KTH DevOps Course

This repository contains the material and content of the DevOps course at KTH Royal Institute of Technology DD2482.

Schedule

The schedule is at https://www.kth.se/social/course/DD2482/calendar/

If you can't see any schedule events on the HTML page
Change course rounds/groups in My settings or change the time period above so that it conforms to the course round.

Program

Week 1: Introduction (mandatory)

• Preparatory reading: DevOps principles and demo
• Course introduction Martin Monperrus (Teaching philosophy, flipped classroom, Expectations, Team, Agenda, Grading, Communication, Infrastructure, Master's theses and Research)
• Goals: watch the repo, register one first task as a pull request on this repo.

Week 2: Testing automation, Continuous Integration, Feature flags

• Preparatory material Testing at scale, Harvesting Production GraphQL Queries to Detect Schema Faults, The Rituals of Iterations and Tests
• Student presentations, demonstrations

Week 3: Continuous Deployment / Delivery

• Preparatory material An Introduction to Continuous Integration, Delivery, and Deployment, The Top 10 Adages in Continuous Deployment
• Student presentations, demonstrations

Week 4: MLOps/AIOps/LLMOps

• Preparatory material: Short intro to MLOps, Building Machine Learning Models Like Open Source Software, What is A/B testing?
• Student presentations, demonstrations

Week 5: Infrastructure as Code

• Preparatory material: Best practices for container compliance, Building on-demand staging environments, Gang of eight: a defect taxonomy for infrastructure as code scripts
• Student presentations, demonstrations

Week 6: Dependency Management & DevSecOps

• Preparatory material: A 'Worst Nightmare' Cyberattack: The Untold Story Of The SolarWinds Hack, The supply chain of software, Successes, challenges, and wombat behind npm, A comprehensive study of bloated dependencies in the Maven ecosystem
• Student presentations, demonstrations

Week 7: Other topics

• incl. Monitoring and Observability, cultural aspects and legal aspects, Software bots, , Misc DevOps topics
• Preparatory material Chaos Engineering A Chaos Engineering System for Live Analysis and Falsification of Exception-handling in the JVM
• Student presentations, demonstrations

Rules

To pass the course, the student has to complete and pass between 3 and 5 tasks:

• The tasks are in category: "presentation (mandatory)", "demo (mandatory)", "scientific paper", "executable tutorial", "contribution to open-source", "feedback" (presentation and demos are mandatory, at most one in the same category, it is not necessary to cover everything).
• The grading criteria page is the unique reference which explains how to pass each task category.
• The student proposes a category and a topic, which is discussed and accepted by the TA. The proposal is made as a structured pull-request on this repository. The 3-5 graded contributions must have little overlap.
• The same student cannot choose the same topic for two different tasks. The 3-5 tasks should cover different aspects of DevOps.
• Deadlines:
  • Deadline for presentations, demos, paper: the day and time they are given in person
  • Deadline 1 for async tasks: Oct 1 2024, 17h Stockholm time
  • Deadline 2 for async tasks: Oct 8 2024, 17h Stockholm time
  • Deadline 3 for async tasks: Oct 15 2024, 17h Stockholm time
  • Deadline for feedback on async tasks: 48 hours after delivery for a given deadline
  • Deadline for repeated tasks (all): Nov 5 2024, 17h Stockholm time.
  • The deadlines are strict and cannot be extended. Not meeting a deadline means failing the task / the repetition.
• Final grading scheme
  • E: 3 completed tasks (excluding feedback)
  • C: 4 completed tasks
  • B: 5 completed tasks
  • A: 5 completed tasks + active participation in all but one lectures
• Active participation: attendance to all but one lectures, a traceable record of questions asked during lectures (through GitHub issues) and the answers you received to them.
• Group work is encouraged (max 2 persons) but you cannot be with the same person for more than 2 individual tasks. As a general rule, you are not allowed to work alone.
• A failed task requires to pass it again at the end of the course (repeat), based on the feedback from the failure. A task can only be repeated once.
• If the whole course is failed, no grades are kept if the student registers again to the course the year after.
• After a proposal has been merged, the topic of that proposal cannot be changed.

Group Rules

• When you send a pull request for registration, please follow the name convention of using email addresses of two members to create the folder: email-email.
• We recommend 2 students. Three is also possible for ambitious demos or contribution to open-source.

Communication

• All communication for the course DD2482 should be sent to dd2482@eecs.kth.se.
• you create issues here if you think the question is good to be discussed publicly, the rules of netiquette fully apply.

Participation

Lectures The lectures are held on campus (no hybrid / no video link). The lecture locations are given on KTH Social https://www.kth.se/social/course/DD2482/calendar/. The first lecture is mandatory, the other ones are strongly encouraged.

Lab sessions

• Lab slots are not mandatory. They are given in person (preferably) or videoconf.
• During the planned lab time slot, please use this Queue for booking online meetings
• Specify your zoom meeting link when you register the queue

Examinations: Some tasks require physical presence (presentation, demo, scientific paper), others do not (open-source, feedback).

Team

• Prof. Martin Monperrus (Examiner)
• Javier Ron (TA)
• Deepika Tiwari (TA)
• Sofia Bobadilla (TA)
• Aman Sharma (TA)

Prerequisites

• A software engineering course (eg DD2480)
• A networking course (eg IK2218)

See also

• KTH Social URL: https://www.kth.se/social/course/DD2482/
• Kopps URL: https://www.kth.se/student/kurser/kurs/DD2482?l=en
• Past editions:
  • KTH DevOps Course 2019
  • KTH DevOps Course 2020
  • KTH DevOps Course 2021
  • KTH DevOps Course 2022
  • KTH DevOps Course 2023