Cloud Native Applications on Kubernetes

Containerization technologies and orchestration solutions like Kubernetes are the cornerstones of building efficient microservice-based scalable and reliable applications. This course deals with the nature, design, and development of container-based systems and cloud-native services. The knowledge acquired in the course is hardened through practical tasks.

The goals of the course are to:

• Give students knowledge and understanding of the nature of containerization, container orchestration solutions and using them to design cloud-native systems.
• Provide hands-on experience in managing Kubernetes services, deployments, and creating cloud-native applications.
• Introduce recent developments in the domain

Prerequisites and Expectations to students

Students who take this course should be:

• Comfortable with Linux
  • Linux command line
  • Using VMs
• Comfortable with different programming and configuration languages
  • Python
  • Some JavaScript
  • Web programming
    • External APIs
    • REST
  • YAML (and JSON)

NB! Using a personal laptop is necessary in the labs. If you do not have one, you should be able to lend laptop from the institute.

Learning outcomes:

The student will know:

• The architecture and building blocks of Kubernetes
• How to build microservices using Kubernetes
• How to configure, administer, and deploy services
• How to test, scale, and monitor Kubernetes applications
• How to design reliable cloud-native applications

Organization of the course

Lecturers:

• Pelle Jakovits - Narva mnt 18, 3040 (jakovits ät ut . ee), +372 737 6419
• Ilja Livenson (ilja . livenson ät ut . ee)
• Sander Kuusemets (sander . kuusemets ät ut . ee)

Lab supervisors:

• Sergei Zaiaev (sergei . zaiaev ät ut . ee)

Lecture times:

• Wednesday 10.15 - 12.00 in Delta (Narva mnt 18) - room 2048 (And broadcast live)

Practice session times:

• Wednesday 12.15 - 14.00 in Delta (Narva mnt 18) - room 2048
• Thursday 14.15 - 16.00 Online only (Zoom)

Course communication

• Course Zoom
  • Used for Lecture broadcast.
• Course Slack
  • Used for course discussion, lab support.
  • You have to be logged in and student of the course to see the link here. (Contact Pelle if you can not see the link)
• Study Information System (SIS)
  • Course announcements will be sent through SIS.
    • Make sure your email is configured in SIS so you do not miss any important information

Assessment

• Lab exercises: 50% of the final grade comes from completing mandatory labs
• Exam: 50% of the final grade
• Course is graded positively if you collect at least 51% of total points

Labs have to be done 100% to be eligible for the final exam. An automated system will check the completion of labs.

1. Have to pick between two options:
   1. Exam Option I - December XX - 10.00 - 14:00
   2. Exam Option II - January X - 10.00 - 14:00 
2. RE-exam - January XX - 10.00 - 14:00 
   1. Can only take re-exam if you fail the first try
   2. Can not be used to improve grade