© 2015, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

Gaurav Manglik: Co-Founder, CEO

October 2015

ISM319

The Three Degrees of Freedom on the Cloudand

How an Application-Defined, Model-Based Approach Can Help

Traditional Datacenter

• Manually configure

• Manually tune

• Manually maintain

For every:

• Application

• Infrastructure configuration

• Change over time

• Software-defined datacenter

Compute

Storage

Network

• Drives infrastructure efficiencies

• Still leaves gap between

infrastructure and application

APIs… SDx

Software-Defined Datacenters Are Not Sufficient

Application Workloads Are Growing200M workloads

5,000 - 10,000 applications/global 2000 enterprise

Application Rate of Change Is Increasing

Source 2013 State of DevOps Report

Puppet Labs, IT Revolution Press

Top Performers30x more frequent

code deployments

Of those with DevOps

implemented > 12 month:

More than 25% can

deploy on demand

Number of Execution Venues Is Growing

54,872*

Example:

Possible combinations to deploy

a 3-tier application on AWS

assuming 38 instance types

* Actual possible options can be much higher

Single Cloud – ApplicationFind the “knee” to optimize value

45

50

55

60

65

70

$0.00 $2.00 $4.00 $6.00

Instance Web Tier App Tier DB Tier

M1.Sm M1.Med M1.Med

M1.Med M1.Med M1.Sm

Baseline M1.Med M1.Med M1.Med

M1.XL M1.Med M1.Med

Optimal M1.Med M1.XL M1.Sm

M1.Med M2.4XL M1.Med

Cost per hour ($)

Requests

per

second

• Optimal – Smaller DB tier, larger app tier

• Is 5 requests per second worth

going from $0.5 to $1.5 per hour?

PetClinic – Three-tier web application

Single Cloud – Batch JobFind the “knee” to optimize value

Instance Size

C3.8XL

C3.4XL

Optimal C3.2XL

C3.XL

Job time minutes

Job c

ost ($

)

• Note – Optimization limited by AWS

per-hour minimum charge

Blender – 5 task rendering job

$0.00

$0.50

$1.00

$1.50

$2.00

$2.50

$3.00

20 25 30 35

Global average

use 4 cloud platforms

+

1 out of 8

use 7+ cloud platforms

Cloud Reality Check 2015Report from NTT Communications

1,600 ICT decision makers across the USA and Europe

January and February 2015

80% expect that number

to increase in next 3 years

Three Degrees of Freedom

1. Growth in applications

2. Growth and diversification in

infrastructure environments

3. Changes in either or both the

applications or infrastructure

create work and inefficiencies

Traditional automation approaches

do not scale with the increasing

complexity

Example Three-Tier Web Application

SAMPLE DEPLOYMENT WORKFLOW

1. Launch DB VM Instance

2. Mount Persistence Storage

3. Configure DB VM Security Groups

4. Launch AS VM Instance

5. Configure AS VM Security Groups

6. Launch LB VM Instance

7. Configure LB VM Security Groups

8. On DB VM, Install DB Server

9. On DB VM, Start DB

10. On DB VM, Load DB

11. Wait for Success

12. Obtain DB information

13. On AS VM, Change DB Settings

14. On AS VM Load Application

15. On AS VM, Start AS

16. Wait for Success

17. Obtain AS Information

18. On LB VM, Change LB Connection Settings

19. On LB Start LB

LB

AS

DB

Infrastructure Requirements May Change

SAMPLE DEPLOYMENT WORKFLOW

1. Launch DB VM Instance

2. Mount Persistence Storage

3. Configure DB VM Security Groups

4. Launch AS VM Instance

5. Configure AS VM Security Groups

6. Launch LB VM Instance

7. Configure LB VM Security Groups

8. On DB VM, Install DB Server

9. On DB VM, Start DB

10. On DB VM, Load DB

11. Wait for Success

12. Obtain DB information

13. On AS VM, Change DB Settings

14. On AS VM Load Application

15. On AS VM, Start AS

16. Wait for Success

17. Obtain AS Information

18. On LB VM, Change LB Connection Settings

19. On LB Start LB

LB

AS

DB

Application May Change

SAMPLE DEPLOYMENT WORKFLOW

1. Launch DB VM Instance

2. Mount Persistence Storage

3. Configure DB VM Security Groups

4. Launch AS VM Instance

5. Configure AS VM Security Groups

6. Launch LB VM Instance

7. Configure LB VM Security Groups

8. On DB VM, Install DB Server

9. On DB VM, Start DB

10. On DB VM, Load DB

11. Wait for Success

12. Obtain DB information

13. On AS VM, Change DB Settings

14. On AS VM Load Application

15. On AS VM, Start AS

16. Wait for Success

17. Obtain AS Information

18. On LB VM, Change LB Connection Settings

19. On LB Start LB

LB

AS

DB

Changes Can Get Complicated

SAMPLE DEPLOYMENT WORKFLOW

1. Launch DB VM Instance

2. Mount Persistence Storage

3. Configure DB VM Security Groups

4. Launch AS VM Instance

5. Configure AS VM Security Groups

6. Launch LB VM Instance

7. Configure LB VM Security Groups

8. On DB VM, Install DB Server

9. On DB VM, Start DB

10. On DB VM, Load DB

11. Wait for Success

12. Obtain DB information

13. On AS VM, Change DB Settings

14. On AS VM Load Application

15. On AS VM, Start AS

16. Wait for Success

17. Obtain AS Information

18. On LB VM, Change LB Connection Settings

19. On LB Start LB

LB

AS

DB

Cache

DB-2

Consider an Application Blueprint/Model-Based Approach

On

eH

yb

rid

Deploy Lifecycle

• Scripts

Everything scripted. Stage. Cloud

Infrastructure focused

Environment specific

Labor intensive

• Orchestrators/Workflows

More efficient than scripting

Infrastructure focused

Environment specific

Lifecycle management

• PaaS

Application focused, multiple clouds

But less flexibility and customization

• Application Models/Blueprints

One platform, profile portability

Manageable ManageabilityC

loud s

upport

PaaS

Scripts Orchestrators

Application-defined

Application Model–Based Approaches

• Define reusable services E.g. PaaS – Elastic Load Balancing, Amazon RDS, etc.

VM base image–based

• Services capture Service-specific requirements

Service lifecycle scripts

Parameterize infrastructure choices

Infrastructure requirements (but not choices)

• Application models become service topologies With dependency graph

Abstracted from infrastructure choices

Reusable building blocks (services)

Select Infrastructure Choices at

Deployment Time

Example Three-Tier Web Application

SAMPLE APPLICATION BLUEPRINT STEPS

1. DRAG AND DROP DB

2. POINT TO DB SETUP

3. DRAG AND DROP AS

4. POINT TO APP PACKAGE

5. Connect AS to DB

6. DRAG AND DROP LB

7. Connect LB to AS

LB

AS

DBActual workflow gets automatically generated as you

“peel” the services

Benefits

SAMPLE APPLICATION BLUEPRINT STEPS

1. DRAG AND DROP DB

2. POINT TO DB SETUP

3. DRAG AND DROP AS

4. POINT TO APP PACKAGE

5. Connect AS to DB

6. DRAG AND DROP LB

7. Connect LB to AS

1. Rapidly create new models as

number of applications

increases

2. Infrastructure options flexible

3. Change either easily

Get to AWS Faster

90 minutes

vs.

3 weeks

Granular

control

Agility vs. ControlDo IT fast vs. do IT right

Run IT like a business

- Plan and execute

- Stability value

- Maximize control Run IT like a startup

- Sense and respond

- Speed and scale value

- Well-defined guardrails

Era of

Application

Velocity

Control access

DemonstrationCliQr as an Example of Model-Based Approaches

Thank you!

www.cliqr.com

Remember to complete

your evaluations!