| dc.date.accessioned |
2020-11-17T15:00:15Z |
|
| dc.date.available |
2020-11-17T15:00:15Z |
|
| dc.date.issued |
2020-11-17 |
|
| dc.identifier.uri |
http://hdl.handle.net/123456789/32027 |
|
| dc.title |
Digital content popularity counting with Amazon Web Services |
en |
| ethesis.discipline |
none |
und |
| ethesis.department |
none |
und |
| ethesis.faculty |
Matemaattis-luonnontieteellinen tiedekunta |
fi |
| ethesis.faculty |
Faculty of Science |
en |
| ethesis.faculty |
Matematisk-naturvetenskapliga fakulteten |
sv |
| ethesis.faculty.URI |
http://data.hulib.helsinki.fi/id/8d59209f-6614-4edd-9744-1ebdaf1d13ca |
|
| ethesis.university.URI |
http://data.hulib.helsinki.fi/id/50ae46d8-7ba9-4821-877c-c994c78b0d97 |
|
| ethesis.university |
Helsingin yliopisto |
fi |
| ethesis.university |
University of Helsinki |
en |
| ethesis.university |
Helsingfors universitet |
sv |
| dct.creator |
Sarapalo, Joonas |
|
| dct.issued |
2020 |
|
| dct.language.ISO639-2 |
eng |
|
| dct.abstract |
The page hit counter system processes, counts and stores page hit counts gathered from page hit events from a news media company’s websites and mobile applications. The system serves a public application interface which can be queried over the internet for page hit count information. In this thesis I will describe the process of replacing a legacy page hit counter system with a modern implementation in the Amazon Web Services ecosystem utilizing serverless technologies. The process includes the background information, the project requirements, the design and comparison of different options, the implementation details and the results. Finally, I will show how the new system implemented with Amazon Kinesis, AWS Lambda and Amazon DynamoDB has running costs that are less than half of that of the old one’s. |
en |
| dct.subject |
cloud computing |
|
| dct.subject |
serverless |
|
| dct.subject |
aws |
|
| dct.language |
en |
|
| ethesis.isPublicationLicenseAccepted |
true |
|
| ethesis.language.URI |
http://data.hulib.helsinki.fi/id/languages/eng |
|
| ethesis.language |
englanti |
fi |
| ethesis.language |
English |
en |
| ethesis.language |
engelska |
sv |
| ethesis.thesistype |
pro gradu -tutkielmat |
fi |
| ethesis.thesistype |
master's thesis |
en |
| ethesis.thesistype |
pro gradu-avhandlingar |
sv |
| ethesis.thesistype.URI |
http://data.hulib.helsinki.fi/id/thesistypes/mastersthesis |
|
| dct.identifier.ethesis |
E-thesisID:c98a2c48-b582-4ffd-a46b-f094af77bb4b |
|
| dct.identifier.urn |
URN:NBN:fi:hulib-202011174479 |
|
| dc.type.dcmitype |
Text |
|
| ethesis.facultystudyline |
Hajautetut järjestelmät ja tietoliikenne |
fi |
| ethesis.facultystudyline |
Networking and Services |
en |
| ethesis.facultystudyline |
Distribuerade system och datakommunikation |
sv |
| ethesis.facultystudyline.URI |
http://data.hulib.helsinki.fi/id/SH50_084 |
|
| ethesis.mastersdegreeprogram |
Tietojenkäsittelytieteen maisteriohjelma |
fi |
| ethesis.mastersdegreeprogram |
Master's Programme in Computer Science |
en |
| ethesis.mastersdegreeprogram |
Magisterprogrammet i datavetenskap |
sv |
| ethesis.mastersdegreeprogram.URI |
http://data.hulib.helsinki.fi/id/MH50_009 |
|
