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Software Development and Data Science: depict and monitor application usage - Big Data analytics software development with Splunk

Giorgio Avalle

Software Development and Data Science: depict and monitor application usage - Big Data analytics software development with Splunk.

Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Ict For Smart Societies (Ict Per La Società Del Futuro), 2019

Abstract:

The aim of this internship was to provide to Amadeus security team some monitoring tools dedicated to a specific family of products and services, called SAS. The project, named FUM (Functional Monitoring), consisted in events modelling, development of several web dashboards and activation of an email notification system. Everything has been realized using the Splunk software engine and, in parallel, well-documented on Confluence (the internal Amadeus wiki repository). Finally, governance has been defined to provide the rules and the best practices for all the developers that, in the future, may need to modify the source code or to develop new tools.

Relatori: Paolo Garza
Anno accademico: 2018/19
Tipo di pubblicazione: Elettronica
Numero di pagine: 83
Informazioni aggiuntive: Tesi secretata. Fulltext non presente
Soggetti:
Corso di laurea: Corso di laurea magistrale in Ict For Smart Societies (Ict Per La Società Del Futuro)
Classe di laurea: Nuovo ordinamento > Laurea magistrale > LM-27 - INGEGNERIA DELLE TELECOMUNICAZIONI
Ente in cotutela: EURECOM - Telecom Paris Tech (FRANCIA)
Aziende collaboratrici: SAS AMADEUS
URI: http://webthesis.biblio.polito.it/id/eprint/10961
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