- Knowledge of computing virtualization technologies (CPU, memory, I/O), including lightweight virtualization techniques (e.g., namespaces, Linux containers, Docker) - Knowledge of different cloud computing models (public/private/hybrid, IaaS/PaaS/SaaS) - Knowledge of common open-source service orchestrators (e.g., OpenStack, OpenShift, Kubernetes) - Knowledge of cloud automation concepts and tools (e.g., Ansible)

Basic computer network concepts Detailed knowledge of computer architectures Familiarity with Linux operating system

Benefits and historical perspective of cloud computing (0,2 cfu) Full virtualization technologies: CPU, memory and I/O virtualization (0,8 cfu) Lightweight virtualization: Cgroups, namespaces, Linux containers, Docker (0,7 cfu) Cloud computing models: public/private/hybrid, IaaS/PaaS/SaaS (0,3 cfu) Cloud computing orchestrators: components and interactions (0,4 cfu) Open-source orchestrators: OpenStack, OpenShift, Kubernetes (2,0 cfu) Cloud automation (0,4 cfu) Lab (1,2 cfu)

The course includes 48 hours of traditional teaching, complemented by homeworks focusing on the most important topics of the course, which have to be completed by each single student. In addition, 12 hours are dedicated to lab exercises that require to practice with the most important technologies presented in the course, such as the Kubernetes orchestrator, Docker, Ansible. Lab exercises are delivered through a cloud-based system and therefore can be completed also from a remote location. Lab exercises are expected to be completed by groups of two students.

Given the very recent content of this course, no textbook is available. Students are provided with slides used in class, pointers to scientific papers to deepen the knowledge on some selected topics, exercises, and lab assignments. All the material is freely available from the web.

Lecture slides; Lab exercises; Video lectures (current year);

Exam: Optional oral exam; Computer-based written test in class using POLITO platform;

Expected learning outcome Knowledge of the topics presented in class and of the lab assignments. Capability to solve exercises that involve the technologies presented in class. Capability to solve exercises that involve a more complex scenario including multiple technologies presented in class. Exam: rules, procedures Final exam is delivered in written form and it includes a set of exercises and/or open-answer questions, each one reaching a max of 5 points. Exercises may be required to be solved on a cloud-based system, which enables the student to play with a real cloud environment even during the exam. In addition, a set of closed-answer questions may be delivered, each one accounting for max 1 points. The total score of the written exam is max 30 points. The written exam lasts no more than 2 hours; student cannot use any additional material (e.g., slides, notes, etc). Students who reach a grade >=26 in the written exam can ask for an optional oral exam, consisting in one question, which contributes to the final grade with max 3 points. The oral may also be requested by the professor, e.g., in case it could be useful to decide the final grade, or in case the number of students enrolled in the exam is very limited.

In addition to the message sent by the online system, students with disabilities or Specific Learning Disorders (SLD) are invited to directly inform the professor in charge of the course about the special arrangements for the exam that have been agreed with the Special Needs Unit. The professor has to be informed at least one week before the beginning of the examination session in order to provide students with the most suitable arrangements for each specific type of exam.