devops-exercises open source analysis

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

Project overview

⭐ 79853 · Python · Last activity on GitHub: 2025-10-07

GitHub: https://github.com/bregman-arie/devops-exercises

Why it matters for engineering teams

Devops-exercises addresses the practical challenge of preparing engineering teams for real-world DevOps and SRE responsibilities through hands-on practice with industry-standard tools and workflows. It is particularly suited for production engineers, site reliability engineers, and DevOps professionals who need to sharpen their skills in areas like Kubernetes, Terraform, Ansible, and cloud platforms such as AWS and Azure. The repository is mature and widely used, reflecting a reliable open source tool for engineering teams looking to build practical knowledge that translates directly to production environments. However, it may not be the best fit for teams seeking a turnkey production ready solution or those focused solely on application development without infrastructure or operations concerns.

When to use this project

This project is a strong choice for teams aiming to develop or assess practical DevOps skills in a controlled, hands-on manner. Teams focused purely on automated deployment pipelines or those requiring vendor-supported commercial tools might consider alternatives better tailored to those needs.

Team fit and typical use cases

DevOps engineers, SREs, and production engineers benefit most from this repository as they use it to simulate real-world scenarios involving infrastructure as code, container orchestration, and cloud services. It is commonly employed by teams managing complex distributed systems and cloud-native applications, providing a self hosted option for continuous skills development and interview preparation.

Topics and ecosystem

ansible aws azure coding containers devops docker git interview interview-questions kubernetes linux openstack production-engineer prometheus python sql sre terraform

Activity and freshness

Latest commit on GitHub: 2025-10-07. Activity data is based on repeated RepoPi snapshots of the GitHub repository. It gives a quick, factual view of how alive the project is.