COMPARE CLOUD SERVICES:

AWS VS AZURE

VS GOOGLE VS IBM

• Kim Weins

• VP Marketing, RightScale

• Bailey Caldwell

• VP Customer Success, RightScale

Panelists

RightScale

Cloud Management Platform

Orchestrate, automate and govern applications

across any cloud, any server, and any container

Two Solutions from RightScale

VIRTUAL

SERVERS

PUBLIC

CLOUDS

IAAS+/PAAS

SERVICES

PRIVATE

CLOUDS

BARE METAL

SERVERS

CONTAINER

CLUSTERS

User access controls and governance

Governance

MULTI-CLOUD ORCHESTRATION

RightScale

Optima

Work collaboratively with business units and

resource owners to reduce wasted cloud spend.

Optima

Cost management and

collaborative optimization

RightScale CMP Solution

VIRTUAL

SERVERS

PUBLIC

CLOUDS

IAAS+/PAAS

SERVICES

PRIVATE

CLOUDS

BARE METAL

SERVERS

CONTAINER

CLUSTERS

RightScale Cloud Management Platform

User access controls and governance

Governance

Cloud Management

Multi-cloud visibility,

automation, and operations

Self-Service

Catalog of templates and

automated provisioning

MULTI-CLOUD ORCHESTRATION

2%

3%

8%

15%

34%

57%

5%

7%

9%

17%

21%

17%

4%

8%

8%

13%

12%

10%

DigitalOcean

Oracle Cloud

IBM

Google Cloud

Azure

AWS

Public Cloud Adoption % of Respondents Running Applications

Running apps

Experimenting

Plan to use

Public Cloud Adoption – All Respondents

Source: RightScale 2017 State of the Cloud Report

5%

4%

7%

10%

20%

57%

2%

3%

8%

15%

34%

57%

DigitalOcean

Oracle Cloud

IBM

Google Cloud

Azure

AWS

Public Cloud Adoption 2017 vs. 2016 % of Respondents Running Applications

2017

2016

Public Cloud Adoption YoY – All Respondents

Source: RightScale 2017 State of the Cloud Report

11%

12%

12%

14%

14%

15%

18%

21%

21%

22%

23%

26%

26%

27%

32%

35%

18%

18%

13%

12%

22%

12%

17%

12%

12%

14%

17%

11%

14%

13%

11%

14%

16%

15%

16%

15%

19%

12%

12%

14%

13%

15%

11%

12%

15%

10%

11%

12%

Machine Learning

IoT Services

Function-as-a-Service

DRaaS

Container-as-a-Service

Stream Processing

Hadoop

Search

Batch

Data Warehouse

No SQL DBaaS

Queuing

Mobile Services

Caching

Push Notifications

Relational DBaaS

Public Cloud Services Used % of Respondents

Use today

Experimenting

Plan to use

Public Cloud Services Used – All Respondents

Source: RightScale 2017 State of the Cloud Report

CLOUD COMPARISON TOOL

DEMO

AWS Google IBM Microsoft

Azure

Instance X1.32xlarge n1-highmem-64 Customizable M128S

vCPUs 128 64 56 128

Mem (GiB) 1952 416 242 2000

Local SSD 2x1920 GB Additional cost Customizable 4000 GiB

Cost $19.341 /hr $3.7888 /hr $2.544 /hr $13.34 /hr

Comparing Big Instances

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• AWS – Basic, Developer, Business and Enterprise

• All different SLA’s and capabilities

• Pricing is % of spend

• Google – Gold, Silver, Platinum

• All different SLA’s and capabilities

• Pricing is % of spend

• Moving to Role Based support in 2017…flat fees, per user per month

• IBM BlueMix – Free, Basic, Standard, Premium

• All different SLA’s and capabilities

• Pricing is % of spend

• Azure – Developer, Standard, Pro. Direct, Premier • Flat Fee

• Premier is custom

Support Services and SLA’s

9

Cloud Footprints Expanding: AWS

10

Cloud Footprints Expanding: Google

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Cloud Footprints Expanding: Microsoft Azure

12

• AWS Spot Instances

• Bid based on instance type and AZ; each is a different “market”

• Pay price based on last fulfilled bid

• Instances can be shut down when market goes above your bid

• Google Preemptible VMs

• Set prices, 80% cheaper than on-demand

• May be shutdown at any time

• Always shutdown after 24 hours

• Azure Low-Priority VMs (Preview)

• Set prices, 80+% cheaper than on-demand

• May be shut down at any time

• Only available as part of Azure Batch initially

Temporary Instances

13

• Amazon Aurora

• MySQL compatible and PostgreSQL in preview

• Provide as a fully managed service very low cost

• Google Cloud Spanner

• Relational with NoSQL performance

• Massively scale across data centers

• IBM’s DB2 on Cloud

• Provisioned on dedicated instances

• Azure Cosmos DB

• NoSQL Globally distributed, Multi-Model (various interface APIs)

• SLA’s on uptime, performance, latency and consistency

Relational Custom DBs and NoSQL

14

Container-as-a-Service

15

• AWS Elastic Container Service (ECS)

• Proprietary scheduler

• Google Container Engine (GKE)

• Kubernetes scheduler

• IBM Bluemix Container Services

• Kubernetes scheduler

• Azure Container Service

• Choose your container service

• DC/OS, Docker Swarm, Kubernetes

• AWS Lambda

• Continuous scale (right sized by automatically)

• Leverage other AWS services in your application

• Google Cloud Functions – beta

• Fewer functions, but evolving

• IBM OpenWhisk

• Apache opensource

• Azure Functions

• Integrates with other services (Box, Dropbox, MS OneDrive…)

Serverless - Functions as a Service (FaaS)

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• AWS Reserved Instances

• By instance family/(size), region/(AZ), OS

• 1 year, 3 year; No Upfront, Partial Upfront, All Upfront

• Google Committed Use Discounts

• # of CPUs, GB of RAM

• 1 year, 3 year; No Upfront

• Also Sustained Use Discount – automatic discounts

• Azure Compute Pre-purchase Program (must have EA)

• 1 year; All Upfront

• By datacenter, instance family/size

• 744 hrs for the month

• Can use 1 instance for the month or 744 instances for 1 hr or any combo

Discount Options

17

• To learn more, email sales@rightscale.com

Q&A

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