JSC OpenStack training (training course, online)

(Course no. 1392024 in the training programme 2024 of Forschungszentrum Jülich)

This course will take place as an online event. The link to the streaming platform will be provided to the registrants only.

Contents:

JSC offers a Cloud computing platform for users with a demand for scientific use cases. The cloud platform at JSC is based on OpenStack and comprises a number of services like compute, network, volumes, etc. It also extends its services to fulfill more complex use cases, such as services based on data residing in the HPC file systems and services requiring GPUs (available only in the JUSUF cloud). The aim of this course is to give users of the HDFCloud or JUSUF Cloud an introduction to different core OpenStack services, such that they can interact with these services and perform operations according to their needs.

The course will start with an introduction to cloud computing and OpenStack in general and then prepare a tutorial environment which is later to be used to run the OpenStack commands. We then go on to explain core OpenStack services with hands-on exercises. By the end, participants will be able to create their own resources like network subnets, images, and block storage. Eventually, these resources can be used to create and run their Virtual Machines (VMs), where they can host their own services/applications.

Topics covered include:

• Authentication, basic setup, environment
• Nova
• VM service
• VM exercise
• Glance
• VM images
• Neutron
• Networking
• Networking exercise
• Cinder
• Storage, Cinder
• Storage exercise
• Discussion

Advanced topics covered in the afternoon:

• Kubernetes
• Heat
• Load balancers

Prerequisites:

Knowledge of basic Linux

Language:

This course is given in English.

Duration:

5 hours

Date:

20 February 2024, 09:00-12:00 and 13:30-15:30

Location:

online

Instructor:

Sebastian Achilles, JSC
Prateek Gautam, JSC
Björn Hagemeier, JSC
Tim Kreuzer, JSC

Contact:

Björn Hagemeier

Head of ATML Data Management and Analytics and co-lead of division Large Scale Data Science PI in Helmholtz Information Program 1, Topic 1

• Institute for Advanced Simulation (IAS)
• Jülich Supercomputing Centre (JSC)

Building 16.3 /
Room 339

+49 2461/61-1584

E-Mail

Registration:

Please register via the registration form until 13 February.