This KB article provides general information on what compute resources are available as part of the LASER service provision. These can be VM models, Storage options, SQL instance (list is not exhaustive) that can be made available within a Virtual Research Environment (VRE) for their research project type.
The new service is called LASER (Leeds Analytics Secure Environment for Research) which is a PaaS cloud based service on the Microsoft Azure platform.
The new LASER service (currently IRC - Integrated Research Campus) has been developed as part of the Microsoft's Azure PaaS platform to support the various research activities undertaken by the LIDA's Research community.
The Virtual Research Environment (VRE) will consist of a pool of Virtual Machines (VMs) and other additional azure compute resources.
Available VM models and other compute resource options are offered such as Shared Storage and SQL database, Web Apps, Network resources, to meet the needs of most research projects are displayed in Table 1 below. However, additional VM options are available upon request to meet higher demanding research projects. Cost of VMs and components can change hence not shown in the table. In this case, the word compute refers to the hosting model for the computing resources that your application runs on.
Additional information on compute resources can be observed at the Microsoft Azure website: https://azure.microsoft.com/en-gb/services/virtual-machines/
Microsoft's Azure Price calculator is also available : Pricing calculator | Microsoft Azure
Please consult with the LASER DAT team to discuss your initial Virtual Research Environment (VRE) project requirements and costing models. The DAT team will make further enquires on your behalf as well as submitting your requirements to IT Services to commence VRE builds and or changes to your existing VRE VM environments.
Table 1: Illustration: Available VM models and options offered to the Research group.
Nothing is set in stone in Azure as Microsoft will change the models specifications and pricing structure at short notice over time, so everything is based upon expectations! These will be reviewed each year and reassess whether we are able to change the model set to support the changing project requirements?
If you have any further queries or require further information, please consult with the LIDA's Data Analytics Team (DAT) in the first instance to discuss your initial VRE project requirements. The DAT team will make further enquires on your behalf as well as submitting your requirements, subject to approval, to IT Services to commence VRE builds and or changes to your existing VRE VM environments.
More information is available on the LIDA's documentation site.
You may also wish to discuss further options by raising a Service Request for the Service Delivery Management team.