JSC OpenStack training (Trainingskurs, online)
Björn Hagemeier
(Kurs-Nr. 1392024 im Trainingsprogramm 2024 des Forschungszentrums Jülich)
Der Kurs findet als Online-Veranstaltung statt. Der Link zur Online-Plattform wird nur den registrierten Teilnehmer:innen bekannt gegeben.
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
Advanced topics covered in the afternoon:
- Kubernetes
- Heat
- Load balancers
Voraussetzungen
Knowledge of basic Linux
Sprache:
Der Kurs wird auf Englisch gehalten.
Dauer:
5 Stunden
Zeit:
20 Februar 2024, 09:00-12:00 und 13:30-15:30 Uhr
Ort:
online
Referenten:
Sebastian Achilles, JSC
Prateek Gautam, JSC
Björn Hagemeier, JSC
Tim Kreuzer, JSC
Kontakt / Kurskoordinatior:
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)
Raum 339
Anmeldung:
Bitte melden Sie sich bis zum 13. Februar 2024 über das Anmeldeformular an.