An overview of Teraproc cluster-as-a-service offerings for high-performance distributed analytics. This overview presentation includes a step-by-step demonstration of the process of deploying a ready-to-run R Studio cluster environment on Amazon Web Services. More information available at http://teraproc.com

1. Click to edit Master title style
Application Cluster-as-a-Service
Customer Presentation
Copyright 2015 Teraproc Inc. All rights reserved

2. About Teraproc
Canadian software company
Locations in Toronto, USA & China
Founders with extensive experience in HPC,
cloud and big data infrastructure
Deep technical skills
Active open-source committers
Cloud-based, high-performance cluster-as-a-
service platforms for a variety of industries
and applications
Copyright 2015 Teraproc Inc. All rights reserved

3. Customer Challenges
Clusters can be hard to deploy and manage
Special skills often required
Many discrete, specialized components
Cloud providers often provide infrastructure only
Even in the cloud, clusters can be costly & complex
Many workloads benefit from distributed clusters, but:
Copyright 2015 Teraproc Inc. All rights reserved

4. Teraproc Cluster-as-a-Service
No infrastructure needed
Deploys in minutes
No special skills
All components pre-integrated, ready-to-run
Cost effective
Cloud-based clusters for a range of application workloads
Copyright 2015 Teraproc Inc. All rights reserved

5. Teraproc Offerings
Teraproc R Analytics Cluster-as-a-Service
 A complete ready-to-run R environment in the cloud
 Pre-integrated with open-source tools & parallel frameworks
Teraproc HPC Application Cluster-as-a-Service
 Turnkey cluster supporting a variety of application workloads
 Pre-configured with workload management, MPI and more
Teraproc Cloud Manager
 Designed to provision and manage private cloud environment
 Deploy physical or virtual infrastructure with your choice of hypervisor
Teraproc OpenLava
 Open-source, Platform LSF compatible workload manager
 Deploy on-premises or on your choice of cloud platform
Copyright 2015 Teraproc Inc. All rights reserved

6. Teraproc R Cluster-as-a-Service
 No infrastructure needed
 Includes R, R Studio Server, Shiny and a wealth of
R packages and components
 Integrated with OpenLava, OpenMPI, BatchJobs
and Rmpi for easy parallel deployment
 GPU support for added performance
 Amazon spot pricing support for reduced costs
 Free for use on Amazon free tier instances*
* Maximum free cluster size of three nodes
Scalable R clusters – you do the science, we do the rest
Linux Operating Environment
AMIAMIAMIAMIAMI
NFS File System Amazon S3
Openlava workload manager
MPI, R Libraries, Rmpi, RBatchJob
Auto-configured OS services
R user portal
R Studio Shiny CRAN
Reduce run-time, save costs,
avoid complexity
Copyright 2015 Teraproc Inc. All rights reserved

7. Teraproc HPC Cluster-as-a-Service
 Leverage hundreds of existing application integrations with
Platform LSF compatible workload management
 Support serial jobs, arrays, MPI parallel workloads
 Multi-user, multi-application clusters
 CAE/CFD, electronics, life sciences & financial risk
 Clusters deployed in minutes with integrated scheduler, MPI &
shared file system optimized for performance
 Scale on demand, leverage spot pricing
 Ensure service levels with OpenLava features including resource
sharing and preemptive scheduling
Scalable clusters for design & simulation HPC workloads
Copyright 2015 Teraproc Inc. All rights reserved

8. Teraproc Cloud Manager
 Easy-to-use management software for private cloud computing
environments
 Quickly provision virtual and bare-metal infrastructure
 Your choice of Hypervisor & container technologies – KVM,
VMware, LXC, OpenStack & more
 Self-service user catalog
 Policy-based tenant management, service-level management
Simple, affordable, on-premises cloud management
Improve service-levels, boost
utilization, reduce costs
Copyright 2015 Teraproc Inc. All rights reserved

9. Teraproc OpenLava
 Platform LSF compatible open-source scheduler
 Free to use on-premises or in the cloud
 Enhanced installation & documentation
 Many enterprise features:
• Cloud-friendly auto-scaling, fairshare scheduling, job
pre-emption, job arrays
 Teraproc OpenLava Support program
 Top quality support backed by product developers
Open-source workload management
Copyright 2015 Teraproc Inc. All rights reserved

10. Delivering business value
Complete, ready-to-run environment
Deploys in minutes with no special skills
Highly cost-effective
100% open-source – no lock-in
Flexible deployment – on cloud, on premises
Free Development Clusters
High-quality technical support
Why Teraproc?
Copyright 2015 Teraproc Inc. All rights reserved

11. Thank you!
www.teraproc.com

12. Cluster-as-a-Service
Demonstration
Copyright 2015 Teraproc Inc. All rights reserved

13. Teraproc R Cluster-as-a-Service
Create your free account at
rcluster.teraproc.com

14. Teraproc R Cluster-as-a-Service
Once signed in, create your
application cluster

15. Teraproc R Cluster-as-a-Service
Choose from machine types at
a variety of price points
including free

16. Teraproc R Cluster-as-a-Service
Provide your Amazon
credentials to access your
AWS EC2 account

17. Teraproc R Cluster-as-a-Service
For added savings, name your price
and use AWS spot instances

18. Teraproc R Cluster-as-a-Service
create your cluster

19. Teraproc R Cluster-as-a-Service

20. Teraproc R Cluster-as-a-Service
Your cluster is
ready to use

21. Teraproc R Cluster-as-a-Service
Details of the running
cluster are shown in the
web interface

22. Teraproc R Cluster-as-a-Service
Scale the number of nodes
while the cluster is running

23. Teraproc R Cluster-as-a-Service
We add 8 nodes to
our 3 node cluster

24. Teraproc R Cluster-as-a-Service

25. Teraproc R Cluster-as-a-Service
8 nodes are added with
cluster services re-
configured accordingly

26. Teraproc R Cluster-as-a-Service
Changes are reflected
automatically in our
AWS account

27. Teraproc R Cluster-as-a-Service
Access R Studio via
the provided URL

28. Teraproc R Cluster-as-a-Service
Login with credentials
provided when the cluster
is defined

29. Teraproc R Cluster-as-a-Service
Users enter the familiar R Studio
environment – identical to what
runs on a desktop or laptop

30. Teraproc R Cluster-as-a-Service
Ready-to-run code examples
show how to extend R to use the
Teraproc cluster

31. Teraproc R Cluster-as-a-Service
Optionally access the OpenLava
command line to launch, monitor and
manage cluster workloads

32. Teraproc R Cluster-as-a-Service
When finished, stop the
cluster to avoid charges

33. Teraproc R Cluster-as-a-Service
The Teraproc portal shows
the state of the cluster(s)

34. Teraproc R Cluster-as-a-Service
There is no need to
manage machines in EC2
– this is automatic

35. Teraproc R Cluster-as-a-Service
Restart the cluster in
future, and resume where
you left off

36. Additional Slides
www.teraproc.com

37. R Cluster-as-a-service Architecture
Application Cluster Manager
User/role change
notification
Authentication/AuthorizationNotificationOperation
User/Account
Manager
Credential Manager
Monitoring
Application Template Mgr
Operations
IaaS Adapters
NotificationOperation
R Cluster
R Studio (iPython Notebook / R Cloud)
OpenLava Resource Manager
R Script R Script R Script
OpenMPI
LDAP
Master
Shared File system (NFS, HDFS, Lustre)
MASTER MACHINE INSTANCE
OpenLava Agent
R Script R Script R Script
OpenMPI
LDAP
Client
Shared File system (NFS, HDFS, Lustre)
CLIENT MACHINE INSTANCES
Web GUI Service
R Cluster
R Studio (iPython Notebook / R Cloud)
OpenLava Resource Manager
R Script R Script R Script
OpenMPI
LDAP
Master
Shared File system (NFS, HDFS, Lustre)
MASTER MACHINE INSTANCE
OpenLava Agent
R Script R Script R Script
OpenMPI
LDAP
Client
Shared File system (NFS, HDFS, Lustre)
CLIENT MACHINE INSTANCES
R Cluster-as-a-service Portal R Cluster-as-a-service architecture
supports multiple, multi-user
tenants, each with multiple
deployed clusters that can flex
dynamically and take advantage of
spot pricing

38. R Analysis Platform-as-a-Service
User/role change
notification
Authentication/Authorization
NotificationOperation
User/Account
ManagerApplication Cluster Manager
Credential Mgr
Monitoring
App Template Mgr
Operations
IaaS Adapters
Notification Operation
iPython Notebook
OpenLava
R Script R Script
OpenMPI
HBASE
Shared File system (NFS, HDFS, Lustre)
MASTER MACHINE INSTANCE
Web GUI Service
R Analysis Platform Portal R Analysis Platform-as-a-
service architecture
extends the cluster-as-a-
service architecture
supporting Hadoop,
Spark, YARN, Slider,
Policy-based scaling and
external authnetication
iPython Notebook
Auto-scale Manager
Metrics
Planner
Policy
Action
External authentication (Google,
Facebook etc.)
Operation Notification
Google Auth
Facebook Auth
Private Auth
Slider Slider
YARN
Slider
Spark/R
Slider
Map/R
Slider
Auto-scaleManager
OpenLava Agent
R Script R Script
HBASE
Shared File system (NFS, HDFS, Lustre)
Slider Slider
YARN
Slider
Spark/R
Slider
Map/R
Slider
OpenMPI
CLIENT MACHINE INSTANCES
R/Hadoop Cluster Additional R/Hadoop Cluster instances