Introduction to Cloud

Join today
  • Instructor:  Tannia Chevez
  • Level: Beginner
  • Duration: 3 hours
  • Helpers: Chris Geroux
  • Date:  October 29, 2024 | 1:00 - 4:00 pm (Atlantic)
  • Prerequisite:  The Unix Shell or similar experience
Empty space, drag to resize
COURSE DESCRIPTION

Cloud computing provides great flexibility allowing complete control of the computing environment. In addition the environment can be copied, backed up, created and recreated in automated ways. This workshop will start you on the path towards making use of the great flexibility and power of cloud computing.


In this workshop we will cover what a cloud is and basic cloud concepts such as virtualization, networking, and security. We will create our first virtual machine in the Alliance’s Openstack cloud and perform some essential Linux administrative tasks. 


SETUP REQUIREMENTS

Meet your teaching team

Tannia Chevez

Instructor

Digital Training Specialist
BSc Computational Chemistry, Memorial University

Tannia joined ACENET in 2023 and is based in St. John’s. She has held positions as a research assistant in various departments, with responsibilities ranging from developing algorithms for an online animal sound repository, to crafting chemical composite films. Proficient in Python, Java, and JavaScript, she has focused on spectral data analysis, SEM image-based nanoparticle detection, and software development for data analysis. Tannia contributed significantly to the publication of a research paper by analyzing potential environmental toxicants, generating millions of chemical structure IDs, and conducting data extraction and analysis using Python, R, and JavaScript, as well as enhancing algorithms for simulating potential environmental toxicants’ behavior in water, soil, and air environments. Tannia’s teaching experience includes a Leader Instructor at Brilliant Labs where she taught a range of digital topics, and a Digital Literacy Instructor for the Association for New Canadians.

Sarah Clarke

Host

Digital Training Specialist
MSc Computational Chemistry, Dalhousie University

Sarah, based in Nova Scotia, joined ACENET in 2023. She has a range of teaching experience and held regular teaching assistant positions. Passionate about scientific literacy, Sarah has developed teaching materials and taught programming and robotics to youth in St. John's. She has also led professional development workshops for teachers, focusing on digital skills. For her MSc in Computational Chemistry research, she focused on interfacing crystal structure prediction methods.

Chris Geroux

Helper

Research Consultant
Ph.D. Astrophysics, Saint Mary’s University

Chris has been working in HPC since 2005 and joined ACENET in 2015. He is based at Dalhousie University and has a focus on cloud. For his PhD he developed a C++ code to model stellar convection using the OpenMPI framework for parallelism. He also was an associate research fellow at the University of Exeter. Since joining ACENET Chris is been involved in developing the national cloud documentation and is a member of the cloud national team.