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Cloud Projects

🚀 Deploying Flask App on Azure VM

From a blank VM to a running Flask app — this project walks through every hands-on step of building a real developer environment in the cloud.

  • 🔹 Created Azure VM & opened RDP via NSG
  • 🔹 Installed IIS & verified browser over RDP
  • 🔹 Opened port 8080 for HTTP traffic
  • 🔹 Installed Python & Flask
  • 🔹 Launched app & accessed it at 127.0.0.1:5000

Cloud hands-on: Flask app live on Windows Azure VM. 🐍

Next step: Expose the app securely to the internet via Azure networking tools.

#Azure #Flask #Python #CloudEngineer #Portfolio

🐳 Kubernetes: NGINX Deployment on Minikube

Manually deployed an NGINX pod to a local Minikube cluster. Exposed the service using NodePort and verified browser access. Tools used: kubectl, Minikube, NodePort.

  • ✅ Started Minikube cluster
  • ✅ Created a pod with NGINX
  • ✅ Accessed service externally via NodePort

Cloud hands-on: NGINX running inside a Kubernetes pod. ☁️

Next step: Deploy via Helm and move to Azure AKS.

#Kubernetes #Minikube #NGINX #CloudProjects #DevJourney

Security & Compliance

Ensure robust protection using built-in security tools, encryption and policies that meet GDPR, ISO and other compliance standards.

Cloud Infrastructure

Deploy scalable, secure infrastructure on Azure to support apps, workloads, and seamless integration with modern cloud services.

Monitoring & Optimisation

Track cloud performance, detect issues and apply autoscaling or cost-saving measures for efficient and smooth operations.

Storage Solutions

Design and manage reliable storage systems with backup, redundancy and optimised performance across multiple Azure regions.

CI/CD Automation

Streamline application deployment through CI/CD pipelines with GitHub Actions or Azure DevOps, ensuring faster releases and reduced human error.

Identity & Access

Implement secure identity controls with Azure AD, RBAC and conditional access to protect data and manage cloud user permissions.

Cloud Portfolio

💼 Optimisation Scenarios: Real-World Choices in Azure

🔹 Case: Memory-Optimized VM for In-Memory Analytics

  • ✅ Chose memory-optimised VM (E-series) for in-memory workloads
  • 📊 Improved analytics query speed x3
  • 💸 Saved ~30% monthly vs. general-purpose VM

Task: A client needed faster performance for their real-time reporting tool. We switched to a memory-optimised E-series VM on Azure to support heavy in-memory analytics.

The result: faster dashboard load times, smoother performance, and lower overall cost. This case highlights the impact of choosing the right VM size for specific workloads.

💼 Optimisation Scenarios: Real-World Choices in Azure

🔹 Case: Memory-Optimized VM for In-Memory Analytics

  • ✅ Chose memory-optimised VM (E-series) for in-memory workloads
  • 📊 Improved analytics query speed x3
  • 💸 Saved ~30% monthly vs. general-purpose VM

Task: A client needed faster performance for their real-time reporting tool. We switched to a memory-optimised E-series VM on Azure to support heavy in-memory analytics.

The result: faster dashboard load times, smoother performance, and lower overall cost. This case highlights the impact of choosing the right VM size for specific workloads.

☁️ From Cost to Control: Azure Storage in Action

💠 Case: Secure & Cost-Efficient Azure Storage

  • 🔐 Implemented Azure Storage with Private Endpoints
  • 💸 Reduced egress costs using same-region resources
  • 📉 Minimized data exposure by avoiding public access

Task: A client required secure access to sensitive files without exposing them to the internet. We designed a solution using Azure Storage Accounts with Private Endpoints and Azure RBAC for fine-grained access control.

The result: Full compliance with internal security standards, lower network costs, and confidence that storage traffic stays within the Azure backbone network.