Course | School of Engineering

Improvement Program in Cloud Computing: Cloud Fundamentals

Duration:
2 months – 8 weeks, one class per week of 3 hours. Total 24 hours.
Modality:
In‑person
More information: postgraduates.ingenieria@um.edu.ar

Objectives

Understand the motivations that lead to the cloud computing model.
Understand the components that support today's cloud computing infrastructure.
Acquire the skills to manage cloud computing infrastructures.

Recipients

The module is open to the community and aimed at those who are interested in starting conceptually and practically in the Cloud Computing model.

Syllabus

  • Motivations: What Architecture does facebook / google / twitter work on?
  • Onlineization: Concepts, Hardware / network / storage onlineization. Operating systems / containers. NAS / SAN / DAS
  • Onlineization tool with Clustering support: ProxMox
  • Onlineization Cluster. Scaling concepts: N+1, horizontal scale-out, SDN, SDS. Practical Case.
  • Use of Onlineization Cluster: Volumes, Networking, Migration. Practical Case.
  • Cloud Computing concepts.
  • Cloud Computing Tool: OpenStack / Horizon: Components, Volumes, Floating-IPs.
  • Cloud Computing Tool: Horizon. Practical case.
  • Commercial Cloud Computing Tools: AWS, Google Cloud, Azure.
  • Commercial Cloud Computing Tools: Development of a practical case on Google Cloud.
  • Infrastructure as code: Terraform

Teaching Staff

mg. Ing. Pablo Gomez
Mr. Alejandro Mansilla
Mr. Fernando G. Sosa

Requirements

Knowledge of Internet protocols / Server Hardware.
It is not necessary professional training in Computer Science.

Certification

UM certificate for attendance and additionally [who requests it] for approval of the module for which an integrative evaluation is carried out.

Understand the motivations that lead to the cloud computing model.
Understand the components that support today's cloud computing infrastructure.
Acquire the skills to manage cloud computing infrastructures.

The module is open to the community and aimed at those who are interested in starting conceptually and practically in the Cloud Computing model.

Syllabus

  • Motivations: What Architecture does facebook / google / twitter work on?
  • Onlineization: Concepts, Hardware / network / storage onlineization. Operating systems / containers. NAS / SAN / DAS
  • Onlineization tool with Clustering support: ProxMox
  • Onlineization Cluster. Scaling concepts: N+1, horizontal scale-out, SDN, SDS. Practical Case.
  • Use of Onlineization Cluster: Volumes, Networking, Migration. Practical Case.
  • Cloud Computing concepts.
  • Cloud Computing Tool: OpenStack / Horizon: Components, Volumes, Floating-IPs.
  • Cloud Computing Tool: Horizon. Practical case.
  • Commercial Cloud Computing Tools: AWS, Google Cloud, Azure.
  • Commercial Cloud Computing Tools: Development of a practical case on Google Cloud.
  • Infrastructure as code: Terraform

mg. Ing. Pablo Gomez
Mr. Alejandro Mansilla
Mr. Fernando G. Sosa

Knowledge of Internet protocols / Server Hardware.
It is not necessary professional training in Computer Science.

UM certificate for attendance and additionally [who requests it] for approval of the module for which an integrative evaluation is carried out.

Universidad de Mendoza. All rights reserved.
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