Hey folks! I'm making a shift into tech and have been diving into DevOps for the last four months using YouTube and free resources. I'm really eager to build some meaningful, real-world projects that could help me land my first job in DevOps. I have a few questions I'm hoping you can help me with:
1. Do I really need certifications like Linux+ or AWS Certified Cloud Practitioner to get interviews, or can a strong project portfolio suffice?
2. Are there any GitHub repos or project ideas that go beyond basic ones like to-do apps? I want to engage with real DevOps tasks that mirror what I'd be doing in a role.
3. Is it acceptable to use AI tools, like ChatGPT, for my projects, given that I fully understand the code and can explain it?
Thanks so much for any advice or resources you can share!
4 Answers
Welcome to the DevOps scene! While certs like the AWS Cloud Practitioner can help with HR processes, I'd say focusing on practical projects is key. Try building something like a CI/CD pipeline, containerizing an application with Docker, or using Terraform to set up cloud resources. Search for "awesome-devops" on GitHub for inspiration!
Also, check out prepare.sh for interview prep — it's super useful! And yes, feel free to use ChatGPT as long as you understand what you’re coding. Good luck!
You could try checking out [superhub.ai](http://superhub.ai/) for open source projects. They have connections to Y Combinator open source companies and potential bounties that could lead to a full-time job!
Breaking into DevOps can be challenging, but it's definitely achievable! Most hiring managers value practical experience over certifications for entry-level positions. Here's what I suggest for your questions:
1. **Certifications vs Projects**: If you want a cert, try starting with AWS Cloud Practitioner, but focus on creating real projects. A strong GitHub portfolio showcasing genuine DevOps workflows is way more meaningful than just holding certifications.
2. **Project Ideas**: Consider building a CI/CD pipeline with automated testing and security checks, or implementing infrastructure as code using Terraform to manage AWS resources. You could also look into setting up monitoring systems with Prometheus and Grafana, or work with container orchestration using Kubernetes.
3. **Using AI Tools**: Absolutely fine! Just make sure you understand the code and why you made certain decisions. Many engineers use AI in their daily work. Just ensure you're demonstrating your grasp of DevOps principles like automation and monitoring rather than just copying code.
Projects definitely take priority over certs! Focus on building things that highlight your skills. That’s what employers want to see.
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