Teraproc Customer Presentation

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Application Cluster-as-a-Service

Customer Presentation

Copyright 2015 Teraproc Inc. All rights reserved

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


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:


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


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


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


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


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


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


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?


Thank you!www.teraproc.com

Cluster-as-a-Service

Demonstration



Create your free account at rcluster.teraproc.com


Once signed in, create your application cluster


Choose from machine types at a variety of price points

including free


Provide your Amazon credentials to access your

AWS EC2 account


For added savings, name your price and use AWS spot instances


create your cluster



Your cluster is ready to use


Details of the running cluster are shown in the

web interface


Scale the number of nodes while the cluster is running


We add 8 nodes to our 3 node cluster



8 nodes are added with cluster services re-

configured accordingly


Changes are reflected automatically in our

AWS account


Access R Studio via the provided URL


Login with credentials provided when the cluster

is defined


Users enter the familiar R Studio environment – identical to what

runs on a desktop or laptop


Ready-to-run code examples show how to extend R to use the

Teraproc cluster


Optionally access the OpenLavacommand line to launch, monitor and

manage cluster workloads


When finished, stop the cluster to avoid charges


The Teraproc portal shows the state of the cluster(s)


There is no need to manage machines in EC2

– this is automatic


Restart the cluster in future, and resume where

you left off

Additional Slideswww.teraproc.com

R Cluster-as-a-service Architecture

Application Cluster Manager

User/role changenotification

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

LDA

P

Mas

ter

Shared File system (NFS, HDFS, Lustre)

MASTER MACHINE INSTANCE

OpenLava Agent


OpenMPI

LDA

PC

lien

t


CLIENT MACHINE INSTANCES

Web GUI Service

R Cluster

R Studio (iPython Notebook / R Cloud)

OpenLava Resource Manager


OpenMPI

LDA

P

Mas

ter



OpenLava Agent


OpenMPI

LDA

PC

lien

t



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

R Analysis Platform-as-a-Service

User/role changenotification

Authentication/AuthorizationNotificationOperation

User/Account

ManagerApplication Cluster Manager

Credential Mgr

Monitoring

App Template Mgr

Operations

IaaS Adapters

Notification Operation

iPython Notebook

OpenLava

R Script R ScriptOpenMPI

HBASE



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 NotificationGoogle Auth

Facebook Auth

Private Auth

Slider Slider

YARN

Slider

Spark/R

Slider

Map/R

Slider Au

to-s

cale

Man

ager OpenLava Agent

R Script R Script

HBASE


Slider Slider

YARN

Slider

Spark/R

Slider

Map/R

Slider

OpenMPI


R/Hadoop Cluster Additional R/Hadoop Cluster instances

Technology

Teraproc Customer Presentation