Compare Cloud Services: AWS vs Azure vs Google vs IBM
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Transcript of Compare Cloud Services: AWS vs Azure vs Google vs IBM
![Page 1: Compare Cloud Services: AWS vs Azure vs Google vs IBM](https://reader033.fdocuments.us/reader033/viewer/2022061306/5a6496157f8b9a31568b5745/html5/thumbnails/1.jpg)
COMPARE CLOUD SERVICES:
AWS VS AZURE
VS GOOGLE VS IBM
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• Kim Weins
• VP Marketing, RightScale
• Bailey Caldwell
• VP Customer Success, RightScale
Panelists
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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.
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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
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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
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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
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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
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CLOUD COMPARISON TOOL
DEMO
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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
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Cloud Footprints Expanding: AWS
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Cloud Footprints Expanding: Google
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Cloud Footprints Expanding: Microsoft Azure
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• 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
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• 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
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Container-as-a-Service
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• 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
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• 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
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