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Continue reading →: How to Create and Deploy a Diabetes Prediction Model in Azure
Want to deploy a machine learning model but don’t know where to start? This guide walks you through everything, from creating your Azure workspace to having a live API that predicts diabetes risk. We’ll build an automated ML pipeline that trains a RandomForest classifier on the diabetes dataset, then deploy…
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Continue reading →: Beginner’s Guide to Deploying Machine Learning Models on Microsoft Azure
So you’ve trained a machine learning model and now you want to deploy it so others can use it? This guide will walk you through deploying a scikit-learn model to Azure Machine Learning using the Azure Portal – no complex code required for deployment! By the end of this tutorial,…
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Continue reading →: AWS Cost Visibility Guide for FinOps Success
Cost visibility is the foundation of the FinOps Inform stage, enabling organizations to understand where cloud spending occurs and who’s responsible for it. In this hands-on guide, we’ll build a complete cost visibility solution on AWS by deploying tagged resources with Terraform and creating department-specific dashboards in AWS Cost Explorer.…
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Continue reading →: From Commit to Production: Building My First Multi-Stage CI/CD Pipeline
I pushed to main and watched production go live instantly—no tests, no review, no guardrails. In that moment of panic, I learned the difference between automation… and responsible automation. Overview Think of this like a factory assembly line for code: Key insight: The same container that passes all tests in…
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Continue reading →: Enhance Infrastructure Security with Terraform’s Sentinel Policies
After months of automating application deployments and writing tests for application code, We can have this realization: infrastructure code had zero quality controls. One careless merge to main could create unencrypted storage accounts, expose sensitive data, or rack up unexpected cloud costs. While reviewing an incident where a developer accidentally…
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Continue reading →: How I Built a Bulletproof CI/CD Pipeline (And You Can Too!)
By this point, I had already deployed infrastructure, automated secrets, and secured costs. But one major question remained:“How do I know that what I deploy is reliable and secure every single time?” That’s where test automation and quality gates came in. What We’re Building A simple Flask web application with…
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Continue reading →: Securing Automation: Managing Secrets in DevOps
There’s a moment in every engineer’s life when a secret shows up in a repo and your stomach drops.For me, that was the day I realized automation must be secure by default not an afterthought. Today’s project is about making secrets invisible to humans and auditable to systems. Why This…
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Continue reading →: FinOps Cost Governance at Scale with Azure Policy & Terraform
Learning that cost control isn’t just a finance thing, it’s a DevOps responsibility. Using Terraform and Azure Policy, I automated governance so no resource slips through without a tag. It felt like I was bringing real discipline into the cloud just like CI/CD, but for cost control. What Problem Are…
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Continue reading →: Building a System That Never Goes Down
Picture this! You’ve built a beautiful website. It’s fast, it’s functional, and you’re proud of it. Then one day, the server crashes. Your site goes dark. Users can’t access it. Panic sets in. This happened to me (in a test environment, thankfully), and it taught me something crucial: One server…
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Continue reading →: Azure Storage, Data Lake & FinOps Tracking: A Beginner’s Guide
After achieving high availability with Load Balancing and VM Scale Sets, I realized another layer of DevSecOps maturity visibility.Security and performance mean little if you can’t see where your resources (and costs) are going.That’s where Azure Storage and Data Lake enter the picture not just as a place to store…









