Azure (App Service, SQL, Storage, VM, DevOps)
Delivering secure, scalable, and automated .NET deployments on Azure using App Service, SQL, Storage, Virtual Machines, and DevOps pipelines.
I design and deploy .NET and cloud-native applications on Microsoft Azure using a combination of PaaS (App Service, SQL, Storage) and IaaS (Virtual Machines) services.
My goal is to create cloud environments that are reliable, observable, and secure by design, with full automation and monitoring built into every stage of delivery.
Why Azure
Azure provides an enterprise-grade ecosystem for hosting everything from microservices to monoliths, with seamless .NET integration, advanced DevOps tooling, and global scalability.
Whether deploying to App Service for managed simplicity or Virtual Machines for full control, I architect and automate infrastructure for performance and resilience.
Core Areas of Expertise
- Azure App Service — Hosting Web APIs, MVC apps, and SPAs with deployment slots, custom domains, and managed identities.
- Azure Virtual Machines (VMs) — Provisioning and managing Windows or Linux VMs for workloads requiring custom configurations or legacy hosting.
- Azure SQL Database — Designing high-performance, secure databases with elastic pools and geo-redundant backups.
- Azure Blob Storage — Managing file uploads, static assets, and backups with SAS tokens and role-based access.
- Azure Key Vault — Centralized secrets and certificate management.
- Azure DevOps & GitHub Actions — CI/CD pipelines for build, test, and deploy automation.
- Application Insights & Log Analytics — Monitoring performance, telemetry, and diagnostics.
- Networking & Security — Virtual Networks, firewalls, and identity-based access to ensure defense in depth.
Cloud Architecture Patterns
- Layered Environments: Dev, Staging, and Production with strict separation and automation.
- Hybrid Hosting: Combine App Service (PaaS) for web apps and VMs (IaaS) for specialized workloads or background services.
- Infrastructure as Code: ARM templates / Bicep for consistent provisioning.
- Scaling Strategies: Horizontal and vertical scaling with autoscale rules.
- Zero-Downtime Deployments: Deployment slots and validated swaps.
- Logging & Monitoring: Unified observability with App Insights, Log Analytics, and VM Diagnostics.
DevOps Workflow
- Source Control: GitHub / Azure Repos with branch policies.
- Build Pipeline: Restore, build, test, analyze, and publish artifacts.
- Release Pipeline: Automated deploys to App Service or VM via Web Deploy / Azure CLI.
- Infrastructure Setup: Provision environments using Bicep or Terraform.
- Monitoring: Real-time dashboards and alerts using Application Insights.
- Rollback Strategy: Deployment slot swap or previous VM snapshot restore.
Design Philosophy
- Automation over repetition: Every deployment should be scriptable.
- Security by default: Managed identities, private endpoints, and secret isolation.
- Resilience matters: Geo-redundancy and automated recovery built into every solution.
- Observability first: Full visibility into logs, metrics, and telemetry across environments.
I help teams transition smoothly from on-prem or legacy setups to Azure-native or hybrid architectures.
Whether hosting on App Service for simplicity or Azure Virtual Machines for full control, my approach ensures every deployment is secure, automated, and production-ready.
See It in Action:
Tech Stack: Azure App Service · Azure SQL · Blob Storage · Virtual Machines · Key Vault · Azure DevOps · GitHub Actions · App Insights