Hewlett Packard Enterprise (HPE) Service Virtualization (SV)
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Transcript of Hewlett Packard Enterprise (HPE) Service Virtualization (SV)
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HPE Service Virtualization 3.8 CFD
Speaker name and title
Month day, year
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Agenda
– A changing world demands service virtualization
– Understanding service virtualization
– HPE Service Virtualization Distinctions and ver3.8 highlights
– How to Successfully Implement Service Virtualization
– Customer Reference Stories
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Changing world demands service virtualization
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Deliver amazing user experiences
Modern Application Development
Reduce costs
Increase customer attraction/retention
Increase the value of your brand
Get to market faster
* Source: “Enterprise Mobile Facts You Need to Know in 2015” by App Data Room.
http://appdataroom.com/enterprise-mobile-facts-need-know-2015/
Modern applications redefine application development
Mobile Cloud
Dev Ops
Agile
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Velocity, quality and user experience
of consumers will delete a
mobile app if they encounter
a bugAPMdigest, Feb 5, 2014
30xAccess anywhere
Composite applications
Analytics
Proliferation of tools
Shift “left”VisibilityPredictive
ElasticSecureScalable
Agile
User experience
Demand for
qualityNeed for velocity
increase in application
releasesEnterprise 20/20 Research, 2013
50%
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How do you manage composite applications?
Traditional Public Cloud
Track packagePayment
Composite
Product Customer Profiles Shipping
Managed Cloud
Shopping process Search Buy Pay Ship Track
Integrated to support the process
Each have SLAs and performance
dependencies
Components anywhere– in-house or cloud
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ConsequencesYou can’t do anything until you have everything; and you never have everything
84%QA work delayed while waiting
81%Development work delayed
while waiting
Source: voke Market SnapshotTM Report: Service Virtualization – January 2015
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Wait timeBefore Service
Virtualization
On-demand (no wait) 0%
Seconds to minutes 0%
30 minutes to 2 hours 0%
4 to 7 hours 2%
1 day 1%
2 days 1%
3 days 9%
4 days 3%
1 week 8%
2 weeks 15%
3 weeks 27%
1 month 14%
2 months 10%
3 months 5%
4 to 6 months 3%
Never (no access
ever)2%
Source: voke Market SnapshotTM Report: Service Virtualization – January 2015
The consequence: crippling wait times
76%wait at least 2 weeks or more on systems
How long is your wait time?
What’s the impact on cost?
Lost sales opportunity?
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Wait timeBefore Service
Virtualization
On-demand (no wait) 0%
Seconds to minutes 0%
30 minutes to 2 hours 0%
4 to 7 hours 2%
1 day 1%
2 days 1%
3 days 9%
4 days 3%
1 week 8%
2 weeks 15%
3 weeks 27%
1 month 14%
2 months 10%
3 months 5%
4 to 6 months 3%
Never (no access
ever)2%
Source: voke Market SnapshotTM Report: Service Virtualization – January 2015
The consequence: crippling wait times
32 daysaverage wait time
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The solution?...Service Virtualization technology
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Wait timeBefore Service
Virtualization
After Service
Virtualization
On-demand (no wait) 0% 27%
Seconds to minutes 0% 14%
30 minutes to 2 hours 0% 10%
4 to 7 hours 2% 17%
1 day 1% 11%
2 days 1% 10%
3 days 9% 8%
4 days 3% 1%
1 week 8% 1%
2 weeks 15% 1%
3 weeks 27% 0%
1 month 14% 0%
2 months 10% 0%
3 months 5% 0%
4 to 6 months 3% 0%
Never (no access
ever)2% 0%
From 32 days to 1 hour, by virtualizing services
1 hourmedian wait time after
service virtualization
Source: voke Market SnapshotTM Report: Service Virtualization – January 2015
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Service Virtualization:In software engineering, service virtualization is a method to emulate the behavior of specific components in heterogeneous component-based applications such as API-driven applications, cloud-based applications and service-oriented architectures.
hpe.com/software/sv
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The concept: virtual services stand in when real services become inaccessible
13
Third party
Pay-per-transaction
Web browser
Mobile app
Application under test
Compositeapplication
API
Existing infrastructure
Under Construction
Mainframe
SAP system
Existing database
Web service and Legacy application
SOAP
REST
JDBC
MQ
RFC
CICS
Data
Perf.
Config.
DesignLearnSimulate
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Minimize risk by simulating all critical elementsUsers, network and applications (legacy, Web, data)
14
User behaviorand load
Constrained services/
applications components
SV
NV
Network characteristic
s
UFT
LR
PC
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Compressing the software development lifecycle with service virtualization
Without service virtualization
With service virtualization
Development System test IntegrationPerformance
testUAT
Development
System
Integration
Performance
UATTime saved
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From a SDLC Best Practice
Line of business
Development Quality assurance Operations
Architecturalreadiness
Customerreadiness
Production readiness
Risk manager, P&L owner,
Requirements communicator
– Create virtual services easily and seamlessly
– Simulate needed systems end to end
– Enable teams to work in parallel…
– Shareable and reusable virtual services that’s easy to maintain
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Trends & Shift in Service Virtualization Adoption
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Used by Participant percentages
QA – software QA or testing (functional, performance,
security)72%
Development – software developers 58%
QA – architects 39%
Development – architects 37%
Release engineering or management 32%
QA – managers 32%
Center of excellence (CoE) 27%
Consultants/professional services 23%
Development – managers 19%
IT – infrastructures 16%
IT – operations/production deployment 14%
IT – lab managers/lab engineers 13%
Training 10%
IT – patch management 6%
IT – system administrator 6%
IT - security 5%
Anyone on-demand 5%
IT - management 4%
Project management 4%
Support 4%
Sales 1%
Technical publications 1%
72%QA (functional,
performance, security)
58%developers
Source: voke Market SnapshotTM Report: Service Virtualization – January 2015
Now, widespread adoption – far beyond QA
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Why customers adopt HPE Service Virtualization
Rationale for adoptionParticipants
percentages
Improve time-to-market 68%
Test earlier in the lifecycle 54%
Enable continuous
integration52%
Performance testing 48%
Parallel development 47%
Scheduling constraints 40%
Restricted access to
dependent services,
components or applications
38%
Test data management 35%
Source: voke Market Snaphot Report Service Virtualization – Jan 2015
Rationale for adoptionParticipants
percentages
Reduce production defects 34%
Reduce capital expenditures
(CAPEX)32%
Simulation of new software 31%
Reduce operational expenditures
(OPEX)31%
Third-party access fees 28%
Mobile development and testing 22%
Network constraints 18%
Simulation of hardware 14%
Replace an internally developed
service virtualization solution12%
68%Improve time-to-market
54%Test earlier in the
lifecycle
52%Enable continuous integration
47%Scheduling constraints
48%Performance testing
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Where customers use service virtualization
Source: voke Market Snaphot Report Service Virtualization – Jan 2015
71%SOA/web service
64%APIs
38%Middleware
36%Applications-legacy
35%Mainframe
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ROI findings from latest service virtualization study 2014-15
Source: voke Market Snaphot Report Service Virtualization – Jan 2015
38%achieved a greater than
50% reduction in defect
reproduction time
36%% achieved a greater than
41% reduction in
production defects
46%achieved greater than 41%
reduction in total defects
34%achieved a decrease of
50%
or greater in test cycle time
20%achieved more than
two times the test coverage
40%achieved a decrease of
40% or greater in software
release cycle time
26%achieved an increase of
two times or greater
of test execution rates
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How organizations successfully introduce Service Virtualization2015 SV Market survey shows…
69%Project and departmental
64%CoE or Enterprise-wide
16%Third-party access
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HPE Service Virtualization v3.8 Key Highlights
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Protocols & virtualization enhancements – broader, expanded support
– Java virtualization – configure on-the-fly, without restart, for greater ease-of-use
– ISO 8583 using JPOS – now simulate and test in critical financial industry environments
– Flat files – easily integrate legacy systems with batch data transfers
<?xml version="1.0" encoding="utf-16"?><configuration>
<managedClasses><include>
<path>com.hpe.*</path></include><exclude>
<path>com.hpe.sv.library.FastOperations</path></exclude>
</managedClasses><virtualizedClasses defaultVs="processMessage">
<class name="com.hpe.sv.example.CustomNumber" /><class name="com.hpe.sv.example.DefaultCalculator"
vs="processMessage" /></virtualizedClasses><endpoint>http://localhost:7290</endpoint>
</configuration>
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Performance and User Experience enhancements
MQ communicationData modeling:
performance and network conditions
Performancemodeling
Easily access messagelogs through web
interface
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Enhanced, seamless HPE tools Integration
– Add UFT/LoadRunner (12.5) services directly from SV Server
– Define and control Network Virtualization parameters within SV
– Experience cleaner and more intuitive user interface
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Simpler trial and training
– Easier to
– Download
– Evaluate
– Learn
– Extended term for free trial and download
– New SV ART Training available
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Quarterly expanding virtualization protocols
28
TRANSPORT
HT
TP
(S)
Gate
way
HT
TP
(S)
Pro
xy
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IBM
WS
MQ
1
JM
S
JD
BC
1
IMS
Co
nn
ec
t
CIC
S T
S
TIB
CO
A
ctive
Ma
trix
/
SA
PN
etW
eaver
RF
C/X
I/P
I
Ora
cle
AQ
Mic
ros
oft
MQ
We
b-
Me
tho
ds
TC
P/I
P
Java
ISO
8583/
JP
OS
Bri
dg
e
Fla
tF
ile
s/
FS
/FT
P/s
MESSAGE
WS/SOAP
XML2
REST (XML, JSON,
Cobol
SQL
IDOC
Fix Length
Text Delimited,
Java Objects
Text
Binary
Protocol supported1 Non-intrusive2 All XML-based protocols supported
New
Updated
SV Protocol Extensibility SDK Available
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HPE Service VirtualizationKey Distinctions
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Why HPE Service Virtualization stands out
30
Complete lifecycle virtualization solution
Easy set-up and use
SAP certification
Portfolio-wide integration
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Complete lifecycle virtualization solution
31
Spanning all essential components: user, service, network,
data
Customers
Employees
Browsers and devices
Mobile carriers and
ISPs
3rd party cloud
services
Content delivery
networks
Major ISP
Distributed Services
Loadbalancers
Webservers
Appservers
DBservers
Mainframe
StorageMobile components
Web Services
Service VirtualizationUser Virtualization Network Virtualization
UV
UV
UV
SV SV
SV SV SV SV
SV SV SV
NV
NV
NV
NV
NVNV
NV NV NV
NV NV NV
NV
Data Everywhere
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SAP certification: The first and only
–SAP Virtualization Introduced (3.0)
– IDOC Response Correlation (3.5)
–Creating SAP service from scratch (3.5)
–Batch Processing Performance Modeling (3.5)
–SAP virtualization in Software AG WebMethods (3.61)
—High scale Performance Optimizations (3.62)— 2.5x higher max IDOCs TPS than the closest
competitor
— Currently Certified Version by SAP
—Usability Improvements (3.7)— Bug fixes and configuration enhancements
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Easy set-up and use
“HP SV provides ease of use and an enjoyable user experience…”– Forrester Research, Service Virtualization Wave
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Portfolio-wide integration
LOAD RUNNER*
SV SERVER
VS
SV MANAGEMENT UI
VS
Deploy Virtual Service
Open/SaveVirtual Service
UNIFIED FUNCTIONAL TESTING
VS
Deploy Virtual Service
SV DESIGNER
VS
Create, Update VS
APPLICATION UNDER TEST
SV Monitoring
Deploy/InitializeVirtual Service VS
UseVirtual Service
Open TestScript/Data
Test Call VS
VS
VS
VS
VS
ALM
VS
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HPE Service VirtualizationCustomer References
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HPE Service Virtualization software customer review
“The benefits are too good not to consider.” – IT Architect, Fortune 500 electronics company
“We shortened test cycles by 30-50%.” – Marc Tuffreau, IT Professional, Sogeti
“Just getting started but already seeing a big benefit.”– IT Architect, Global 500 industrial manufacturing company
“We shortened test cycles by more than 90%.” – Enterprise telecommunication services company
“We see a big benefit in functional and regression testing”– IT Architect, Global 500 industrial manufacturing company
“A clear and highly integrated solution.” – Matthias Scholze, CEO, QMETHODS Business and IT Consulting GmbH
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Service Virtualization Success Story
Org: Performance and Infrastructure CoE
Challenge:
• Modernization of systems after acquisition
• Many systems not available for testing – delays
• Cannot easily recreate production conditions in test env
Results:
• Evaluated SV in FY14. Competitors: IBM and CA Lisa (dropped very early)
• Implementation started with MQ but shifted to REST
• Virtualized critical systems previously repeatedly failing for perf testing
• Specific performance needs included in Design Partnership
• SV ART helping to expand to other audience
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“We want to control our own
destiny and not rely on stubs
created by other departments
so we can adapt and change
faster.”
SAP Performance
Manager
Challenge
Expensive home-grown stubbing solutions maintained by development team
Stubbing solution was expensive to maintain, slow to change and crashing in perf tests
Needed metrics on how the sub/virtual service was performing
Staging data with their current process was some what time consuming
Solutions
HP Service Virtualization SAP IDOC support expanded with Batch Performance Simulation
Built in monitors on how virtual services are performing with out of the box integration to
Performance Center
Optimized SV throughput directly for SAP use cases and scenarios
Results
HP SV processed ~2.5 times more IDOC messages per second than competition
HP Service Virtualization selected as a tool for SAP functional and performance testing
Used by local LOBs for functional integrations and central SAP Performance Test team
Recently run extensive SAP stress testing with 10s of millions of transactions per hour
simulated by SV without any issue (replaced crashing Java stubs)
SAP: Extreme Performance Validation Leading electronics retailer
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Challenge
Deploy more than 200 apps per year. Major delays in testing and were never able to complete
test on time. Test had a lot of down time.
Test blocking issues were: Dependency on third party services, authorization issues, services
not available during working hours, development was always behind.
Solution
Virtualize 3rd party endpoints to validate coding changes
Multiple development teams started using Service Virtualization to eliminate dependencies
Modify performance factors of the virtualize service to ensure upstream calls
Deploy virtual services as shared resource
Results
Reduced test wait time 100%. On average saved 5-8 days/month.
95% of test cases are available through use of HP Service Virtualization.
Increased test cycles and test coverage 45% - previously all test cases run in 112 hours
comparing to just 54 hours with HP SV - 52% saving ($50K/month)
ROI just in 3 months of SV use.
“We can start testing
earlier without waiting the
end to end systems to be
ready. Now we can do
efficient resource
management, predict
schedule and launch apps
in a timely manner.”
Test and Release
Manager, TTNET
Speeding up release cycles by eliminating testing delays for unlimited testingLarge internet service provider - IPTV, Voice over IP and mobile phone services
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Strong customer endorsement continues HP Internal only. Do not distribute
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How to get started
– For latest market trends study, download service virtualization market snapshot report , also at www.hpe.com/software/sv-voke
– For more on HPE SV product, refer HPE SV datasheet
– For free trial evaluation, download HPE SV Software Trial, or at www.hpe.com/software/svtrial
– Top recommended customer reference: GameStop HPE SV customer webcast and followup with GameStop case study (indepth use cases, ROIs).
– For hpe sv demo and analyst perspectives, watch HPE SV & Voke on demand webcast
– For all other great resources, visit HPE SV page on http:// www.hpe.com/software/sv
Note:
Internal HPE SV Sales and Marketing Hub can be accessed at: https://irock.jiveon.com/docs/DOC-120747
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Appendix/Backup Slides
DO NOT DISTRIBUTE- FOR INTERNAL REFERENCE ONLY
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HPE Internal Reference only! Do not distribute.
T-Mobile USA : Leverage HPE Lifecycle Virtualization solutions for Performance Engr & DevOps transformation
43
About the customer
Nation’s fastest 4G LTE network, serves ~61mil wireless customers, under T-
Mobile & MetroPCS brands. Current HPE SW customer & continue to invest in
our products. Most recent purchase: HPE NV and SV to complement its existing
use of CA Lisa tool.
Bus Goal: Pursues a strategy of continuous product & service innovation to
differentiate, keep ahead of competition. Requires almost daily releases of new
applications or new functionality in existing applications.
Challenge: Reduce app dev & design lifecycle time through continuous testing,
CI and engr. Struggled to deploy LISA for enterprise performance engineering
and SAP use cases
Solution: Use HPE SV and NV to virtualize services and network, identify
code/config & network bottlenecks in early stages of dev. Helped reduce app
dev & design lifecycle time.
Results: : Ability to deploy 60+ new or existing applications with code changes
on a daily basis.
• Reduced scripting for stubs by 40% compared to the other tools
• Further reduced time from 2days with Lisa to <5hours with HPE
solutions.
• Reduce time to certify apps by 30% (network and service virtualization)
• Increase system availability to 99.98% (performance engineering)