ISLA IPGT 24425

Cloud Computing

• ApresentaçãoPresentation

  The Cloud Computing course falls within the field of information technologies, addressing the fundamental principles, models, and services of cloud computing. The course focuses on the study of cloud infrastructures, distributed architectures, virtualization, resource automation, and platform management, preparing students to work in modern and highly scalable technological environments. Its scope includes understanding, implementing, and managing Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) services, as well as security, monitoring, and optimization practices in cloud environments. This course is particularly relevant to the study cycle because it equips students with essential skills to work in organizations that require digital technological solutions, ensuring adaptability to market demands and constant technological evolution.
• ProgramaProgramme

  Introduction to cloud computing: concepts, characteristics, and evolution. Service models (IaaS, PaaS, SaaS) and implementation models (public, private, hybrid, and multicloud). Infrastructure and virtualization: servers, networks, storage, containers, and orchestration. Distributed architectures: scalability, load balancing, high availability, and fault tolerance. Essential cloud platform services (compute, storage, networking, serverless) and introduction to AWS, Azure, and GCP. Cloud security: shared responsibility, identity, encryption, and compliance. Monitoring, management, and automation: observability, metrics, IaC, and cost optimization. Enterprise integration, migration, and key use cases.
• ObjectivosObjectives

  Understand service models (IaaS, PaaS, SaaS) and deployment models (public, private, hybrid). Apply virtualization, orchestration, and automated resource management techniques. Administer cloud services, including storage, networking, security, and monitoring. Evaluate cloud solutions and architectures according to performance, cost, availability, and security requirements. Integrate cloud services into enterprise environments, promoting scalability and resilience. Develop critical thinking skills to compare providers, billing models, and industry best practices. Foster practical skills in using leading cloud platforms, applying them in real-world scenarios.
• BibliografiaBibliography

  Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., … Zaharia, M. (2010). A view of cloud computing. Communications of the ACM, 53(4), 50–58. Hess, K., & Hightower, B. (2017). Kubernetes: Up and Running. O’Reilly Media. Hoffman, C., & Flores, R. (2019). Google Cloud Platform for Architects. Packt Publishing. Jamsa, K. (2021). Cloud Computing: SaaS, PaaS, IaaS, Virtualization, Business Models, Mobile, Security, and More. Jones & Bartlett Learning. Krutz, R. L., & Vines, R. D. (2010). Cloud Security: A Comprehensive Guide to Secure Cloud Computing. Wiley. Microsoft Azure Documentation. (n.d.). Microsoft Azure Architecture Center. Microsoft Corporation. Murphy, M., & Shaw, J. (2020). AWS Certified Solutions Architect Official Study Guide. Wiley. Sitaram, D., & Manjunath, G. (2011). Moving to the Cloud: Developing Apps in the New World of Cloud Computing. Elsevier.
• MetodologiaMethodology

  This course integrates innovative methodologies that promote active and applied learning. Practical labs are used in real cloud environments, allowing students to directly experience services and configurations. Challenge-based learning, problem-solving, and guided projects are employed, where students implement solutions based on real-world scenarios. Architecture simulations and infrastructure-as-code exercises are also applied, fostering technical autonomy. Learning is complemented by guided demonstrations, the use of interactive platforms, guided debates, and critical analysis of industry case studies, reinforcing the connection between...
• LínguaLanguage

  Português
• TipoType

  Semestral
• ECTS

  6
• NaturezaNature

  Mandatory
• EstágioInternship

  Não
• AvaliaçãoEvaluation

  Descrição dos instrumentos de avaliação (individuais e de grupo) ¿ testes, trabalhos práticos, relatórios, projetos... respetivas datas de entrega/apresentação... e ponderação na nota final.

  Exemplo:

  Descrição	Data limite	Ponderação
  Trabalho de avaliação	7º semana	50%
  2º Trabalho de avaliação	Ultima Aula	50%