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Hey Everyone! Today I have curated a massive list of 20+ DevOps & Cloud projects for beginners, complete with open-source code on GitHub. Whether you are aiming to become a Cloud Engineer, Site Reliability Engineer (SRE), or DevOps specialist, mastering AWS, Azure, Docker, and Kubernetes is non-negotiable in 2026.
If you want to master DevOps, you cannot just read documentation—you have to provision real infrastructure, write deployment pipelines, and configure servers. You can check out my GitHub for more curated lists and architectures. If you want to contribute to this list, feel free to open a Pull Request!
Without any further ado, let’s start building! 🚀
The Top 20+ DevOps & Cloud Projects with source code are –
1. Containerize a Static Website (Docker)
Containerization is the foundation of modern DevOps. By taking a simple HTML/CSS website, writing a `Dockerfile` using an Nginx base image, and building the container, you will learn the absolute basics of Docker. You will master building images, mapping ports, and running containers seamlessly across any environment.
2. Automated CI/CD Pipeline (GitHub Actions)
A Continuous Integration / Continuous Deployment (CI/CD) pipeline is crucial for modern development. In this project, you will write a GitHub Actions YAML workflow that automatically installs dependencies, runs tests, and builds a Node.js or Python application every time code is pushed to the `main` branch. It teaches you how to automate code validation before merging.
3. Deploy a Serverless API (AWS Lambda or Azure Functions)
Serverless computing eliminates infrastructure management. By deploying a simple Python or Node.js API using AWS Lambda (via the Serverless Framework) or Azure Functions, you will learn how to build event-driven applications that scale automatically to zero or millions of requests, while only paying for exact execution time.
4. Infrastructure as Code (Terraform)
Clicking through cloud consoles is not scalable. Infrastructure as Code (IaC) is the industry standard. In this project, you will use HashiCorp Terraform to write declarative configuration files (`.tf`) that automatically provision an AWS VPC, Subnets, and an EC2 instance (or an Azure VNet and VM). It teaches you state management and reproducible infrastructure.
5. Monitoring Dashboard (Prometheus & Grafana)
Visibility into system performance is critical for DevOps. Using Docker Compose, you will spin up a Prometheus instance to scrape metrics from a sample application (like Node Exporter or a basic API) and a Grafana instance to visualize those metrics on beautiful, real-time dashboards. This is a core observability skill.
6. Deploy a Web App with Azure App Service
Platform as a Service (PaaS) simplifies deployment. This project involves deploying a full-stack application (like a React frontend or Python backend) directly to Azure App Service using the Azure CLI or GitHub Actions. You will learn how to manage environment variables, configure custom domains, and set up continuous deployment hooks.
7. Host a Static Site on AWS S3 & CloudFront
Hosting a static React, Next.js, or plain HTML site on an AWS S3 bucket and distributing it globally via the CloudFront Content Delivery Network (CDN) is an extremely cost-effective and performant architecture. You will learn about bucket policies, SSL/TLS certificates via AWS ACM, and CDN caching.
8. Multi-Container App with Docker Compose
Real-world applications rarely exist as a single container. You will create a `docker-compose.yml` file to orchestrate a multi-tier application—for example, a Node.js backend, a PostgreSQL database, and a Redis cache. This project teaches you Docker networking, volume mounting for persistent data, and dependency management between containers.
9. Log Management (ELK Stack)
Troubleshooting distributed systems requires centralized logging. You will deploy the ELK stack (Elasticsearch, Logstash, Kibana) using Docker Compose and configure a sample application to ship its logs into the stack. You will learn how to parse unstructured text into searchable JSON and build visualization dashboards in Kibana.
10. Secrets Management (HashiCorp Vault or AWS Secrets Manager)
Hardcoding API keys in source code is a massive security risk. In this project, you will set up HashiCorp Vault (or use AWS Secrets Manager / Azure Key Vault) to store, manage, and inject secrets dynamically into your application at runtime. It introduces you to dynamic secrets, encryption as a service, and strict IAM policies.
11. Blue-Green Deployment Pipeline
Zero-downtime deployments are essential for enterprise applications. You will set up a Blue-Green deployment strategy where traffic is intelligently routed from an old version (Blue) to a new version (Green) using a load balancer (like AWS ALB or Azure Traffic Manager). This teaches you advanced routing and safe rollback strategies.
12. Kubernetes Local Cluster (Minikube / kind)
Kubernetes is the orchestrator of choice for modern cloud-native apps. You will use `minikube` or `kind` to spin up a local K8s cluster, write YAML manifests for Deployments, Services, and Ingress, and deploy a containerized application. It bridges the gap between basic Docker knowledge and enterprise-grade orchestration.
13. Automated Database Backups via Cron & S3
Data loss is catastrophic. You will write a simple Bash or Python script that dumps a PostgreSQL or MySQL database, compresses the file, and securely uploads it to an AWS S3 bucket (or Azure Blob Storage). By scheduling this script with `cron` or a Kubernetes CronJob, you automate disaster recovery protocols.
14. Build a Cost Optimization Alert (AWS Cost Explorer)
Cloud resources can get expensive quickly if left unmonitored. You will use AWS CloudWatch and AWS Lambda to monitor your account’s daily spending. If the cost exceeds a specific threshold, the Lambda function will trigger and send an automated alert to a Slack channel or email. This is a highly valued FinOps skill.
15. GitOps with ArgoCD
GitOps is the modern way to deploy to Kubernetes. You will install ArgoCD on a cluster and configure it to monitor a GitHub repository containing your Kubernetes manifests. When you push a change to GitHub, ArgoCD automatically syncs and applies those changes to the cluster, ensuring the Git repo remains the single source of truth.
16. ChatOps Bot for Deployments
ChatOps integrates operations directly into team communication platforms. You will build a Slack or Microsoft Teams bot (using Python or Node.js) that can trigger a GitHub Actions pipeline or fetch the status of an AWS EC2 instance when a user types a specific command like `/deploy prod`. It brings visibility and collaboration to DevOps.
17. Server Configuration Management (Ansible)
While Terraform provisions infrastructure, Configuration Management tools like Ansible install and configure software on those servers. You will write an Ansible Playbook that connects to a raw Linux server via SSH, installs Nginx, configures a firewall (UFW), and deploys a web application entirely automatically.
18. Implement an API Gateway (Kong or API Management)
Microservices require a central entry point. You will deploy Kong API Gateway (or use Azure API Management) in front of multiple backend services. You will learn how to configure routing rules, implement global rate-limiting to prevent abuse, and secure endpoints with API keys or JWT authentication.
19. High Availability Architecture (AWS Auto Scaling)
Applications must handle sudden traffic spikes gracefully. Using Terraform or AWS CloudFormation, you will provision an Application Load Balancer (ALB) attached to an Auto Scaling Group (ASG). You will define policies that automatically launch new EC2 instances when CPU utilization exceeds 70%, teaching you true elastic scalability.
20. Container Security Scanning (Trivy)
DevSecOps is a critical discipline. You will integrate a vulnerability scanner like Trivy into a GitHub Actions pipeline. Every time a new Docker image is built, Trivy will scan the layers for known CVEs (Common Vulnerabilities and Exposures) and fail the build if critical vulnerabilities are found, ensuring only secure code reaches production.
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Conclusion
This is the ultimate list of Updated 20+ DevOps & Cloud Projects to build your engineering portfolio. Whether you want to master AWS, configure Azure resources via Terraform, or write complex GitHub Actions CI/CD pipelines, executing these projects will give you the hands-on experience that hiring managers are actively looking for. If you want to dive deeper, grab a project, read the source code on GitHub, and start automating!
If you found this list helpful, feel free to share it or open a Pull Request to add your own project to my repository.