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STUDY PLANS
2024/2025
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Welcome page > Faculty of Information Technology > Department of Software Engineering > Introduction to DevOps

Introduction to DevOps

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Code Completion Credits Range Language
BI-IDO.21 Z,ZK 5 2P+2C Czech
Garant předmětu:
Jiří Mlejnek
Lecturer:
Jiří Mlejnek, Tomáš Vondra
Tutor:
Martin Beránek, Martin Hlavatý, Martin Chvíla, Tomáš Klas, Ladislav Louka, Martin Mareš, Jiří Mlejnek, Štěpán Pechman, Zdeněk Rybola, Miroslav Štaffa, Valerii Ulitin, Michal Valenta, Tomáš Vondra
Supervisor:
Department of Software Engineering
Synopsis:

The course deals with the topic of DevOps and prepares future developers and administrators for a modern culture of development and operation of systems and services. The course covers the tools to support software development, testing and compilation. It also focuses on tools for automating infrastructure management and building and deploying software to the Cloud. It is an introduction to technologies that will then be discussed in more detail in related follow-up courses. The student will also get acquainted with modern technologies used in practice.

Requirements:

Java/PHP (BI-TJV/BI-PHP), algoritmization, databases, basics of computer hardware from BI-SAP, Unix from BI-UOS, Linuxu command line from BI-PS1, working with files, remote login, user rights, root mode, BASH scripts

Syllabus of lectures:

1. Introduction to DevOps, Team collaboration.

2. Continuous Integration, Pipelines.

3. Software testing - unit tests, tests with user interaction simulation.

4. Code quality testing in CI, DevSecOps.

5. Release and deployment

6. Containerization, Building an image for container.

7. Manual use of the Cloud, use of cloud services - PaaS.

8. Server management automation.

9. Application architectures for scaling in the cloud.

10. Alert, metric, and log monitoring

11. Cloud infrastructure scripting techniques, Infrastructure in Code - IaC

12. How it works in practice.

Syllabus of tutorials:

1. Team collaboration tools.

2. Basics of pipelines - CI.

3. Application build in CI.

4. Static code analysis.

5. Classified task - Dev.

6. Container build.

7. Using Cloud in command line.

8. Using configuration management for server maintenance automation.

9. Container deployment to Paas.

10. Classified task - Ops

11. Terraform

12. Automatic scaling and load testing

Study Objective:
Study materials:

1. Kim G., Debois P., Willis J., Humble J. : The DevOps Handbook: How to Create World-Class Agility, Reliability, and Security in Technology Organizations. IT Revolution Press, 2016. ISBN 978-1942788003.

2. Forsgren N., Humble J., Kim G. : Accelerate: The Science of Lean Software and DevOps: Building and Scaling High Performing Technology Organizations. IT Revolution Press, 2018. ISBN 978-1942788331.

3. Davis J. : Eective DevOps: Building a Culture of Collaboration, Anity, and Tooling at Scale. O'Reilly Media, 2016. ISBN 978-1491926307.

4. Hochstein L., Moser R. : Ansible: Up and Running: Automating Confguration Management and Deploy-ment the Easy Way (2nd Edition). O'Reilly Media, 2017. ISBN B0743VR1MC.

Note:
Further information:
https://courses.fit.cvut.cz/BI-IDO
Time-table for winter semester 2024/2025:
Time-table is not available yet
Time-table for summer semester 2024/2025:
Time-table is not available yet
The course is a part of the following study plans:
Data valid to 2024-06-16
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