JSC OpenStack training (Trainingskurs, Präsenzveranstaltung)

(Kurs-Nr. 1862023 im Trainingsprogramm 2023 des Forschungszentrums Jülich)

Bitte beachten: Dieser Kurs findet als Präsenzkurs statt. Es ist keine online-Teilnahme möglich.

Inhalt:

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

Voraussetzungen:

Knowledge of basic Linux

Sprache:

Dieser Kurs wird auf Englisch gehalten.

Dauer:

5 Stunden

Zeit:

12. Juni 2023, 9.00 - 12.00 und 13.30 - 15.30 Uhr

Ort

Jülich Supercomputing Centre, Ausbildungsraum 1, Geb. 16.3, R. 213a
Dieser Kurs findet als Präsenzkurs statt. Es ist keine online-Teilnahme möglich.

Referent:

Björn Hagemeier, JSC

Kontakt:

Björn Hagemeier

Head of ATML Data Management and Analytics and co-lead of division Large Scale Data Science

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

Gebäude 16.3 /
Raum 339

+49 2461/61-1584

E-Mail

Anmeldung:

Bitte melden Sie sich über das Anmeldeformular bis zum 7. Juni an.