Encoding human-like operational knowledge using declarative Kubernetes operator patterns

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Journal Title
Journal ISSN
Volume Title
Sähkötekniikan korkeakoulu | Bachelor's thesis
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Author
Date
2021-12-17
Department
Major/Subject
Digital Systems and Design
Mcode
ELEC3056
Degree programme
Aalto Bachelor's Programme in Science and Technology
Language
en
Pages
52
Series
Description
Supervisor
Andraud, Martin
Thesis advisor
Di Francesco, Mario
Keywords
cloud native, Kubernetes, servers, cloud services, control engineering, entropy
Other note
Citation
Permanent link to this item
https://urn.fi/URN:NBN:fi:aalto-202201041023
Collections
[kand] Sähkötekniikan korkeakoulu / ELEC