Sökning: "Amazon Web Services"

Visar resultat 6 - 10 av 89 uppsatser innehållade orden Amazon Web Services.

1. 6. WebLang: A Prototype Modelling Language for Web Applications : A Meta Attack Language based Domain Specific Language for web applications

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Mille af Rolén; Niloofar Rahmani; [2023]
   Nyckelord :Meta Attack Language; Domain Specific Language; OWASP; Attack Simulations; Cyber Attacks; Threat Modelling; OWASP Juice Shop; Broken Access Control; Meta Attack Language; Domän Specifikt Språk; OWASP; Attack Simuleringar; Cyber Attacker; Hotmodellering; OWASP Juice Shop; Broken Access Control;

   Sammanfattning : This project explores how a Meta Attack Language based Domain Specific Language for web applications can be used to threat model web applications in order to evaluate and improve web application security. Organizations and individuals are targeted by cyberattacks every day where malicious actors could gain access to sensitive information. LÄS MER

3. 7. Comparing performance and developer experience for a serverless application integrated with a serverless database

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Datalogi

   Författare :Leonora Stiernborg; [2023]
   Nyckelord :serverless cloud computing faas;

   Sammanfattning : Cloud computing has introduced a paradigm shift in the information technology sector by enabling the user to access computing resources over the internet. Serverless is a new cloud computing technology that has gained significant popularity for the deployment of services and applications. LÄS MER

4. 8. Migration from Manual to Automatic Regression Testing : Best practices for Salesforce Test Automation

   M1-uppsats, KTH/Hälsoinformatik och logistik

   Författare :Redve Ahmed; [2023]
   Nyckelord :CI CD; Selenium; Test Automation; Salesforce; SaaS; CI CD; Selenium; Test Automation; Salesforce; SaaS;

   Sammanfattning : The goal of this thesis is to explore the possibility on if it is possible to automate regression testing for a SaaS application with a serverless approach. The thesis covers the fundamentals of the software development lifecycle, cloud concepts, different types of testing frameworks, and SaaS applications. LÄS MER

5. 9. The Allure of Automated Machine Learning Services : How SMEs and non-expert users can benefit from AutoML frameworks

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Datalogi

   Författare :Felix Lux Dryselius; [2023]
   Nyckelord :small and medium-sized enterprises; SME; machine learning; automated machine learning; AutoML; low-code; no-code; Vertex AI; AutoGluon; digitalization; project management;

   Sammanfattning : This study investigates how small and medium sized enterprises (SMEs) and other resource-lacking organisations can utilise automated machine learning (AutoML) to lessen the development hurdles associated with machine learning model development. This is achieved by comparing the performance, cost of usage, as well as usability and documentation for machine learning models developed through two AutoML frameworks: Vertex AI on Google Cloud™ and the open-source library AutoGluon, developed by Amazon Web Services. LÄS MER

7. 10. Cloud Computing and the GLAM sector : A case study of the new Digital Archive Project of Åland Maritime Museum.

   Master-uppsats, Uppsala universitet/Institutionen för ABM

   Författare :Ubaid Ali Faruqi; [2023]
   Nyckelord :Cloud computing technology; Amazon Web Services AWS ; Data storage; AWS Simple Storage Service S3 ; Low-cost-high-storage; Prototype creation; Preservation and access; Sustainable Digitization; Scalability; Readiness for adapting; GLAM sector; User Experience UX ;

   Sammanfattning : This thesis examines the benefits and drawbacks of cloud computing technology within the GLAM (Galleries, Libraries, Archives, and Museums) sector of Sweden and Finland. It employs the case study of the recently developed and launched Digital Archive Project at Åland Maritime Museum which leveraged the Amazon Web Services (AWS) technology stack to provide a cloud-based digital platform for the museum's archival materials. LÄS MER