High Impact AI-Driven Portfolio Projects for DevOps

Hi Tech Explorers,

If you're looking to break into Cloud DevOps, it's time to be strategic with your projects.

Basic CI/CD or Kubernetes demos won’t cut it anymore. You need to align your work with real-world challenges companies are facing—such as:

• Training AI models on optimized infrastructure (compute, storage, networking etc)

• Automating repetitive tasks across environments

• Reducing and managing cloud resource costs effectively and many such examples

Start focusing on projects that solve these pain points

Here are few projects that you can look into..

1. Automate Dockerfile Generation for any project using Local LLMs
 ↳ Utilize locally hosted Large Language Models to automatically create Dockerfiles based on project specifics.
↳ Tools used: Ollama, Python, LLMs, Google AI Studio

What you'll learn: Learn to automate container image creation, a fundamental aspect of the CI/CD pipeline.

YouTube Tutorial: https://www.youtube.com/watch?v=Yr8si-1sTKw

2. AIOps for Log Analysis using Isolation Forest
 ↳ Employ the Isolation Forest algorithm for anomaly detection in log data.
↳ Tools/Libraries used: Pandas, Collections, Regex, Isolation Forest Algorithm

What you'll learn: Understand how to implement AI-driven monitoring and anomaly detection for improved system reliability

YouTube Tutorial: https://www.youtube.com/watch?v=-eOncnzG9tc

3. Create your First AI Agent for Kubernetes using Crew AI
 ↳ Guide users in building an AI agent with Crew AI to interact with and manage Kubernetes clusters.
↳ Explore automation of Kubernetes tasks and improved cluster management.
↳ Tools used: Python, Crew AI, K8s, K8s Client Libraries, OpenAI (LLM)

What you'll learn: Explore the automation of Kubernetes cluster management using intelligent agents.

YouTube Tutorial: https://www.youtube.com/watch?v=fLWP5d-1jiM

4. Automate Application Delivery with CI/CD & GitOps
↳ Provision infrastructure with Terraform.
↳ Implement CI/CD using Jenkins, Docker, and Kubernetes.
↳ Deploy applications with Argo CD for GitOps.
↳ Comprehensive monitoring with Prometheus/Grafana
**Don't just highlight containers or tools. Show the full application lifecycle.

YouTube Tutorial: https://www.youtube.com/watch?v=JGQI5pkK82w

5. Securely Deploy and Expose Applications on Kubernetes
↳ Deploy applications onto Kubernetes.
↳ Expose applications using ALB Ingress.
↳ Enforce security policies with Kyverno.

** Don't just deploy security policies. Show the full security implementation strategies

YouTube Tutorial: https://www.youtube.com/watch?v=5ihkMblumD0

6. Optimize Cloud Costs with Serverless Automation
↳ Analyze cloud resource usage
↳ Implement serverless functions for automated cost optimization.
↳ Design and deploy event-driven cost management strategies.

YouTube Tutorial: https://www.youtube.com/watch?v=OKYJCHHSWb4

The projects are listed by difficulty (easiest to hardest) and are all available for free on YouTube — big thanks to Abhishek Veeramalla for curating the amazing videos and step-by-step guides!

In summary – focus your energy on solving intricate, high-impact operational challenges using modern Cloud and DevOps tools. Build with purpose, not just for the resume.

🚀 Time to level up!