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The reference material entries listed in this document are contributions covering GitOps principles and related topics. They do not constitute endorsements or affiliations with any specific tools, solutions, or companies mentioned in these documents. The inclusion of references is purely for academic or informational purposes to support understanding and research in the field of GitOps. If you want to include any related material please submit a PR.
Official or community-contributed documentation for GitOps tools, platforms, and frameworks, providing guidance on installation, configuration, and usage.
Step-by-step tutorials, guides, or manuals providing instructions on how to implement specific GitOps practices, set up tools, or solve common challenges.
Online courses, workshops, or training materials offering structured learning paths, certifications, and hands-on exercises focused on GitOps concepts and tools.
Books
Book Name
Language
Authors
Published Date
Publisher
ISBN
GitOps and Kubernetes
English
Billy Yuen, Alexander Matyushentsev, Todd Ekenstam and Jesse Suen
February 2021
Manning
9781617297274
GitOps Cookbook
English
Natale Vinto and Alex Soto Bueno
January 2023
O'Reilly Media, Inc
9781492097471
GitOps: Cloud-native Continuous Deployment
English
Anja Kammer, Florian Beetz and Simon Harrer
July 2021
Innoq Deutschland Gmbh
9783982112688
Repeatability, Reliability, and Scalability through GitOps: Continuous delivery and deployment codified
English
Bryan Feuling
May 2021
Packt
9781801077798
Practical Gitops: Infrastructure Management Using Terraform, Aws, and Github Actions
English
Rohit Salecha
December 2022
Apress
9781484286722
GitOps: Grundlagen und Best Practices
German
Baris Cubukcuoglu, Josia Scheitt, Johannes Schnatterer
2024
dpunkt.verlag
9783864909962
Research Papers
Paper Title
Authors
Journal/Conference
Year
DOI/URL
Prevalence of GitOps, DevOps in Fast CI/CD Cycles
Saumya Gupta, Madhulika Bhatia, Meenakshi Memoria and Preeti Manani
2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COM-IT-CON)