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DevOps Real-Time Projects: 10 Projects to Build Your Cloud Career (2026)

10 real-time DevOps projects for your portfolio — AWS, Azure, Kubernetes, Terraform, GitOps, monitoring, security, AI-Ops.

Last updated · 2 min read · 403 words

Real projects on GitHub matter more than any certification. This article gives you 10 concrete DevOps real-time projects you can build to showcase in Hyderabad interviews — each with a specific skill signal.

Why Projects Beat Certifications

In DevOps interviews, hiring managers ask about real incidents, real pipelines, real infrastructure choices. A GitHub portfolio with 3–5 substantive projects will beat 3 certifications in a technical loop. Aim for depth over breadth.

Project 1 — AWS Infrastructure Automation with Terraform

Complete VPC + EKS + RDS + ALB deployed via Terraform. Include modules, remote state (S3 + DynamoDB), workspaces for dev/staging/prod.

Project 2 — Azure Infrastructure Automation

Hub-spoke VNet + AKS + Azure SQL + Application Gateway via Terraform. Multi-environment with Azure DevOps integration.

Project 3 — Kubernetes Multi-Service Deployment

3-tier app with Helm chart, ArgoCD sync, Ingress with cert-manager, Horizontal Pod Autoscaler.

Project 4 — Complete CI/CD Pipeline

GitHub → GitHub Actions → build/test/scan → push to ECR → deploy to EKS. Include secrets management via GitHub Environments.

Project 5 — Multi-Cloud Terraform Module

Same application deployed to AWS + Azure using a shared Terraform module with cloud-specific variables.

Project 6 — Observability Stack

Prometheus + Grafana + Alertmanager on Kubernetes. Include exemplars, custom dashboards, PagerDuty integration.

Project 7 — GitOps with ArgoCD + Kustomize

Multi-environment (dev/staging/prod) deployments with Kustomize overlays and ArgoCD applications.

Project 8 — Cloud Security Baseline

AWS Security Hub or Azure Defender for Cloud with custom guardrails via Terraform. IAM baseline, S3 bucket policies, GuardDuty findings routing.

Project 9 — AI-Powered Monitoring

Log anomaly detection + LLM-based incident summarization. Combines GenAI with DevOps observability.

Project 10 — Production Troubleshooting Playbook

Document 5 realistic production incidents you diagnosed and fixed. STAR format. This is your interview gold.

🚀 Ready to Build Real-World DevOps Skills?

Cloud Soft Solutions offers hands-on training in DevOps, AWS, Azure, Kubernetes, Terraform, AI/GenAI and Cyber Security — with real-time projects and Ameerpet classroom + live online.

📍 513, Nilagiri Block, Adithya Enclave, Ameerpet, Hyderabad · 📞 +91-9666019191 · 🌐 cloudsoftsol.com

❓ Frequently Asked Questions

How many projects should I have on GitHub?

3–5 substantive projects beat 15 shallow ones.

Should I write blog posts about the projects?

Yes — hiring managers read technical blogs.

Can I use these for interviews?

Yes — bring them to STAR-format answers.

Do projects need to be original?

Adaptations are fine; add your own twist and document decisions.

About Cloud Soft Solutions

Hyderabad-based technology training in DevOps, Kubernetes, Terraform, AWS, Azure, Multi-Cloud, AI, GenAI, Agentic AI, ML, Python and Cyber Security. Classroom (Ameerpet) + live online. Real-time projects and interview preparation.

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