Emind’s Architecture for AWS Integration

Emind’s Architecture forEnterprise & AWS

IntegrationLahav Savir, Architect & CEO

Emind - Your Cloud Experts

Reduce wait time in queues.

Access to endless computation resources.

Easy scale-out of existing computational pipelines.

Collaboration of projects with external research institutions.

Enable access to the rich variety of cloud services.

Combined Self & Managed Service.

Reduce CAPEX.

Goals

Global ReferencesHarvard University -

http://huit.harvard.edu/services/harvard-cloud-services

University of Chicago - https://aws.amazon.com/solutions/case-studies/university-of-chicago/

University of New York - https://aws.amazon.com/solutions/case-studies/new-york-university/

Scope

Advanced Computing

Data PlatformsHPC ClustersWeb Hosting

Integrations

Billing and AccountingNetworkingSecurityComplianceIdentityApplications stackMonitoringUsage analyticsAutomation

Managed Services Self Service

Billing & AccountingAllow “Pre-Paid / Budget” payment

Controlled budget

Pay per use

Automated alerts and actions

Integration of the AWS billing with the organization’s internal billing

Seamless ordering / allocating budget

Seamless usage / consumption information

IdentityRemote Resources:

AWS Console

AWS API

AWS Network

EC2 Instances

SSO (Single-Sign-On) integration with Organization’s Idp

Authentication

Role Inheritance

Network & ConnectivitySeamless experience - ONE Network

Extend organization’s network to AWSas an integrated data center

Full routable network

Redundant and ScaleDirect-Connect

Highly Available VPN

IPSec Tunnels

SecurityUnified Policy Enforcement

Controlled network

Monitored in/out traffic

Network IPS

Role based resource access

Host Protection

Vulnerability Scanning

Host based IDS and FIM

Events Correlation and Alerting

Comprehensive Audit

Application StackSeamless access to

organization’s tools libraryShared scripts and modules

Shared data sets

Predefined instancesIntegrated tools

Integrated authentication

HPC FrameworkStarCluster

http://star.mit.edu/cluster/

MonitoringCentral Monitoring

PlatformDynamic ProvisioningPredefined TemplatesIntegrated Data

SourcesCompute instances

AWS resources metrics

Usage Reports and AnalyticsAnalyse HPC

resources consumption

Periodically collect metrics

Group by ClusterReport Hours vs. Jobs

AutomationZero touch deploymentCloudFormationAWS Service CatalogAuto ProvisioningJust-in-time setup

Thank you.lahavs@emind.co

@lahavsavir