments Traffic Splitting Route % traffic to different revisions A/B testing, gradual rollouts […]
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 →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 →Azure Machine Learning: A Solutions Architect’s Guide to Enterprise MLOps
The journey from experimental machine learning models to production-ready AI systems represents one of the most challenging transitions in modern software engineering. Having spent over two decades architecting enterprise solutions, I’ve witnessed the evolution from manual model deployment to sophisticated MLOps platforms. Azure Machine Learning stands at the forefront of this transformation, offering a comprehensive […]
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