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DevOps in large organizations: managing people, processes and implementations

Alisa Arakelyan

DevOps in large organizations: managing people, processes and implementations.

Rel. Giovanni Malnati. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2020

Abstract:

A database is a collection of data and is often a key target for cyber-criminals as it can contain sensitive information locked away inside. Therefore, hackers can profit from breaching a businesses’ servers and plundering databases. The researchers state that several failures are unfortunately frequent in database-driven systems, such as: deployment failures, stolen Database backups, SQL injection, Database inconsistencies and more. Due to all these failures and problems, protection of databases against negotiations of their integrity, confidentiality and availability is needed. Database Security call attention to the collective measures used in order to protect and secure a database from malicious attacks and software threats. To pursue the security of databases, it is necessary to make them private on the Cloud. The used Cloud environment is Amazon Web Services (AWS), which is the fastest growing and largest public cloud computing platform. Moreover, the biggest advantage of AWS is the security but it is provided of several services including: cloud computing, storage, mobile services, game development and databases. In particular, we exploited some features of AWS to make a database private. If a database already exists, to migrate an existing database from public configuration to the private one; whereas a new one is directly created as a new Relational Database System.

Relatori: Giovanni Malnati
Anno accademico: 2019/20
Tipo di pubblicazione: Elettronica
Numero di pagine: 59
Informazioni aggiuntive: Tesi secretata. Fulltext non presente
Soggetti:
Corso di laurea: Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering)
Classe di laurea: Nuovo ordinamento > Laurea magistrale > LM-32 - INGEGNERIA INFORMATICA
Aziende collaboratrici: Amazon Italia Logistica Srl
URI: http://webthesis.biblio.polito.it/id/eprint/15339
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