More Related Content Similar to How Cloud Service Providers (CSPs) can grow their business with IBM Cloud (20) More from Michael Kozloff (20) How Cloud Service Providers (CSPs) can grow their business with IBM Cloud1. © IBM Corporation 1
Presented by:
How to make money with IBM in Cloud?
IBM Watson & Cloud for Cloud Services Providers
Mikhail Kozlov
Cloud & Cognitive Leader
for CSPs, CEE
mikozlov@ru.ibm.com
2. © IBM Corporation 2
text
IBM Cloud Value Preposition for CSPs
HELP ME SCALE /
ENHANCE
HELP ME BUILD /
TRANSFORM
HELP ME INNOVATE
CSP types ISV>SaaS, IaaS>PaaS Legacy ISVs, Telcos, Media SaaS > Cloud Native
Key
messages
Grow from local to
global
Differentiation with PaaS,
DevOps, Cognitive, APIs..
Move into cloud fast, cost
effective and with low risks
Develop new digital
products faster in IBM Cloud
to improve top line
IBM
offerings
Softlayer, Bluemix,
Containers (ICP), COS,
DSX, Watson, Power,
Storage, Z14, Security, GTS,
ESA
Hybrid Cloud with: IBM
Cloud Public (Softlayer,
Bluemix, COS), IBM Cloud
Private (ICP), IDTES,
Watson, GTS, Power, Z14,
Storage/COS
Cloud Garage, Softlayer,
Bluemix, GTS, ICP, DevOps,
IDTES, Watson, Storage,
COS, PowerAI, Security,
Blockchain, IoT, ESA
Public CEE
references
ActivTrade (video, ppt) Komsomolskaya Pravda
(article)
Hala SAP Digital Expert
powered by IBM Watson
(Hala’s site)
3. © IBM Corporation 3
CSP’s IT/Business Focus Areas IBM Offerings & Solutions
New product development DevOps: Cloud Garage, Cloud Private, UrbanCode, Rational, APIC
Management&
Security
BSS / BPM /
Customer Care
Cloud Automation Manager (CAM), Cloud Orchestrator (ICO), Digital Biz
Automation, Cognos, SPSS, Watson (Marketing, Commerce)
Integration IBM API Connect (APIC), Integration Bus
OSS / IT operations APM (apps insights), Netcool (opps insight), Gravitant (cloud brokerage)
Security IBM Qradar, Gardium, MaaS360, BigFix / CarbonBlack
SaaS Watson (Marketing, Commerce), Social, Video, IBM SaaS
Big Data & PaaS
IBM Cloud PaaS (ex Bluemix), Watson Data Platform, Data Science
Experience (DSX)
Infrastructure(IaaS)
Resiliency (BC/DR) IBM Cloud for VMware, IBM BC/DR Services
Virtualization /
Containers
IBM Cloud for VMware, IBM Cloud Private (ICP, Kubernetes/Dockers)
Storage IBM Storage, Spectrum Protect, Cloud Object Storage (COS)
Compute IBM Cloud IaaS (Bare metal, VMs, VMW), IBM Power / Power AI,
IBM z / zCloud
Networks Aspera, IBM Network Consulting Services
Data Centers IBM DCs and DC Services
4. © IBM Corporation 4
Global cloud service delivery to grow the top line
requires huge investments in bottom line: DCs, IT
and operations (CapEx and OpEx)
Global Infrastructure as a Service with IBM Cloud
HELP ME SCALE / ENHANCE
6. © IBM Corporation 6
text
Business value from growing from local to global in partnership with IBM
More cost efficient [IT infrastructure as a Service]
Better stability and availability
Faster delivery
Source: ActivTrades presentation
Video: How IBM helped ActivTrades build stable financial trading platform on global cloud based infrastructure
http://www.ustream.tv/recorded/108028717
7. © IBM Corporation 7
Workday on IBM Cloud
The deal…, calls for Workday to use IBM’s Softlayer cloud as the platform for
developing and testing new products… Workday CEO Aneel Bhusri described
the pact as a way to scale those activities more quickly, especially as the
software company expands its global presence.
Source: Fortune
8. © IBM Corporation 8
IBM And VMware Deepen Hybrid Cloud Partnership
For Customers Like Marriott
IBM and VMware's hybrid story appeals to Marriott in part because
of the company's transition to a mostly cloud, but never fully cloud,
structure, the company says.
https://www.forbes.com/sites/alexkonrad/2016/08/29/ibm-vmware-deepen-hybrid-cloud-partnership-
for-customers-like-marriott/#4f54d87a6248
9. © IBM Corporation 9
IBM Cloud Public Infrastructure (ex Softlayer):
Total Access, Control and Transparency
Over 46 global cloud centers
Open, secure, and scalable
Secure, high-speed network
Secure integration to on-premises
VMs, Bare metal, VMware, Containers,
GPUs…
10. © IBM Corporation 10
IT service support for SAP systems costs millions
$$$ every year with ~1/3 is about just routine
incidents
Transition into Hybrid Cloud with Infrastructure, Platforms, Applications / Cognitive
For example, transform your Customer Care with IBM Watson
HELP ME BUILD / TRANSFORM
11. Hala SAP Digital Expert saves up to 30% for SAP support
incidents resolution
11https://www.hala.ai
12. © IBM Corporation 12
CSP’s Customer Care Solution Components
Watson Virtual Agent
• is a horizontal application that is built to leverage Watson
Conversation Service by deploying multiple pre-built capabilities
to support the many types of general customer service
interactions that an end user might have.
Watson Conversation Service
• is a cognitive services application program interface (API) that
can be used for creating conversational chat applications. For the
Customer Care Watson Business Solution, an instance of
Watson Conversation Service is required for custom capabilities
that augment the Watson Virtual Agent pre-built capabilities.
Watson Discovery Service
• provides the complex question and answer retrieval capability
within Customer Care. For Customer Care, organizational
content, in the form of documents, is ingested into a Watson
Discovery Service collection using out-of-the-box search and
enrichment capabilities. Advanced enrichment and relevancy
training are out of scope for the solution.
13. © IBM Corporation 13
Watson Conversation for Autodesk
http://ecc.ibm.com/case-study/us-en/ECCF-WUC12544USEN
14. © IBM Corporation 14
Komsomolskaya
Pravda
(OOO SLD)
http://www-03.ibm.com/software/businesscasestudies?synkey=B213224J43033E14
https://www.cio.ru/news/Komsomolskaya-pravda-ushla-v-oblako
15. © IBM Corporation 15
Digital Transformation Drives Demand for the New
Digital Products Development
Containers as a Service with IBM PaaS (Bluemix) and IBM Cloud Private
DevOps as a Service (IBM Cloud Garage, PaaS, Cloud Private, UrbanCode, IDTES)
Data Science Experience as a Service (IBM PaaS, Cloud Private, DSX)
HELP ME INNOVATE
16. © IBM Corporation 16
Digital Factory Helps to Launch New Digital Products Faster
Challenge
• Goal: find a
new revenue,
keep margins
Opportunity
• Task: improve
Time to
Market
• Roadblocks:
slow IT
Solution
•Design
thinking
•Agile
software and
new digital
product
development
(NPD)
•ITaaS
New revenue from
the new digital
products
Digital products =
software
Software
development = new
challenges (non-
core competence)
Digital Factory
Cloud Native
apps
DevOps / Agile
Cognitive
ITaaS
17. © IBM Corporation 17
New Product Development (NPD) Process Challenges
More details about NPD: https://www.slideshare.net/mkozloff/ss-15602297
Time to Market > 2Y
Goal = weeks
Biz
IT /
Platform
Develop
ers
Research Ideate
Plan /
Business
Case
Prototype
/ Sketch /
MVPs)
Develop Test
Transform
/ Deploy
Integrate
Manage &
Support
Agile MVP in
3-4 monthsThe whole process is
agile as is its slowest part
HW ordering
up to 6M
(goal 5 min.)
Integration
with legacy IT
not always
possible
18. © IBM Corporation 18
The Journey
Digital Factory as a Service
Idea Define
Concept /
MVP
Iterate Operate & Retire
NPD process optimized for Digital Delivery
Digital Factory
on IBM Cloud
with Cognitive
and Hybrid
ITaaS
XaaS Platform (PaaS, Data, Cognitive)
SaaS, Consumable Services
Hybrid Cloud Infrastructure
Production Workloads
XaaS Consumption
Dev & Test
Agile / DevOps
Sandbox(es), APIs
19. © IBM Corporation 19
NBCUniversal
Business challenge
NBCUniversal sought to engage a DevOps approach to application
development across its complex enterprise, consisting of 17 business units
to improve code quality, streamline development and lower costs.
Solution
NBCUniversal utilizes IBM® UrbanCode™ Build, UrbanCode Deploy and
IBM Development and Test Environment Services as the engine of
DevOps, combining continuous integration, delivery, testing, feedback and
monitoring into one automated workflow, bridging process, culture and
technology across the organization.
75% reduction in time for new application releases
Decreases regression testing time from weeks to hours
Satisfies business requirements more rapidly and improves
code quality
Source: IBM
21. © IBM Corporation 21
Areas of NPD Optimization (IBM Cloud & Cognitive offerings examples)
CHALLENGE OUTCOME APPLICABILITY/LEARNING
Very long time to market
Inconsistent customer experience
Duplicative work in different business units
Lack of critical mass of digital capabilities
18 months - 3 months
+20 NPS
Microservices in re-use library
Open APIs
Speed to market
Better customer experience
Cross functional consistency, re-use of features
Distributed Agile, growing partner ecosystem
Research,
Ideate
•Watson Explorer
•Product Information
Management
(InfoSphere MDM)
•IBM Connections
Concept
•IBM Garage
•IBM DataFirst
method
•IBM Design
Thinking
Design > Build
> Test
•Sandbox and
containers (IBM
Cloud Private)
•IBM DSX (Data
Science
Experience)
•IoT, Blockchain
Deploy,
Integrate
•DevOps (IBM
UrbanCode and
MobileFirst)
•UrbanCode
CI/CD***
•API Economy (IBM
API Connect)
Manage &
Support
•Security Operations
Center, IBM
Security (Qradar…)
•APM*
•PMQ**
Sales &
Marketing
•Cognitive Analytics
& personalization
(Watson Marketing)
•eCommerce
(Watson
Commerce)
*) IBM Application Performance Management
**) IBM Predictive Maintenance and Quality
***) Continues Integration / Continues Deployment
Digital Factory (product offices run devops & own budget incl. IT)
22. © IBM Corporation 22
Research
• Blueprint
Genetics -
Speeding
diagnoses with
IBM Analytics
solutions
• Omron Europe
deployed IBM
Connections …
leading to a
highly successful
personalized
intranet portal
Ideate
• Advansolar
teamed up with
the IBM Bluemix
Garage to
develop an
electric bicycle
rental solution
based on a
hybrid cloud
platform
• Delhaize
America is using
Big Data and IBM
Cloud Data
Services to
improve
customer
engagement and
loyalty
Plan /
Business
Case
• Ornge, air
ambulance
service provider,
replaced
inflexible
spreadsheet-
based business
planning
processes with
IBM Analytics
solutions
• Honda R&D is
training its
engineers to use
advanced IBM
Analytics tools,
helping them
collaborate and
explore new
sources of big
data
Prototype /
Sketch /
MVPs
• T-Mobile
decreases a
complex 120-
click process
down to just 8
clicks with new
mobile app to
save 7 hours a
week per sale
rep
• Flying Donut
helps teams work
better together by
supporting agile
collaboration and
project tracking,
powered by IBM
Compose
Develop
• NBCUniversal
scales DevOps
across a large
multi-speed IT
enterprise
• Autodesk Inc.
developed a
virtual agent
using IBM
Watson
Conversation
Service
• AT&T network,
IoT solutions,
and the Watson
cognitive
capabilities to
really create
insight for
customers
• YES BANK
builds an API
ecosystem to
enhance service
and expand
market reach
Test
• Bendigo and
Adelaide Bank
improves agility
with DevOps
based on IBM
UrbanCode
software
• An insurance
provider reduced
testing time by 94
percent
• CZ accelerates
development
cycles while
protecting client
data
Transform /
Deploy
• Watson serves
up Cognitive
Highlights at the
US Open
• EVRY shifts
seamlessly to a
cloud delivery
model to keep
pace with
demand
• Alitalia is
working with The
Weather
Company to
bypass storms,
evade turbulence
• Whirlpool
Corporation
migrates its SAP
workloads to IBM
Cloud
• KPJ Healthcare
Berhad launched
private
healthcare cloud
infrastructure for
secure medical
services
Integrate
• CEMEX achieves
real-time
customer
engagement with
APIs and
DevOps
• IBM Watson IoT
Platform helps
KONE to
manage and
maintain
connected assets
around the globe.
• Panalpina World
Transport uses
process
automation and
APIs to deliver
fast service
globally
Manage &
Support
• IBM Cloud
Brokerage
Services helps a
Fortune 500
company
implement hybrid
cloud for
improved agility,
reduced cost and
easier
management
• Bendigo and
Adelaide Bank
deploys
monitoring as a
service for cloud
and on-premises
systems
• Automated
Financial
Systems Inc.
improves
processing times
while reducing
costs with an IBM
Cloud Managed
Services
IBM Cloud & Cognitive References Examples
http://www-03.ibm.com/software/businesscasestudies/us/en/corp
23. © IBM Corporation 23© IBM Corporation 23
Cloud Definitions Recap and
CSP market opportunity in
CEE
25. © IBM Corporation 25
text
Definition of Cloud
–Cloud Computing: Paradigm for enabling network access to a scalable and
elastic pool of shareable physical or virtual resources with self-service
provisioning and administration on-demand.
–NOTE. Examples of resources include servers, operating systems,
networks, software, applications, and storage equipment.
ISO/IEC 17788:2014
26. © IBM Corporation 26
Cloud is a business model, not another technology
5 characteristics (А), 3 capabilities (B), and 4 deployment models (C)
SaaS
• Software as a Service
• «Rent IT»
PaaS
• Platform as a Service
• «Develop IT»
IaaS
• Infrastructure as a Service
• «Run IT»
ChargebackInstant elasticity
Global network access
from any device
IT Services Catalog /
Self-service
Common IT-resources pool
Public Cloud
Hybrid
Cloud
Community
CloudPrivate Cloud
Source: NIST, ISO
27. © IBM Corporation 27
Cloud models split of responsibility between customer and CSP
Applications
Execution
Environment
Database
Security
OS
Virtualization
Storage
Compute
Networks
PaaS
CustomerSLAforPaaS(managedbyCSP)
Applications
Execution
Environment
Database
Security
OS
Virtualization
Storage
Compute
Networks
SaaS
Configuration
(ITdept./Supplier)
SLAforSaaS(managedbyCSP)
Applications
Execution
Environment
Database
Security
OS
Virtualization
Storage
Compute
Networks
IaaS
CustomerSLAforIaaS(managedbyCSP)
Applications
Execution
Environment
Database
Security
OS
Virtualization
Storage
Compute
Networks
«Traditional
IT»
ManagedbyCustomer
SLA(?)
Data Center Data Center Data CenterData Center
Applications
Execution
Environment
Database
Security
OS
Virtualization
Storage
Compute
Networks
Co-location
CustomerSLAforDC(CSP)
Data Center
28. © IBM Corporation 28
text
Opportunity to Address Local Cloud Market: local CSPs account for more
than half of the market
Global clouds account for 28.5% (H2 2017) of total cloud revenue in Europe
• Source: IDC Semiannual Public Cloud Services Tracker 2017H1, November 2017.
European cloud market is extremely diverse, because European customers
are themselves diverse. To meet this burgeoning demand, a whole host of
specialized native European cloud providers have grown up
• Source: Cloud and Tech Trends to Follow in 2017 (European Cloud Alliance, 2017)
29. © IBM Corporation 29
text
Cloud Trends to Follow in 2018
Digital Transformation is reshaping the EU economy
GDPR and ePrivacy
Cybersecurity: Securing the Internet of Things
Artificial Intelligence and Big Data: The machine learning
revolution is just beginning
• Source: European Cloud Alliance, 2018
30. © IBM Corporation 30
Public PaaS is underserved in CEE!
Примечания:
• Данные IDC приведены по средневзвешенному курсу долл. США за 2015-16
• Все данные взяты из открытых публикаций
10% of total public XaaS market in CEE (IDC, 2016)
Opportunity to Grow CSP’s business:
• Digital Factory as a Service
• Containers as a Service
• DevOps as a Service
• Machine Learning as a Service
• Robotic Processes Automation as a Services (e.g. with chatbots)
31. © IBM Corporation 31
Industry Clouds call for a different type of approach, where
ecosystems, co-innovation and coopetition are the norms
Industry Clouds will mushroom
around several breakthrough
Cloud technologies
From a selling approach to a co-
innovation and coopetition
approach
Successful Industry Clouds are
build upon widely accepted
standards
Lead conversation with IBM’s
supremacy in IoT, Blockchain, Cognitive
and disruptive Apps, DX and customer
supremacy
Leverage IBMs 24 Years of patent
leadership and invention record.
Engage with all appropriate players and
stakeholders to make sure all parties are
heard and their views are considered.
Leverage existing partnerships and be
open to partake in more and engage in
relevant industry conversations
(Academia, Professional Organizations,
various industry fora)
Think about co-creating the Industry
Clouds of tomorrow together with your
clients, not about selling a bunch of
offerings
Leverage the concept of Bluemix
Garage and consider launching Industry
Garages for each of the top industries
IBM Blockchain &IBM Watson &IBM Watson &
e.g. Healthcare: e.g. Automotive: e.g. Banking:
32. © IBM Corporation 32
IBM ESA* Concept for CSPs: build solutions, not resell
Applications
Execution
Environment
Database
Security
OS
Virtualization
Storage
Compute
Networks
SW licenses
XaaS
Go to Market
…
Data Center
IBM offerings
ESA*
CSP
Solution
with IBM
offerings
ESA
*) Embedded Solution Agreement
35. © IBM Corporation 35
IBM Cloud architecture engineered for disruption
Cloud Infrastructure
A highly scalable, security
enabled infrastructure
Data
Tools to prepare data
for cognitive
AI
Cognitive building blocks for
developers
Applications, solutions
and services
Targeted solutions for
enterprise businesses
Ingestion
Conversation
API
Storage Analytics Deployment Governance
Visual
Recognition
API
Discovery
API
Speech
API
Compare
and
Comply
API
Document
Conversion
API
DLaaS
API
Nat Language
Understanding
API
Nat
Language
Classifier
API
Tone
Analyzer
API
Personal
Insight
API
Knowledge
Query
API
Cloud Integration
Networking Security
Core
Enterprise
Infrastructure
Cognitive
Systems
Virtual
Servers
File
Storage
Object
Storage
Cognitive Micro-services DevOps Tooling
Watson
Oncology
Watson
Cyber
Security
Weather
IBM
Services
& Ind.
Solutions
Watson
Virtual
Agent
Watson
Explore
and
Discover
IBM Risk
and
Compliance
Asset
Mgmt.
(Maximo)
36. © IBM Corporation 36
IBM Cloud architecture simplified view
Cloud Infrastructure
A highly scalable, security
enabled infrastructure
Data
Tools to prepare data
for cognitive
AI
Cognitive building blocks for
developers
Applications, solutions
and services
Targeted solutions for
enterprise businesses
Ingestion
Conversation
API
Storage Analytics Deployment Governance
Visual
Recognition
API
Discovery
API
Speech
API
Compare
and
Comply
API
Document
Conversion
API
DLaaS
API
Nat Language
Understanding
API
Nat
Language
Classifier
API
Tone
Analyzer
API
Personal
Insight
API
Knowledge
Query
API
Cloud Integration
Networking Security
Core
Enterprise
Infrastructure
Cognitive
Systems
Virtual
Servers
File
Storage
Object
Storage
Cognitive Micro-services DevOps Tooling
Watson
Oncology
Watson
Cyber
Security
Weather
IBM
Services
& Ind.
Solutions
Watson
Virtual
Agent
Watson
Explore
and
Discover
IBM Risk
and
Compliance
Asset
Mgmt.
(Maximo)
IBM Hybrid Cloud
Watson & SaaS
IBM Cloud IaaS & PaaS
Watson Data Platform
Public Private
IBM Cloud Private
IBM Hybrid SW
37. © IBM Corporation 37
CSP’s IT/Business Focus Areas IBM Offerings & Solutions
New product development DevOps: Cloud Garage, Cloud Private, UrbanCode, Rational, APIC
Management&
Security
BSS / BPM /
Customer Care
Cloud Automation Manager (CAM), Cloud Orchestrator (ICO), Digital Biz
Automation, Cognos, SPSS, Watson (Marketing, Commerce)
Integration IBM API Connect (APIC), Integration Bus
OSS / IT operations APM (apps insights), Netcool (opps insight), Gravitant (cloud brokerage)
Security IBM Qradar, Gardium, MaaS360, BigFix / CarbonBlack
SaaS Watson (Marketing, Commerce), Social, Video, IBM SaaS
Big Data & PaaS
IBM Cloud PaaS (ex Bluemix), Watson Data Platform, Data Science
Experience (DSX)
Infrastructure(IaaS)
Resiliency (BC/DR) IBM Cloud for VMware, IBM BC/DR Services
Virtualization /
Containers
IBM Cloud for VMware, IBM Cloud Private (ICP, Kubernetes/Dockers)
Storage IBM Storage, Spectrum Protect, Cloud Object Storage (COS)
Compute IBM Cloud IaaS (Bare metal, VMs, VMW), IBM Power / Power AI,
IBM z / zCloud
Networks Aspera, IBM Network Consulting Services
Data Centers IBM DCs and DC Services
39. © IBM Corporation 39
text
How to make money with IBM in Cloud?
IaaS CSPs
• Differentiate &
Expand into PaaS
• Digital Factory,
Containers,
DevOps, Machine
Learning as a
Service
ISV & SaaS
• Grow business from
local to global on
IBM Cloud
• Embed IBM Cloud
into your solutions
• Optimize your costs
and IT stack
Channel partners
• Resell IBM Cloud
• Provide managed
services
Any questions?
Ask Mikhail Kozlov (IBM Cloud for CSPs, CEE):
mikozlov@ru.ibm.com
40. © IBM Corporation 40
Mikhail Kozlov
Created investment model
for evaluating potential of
entering Russian Data
center and Cloud market
for the global investment
fund resulted in acquired
share in an existing data
center in Moscow.
Created investment model
for evaluating potential of
entering Russian SaaS
market for a large
telecom operator
Developed investment,
financial and operational
business models for a
large Russian SaaS
startup (~$25M
investments).
Created business model
for WebRTC PaaS
solution developer
VoxImplant (Zingaya) and
consulted on operational
activities.
Developed business plan,
raised investments and
launched Russian
operations for De Novo
CSP (UA). Organized
M&A of De Novo Russia
with ActiveCloud (Softline
Group, Russia)
Developed b2b Cloud
business models for
Rostelecom (Russia) and
G-Cloud Service Providers
including beCloud
(Belorussia) and Nitec
(Kazakhstan)
CSP Leader, IBM Cloud,
CEE
mikozlov@ru.ibm.com
+7 985 575 9238
https://ru.linkedin.com/in/mkozloff
42. © IBM Corporation 42
text
…
…
IBM Cloud for CSPs: Selected Solutions and Use Cases
Private Clouds
• Run your Private
workloads on-
premise and/or on
IBM Cloud
High availability and
disaster recovery
• Protect your
applications and
production
workloads
DevOps and DevTest
for the New Product
Development (NPD)
• Create and test
apps with speed and
quality
High Performance
Computing & Data
Science aaS
• Speed-up and
optimize your HPC
workloads
• Scale up your Data
Science amd
Machine Learning
infrastructure fast
and cost effective
From Local to Global Hybrid Cloud
44. © IBM Corporation 44
Get the performance, control and speed you need with
more compute options
OpenWhisk
Maximum speed with
serviceless apps
Containers
Maximum
portability
Virtual Server or VMware
Leverage existing
languages and tools
DEVELOPMENT SPEEDPORTABILITYPERFORMANCE & CONTROL
Bare Metal
Maximum performance
and control
Cloud Foundry
Open PaaS
environment
“For Second Year in a Row, Cloud Benchmark Reveals IBM Bluemix
Infrastructure (formerly Softlayer) Nearly Three Times Faster than Amazon Web
Services” – VoltDB, Jan 2016
IBM Bare Metal Servers = 2,5x Faster than AWS
45. © IBM Corporation 45
Delivery Models
Dedicated
Private Cloud
Managed by CSP
Dedicated HW or
Private Cloud
Managed by CSP
Local
Private Cloud
IBM Managed
Local HW or
Private Cloud
Self Managed
Public Cloud
IBM Managed
Shared public cloud services
managed by IBM, hosted in an
IBM data center > CSP resells
Dedicated infrastructure
managed and hosted in an
IBM data center
Private cloud services managed
by CSP, hosted in an
IBM data center
Private cloud services managed
by CSP and hosted in a client
data center
Private infrastructure managed
by CSP in a client data center
Off-
Premises
Cloud
ClientDataCenter
On-
Premises
Cloud
IBM Cloud can meet all
CSP needs from a
private cloud
deployment
perspective
IBMDataCenter
46. © IBM Corporation 46
USE CASE #1 USE CASE #2
On-premise in CSP’s DC
(Private and Hybrid)
Off-premise on IBM Cloud
(Private and Hybrid)
IBM Cloud Private (ICP)
IBM Cloud Automation
Manager (CAM)
IBM Cloud Orchestrator (ICO)
IBM Gravitant
IBM API Connect
IBM Cloud Bare Metal / VMs /
Containers (IBM Cloud
Private, ICP)
VMware for IBM Cloud
Aspera
IBM Cloud for Private Clouds
Hybrid
47. © IBM Corporation 47
IBM Cloud Infrastructure (ex Softlayer):
Total Access, Control and Transparency
Over 46 global cloud centers
Open, secure, and scalable
Secure, high-speed network
Expert services and tools
Secure integration to on-premises
48. © IBM Corporation 48
Any Application
Any x86
Any Storage
Any IP network
On-Premise
Primary DC
Any Application
Any x86
Any Storage
Any IP network
On-Premise
Secondary DC
Any Application
Any x86
Any Storage
Any IP network
IBM Cloud
Softlayer - London
Any Application
Any x86
Any Storage
Any IP network
IBM Cloud
Softlayer - Paris
SDDC Platform
VMware Virtualization
A Hybrid Cloud Deployment Model
IBM Cloud IaaS
49. © IBM Corporation 49
Move VMware-based workloads from On-Premises and
across IBM Cloud Data Centers
VIRTUAL
MACHINES
STORAGE
On-Premises
Data Center
STORAGE
IBM Cloud
Data Center
Replication
Backup/Recover
Failover/Failback
Secure Dedicated Link
VIRTUAL
MACHINES
High Availability w/ VMOTION
STORAGE
IBM Cloud
Data Center
VIRTUAL
MACHINES
SL Private Network
STORAGE
VMware on Local Infrastructure VMware
Bare Metal Servers
VMware
Bare Metal Servers
49
50. © IBM Corporation 50© 2016 IBM Corporation
IBM Cloud for
high availability
and disaster
recovery (DR)
51. © IBM Corporation 51
- ESG and IDC studies
Data protection and disaster recovery (DR)
#1 and #2 purposes
driving use of cloud
infrastructure.
Data loss is costing
clients $1.7 trillion
per year.
Only 6% had
protection plans in
place.
52. © IBM Corporation 52
IBM Cloud for Data Protection and Disaster Recovery (DR)
USE CASE #1
IBM Cloud Object
Storage as
alternative to
tapes and VTLs
Bluemix IaaS
(Softlayer)
IBM Spectrum Protect
IBM Cloud Object
Storage
USE CASE #2
Cloud backup
for backups
Bluemix IaaS
(Softlayer)
IBM Spectrum Protect
IBM Cloud Object
Storage
USE CASE #3
Real time
replication between
bare metal and
virtualized
workloads
Bluemix IaaS
(Softlayer)
IBM Spectrum
Virtualize
USE CASE #4
DR for VMware
environments
Bluemix IaaS
(Softlayer)
IBM Cloud for VMware
Zerto on IBM Cloud
54. © IBM Corporation 54
Code
Generation,
enhancement,
optimization and
testing of
features
Deliver
Automated production
and delivery of
offerings
Run
Services, options,
and capabilities
required to run in
the Cloud
Culture
Foundational
values and
principles
Customers building new
capabilities for digital
disruption, must develop, test
and deploy applications at the
speed of Cloud and at Enterprise
scale
Leverage Cloud for Dev Test
55. DevOps means results
Bluemix cut
implementation
time by 95%
70%
Reduced system
downtime by
50%
Improved code
quality by
99%
Time required for
software releases
down by
Reduced system
integration testing
time from 3 weeks to 4hours
56. 56© 2016 IBM Corporation
Concept
• IBM Garage
• IBM DataFirst
method
• IBM Design
Thinking
Design >
Build > Test
• Sandbox and
containers (IBM
Cloud Private)
• IBM DSX (Data
Science
Experience)
• IoT, Blockchain
Deploy,
Integrate
• DevOps (IBM
UrbanCode and
MobileFirst)
• UrbanCode
CI/CD***
• API Economy
(IBM API
Connect)
Manage &
Support
• Security
Operations
Center, IBM
Security
(Qradar…)
• APM*
• PMQ**
Sales &
Marketing
• Cognitive
Analytics &
personalization
(Watson
Marketing)
• eCommerce
(Watson
Commerce)
…
New Products Development with IBM Cloud & Cognitive
57. 57© 2016 IBM Corporation
UrbanCode Deploy
ICO/CAM
IBM Cloud Private
IBM Cloud Public IaaS and PaaS
USE CASE #1
Automate test execution
(functional, integration,
performance, security) for
improving test outcomes and
application quality
USE CASE #2
Automate cloud infrastructure
provisioning of production-like
environments for DevTest
Rational Test Workbench
Rational Test Virtualization Server
Rational Performance Tester Server
Rational Performance Tester on Cloud
Security Tester
58. 58© 2016 IBM Corporation
USE CASE #3
To grow and shrink out Devtest
resource base quickly based on
demand
USE CASE #4
Provide fully automated
application delivery pipeline, at
enterprise scale
UrbanCode Deploy
UrbanCode Build
UrbanCode Release
Bluemix Continuous Delivery
Github hosted on IBM Cloud Public
Open toolchains
IBM Cloud for Skytap Solutions (ICSS)
VMware
IBM Cloud PaaS
IBM Cloud IaaS (Softlayer)
IBM Containers / DDC
ICSS
59. © IBM Corporation 59
On-premises
resources
Capacity limited
IBM Cloud for Skytap Solutions
• Extensive tools for dev-test workloads
• Clone existing complex environments
• Reset to known state for testing / QA
• Scale up/down quickly for cost saving
• Not intended for production running
IBM Bluemix
• IBM Cloud scale for IaaS and PaaS
• Automation, security, networking
• Integrated DevOps for Cloud native and
multispeed applications.
VMware on IBM Cloud
• Extend existing VMware vSphere/NSX to
IBM Cloud
• Automation, security, networking and DR
capabilities
• BYO testing tools or leverage IBM
ICSS
Cloud hosted test environments
60. © IBM Corporation 60© 2016 IBM Corporation
High
Performance
Computing on
IBM Cloud
61. © IBM Corporation 61
HPC is in Our Everyday Lives
HPC is a critical element of product development,
research, discovery and breakthrough science
Risk Analytics
DNA
Sequencing
Reservoir
Simulation
Weather Forecasting
ElectronicsDesign
Race Car Design / Real-Time Analytics
Aerospace
Design
ProductDesign
Turbine
Design
62. © IBM Corporation 62
HPC Use Cases
Industry Business Function HPC Applications (Use Cases)
Financial Services Risk Analysis
Actuarial Asset and
Liability Management
Risk Analytics
Monte Carlo and PDE Simulation
Real time options pricing
Electronics, Auto,
Industrial
Design Verification
Electronic Design Automation (EDA)
Logical and Physical Verification
Auto & Aerospace Vehicle Design and
Simulation
Computational Fluid Dynamics (CFD)
Structural Dynamics
Crash & Non-Linear Structural Dynamics
Energy/Oil & Gas Oil and gas field discovery Seismic Processing
Reservoir Simulation and Modeling
Reverse Time Migration
Life Sciences Genomic Sequencing
Analysis
Genomic Sequencing
Molecular Dynamics and Drug Research
Public/Higher Ed &
Research/Government
Research & Discovery
Prediction
Climate Modeling & Weather Forecasting
63. © IBM Corporation 63
IBM Cloud for HPC
IBM Systems
HPC Software
IBM Systems
HPC CloudOps
IBM High
Performance
Services
Network – 1GB, 10GB, Aspera
Servers – Bare Metal & Virtual + GPU
Storage – File & Object
IBM Cloud
SoftLayer
Infrastructure
Softlayer
HPC
Cloud
IBM Spectrum Scale
IBM Spectrum LSF & IBM Spectrum Symphony
Managed Services & Support
64. © IBM Corporation 64
IBM Cloud Infrastructure (ex Softlayer)
Enterprise: Test & Dev, NPD, M&As,
HPC
Gaming, Entertainment, Social
Media, Mobile Developers and ISVs:
1) Growing from CEE to WW
2) Need single Cloud provider WW
3) Starving for performance
Softlayer bare metal shows the
best performance
https://www.voltdb.com/news/second-year-
row-cloud-benchmark-reveals-ibm-softlayer-
nearly-three-times-faster-amazon-web
PS: Softlayer VMs were half less of vCPU vs AWS, Azure and
Google with just 25% less thruput and bare metal is x2,5 better
than AWS
Softlayer Bare Metal
65. © IBM Corporation 65
Halliburton HPC Cloud Use Case
Substantially reduces time to understand effects of decisions in oil & gas fields
• Halliburton requires large capacity compute clusters to run large
seismic processing and complex reservoir modelling workloads.
• Different Business Units (BU) and Product Service Lines (PSL) need
different cluster profiles to suit their needs, such as low latency
networks, fast CPUs, large memory footprints or massive storage.
• Halliburton wants to:
• Create a unified approach to providing HPC services to 13 PSLs /
BUs with unique HPC requirements for each
• Standardize and move away from ad hoc purchasing from a
variety of vendors.
• Allow PSLs / BUs to focus on science and engineering by
removing the burden of implementing and managing specialized
HPC resources.
• HPC resources are accessed as needed - Fully functional and
ready-to-use high performance compute (HPC) clusters are
provisioned as needed and built to the unique specifications of
each PSL / BU and workload.
• A dedicated IBM Cloud Operations team builds and
configures Clusters using IBM Platform LSF workload
management on Softlayer cloud infrastructure.
• Dedicated bare-metal machines are used to deliver the
performance expected by the clients.
• As needed the latest technologies are used deliver the
expected performance, capacity and response times, such as,
InfiniBand, GPUs, SSDs, and Spectrum Scale (GPFS).
• Clusters are scaled up, scaled down and de-commissioned as
dictated by the workload and the client.
• The client switches from a CapEx to OpEx expense model
Needs Solution & Benefits
• PR Newswire - Halliburton Turns to IBM Cloud to Help Evaluate Development Decisions for Oil and Gas Fields https://ibm.biz/Bd4KUj
• TheStreet - Halliburton Moves to IBM's Cloud to Streamline Some Operations https://ibm.biz/Bd4KUq
66. © IBM Corporation 66
Halliburton HPC Cloud Solution
Ready-to-use Platform LSF clusters in the SoftLayer cloud
Pay-per-use access to
application-ready clusters
in the SoftLayer cloud
Maximum Security -
Dedicated single-tenant
clusters deployed for each
Product Service Line
Maximum Performance -
IBM Platform LSF, bare-
metal servers and
InfiniBand
• PR Newswire - Halliburton Turns to IBM Cloud to Help Evaluate Development Decisions for Oil and Gas Fields https://ibm.biz/Bd4KUj
• TheStreet - Halliburton Moves to IBM's Cloud to Streamline Some Operations https://ibm.biz/Bd4KUq
68. © IBM Corporation 68
text
IBM Building Blocks
– IBM Power AI + SW
– IBM Cloud Private
(Containers,
Kubernetes)
– IBM Cloud Automation
Manager (CAM)
– IBM DevOps
– IBM API Connect
– IBM Data Science
Experience (either on
top of ICP in CSP
Cloud or in IBM Public
Cloud)
70. © IBM Corporation 70
Solution Patterns
EntryPoints
Create
new customer value through
innovation in applications,
services, and processes
Develop cloud
native applications
Leverage cloud
Dev Test
Get the most from
Open Source
Create cognitive
applications
Connect
people, applications, data,
things and services in new
ways to enable innovation
Create and extend
cloud native and
legacy applications
and data
Use and integrate
SaaS applications
Optimize
any application, data or
service for cloud agility and
economics
Make data simple
with self-service
analytics and
machine learning
Deliver multi-cloud
solutions
Transform business
processes with
actionable insights
and intelligence
Run existing
solutions on
private cloud
Run existing
solutions on
public cloud
Manage
secure and govern your
processes and services
wherever they run
Deliver unified
governance,
management,
monitoring and
security
Transform products
and services with
intelligent connected
devices
Leverage cloud
for high availability
and disaster
recovery
SAP on IBM Cloud
Other Solution areas addressed by IBM Cloud