HPE  Service  Virtualization  Transform  App  Delivery  Lifecycle  with  Speed  and  Agility

Lisa  Binford  – Solution  Architect

HPE  addresses  the  spectrum  of  ALM  stakeholders

HPE  ALM  

Unified,  Automated,  Collaborative

Manual  tester

Business  analyst

Quality  Assurance Developer  (SAP/ORCL)

Developer  (Java/.Net)

Mobile   tester

Performance  engineer

VP  of  AppsScrum  Master

Functional  test  engineer

Unified  Functional  Testing

Sprinter

Agile  ManagerIT  Business  Analytics

Performance  Center

Mobile  Center

70+  Developer  Tool  integrations

Requirements  Management

Quality  Center

Stakeholders  use  their  tool  of  choice,  while  sharing  resources  with  complete  traceability  for  a  unified  ALM  experience

Included  with  ALM

Separately  Licensed

Business   Process  Testing

Network  Virtualization

Service  Virtualization

LoadRunner

StormRunner   Load

Project  and  Portfolio  ManagementProject  Manager

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/

Mobile

Cloud

Dev Ops

Agile

Modern applications redefine application development

You can’t do anything until you have everything; and you never have everythingConsequences

84%QA work delayed while waiting

81%Development work delayed

while waitingSource:   voke Market   SnapshotTM Report:   Service   Virtualization   – January   2015

?

Wait time Before  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  opportunity?  

Wait time Before  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  days

average  wait  time

The  Solution?...Service  Virtualization  technology

7

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.

Wait time Before  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 afterservice virtualization

Source: voke Market SnapshotTM Report: Service Virtualization – January 2015

The concept: virtual services stand in when real services become inaccessible

Existing Infrastructure

Mainframe

JDBC

SOAP

RFC/IDOC

MQ/CICS

Third Party

Application Under Test

Mobile App

Web browser

Composite Application

API

SAP System

Existing database

Web service andLegacy application

RESTPay-per-transaction

Underconstruction

Service Virtualization

SOAPRESTJDBCMQRFCCICS

Simulation

Data

Perf.

Config

Agile Application Development

ApplicationBackend

Mainframe

CRM

3rd PartyPayment

RESTSVVirtual Claim

Service

SimulatedTransactions

Development/Design Documentation

Decreased Software Cycle23%

Performance Insights

3 challenges with 3 solutions in 1 simulated environmentPerformance Testing

ApplicationBackend

Mainframe

CRM

3rd PartyPayment

SVVirtual

MF

VirtualCRM

VirtualPay

Mobile App

Desktop App

Web App

NVNetworkCondit.

WiFi

3G4G

VPN

2.5G

21

3

100K Users

Load Generators

Virtual users

Performance Center

Increased Test Coverage45%

Simulated, virtual reality helps to minimize the risk

Virtualize across application development and test

• Users (Virtual Users)• Network characteristics• Application Dependencies• Web services• Legacy systems

• Data everywhere Network characteristics

Constrained services/ application components

SV

NV

User behavior and load

Frontend/Backend DataDV

PCLR

UFTMC

SR

NV

13

Compressing the software development lifecycle with service virtualization

Without service virtualization

With service virtualization

Development System Test Integration Performance Test UAT

Development

System

Integration

Performance

UATTime saved

Used by Participant percentagesQA – 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

Easy  set-­up  and  use

“HPE  SV  provides  ease  of  use  and  an  enjoyable  user  experience…”  – Forrester  

Research,  Service  Virtualization  Wave

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

Why  customers  use  HPE  Service  VirtualizationRationale for  adoption Participants

percentages

Improve  time-­to-­market 68%

Test  earlier  in  the  lifecycle 54%

Enable  continuous  integration 52%

Performance testing 48%

Parallel development 47%

Scheduling  constraints 40%

Restricted access  to  dependent  services,  components  or  applications 38%

Test  data  management 35%

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  developmentand  testing 22%

Network  constraints 18%

Simulation  of  hardware 14%

Replace  an  internally  developed  service  virtualization  solution 12%Source:   voke Market   Snaphot Report   Service   Virtualization   – Jan   2015

How  organizations  successfully  introduce  Service  Virtualization2015  SV  Market  survey  shows..Nature  of  use Participant  percentagesPilot  project 22%

Project-­based 38%

Departmental 31%

Available via  Center  of  Excellence  (CoE) 19%

Enterprise-­wide 19%

Accessible  to third  party  offshore  teams 10%

Accessible  to  entire  software  supply  chain  including  third-­party  partners  and  suppliers 6%

69%project  and  departmental

64%CoE or  Enterprise-­wide

16%third-­party  access

Typical  customer  use  of  Service  Virtualization

Types of  assets   virtualized Participantspercentages

SOA/web  service 71%

APIs 64%

Middleware 38%

Applications  – legacy 36%

Mainframe 35%

Data – test  data 34%

Data  – databases 33%

External  software  – third-­party software  or  services 33%

Applications  – ERP/packaged 29%

Applications  – new 29%

Architectures 17%

Lab  environments 15%

Data  – mobile 15%

71%SOA/web  services

64%APIs

Types of  assets   virtualized Participantspercentages

Mobile  – architectures 12%

External  software  – entire  software  supply  chain 11%

Mobile  – carrier  networks 10%

User  interfaces 10%

Mobile  – devices 9%

Mobile  – development  platforms 8%

Mobile  – user  interfaces 7%

Network  infrastructure 7%

Data  – big  data 6%

Operating systems 6%

Embedded  systems 5%

Networked  elements  or  appliances 4%

Mobile – operating  systems 3%Source:   voke Market   Snaphot Report   Service   Virtualization   – Jan   2015

ROI  findings  from  latest  service  virtualization  study  2014-­15

Category Metric

Reduced  defect  reproduction 38%  achieved  a  greater  than  50%  reduction in  defect  reproduction  time

Reduced  production  defects 36% achieved  a  greater  than  41%  reduction  in  production  defects

Reduced  total  defects 46%  achieved  greater  than  41%  reduction  in  total  defects

Increased  test  coverage 20%  achieved  more  than  two  times  the  test  coverage

Increased test  execution 26%  achieved  an  increase  of  two  times  or  greater  of  test  execution  rates

Reduced test  cycle  time 34%  achieved  a  decrease  of  50%  or  greater  in  test  cycle  time

Reduced  software  release  cycle  time 40%  achieved  a  decrease  of 40%  or  greater  in  software  release  cycle  time

Source:   voke Market   Snaphot Report   Service   Virtualization   – Jan   2015

Quick and Easy Virtual Service Creation

• Easy and Intuitive IDE• Embedded SV Runtime for local

use• Predefined Virtualization starting

points• Dialog based service creation• Data oriented Functional Modeling• Learning, Data Driving, Manual

Authoring (Request-Responses)• Performance and Scalability

Modeling• Simulation Logging and Preview• Pre-defined Technologies with

Extensibility SDK

Visual Modeling IDE Dialog Based

Wizards

Visual Data Modelling

Visual Performance

Modelling

Pre-packaged Technologies

Scalable Virtual Service Infrastructure with Shared Mgmt.

• Shared, Scalable and Secured Simulation Infrastructure • Web Based Virtual Service

Management Interface and Dashboard• Unified VS management across

multiple SV Server Nodes • Parameterized filtering and search• Provisioning and Control of Virtual

Environments• ACL management – Users/groups• Integrated to ALM/QC, VCS and

other repositories • Integrated with Enterprise Identity

System (LDAP)

Management and

Administration

Virtual Service

Provisioning and Control

Virtual Service and

ServerMetrics

SV Server Dashboard

UFT/MC/LR/PC/SR/NVDesigned for Use with HPE Testing Toolset

Virtual Services Real-

time Performance

Virtual Services Real-

time Performance

Test reports with Virtual

Service metrics stored

in ALM

Control VirtualizationFrom Inside UFT/LR/PC

Integrated with HPE ALM/QC, SVN, Jenkins

• Store Virtual Services with Development or Testing Assets• Version Control• Collaboration with Check-

out/Check-in support• Complete traceability • ALM integrated from SV

Designer, Server and SV Integration in Automation Tools

Virtual Service Projects

Versions, Revisions &

Dependencies

ALM & VCS Repositories in SV Designer

SV Management Integrated with

ALM/QC Repository

Virtual service management automationIntegrate 3rd party development tools, ides, build and Continuous integration systems

• Control Virtual Services from command line and external scripts using SVConfigurator tool

• Supports full Virtual Service lifecycle over API/Command Line

• Java based, multi OS, supporting ANT tasks• Deploy/un-deploy Virtual Services to/from any HPE SV Server

• Change mode of a Virtual Service (including Learning)

• View Virtual Service details and metrics;

• List/Export/Update deployed Virtual Services and Projects

• Unlock Virtual Service locked by another user

• JavaDoc like documentation

26

Quarterly expanding Virtualization Protocols

TRANSPORT

HTTP(S)

Gateway

HTTP(S)  

Proxy1

IBM  WS

MQ1

JMS

JDBC1

IMS

Connect

CICS  TS

TIBCO  

Active

Matrix/

EMS1

SAP

NetWeave

rXI/PI,  

ABAP

Oracle  

AQMicroso

ft MQ

Web-­

Methods  

IS1

TCP/IP

JDK

(Beta)

MESSAGE

WS/SOAP ü ü ü ü ü ü ü ü ü

XML2 ü ü ü ü ü ü ü ü ü

REST  (XML, JSON,  Bin)

ü ü ü ü

Cobol ü ü ü ü

SQL ü ü ü ü

RFC/IDOC ü ü

Fix  Length ü ü

Java  Objects ü

Text ü ü ü ü ü ü ü ü ü ü ü ü ü

Binary ü ü ü ü ü ü ü ü ü ü ü ü ü

ü Protocol supported1 Non-intrusive2 All XML-based protocols supported

New Updated

SV Protocol Extensibility SDK Available

HTTP  Virtu

alized  Ser

vices

Invocatio

n

R&D  Laptop6GB

Windows  7  x64 Windows  Server  2008  R2  x64Intel®  Xeon®  X5660  2.8  GHz

2x6  Cores,  Hyper-­‐threading  OFF32GB

DB  Storage

Windows  Server  2008  R2  x64Intel®  Xeon®  5160  2.66  GHz

2x2  Cores16GB

4  x  LoadRunner  GeneratorWindows  Server  2008  R2  x642  x  Intel®  Xeon®  5150  2.66GHz

8GB

Virtual  Service  Management

 Con

nections

Storage  Access

SV  ServerSV  Designer

Service  Clients

SQL  Server  2008  R2

IBM  MQ  7.0.1.3Windows  Server  2003  R2  x64Intel®  Xeon®  5150  2.66  GHz

2x2  Cores8GB

Queue

Send./Rec.

Queue  Send./Rec.

HPE Service Virtualization 3

Benchmark ObjectiveHPE Service Virtualization performance benchmark studiesmaximum number of transactions (requests) per second of HPEService Virtualization Server v3.00In this test 4*N clients are invoking two randomly chosen servicesfrom 200 deployed services in SV Server - where N is number ofSV Server CPU cores.

Figure 1. Deployment diagram.

Table 1. Benchmark characteristics.

DeploymentHPE Service Virtualization Server is installed on Intel Xeon X5660with 2x6 CPU Cores, 32GB memory machine. Database wasinstalled on Xeon 5160 with 2x2 CPU Cores, fixed 300GB 15k diskas a storage. To load virtualized services we used four HPE LoadRunner generators.

Parameter Value

Message structure 30  elements  (average)

Deployed services 200

Concurrent clients 48

Service  model  size 1000  unique  messages

Protocol HTTP/SOAP

Physical Server 1

Physical Server 2

4 x Physical Server

Laptop

Maximum  Transactions  Benchmark

ConclusionMaximum transactions benchmark test shows scalability of HPEService Virtualization Server. SV Server is capable of handling2900 TPS and 3700 TPS with in-memory simulation on 12 coreCPU Intel machine with linear grows of response time after fullCPU utilization.

ResultsHPE Service Virtualization Server version 3.00 simulates 2900 TPS(transactions per second) or 10,440.000 TPH (transactions per hour)in steady state with 48 parallel users (Figure 2)

In-­memory and pre-­loading of simulation data into memory enhancesperformance by up to 25%, depending on scenario.

HPE Service Virtualization Server performance improves to 3700TPS or 13,320.000 TPH with in-­memory simulation enabled.

Figure   2.  Number   of  transactions   per  second.

Figure   3.  Virtual  Service  response   time  dependence   on  number   of   parallel  users.   Each   color  represents   different  service  operation.

Figure 4. server CPU (red) and database CPU (green) utilization.

Response time is linearly dependent on number of parallel users(Figure 3) It goes down after a short warm up and l inear ly up fromabout 20 users. This linear growths is consequence of high CPUutilization This slowdown is typical for today’s server basedapplications.CPU utilization grows linearly until its 100% capacity at which pointslowdown of response time starts growing (Figure 4)SV Server CPU utilization is more significant than database CPUutilization, thus limiting factor for SV Server scalability is number ofserver CPU Cores.

2900  TPS   with  Database3700  TPS   with  In-­memory  Simulation

28

SV core of the ADM solutionsResults delivered to you and your customers

ROLES

Agile Project Management

ALM with Requirements Definition and Management

Automated Functional and Performance Testing

Customizable Social Workflows

Network and ServiceVirtualization

DevelopmentManagement and Continuous Integration

Security Validation

Proven customer benefits:• 80% reduction of defects in production• 90% of resources focused on innovation• 100% elimination of resource wait time

SOLUTIONS

DevelopmentTest

A unified platform, fully integrated with heterogeneous DevTestOps solutions

• Extensible Repository• 360-degree 7-way traceability• End-to-end analytics• Shared data and processes• Enterprise proven results

OperationsBusiness

Enterprise System Architects

IT Security

29