Univa provides distributed resource management systems and tools for running high-volume workloads in cloud environments. Their key product, Univa Grid Engine, optimizes resource usage across data centers. Their Unicloud product automates deployment and scaling of workloads on public clouds. The presentation discussed use cases for bursting workloads to the cloud and running hybrid on-premises/cloud clusters. It demonstrated Unicloud's capabilities and provided best practices for cloud projects, including focusing on a single use case and addressing all prerequisites before using Unicloud.

1. www.univa.com
Presenter:
Ian Lumb, Solutions Architect
RECORDING
High Volume Workloads:
How Smart Companies
are Harnessing the Cloud

2. Who is Univa?
2
www.univa.com

3. www.univa.com
Key Products & Technologies
Univa® Grid Engine® is the leading distributed
resource management system that optimizes
resources in thousands of data centers by
transparently selecting the resources that are
best suited for each segment of work.

4. www.univa.com
Univa Grid Engine add-ons

5. www.univa.com
Key Products & Technologies
A suite of products that enables enterprises to take full
advantage of Kubernetes and run containers at scale.
Superpowers for Kubernetes
navops.io

6. Customers Use-Cases
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Electronic
Design
Automation
Life Sciences
and
Healthcare
Financial
Services and
Banking
Oil and Gas Education Automotive
Mentor
Graphic
Merck
American
Express
Marathon
Oil
John
Hopkins
Sahara
Force India
Formula OneTM
Team
Synopsys Lilly
Danske
Bank
Saudi
Aramco
UCLA
Samsung CRG
BHF
Bank
Hess MIT
Marvell DLS PGS
Many of the leading brands in the world depend on Univa’s unsurpassed
expertise, premier services and global enterprise support.
www.univa.com

7. Univa Partners
7
www.univa.com
We partner with leading technology providers to deliver solutions that
maximize the value of existing computing resources and increase workload
throughput.
Cloud
Providers
ISV
Partners
Hardware
Partners
Technology and
Platform Partners
Industry
Organizations
AWS Synopsys Dell Docker
Cloud Native
Computing
Foundation
Google Cloud
Platform
Mentor
Graphics
ARM Kubernetes
The Linux
Foundation
Microsoft
Azure
Ansys Intel RedHat
Open Container
Initiative
OpenStack Jeppesen HPE Open HPC

8. www.univa.com
Presenter:
Ian Lumb, Solutions Architect
High Volume Workloads:
How Smart Companies
are Harnessing the Cloud

9. ❑Use cases
❑Cloud-enabling Grid Engine
❑Automating cloud use
❑Infrastructure services
❑Cloud workload visibility
❑Lessons learned and established best practices
Agenda
9
www.univa.com

10. www.univa.com
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Unicloud Overview
▪ Simple unified management of cloud servers
and clusters
▪ Support multiple use cases
▪ Burst
o Single cluster, master on-prem, cloud nodes
o Permanent Docker Registry, Storage, Application
and Univa cloud servers
▪ Hybrid – Single Cluster
o Single cluster, master on-prem, nodes on-prem &
cloud
o Permanent Docker Registry, Storage, Application
and Univa cloud servers
▪ Hybrid – Multiple Clusters
o Single cluster, master on-prem, nodes on-prem
o Multiple clusters in cloud
o Permanent Docker Registry, Storage, Application
and Univa cloud servers

11. www.univa.com
Unicloud Component Architecture

12. www.univa.com
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Burst Use Case
On-premise Infrastructure
Univa® Grid Engine®
Master
Edge Filer
Caching Filer
NAS Storage
Workload
Univa® Grid Engine®
Compute Instances
Cloud Storage
Apps
Univa
Docker
Registry
Cloud
API
UniCloud
Automation
Docker
Registry
Cloud

13. www.univa.com
Demo
Please refer to the webinar available at
http://www.univa.com/resources/webinar-unicloud.php to see the demo.

14. www.univa.com
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Use Case: Challenges & Solution
Challenges
▪ Reduce overall expenditures by deferring/reducing/eliminating on-
premise CapEx via cloud-based OpEx
▪ Reduce time-to-market, while improving quality, by sensibly
leveraging the cloud during peak usage periods
Solution
▪ Transparently enhance on-premise deployment of Univa Grid
Engine with additional compute capacity and capability from public
clouds in a hybrid cloud configuration
▪ Employ Univa Unicloud to automate deployment and scaling of a
customized software image on multiple types of instances/VMs in
public clouds based upon demand

15. www.univa.com
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LL/BPs – Non-Technical
▪ No two cloud projects are identical (!!!)
▪ Project management is critical
▪ Proactively manage scope, budget & schedule - even in PoCs!
▪ Factor in time to discuss proposed SoW(s) well ahead of on-
site, in-person efforts
▪ Sound business drivers are always key to making the case for cloud
computing
▪ Time-zone offsets can present opportunities and challenges
▪ Knowledge transfer can be a challenge

16. www.univa.com
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LL/BPs - Technical
▪ Data/storage services solutions present challenges/opportunities
▪ Getting interoperability permissions right takes time
▪ Availability of a test environment should be mandatory
▪ Focusing on a single application use case should be mandatory
▪ Quick starting UniCloud still requires all prerequisites are
addressed
▪ Incompatible package updates can stall progress
▪ Uniform DNS namespace requirements prove uncontentious in
practice
▪ CentOS 7.x requirements for the UniCloud installer node prove
uncontentious in practice

17. www.univa.com
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Granularity vs. Concurrency
https://www.usenix.org/system/files/login/articles/1182-lumb.pdf

18. ❑Use cases
❑Cloud-enabling Grid Engine
❑Automating cloud use
❑Infrastructure services
❑Cloud workload visibility
❑Lessons learned and established best practices
Agenda
18
www.univa.com

19. www.univa.com
THANK YOU
Ian Lumb
Solutions Architect
+1 647 478-5901 x
110
ilumb@univa.com