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To learn to design och implement cloud services and understand and formulate relevant research challenges.

The course will contain both practical sessions around common cloud frameworks and tools, as well as the theoretical underpinnings.

Understanding of the fundamental principals of cloud computing.
Insight into the theoretical challenges of distributed computing in a cloud setting.

Manage Infrastructure-as-a-Service and design and implementation robots and scalable cloud applications.
Ability to design and implement data intensive cloud applications on standard platforms.

Show insight in the trade-offs in choice of tools, algorithms, and architecture.

Föreläsningar

övningar

Projekt

Inlämningsuppgifter

Two homework assignments and a larger course project

Underkänd, godkänd

Basic knowledge on Linux and Python

Basic knowledge on networking and programming

Kleppmann, M.: Designing Data-intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Oreilly & Associates Incorporated, 2017. ISBN 9781449373320.
Burns, B.: Designing Distributed Systems: Patterns and Paradigms for Scalable, Reliable Services. 2018. ISBN 9781491983645.
Hightower, K.: Kubernetes: Up and Running: Dive Into the Future of Infrastructure. O'Reilly Media, 2016. ISBN 9781491935675.

FRT216F

 -11-25

Professor Thomas Johansson