Emind’s Architecture forEnterprise & AWS Integration

Lahav 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 References● Harvard 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 Platforms

● HPC Clusters

● Web Hosting

Integrations

● Billing and Accounting

● Networking

● Security

● Compliance

● Identity

● Applications stack

● Monitoring

● Usage analytics

● Automation

Managed Services Self Service

Billing & Accounting● Allow “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 & Connectivity● Seamless experience - ONE Network

○ Extend organization’s network to AWS

as an integrated data center

○ Full routable network

● Redundant and Scale

○ Direct-Connect

○ Highly Available VPN

○ IPSec Tunnels

Security● Unified 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 Stack● Seamless access to

organization’s tools library

○ Shared scripts and modules

○ Shared data sets

● Predefined instances

○ Integrated tools

○ Integrated authentication

● HPC Framework

○ StarCluster

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

Monitoring● Central Monitoring

Platform

● Dynamic Provisioning

● Predefined Templates

● Integrated Data Sources

○ Compute instances

○ AWS resources metrics

Usage Reports and Analytics● Analyse HPC resources

consumption

● Periodically collect

metrics

● Group by Cluster

● Report Hours vs. Jobs

Automation● Zero touch deployment

● CloudFormation

● AWS Service Catalog

● Auto Provisioning

● Just-in-time setup

Thank you.lahavs@emind.co

@lahavsavir