AE foyer: From Server Virtualization to Hybrid Cloud

Company confidential – Do not distribute without notice ©AE 2014  1
Fromservervirtualization
tohybridcloud
How to benefit from
a successful implementation
18/06
Matthias Pyck
Principal Consultant ALM & Cloud

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Introduction
SETTING THE SCENE

ae nv/sa
Interleuvenlaan 27b, B-3001 Heverlee
T +32 16 39 30 60 - F +32 16 39 30 70
www.ae.be
From server virtualization
to Hybrid Cloud
Matthias Pyck
Principal Consultant, AE
matthias.pyck@ae.be

The question is:
What is clouding? The question is:
Who cares?!

To Cloud Or Not To Cloud?
That Is NOT The Question!

Goals
 Having better insight of the Cloud & the challenges
 Understand the drivers, trends & consequences of virtualization
 Share our vision and experience with Private & Hybrid Cloud
 Harvest ideas, examples & technology possibilities
 Retain some do’s & don’ts
 Feel free to ask your questions as session progresses

Agenda
 Trends – Food for Thought
 Are we “Clouding”?
 How to get in the “Cloud”?
 Q&A

2014 CIO Technology Priorities (Gartner)
Source: Gartner

Clouding or Cloudy? (Gartner)
Source: Gartner

The Hypes of 2012 (Gartner)

The Hypes of 2013 (Gartner)

The “Enlightened”
 Infrastructure as a Service (IaaS)
 Provides elastic infrastructure (often virtual)
 Composed by servers, network & storage components
 Software as a Service (SaaS)
 Service provider delivers Applications
 Merely modern web based user interfaces (html5, ajax, …)
 Compliant with most of the current devices (pc, tablet, phone, …)
 Cloud/Web platforms
 Technologies to provide programmatic access to functionality on the Cloud/Web
(technology, business, community, …)
 Also related to Provisioning, Storage & Computer power

Those “Crystalizing”
 Platform as a Service (PaaS)
 Offers (middleware) services through which applications can be structured &
integrated (e.g. identity & access management, portal functionalities, integration
capabilities, …).
 Private Cloud Computing
 Organization completely isolated from others
 Real Time Infrastructure (RTI)
 SLA driven, dynamic allocation and optimization of IT resources
 Elasticity, functionality and dynamic optimization and tuning of the runtime
environment based on policies and principles
 Elastic Multi-tenancy
 A common computer environment with logical isolation of the different
applications (tenants)

Challenge : Diversity for Disruption
Cloud Services
Skill shifts
Reduced
budgets
24/7
Shorter
development
times
Complexity
growth
Faster change
cycles

The Critical Success Factors
Source: Gartner 2014

Agenda
 Q&A

Are You Already in Cloud Computing Model?
 <You are> if the answer is “Yes” to the following 4 questions:
 Do you think about your resources (servers, storage, networking) in a pooled
fashion rather than as individual entities?
 Can you provide elasticity in services and applications, so that they can expand
with demand and contract when it goes away?
 Can you track usage so that you can show back or charge back to users, or user
departments, the compute power they are using?
 Have your end users self provisioning capabilities?

Typical Current Situation

Real Numbers (Overview)

Real Numbers (Zoom)

The Real Process

The Real Assets

N° of participants for server intake

TCO is a lot more than Purchase price

Operational Debt defined (by Gartner)
 Not adopting infrastructure and operations standards due to a lack of architectural
blueprints resulting in higher costs of technical support as well as potentially lower
service quality, as sufficient resources may be unable to be spread across
heterogeneous environments.
 Continuing to perform manual operations and not implement automated workflows
that could result in higher personnel costs.
 Downplaying capacity planning, which could result in unnecessary hardware, software
or services procurement, plus new labor costs to support the new infrastructure.
 Neglecting to document the infrastructure because of lack of resources resulting in
increased mean time to diagnose potential problems.
 Failing to invest in training and education that could result in poorly performed work
due to low morale issues.

Agenda
 Q&A

Today
 A multitude of variations in set-up
 Setting up infrastructure is primarily manually, undocumented and only in the minds of
the people
 Large number of people involved in installations
 Diverse application & infrastructure portfolio
 Diversity of infrastructure components (hardware, networking, storage, ...)
 Diversity of middleware
 Diversity of frameworks
 Diversity of …
 Who knows what is true and what is running?
 A problem of repeatability in the design and deployment of infrastructure
components across environments around
 A problem of predictability: nothing is what it seems to be
 Do we make best use of our hardware, licenses and facilities?
 A call that the Cloud will resolve all our problems
 High Operational Debt

Were we want to get
 Infrastructural consistency across environment & applications
 (Dev, QA, …, Prod)
 Very fast (de)provisioning (hours versus days) of infrastructure & operations
 Reduce operational debt
 SLA based Service models in place:
 Serviced
 Self-Service
 Automated Serviced (elasticity)
 Pay for the time a server is required.
 Freedom of
 Location
 Cloud provider
 Outsource Partnerships
 Software stack in line with the market
 (example: JBoss common, weblogic rare)

Vision
Server
Virtualization
Industrialized
Operations
Private Cloud
Self Service
Serviced -
Automated Serviced
Hybrid Cloud
€ are driving
OperationsMaturity
CompanyMaturity
Operations
AsaService
Operationsasa
business
“Metal in-
house”
Elasticity/Agility
is driving
D
Y
N
A
M
IC
I
N
F
R
A
S
T
R
U
C
T
U
R
E
Stable situation

Phased approach
Server Virtualization
Industrialized Operations
Private Cloud
Hybrid Cloud
Manual
(De)provisioning
Automated
(De)provisioning
Hardwarein-house
Hardwareoutside
PaaS
IaaS
Manual
SaaS
Auotmated
SaaS
X X X
/ X X / X
/ X X X / X
/ X X X X X / X

Server virtualization  Industrialized Operations
 Assess current situation
 Define Industrialized
 Automated (de)provisioning
 Infrastructure as Data
• the data which identifies & defines is the documentation
 Critical success factors
• Simplification
• Standardization (HW & SW)
 Aligned with current monitoring, back-up, DRP
 Prepare & Present Business Case
 CAPEX & OPEX
 ROI
 Roadmap / Implementation Plan
 Implement

Today’s issues addressed by phase 1
Infrastructural consistency across environment & applications
(Dev, QA, …, Prod)
Very fast (de) provisioning (hours versus days) of infrastructure & operations
 Reduce operational debt
 SLA based Service models in place:
 Serviced
 Self-Service
 Pay for the time a server is required.
 Freedom of
 Location
 Cloud provider
Outsource Partnerships
 Software stack in line with the market
 (example: JBoss common, weblogic rare)

Industrialized Operations  Private Cloud
 Look at alternatives for facilities & HW €?
 Select / Investigate Cloud Model that implements your
strategic direction in terms of applications and technologies
 Think IaaS, PaaS, SaaS, …
 Based on selected Cloud Model:
 Adapt Integrated Server Backup
 Adapt Integrated Monitoring
 Adapt DRP
 Decide & implement base service model(s)
 Serviced
 Self-servicing

Reduce operational debt
 SLA based Service models in place:
Serviced
Self-Service
 Pay for the time a server is required.
Freedom of
Location
Cloud provider
Software stack in line with the market
(example: JBoss common, weblogic rare)

Private Cloud  Hybrid Cloud
 Implement platform release management
 Imbed in the organization as a regular exercise
 Align with application lifecycle management
 Re-evaluate / reconsider previous choices
 Determine & show the price €
 Resources are not unlimited
• Why not sharing resources?
• Why not reusing resources?
 Why are you getting an invoice when you have no clients?
 Not all applications need massive gold @ all moments
 Automate bendable infrastructure
 SLA based automation
 Get the things ‘hybrid” (aka “Go external when cheaper”)
• Private Cloud = covering the base demand
• Public Cloud = getting the work done at peak moments
o Be aware of legal constraints

Reduce operational debt
SLA based Service models in place:
Serviced
Self-Service
Automated Serviced (elasticity)
Pay for the time a server is required.
Freedom of
Location
Cloud provider
Software stack in line with the market
(example: JBoss common, weblogic rare)

Getting started
Assess
Deliver
Implementation
Roadmap & ROI
Deliver
Project Plan -
Activities to
implement
Roadmap
Execute
Roadmap Timeline1. Assessment - Where are we? Where do we want to be?
• Alignment with long term vision
• Inventory of inefficiencies/complaints and their root causes
• Who is involved in the server setup process
• What process is involved when setting up a server?
• Inventory of current software & hardware stack + facilities
• License strategy & costs
• Analyze data according to the AE model
2. Recommendations and Strategy
3. Get a GO for next step
1. Collect real evidence: facts and figures
2. Establish business case ROI
Establish implementation Plan

Take aways : AE research example 1
 Don’t forget to involve the application guys !
 Design & technological change needed for elasticity

Take aways : AE research example 2
 Cloud performance might be less than expected

The question is:
What is clouding? The question is:
Who dares?!

Help us help you!
 Free assessment of your environment
 Horizontal view: your FTE (workload) estimates
• Excel spreadsheet (“FTE estimates”)
• +/- exhaustive list of tasks within categories
• Infrastructure, Platform, Software (applications) & Process
 Vertical view: your server infrastructure composition
• Excel spreadsheet (“Facts & Figures”)
 What’s in for you?
 Anonymous benchmark against consolidated data
 Starting point for improvement track business case
 Email to matthias.pyck@ae.be

Agenda
 Q&A

Next stop: AE Blog
Visit blog.ae.be
Sharing of AE insights and experiences

AE foyer: From Server Virtualization to Hybrid Cloud

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