I am an Azure-focused Cloud Engineer with a software engineering background and hands-on experience building cloud labs that solve real infrastructure problems.
My projects focus on Microsoft Azure, cloud cost visibility, monitoring, alerting, networking, Linux operations, CI/CD, troubleshooting, and technical documentation.
I am building a portfolio of Azure cloud engineering labs that demonstrate how cloud engineers support business goals: reducing cloud waste, improving system visibility, documenting repeatable processes, and troubleshooting cloud environments.
youtube subscribers youtube views followers total stars
| Project | Skills Demonstrated | Business Problem Solved |
|---|---|---|
| Azure Cost Visibility Dashboard | Azure Cost Management, Budgets, Alerts, Logic Apps, Workbooks, Tags | Helps teams monitor cloud spend, detect cost spikes, and improve budget visibility |
| Datacenter Monitoring Lab | Linux, Prometheus, Grafana, PostgreSQL, Alerts, Backups | Demonstrates infrastructure monitoring, alerting, and cloud operations skills |
| Azure Monitoring & Incident Response Lab | Azure Monitor, Log Analytics, Action Groups, Alert Rules, Runbooks | Helps teams detect performance issues and respond to incidents faster |
| Azure Networking Lab | Azure Virtual Networks, Subnets, NSGs, Public/Private IPs, DNS, SSH | Shows how cloud engineers troubleshoot network connectivity and access issues |
| Azure App Deployment Lab | Azure App Service, GitHub Actions, App Settings, Deployment Logs | Demonstrates cloud application deployment and troubleshooting |
- Building Azure cloud engineering labs for cost optimization, monitoring, networking, and deployment
- Documenting real-world cloud troubleshooting workflows
- Practicing Azure Monitor, Log Analytics, Workbooks, Budgets, Alerts, and Logic Apps
- Strengthening Linux, networking, automation, and cloud operations skills
- Creating portfolio projects that show how cloud engineers support real business environments
Microsoft Azure:
Cost Management, Budgets, Azure Monitor, Log Analytics, Workbooks, Alerts, Action Groups, Logic Apps, Resource Groups, Tags, App Service, Virtual Networks, Network Security Groups
Cloud Operations:
Monitoring, incident response, troubleshooting, cost optimization, technical documentation, runbooks, resource organization, operational support
Networking:
TCP/IP, DNS, subnets, public/private IPs, SSH, connectivity testing, firewall rules, network access troubleshooting
Linux & Scripting:
Ubuntu, Bash, system logs, service management, command-line troubleshooting, shell scripting, automation basics
DevOps Tools:
Git, GitHub, GitHub Actions, CI/CD, Markdown documentation, deployment logs
Software Engineering Background:
JavaScript, TypeScript, React, Node.js, Python, REST APIs, frontend development, application troubleshooting
A Microsoft Azure cost optimization lab designed to help teams understand and control cloud spending.
What this project demonstrates:
- Azure Cost Management setup
- Budget configuration
- Cost alert thresholds
- Logic App email notifications
- Azure Workbook dashboard planning
- Resource tagging strategy
- Cloud cost investigation runbook
- Beginner-friendly architecture documentation
Business problem solved:
Cloud teams need better visibility into cost trends, budget usage, and unexpected spending increases before they become expensive problems.
Repository: azure-cost-visibility-dashboard
A cloud operations and infrastructure monitoring lab using Linux, Prometheus, Grafana, PostgreSQL, alerting, backups, and troubleshooting documentation.
What this project demonstrates:
- Linux server monitoring
- Prometheus metrics collection
- Grafana dashboards
- PostgreSQL service monitoring
- Backup automation
- Alerting concepts
- Troubleshooting documentation
Business problem solved:
Operations teams need visibility into server health, resource usage, application availability, and backup status.
Repository: datacenter-monitoring-lab
I approach cloud engineering from the perspective of solving real operational problems:
- How do we know when something is broken?
- How do we reduce wasted cloud spend?
- How do we document a repeatable fix?
- How do we make systems easier to monitor and support?
- How do we explain cloud architecture clearly to technical and non-technical teams?
My goal is to build projects that show practical cloud engineering skills, not just theory.
Before focusing on cloud engineering, I worked as a software engineer building and supporting web and mobile applications. That background helps me understand how applications are developed, deployed, monitored, and supported in real environments.
My software engineering experience gives me a strong foundation in:
- Application troubleshooting
- Debugging production issues
- Working with APIs
- Reading logs and error reports
- Using Git and CI/CD workflows
- Collaborating with technical teams
- Writing clear technical documentation
I now apply those skills to Microsoft Azure, cloud operations, monitoring, infrastructure support, and cost optimization.
I am currently focused on roles such as:
- Junior Cloud Engineer
- Azure Cloud Engineer
- Cloud Operations Engineer
- Cloud Support Engineer
- Infrastructure Support Engineer
- Technical Support Engineer with cloud responsibilities
I am especially interested in roles that involve Azure, monitoring, troubleshooting, networking, Linux, automation, and cost optimization.
- Portfolio: kevintownson.vercel.app
- GitHub: github.com/ktown5422
- LinkedIn: linkedin.com/in/kevin-townson
- YouTube: @TechManKev