NetDevOps

1.

Subject title

NetDevOps

DevOps во мрежна околина

2.

Code

m23_s_022

3.

Study program

Data science in computer science and engineering, IT management, Bioinformatics, Security, Cryptography and Coding, Еducation with ICT, Eco-informatics, Inteligent Systems, Computer Science, Statistics and Data Analytics, Software for embedded systems, IT management, Bioinformatics, Security, Cryptography and Coding, Statistics and Data Analytics, Software Engineering, Software Engineering, Cloud Computing, Internet Technologies and cyber security, Cloud Computing,

4.

Organizer of the study program (unit, institute, department, division)

Faculty of Information Sciences and Computer Engineering

5.

Study cycle (first, second, third)

Втор циклус

6.

Academic year / semester

5 / Летен

7. Number of ECTS credits

6.0

8.

Instructor

ворн. проф. д-р Александра Дединец проф. д-р Соња Филипоска

9.

Prerequisites for enrollment

10.

Subject goals and competencies:

The student should gain knowledge that will enable him to implement the network requirements using the concepts from the DevOps culture which will lead to improving the organisational stability. The student will gain understanding and will be able to use the advanced networking technologies such as SDN and NFV and know how to use advanced open source tools to automate network setup and configuration. The course defines the basis for support and collaboration between the software developers and the network administrators.

11.

Subject content:

Strategies that can be used by the engineerings to initiate cultural change required for network function automation. Network strategies for fast scaling of new projects. Software defined networks SDN. Network technologies in public and private cloud based environments. Using API based approaches to solve typical problems in the network environment. Influence of automation on network security. Configuration tools, such as Ansible and Jenkins, that can be used for orchestration and configuration of network devices. Setting up an environment for continuous integration, setting up production network functions using automated continuous integration. Creation of test environments for network changes. Virtual containers and their influence on the network environment. Software defined load balancing in a microservices environment. DevOps processes and workflows to enable network automation.

12.

Learning methods:

Предавања поддржани со презентации преку слајдови, интерактивни предавања, вежби (користење на опрема и софтверски пакети), тимска работа, пример случаи, поканети гости предавачи, самостојна изработка и одбрана на проектна задача и семинарска работа, учење во електронско опкружување (форуми, консултации).

13.

Total available time fund

6.0 ECTS x 30 hours = 180 hours

14.

Time distribution

45 + 15 + 30 + 50 + 40 = 180 hours

15.

Forms of teaching activities

15.1.

Lectures - theoretical teaching

45 hours

15.2.

Exercises (laboratory, classroom), seminars, team work

15 hours

16.

Other forms of activities

16.1.

Project tasks

50 hours

16.2.

Independent tasks

30 hours

16.3.

Homework

40 hours

17.

Grading method

17.1.

Tests

45 points

17.2.

Seminar work / project (presentation: written and oral)

50 points

17.3.

Activities and learning

10 points

17.4.

Final exam

0 points

18.

Grading criteria (points / grade)

up to 50 points

5 (five) (F)

from 51 to 60 points

6 (six) (E)

from 61 to 70 points

7 (seven) (D)

from 71 to 80 points

8 (eight) (C)

from 81 to 90 points

9 (nine) (B)

from 91 to 100 points

10 (ten) (A)

19.

Condition for signature and taking final exam

реализирани активности

20.

Language of instruction

македонски и англиски

21.

Quality assurance method

механизам на интерна евалуација и анкети

22.

Literature

22.1.

Mandatory literature

22.2.

Additional literature