Our customers are or will be multi-cloud (private and public). Cloud management platform and automation are part of the necessary arsenal supporting this strategy. A tool-centric approach is not sufficient, the heterogeneity of the cloud platforms and the specific value-added services proposed invites us to push further our reflection on the use of these tools to allow : the deployment of cloud native applications or not, application migration to the public cloud, and reversibility of these applications.

1. Automation and Release
Management at the heart of
Hybrid Cloud Strategy
Jerome Dorgueilh
SDDC COE Cloud Manager

2. 2
Capgemini CWIN 17 | September 2017
Copyright © Capgemini 2016 – Internal use only. All Rights Reserved
A new and polymorphic operation theater
Company that compete and thrive in an
era of continuous technology disruption
need to undertake a significant
transformation of the IT function that will
support a drastic increases in capability
and pace of delivery to foster innovation
whilst reducing cost
Doing the same
things better
Doing new things
Doing new things
that make the old
one obsolete
Cloud native
apps
Traditional
app
Private infra
Public infra

3. 3
Capgemini CWIN 17 | September 2017
Copyright © Capgemini 2016 – Internal use only. All Rights Reserved
Solving Infrastructure Provisionning issues
What do we want to achieve ?
Legacy
Private Cloud
Public
Cloud
Exhaustive list of all
components that are part of
the service
Instantiation sequence
Components
creation or
configuration
Approval
End user portal
Blueprints
Minutes vs
weeks
Delivery
 Support on the fly commissioning / decommissioning of any
application services on any resource pool from physical machine
to public cloud
 By design support of any hybridization mechanisms at
infrastructure or application level
 By design reversibility support through the use of application
blueprints
 Embedded security in blueprints and resources orchestrations
 Reduce costs, Reduce defect by 30 to 70%; deploy in minutes not
weeks

4. 4
Capgemini CWIN 17 | September 2017
Copyright © Capgemini 2016 – Internal use only. All Rights Reserved
Example of service design
Front End
Object
Storage
VM Scaling
Group
Load
Balancer
Virtual
Machine
Container
Scaling
Group
Container
Load
Balancer
Back End
Service
Data
SQL
Database
Cloud Privé
Puppet
Monitoring
AWS EC2
Puppet
LogicMonitor

5. 5
Capgemini CWIN 17 | September 2017
Copyright © Capgemini 2016 – Internal use only. All Rights Reserved
Solving Application Release Automation issue
What do we want to achieve ?
Test
Public Cloud
Non-remanent
Production
Traditional infra
Remanent
Performance
Private Cloud
Non-remanent
ProductionDevelopment
Test Ok
Test Ok
App up
App up
App up
 Standardized release process that enable
end-to-end pipeline visibility and reduce
Risk & Errors
 Consistent application deployment on any
resource pool through commissioning /
decommissioning capabilities of the CMP
 Reduce the time to release software from
months down to days, or even hours.
 Release software 10-20X more quickly.
 improves quality moving from multiple
production incidents with every release
down to only a few incidents a year

6. 6
Capgemini CWIN 17 | September 2017
Copyright © Capgemini 2016 – Internal use only. All Rights Reserved
How do we proceed ?
Run
supervision, backup,
DNS, assets, CMDB …
Application
web sever, apps
servers, DB…
Traditional infrastructure Cloud native infrastructure (PaaS)
Provision
Dev > Test > Prod
Application Release Automation
Infrastructure Provisioning Automation

7. 7
Capgemini CWIN 17 | September 2017
Copyright © Capgemini 2016 – Internal use only. All Rights Reserved
Solving Moving to the Cloud issues
What do we want to achieve ?
Need to understand and
sort out the portfolio and
to map the path to the
Target with:
• A Standard
deployment model
• A Secured
Architecture
• A Flexible migration
approach
Needs to have an end to
end automated Apps &
Infra, multi-cloud service
management
Migration need to take into account
all the key application and
infrastructure dimension in the multi-
modal + multi-speed new contexte
Quality
Pace & speed
Security
Portability
Financial efficiency
Customer centric
Service Catalog
Run integration
MW & DB
deployment

8. 8
Capgemini CWIN 17 | September 2017
Copyright © Capgemini 2016 – Internal use only. All Rights Reserved
Key concepts
Datacenter
Quality
Pace & speed
Security
Portability
Financial efficiency
Servers
Applications
Key KPI’s

9. 9
Capgemini CWIN 17 | September 2017
Copyright © Capgemini 2016 – Internal use only. All Rights Reserved
Key concepts
Data Center Toto
Re-host Re-platform
Blueprinting effort
Public Cloud
deployment
Managed
Private Cloud
deployment
Hybrid
deployment
Data center
deployment
Cloud Management PlatformBlueprint Toto
Internal
CMDB
Billing
Workload
Placement
&
Cost Opt.
Dashboard
plan code build test release deploy operate
Security
By design