SlideShare a Scribd company logo
1 of 33
Download to read offline
RED HAT FORUMS
How to tackle barriers of
Application Modernization
Masahiko Umeno
Chief Technologist
15th Nov. 2019
AP16
Frequent spoken subject about application renewal
2
From Business side Architecture granularity Dev.
method
Org. Motivation Estimation
method
Unusable GUI and work flow… √ √ √
Gave up new biz due to long duration of development
even if it was great idea
√ √ √
Input data many times due to different application √ √
From IT side Architecture granularity Dev.
method
Org. Motivation Estimation
method
No budget for renewal √ √ √ √
Worry about a migration due to too huge system √ √ √ √ √
Completely Black boxed √ √ √
Take a several year to clarify requirements through
source code
√ √ √
Don’t want to do it! reminds of Death March project √ √ √ √
No engineer / programmer available √ √ √
No leaders who have strong will √ √ √ √
Agenda
3© Red Hat K.K.
•
•
•
What to do in Application Modernization
4
Design
Operation
Design/Build
DB
Build Logic
Definition
Service
Define
Microservice
Branch data
for parallel
Design data
migration
Test Logic
Transfer
past data
Accept data
from new app
Design
Platform
Build Platform
Design UI
Design
Process
Design
Integration
Collect
old/new data
Build UI
Comparison
Old/New
Design
Architecture
Coordination
with Business
Coordination
with Business
Build/Test
Monitoring
Test Fault
tolerance
Test /
Progress def.
Design service
integration
Build/Test
Srvc. integration
Operation
Training
Build Process Test Process
Architecture
System is huge…
6
Application was composed by each
simple structure at first
http://combine-art.com/html/blog/matsumoto/post/blog.php?post_id=1526
Kowloon Walled City
System is huge…
7
Even though the floor
height is slightly
different, it is the same
building height, but the
number of floors is
different
Somehow same height on
the top floorObviously
added
Living?
http://combine-art.com/html/blog/matsumoto/post/blog.php?post_id=1526
Kowloon Walled City
Application Architecture
8O : I - -
M ):H C: H ::C AD D AD H H B: H H ::C AD
( C C D AD D C:: ID C : E :K C DAAD H ::C H :AA ID C : I A I C A:M A:
(A : DA:H
DA: I : K :
H: ,CI: : ,CE I / IE I ) I , : K :
D :HH I I H . C :B:CI D : H: D :HH : K :
): H DC ( : ( A A I DC ,C : :C : ): H DC : K :
) I ) I D B I D C ID H : :A I DC A / : I -: A : ) I : K :
EEA I DC ,CI: I DC : H: K :H CH I DC . C :B:CI
AAD I: B HI: H C ) C BEA:B:CI :M :EI DC C I : EE
. M: I C AD C H HE :II I B :H CD A:M A I C C :H
9
Application Architecture
ESB / Application
Mobile
Application
Get
Parame
ters
Cautio
n Map
ATM
Map
Billing
Calc.
SSO API Gateway : Auth/ Policy/ Flow restriction
API A API B API C API Z
Rule
Engine
Clear the role for each components
• API Gateway: Access Control of API, Statistics Management,
Billing Management
• Fuse: Service call (API), Transaction Manager
• Rule Engine: API call pattern from Fuse, Decision of data which
need to use, Billing calculation
Rule
Engine
Service
Rule
Engine
DB
API D
10
Loose coupling with Rule / Process /Data / Application
HR
Settkement
Salary
Training
StatusProcess Start
Department chk
Personnel chk
Reason chk
Position Appropriate
Training Appropriate
Saraly
Personnel
Wait for
Approval
Task List
Approval
Fetch Data
By employee
number
Feed all data
Return Result
Task Start
Fetch Data
Decision
Store Data
Task Fin
Approved
Get List
Fetch Data
App/Reject
Input
Response
Response
Status
HR
Settlement
Status
Decision Service
Data Service
Process ServiceThis architecture is being used in over
100 projects in Japan
Target and Granularity
What and how to migrate
12
Look into system attributes
Ex) change frequency and migration difficulty >> map to quadrant
Bulk migration: Too risky
One by one migration: I have no clue where to start…
Start small,
Expand successful experiences
Reduce Risk
>> Understand Iterative development is better than Waterfall development.
But we have no experience
Choose first implementation targets
13
High migration difficulty
Low change
frequency
Salted Best for successful experience
Re-writeTentative APIed
High change
frequency
Low migration difficulty
Service / Microservice
14
• What is “Service”
• One business provided by an organization such as a department, section
• Ex) All of the issuance of various certificates such as a copy of family register and
resident card by the Residents Section
• What is “Microservice”
• One serving provided by a person belonging to the organization
• Ex) Acceptance / issuance / provision of application for copying family register /
resident's card and receipt of money
• Not every single function
• Ex) Confirmation of presence / absence of address notation, conversion of Japanese
and Western calendar, calculation of number of sheets, etc.
• With a certain level of granularity where functions are integrated and
the type of input / output is not complicated >>Microservice
.
15
Service : Business point of view
Design
Operation
Design/Build
DB
Build Logic
Definition
Service
Define
Microservice
Branch data
for parallel
Design data
migration
Test Logic
Transfer
past data
Accept data
from new app
Design
Platform
Build Platform
Design UI
Design
Process
Design
Integration
Collect
old/new data
Build UI
Comparison
Old/New
Design
Architecture
Coordination
with Business
Coordination
with Business
Build/Test
Monitoring
Test Fault
tolerance
Test /
Progress def.
Design service
integration
Build/Test
Srvc. integration
Operation
Training
Build Process Test Process
Service
• Contract
• Purchasing
• Delivery date
• Billing
• Production Planning
• Inventory
• …
16
Service : System point of view
Design
Operation
Design/Build
DB
Build Logic
Definition
Service
Define
Microservice
Branch data
for parallel
Design data
migration
Test Logic
Transfer
past data
Accept data
from new app
Design
Platform
Build Platform
Design UI
Design
Process
Design
Integration
Collect
old/new data
Build UI
Comparison
Old/New
Design
Architecture
Coordination
with Business
Coordination
with Business
Build/Test
Monitoring
Test Fault
tolerance
Test /
Progress def.
Design service
integration
Build/Test
Srvc. integration
Operation
Training
Build Process Test Process
Integration Service
Platform Service
Data Service
Decision Service
Operation Service
User Interface Service
Decision Service
Process Service
Granularity of Unit
17) D
• A D C A B D
• (H K B AD AA D AE C D D
• (H E D EC C E D C
• EC CC C A D A B D (CD D D BI
-B B D N
• B C B CC H
• , C ED D B D C B CDB D I B C C
• D E D C CC BI D H CD AA D K BDE B
. B D BDE D B B D D C B C C
CCE C
• " " B D D C
18
Microservice
Design
Operation
Design/Build
DB
Build Logic
Definition
Service
Define
Microservice
Branch data
for parallel
Design data
migration
Test Logic
Transfer
past data
Accept data
from new app
Design
Platform
Build Platform
Design UI
Design
Process
Design
Integration
Collect
old/new data
Build UI
Comparison
Old/New
Design
Architecture
Coordination
with Business
Coordination
with Business
Build/Test
Monitoring
Test Fault
tolerance
Test /
Progress def.
Design service
integration
Build/Test
Srvc. integration
Operation
Training
Build Process Test Process
Integration Service
Platform Service
Data Service
Decision Service
Operation Service
User Interface Service
Decision Service
Process Service
Contract Billing
Production
Planning
Inventory
…
Purchasing
Delivery
date
The cross of red and blue sell (like a yellow frame cell) are “microservice”
Granularity of Unit (Example of “Decision Service”)
19.
App
Order Detail
Shipping Chg
Discount
Commission
Sum
Too much fine grain
Input
Output
DB
Call Rule
Call Rule
Call Rule
Call Rule
Call Rule
Get Data
Get back to
App
Order Detail
Shipping Chg
Discount
Commission
Sum
Appropriate grain
Input
Output
DB
Call Rule
Get back to
Make all decisions
and return results
with a single rule call
Get Data
Not to use as Function Call
Not too large granularity with DB access
Unit to be processed with a certain degree of unity
Standardization / Individual
20
Design
Operation
Design/Build
DB
Build Logic
Definition
Service
Define
Microservice
Branch data
for parallel
Design data
migration
Test Logic
Transfer
past data
Accept data
from new app
Design
Platform
Build Platform
Design UI
Design
Process
Design
Integration
Collect
old/new data
Build UI
Comparison
Old/New
Design
Architecture
Coordination
with Business
Coordination
with Business
Build/Test
Monitoring
Test Fault
tolerance
Test /
Progress def.
Design service
integration
Build/Test
Srvc. integration
Operation
Training
Build Process Test Process
) )
( ) ) ) )
Development methods and
Organization
”Black boxed”?
22
• No requirement documents
• Only SIer did application design and build
• Only Source Code exists
Can you make it somehow?
Oh, yes.. but if you have bottomless money and duration of a century…
Escape from “Black Boxed”
23
No clue even if you ask Business div. >> Stop the Application Immediately!!
Who will take a responsibility if annoying customers when someone overwrite a source?
The person who was in charge quit >> Responsibility belongs to a department, not a person
Should be clarified what kind of process is performed for what purpose as the responsibility of
the department
Nobody knows at IT >> Ask Div. who ordered application or took over
In most cases someonehas information!!
Escape from “Black Box”
24,
Work everyone knows >> Trunk
Work understood by the person in charge of a
project >> Twig
Work understood by the dep in charge >> Branch
Basic Rule
% 9
, . , 9 , ,
% 9 !
Our use case
25)(
Not used Logic
Alive Logic
The result of processing past 5 years data
Realized!!
It was complicated, costly and time
consuming because worrying about
unused logic when adding/changing
logic.
40%
60%
) ) ) ) . .
Visualize Data/Logic
26
CustomerCredit SKU
Dealing
Inventory
Summary
Delivery Date
Past
Transaction
Derivation for
payment terms and
tradable amount
Delivery Production Plan
Parts unit price x number
Wage, delivery fee, margin
Quotation
Inventory allocation, order
lead time, production lead
time
Order
Data & Decision & RuleCorrelation of
Decision Requirement Diagram by OMG
Iterative development (Rule)
27
Biz Rule
Biz Knowledge
Create rule
Input Data
(Past data)
Expectation
(Past processed data)
Executed Result
Test Result
Biz Person
Test (match Result & Expectation
at Rule Engine)
Ask
Development Method – Waterfall
28
Items Notes
Estimation In order to clarify the deliverables in each phase, it is easy to perform the
administrative procedures on the ordering side and the receiving side.
Overall picture It is easy to grasp the whole data design etc. used in each system.
Items Notes
Business Agility In terms of calculation of estimated man-hours, it is difficult to receive additional
requirements until completion, so business side requests are not accepted until
stable operation, and business side satisfaction is low.
Quality Since the actual definition of the requirement and design accuracy is not verified,
rework is likely to occur, and the order-receiving side takes immediate measures, so
it is easy to accelerate logic spaghetti.
Dev method Even if a better development method is discovered in the course of development,
reduction of man-hours and improvement of quality will be limited, due to fears that
control will not work and quality will deteriorate if the basics are changed.
Pros
Cons
Development method – Iterative
29
Items Notes
Biz Agility Necessary and unnecessary functions can be confirmed at an early stage with business
users, so that business improvement requests can be received, and business improvement
can be continued even in long-term construction projects.
Quality Problems that can be identified only after deploying and testing are not identified at the
final stage, but we must address at an early stage to minimize problems and improve
quality.
Dev method By reviewing the design, development and testing when one sprint is completed, it is easy
to make improvements and accelerate man-hour reduction and quality improvement. The
faster the failure occurs, the easier quality to improve.
Items Notes
Overall picture An organization that manages each sprint is necessary, because the overall image
tends to be difficult to grasp by minimizing the design and implementation range.
Development method
30
Design
Operation
Design/Build
DB
Build Logic
Definition
Service
Define
Microservice
Branch data
for parallel
Design data
migration
Test Logic
Transfer
past data
Accept data
from new app
Design
Platform
Build Platform
Design UI
Design
Process
Design
Integration
Collect
old/new data
Build UI
Comparison
Old/New
Design
Architecture
Coordination
with Business
Coordination
with Business
Build/Test
Monitoring
Test Fault
tolerance
Test /
Progress def.
Design service
integration
Build/Test
Srvc. integration
Operation
Training
Build Process Test Process
Coverage of Red Hat
31
Design
Operation
Design/Build
DB
Build Logic
Definition
Service
Define
Microservice
Branch data
for parallel
Design data
migration
Test Logic
Transfer
past data
Accept data
from new app
Design
Platform
Build Platform
Design UI
Design
Process
Design
Integration
Collect
old/new data
Build UI
Comparison
Old/New
Design
Architecture
Coordination
with Business
Coordination
with Business
Build/Test
Monitoring
Test Fault
tolerance
Test /
Progress def.
Design service
integration
Build/Test
Srvc. integration
Operation
Training
Build Process Test Process
/ /
/ / /
/ B / / /
/ /
/ / / /
/
/ /
/ / /
/ / / /
/
/
/
A
Conclusion
32© Red Hat K.K.
How to tackle barriers of Application Modernization…
• Renovate the architecture maintainability with consideration
• Determine the granularity of system migration based on business and
Application architecture considering as a ”Microservice”
• Do Not start from analysis source code
• ”Trunk” first, and then ”Branch" with test-driven Iteration dev.
• A streamlined and simplified process is absolutely necessary
, ,
linkedin.com/company/Red-Hat
youtube.com/user/RedHatAPAC
facebook.com/RedHatAPAC
twitter.com/Red_Hat_APAC
RED HAT FORUMS
, .
, . , ,
,

More Related Content

Similar to Rhf2019 how totackle barriersofapplicationmodernization_ap16_en

IoT's impact on products design and innovation - LibreCon 2016
IoT's impact on products design and innovation - LibreCon 2016IoT's impact on products design and innovation - LibreCon 2016
IoT's impact on products design and innovation - LibreCon 2016LibreCon
 
Using Metrology Software to Capture Data for Reverse Engineering
Using Metrology Software to Capture Data for Reverse EngineeringUsing Metrology Software to Capture Data for Reverse Engineering
Using Metrology Software to Capture Data for Reverse EngineeringDesign World
 
Resume- Purnendu Tiwary_Mainframe_9.4 yrs
Resume- Purnendu Tiwary_Mainframe_9.4 yrsResume- Purnendu Tiwary_Mainframe_9.4 yrs
Resume- Purnendu Tiwary_Mainframe_9.4 yrsPurnendu Tiwary
 
Neo4j Aura on AWS: The Customer Choice for Graph Databases
Neo4j Aura on AWS: The Customer Choice for Graph DatabasesNeo4j Aura on AWS: The Customer Choice for Graph Databases
Neo4j Aura on AWS: The Customer Choice for Graph DatabasesNeo4j
 
Skye Sant - NEW PLATFORM case study (Sr UX)
Skye Sant - NEW PLATFORM case study (Sr UX)Skye Sant - NEW PLATFORM case study (Sr UX)
Skye Sant - NEW PLATFORM case study (Sr UX)Skye Sant
 
Squirreling Away $640 Billion: How Stripe Leverages Flink for Change Data Cap...
Squirreling Away $640 Billion: How Stripe Leverages Flink for Change Data Cap...Squirreling Away $640 Billion: How Stripe Leverages Flink for Change Data Cap...
Squirreling Away $640 Billion: How Stripe Leverages Flink for Change Data Cap...Flink Forward
 
Customer Story: Elastic Stack을 이용한 게임 서비스 통합 로깅 플랫폼
Customer Story: Elastic Stack을 이용한 게임 서비스 통합 로깅 플랫폼Customer Story: Elastic Stack을 이용한 게임 서비스 통합 로깅 플랫폼
Customer Story: Elastic Stack을 이용한 게임 서비스 통합 로깅 플랫폼Elasticsearch
 
InterConnect 2017 : Cognitive DevOps: Get Rid of the Guesswork to Improve Sof...
InterConnect 2017 : Cognitive DevOps: Get Rid of the Guesswork to Improve Sof...InterConnect 2017 : Cognitive DevOps: Get Rid of the Guesswork to Improve Sof...
InterConnect 2017 : Cognitive DevOps: Get Rid of the Guesswork to Improve Sof...DevOps for Enterprise Systems
 
lte-roll-out-platform-58636724
lte-roll-out-platform-58636724lte-roll-out-platform-58636724
lte-roll-out-platform-58636724satish kumar bandi
 
Continuous Delivery Summit London '17
Continuous Delivery Summit London '17Continuous Delivery Summit London '17
Continuous Delivery Summit London '17Sébastien Lemmens
 
OpenEdge Character UI - Where to go?
OpenEdge Character UI - Where to go?OpenEdge Character UI - Where to go?
OpenEdge Character UI - Where to go?Gabriel Lucaciu
 
Cc 2009 091202
Cc 2009 091202Cc 2009 091202
Cc 2009 091202apartridge
 
Integrating Advanced Analytics with Autodesk Solutions
Integrating Advanced Analytics with Autodesk SolutionsIntegrating Advanced Analytics with Autodesk Solutions
Integrating Advanced Analytics with Autodesk SolutionsRich Hanapole
 
Integrating BIM & GIS - Closing the Data Loop, September 2019
Integrating BIM & GIS - Closing the Data Loop, September 2019Integrating BIM & GIS - Closing the Data Loop, September 2019
Integrating BIM & GIS - Closing the Data Loop, September 2019Esri Ireland
 
Computer graphics 9068
Computer graphics  9068Computer graphics  9068
Computer graphics 90681061992
 

Similar to Rhf2019 how totackle barriersofapplicationmodernization_ap16_en (20)

IoT's impact on products design and innovation - LibreCon 2016
IoT's impact on products design and innovation - LibreCon 2016IoT's impact on products design and innovation - LibreCon 2016
IoT's impact on products design and innovation - LibreCon 2016
 
Using Metrology Software to Capture Data for Reverse Engineering
Using Metrology Software to Capture Data for Reverse EngineeringUsing Metrology Software to Capture Data for Reverse Engineering
Using Metrology Software to Capture Data for Reverse Engineering
 
AppliFire Platform
AppliFire PlatformAppliFire Platform
AppliFire Platform
 
Abhijeet mitra
Abhijeet mitraAbhijeet mitra
Abhijeet mitra
 
Resume- Purnendu Tiwary_Mainframe_9.4 yrs
Resume- Purnendu Tiwary_Mainframe_9.4 yrsResume- Purnendu Tiwary_Mainframe_9.4 yrs
Resume- Purnendu Tiwary_Mainframe_9.4 yrs
 
Neo4j Aura on AWS: The Customer Choice for Graph Databases
Neo4j Aura on AWS: The Customer Choice for Graph DatabasesNeo4j Aura on AWS: The Customer Choice for Graph Databases
Neo4j Aura on AWS: The Customer Choice for Graph Databases
 
Skye Sant - NEW PLATFORM case study (Sr UX)
Skye Sant - NEW PLATFORM case study (Sr UX)Skye Sant - NEW PLATFORM case study (Sr UX)
Skye Sant - NEW PLATFORM case study (Sr UX)
 
Squirreling Away $640 Billion: How Stripe Leverages Flink for Change Data Cap...
Squirreling Away $640 Billion: How Stripe Leverages Flink for Change Data Cap...Squirreling Away $640 Billion: How Stripe Leverages Flink for Change Data Cap...
Squirreling Away $640 Billion: How Stripe Leverages Flink for Change Data Cap...
 
Customer Story: Elastic Stack을 이용한 게임 서비스 통합 로깅 플랫폼
Customer Story: Elastic Stack을 이용한 게임 서비스 통합 로깅 플랫폼Customer Story: Elastic Stack을 이용한 게임 서비스 통합 로깅 플랫폼
Customer Story: Elastic Stack을 이용한 게임 서비스 통합 로깅 플랫폼
 
InterConnect 2017 : Cognitive DevOps: Get Rid of the Guesswork to Improve Sof...
InterConnect 2017 : Cognitive DevOps: Get Rid of the Guesswork to Improve Sof...InterConnect 2017 : Cognitive DevOps: Get Rid of the Guesswork to Improve Sof...
InterConnect 2017 : Cognitive DevOps: Get Rid of the Guesswork to Improve Sof...
 
SaurabhKasyap
SaurabhKasyapSaurabhKasyap
SaurabhKasyap
 
lte-roll-out-platform-58636724
lte-roll-out-platform-58636724lte-roll-out-platform-58636724
lte-roll-out-platform-58636724
 
Continuous Delivery Summit London '17
Continuous Delivery Summit London '17Continuous Delivery Summit London '17
Continuous Delivery Summit London '17
 
OpenEdge Character UI - Where to go?
OpenEdge Character UI - Where to go?OpenEdge Character UI - Where to go?
OpenEdge Character UI - Where to go?
 
Cc 2009 091202
Cc 2009 091202Cc 2009 091202
Cc 2009 091202
 
Integrating Advanced Analytics with Autodesk Solutions
Integrating Advanced Analytics with Autodesk SolutionsIntegrating Advanced Analytics with Autodesk Solutions
Integrating Advanced Analytics with Autodesk Solutions
 
Integrating BIM & GIS - Closing the Data Loop, September 2019
Integrating BIM & GIS - Closing the Data Loop, September 2019Integrating BIM & GIS - Closing the Data Loop, September 2019
Integrating BIM & GIS - Closing the Data Loop, September 2019
 
Computer graphics 9068
Computer graphics  9068Computer graphics  9068
Computer graphics 9068
 
Resume
ResumeResume
Resume
 
Ajay_Pega_LSA.DOCX
Ajay_Pega_LSA.DOCXAjay_Pega_LSA.DOCX
Ajay_Pega_LSA.DOCX
 

More from Masahiko Umeno

RHF2021_ポイントは業務視点.pdf
RHF2021_ポイントは業務視点.pdfRHF2021_ポイントは業務視点.pdf
RHF2021_ポイントは業務視点.pdfMasahiko Umeno
 
資料用_B1_mumeno_RHF_2014_wo_pic.pdf
資料用_B1_mumeno_RHF_2014_wo_pic.pdf資料用_B1_mumeno_RHF_2014_wo_pic.pdf
資料用_B1_mumeno_RHF_2014_wo_pic.pdfMasahiko Umeno
 
Why we should consider Open Hybrid Cloud.pdf
Why we should  consider Open Hybrid Cloud.pdfWhy we should  consider Open Hybrid Cloud.pdf
Why we should consider Open Hybrid Cloud.pdfMasahiko Umeno
 
Open Hybrid Cloudを検討すべき理由.pdf
Open Hybrid Cloudを検討すべき理由.pdfOpen Hybrid Cloudを検討すべき理由.pdf
Open Hybrid Cloudを検討すべき理由.pdfMasahiko Umeno
 
Application Modernizationの障壁にどう取り組むか
Application Modernizationの障壁にどう取り組むかApplication Modernizationの障壁にどう取り組むか
Application Modernizationの障壁にどう取り組むかMasahiko Umeno
 
Next generation business automation with the red hat decision manager and red...
Next generation business automation with the red hat decision manager and red...Next generation business automation with the red hat decision manager and red...
Next generation business automation with the red hat decision manager and red...Masahiko Umeno
 
Master the RETE algorithm
Master the RETE algorithmMaster the RETE algorithm
Master the RETE algorithmMasahiko Umeno
 
RETEアルゴリズムを使いこなせ
RETEアルゴリズムを使いこなせRETEアルゴリズムを使いこなせ
RETEアルゴリズムを使いこなせMasahiko Umeno
 
Business Resource Planner (RHF2017 Tokyo)
Business Resource Planner (RHF2017 Tokyo)Business Resource Planner (RHF2017 Tokyo)
Business Resource Planner (RHF2017 Tokyo)Masahiko Umeno
 
Artificial Intelligence
Artificial IntelligenceArtificial Intelligence
Artificial IntelligenceMasahiko Umeno
 
レッドハットのベストプラクティス
レッドハットのベストプラクティスレッドハットのベストプラクティス
レッドハットのベストプラクティスMasahiko Umeno
 
Red Hat Forum 2015 Tokyo mumeno 公開資料
Red Hat Forum 2015 Tokyo mumeno 公開資料Red Hat Forum 2015 Tokyo mumeno 公開資料
Red Hat Forum 2015 Tokyo mumeno 公開資料Masahiko Umeno
 
Application Architecture -Data, Process, Rule-
Application Architecture -Data, Process, Rule-Application Architecture -Data, Process, Rule-
Application Architecture -Data, Process, Rule-Masahiko Umeno
 

More from Masahiko Umeno (15)

RHF2021_ポイントは業務視点.pdf
RHF2021_ポイントは業務視点.pdfRHF2021_ポイントは業務視点.pdf
RHF2021_ポイントは業務視点.pdf
 
資料用_B1_mumeno_RHF_2014_wo_pic.pdf
資料用_B1_mumeno_RHF_2014_wo_pic.pdf資料用_B1_mumeno_RHF_2014_wo_pic.pdf
資料用_B1_mumeno_RHF_2014_wo_pic.pdf
 
Why we should consider Open Hybrid Cloud.pdf
Why we should  consider Open Hybrid Cloud.pdfWhy we should  consider Open Hybrid Cloud.pdf
Why we should consider Open Hybrid Cloud.pdf
 
Open Hybrid Cloudを検討すべき理由.pdf
Open Hybrid Cloudを検討すべき理由.pdfOpen Hybrid Cloudを検討すべき理由.pdf
Open Hybrid Cloudを検討すべき理由.pdf
 
Application Modernizationの障壁にどう取り組むか
Application Modernizationの障壁にどう取り組むかApplication Modernizationの障壁にどう取り組むか
Application Modernizationの障壁にどう取り組むか
 
Next generation business automation with the red hat decision manager and red...
Next generation business automation with the red hat decision manager and red...Next generation business automation with the red hat decision manager and red...
Next generation business automation with the red hat decision manager and red...
 
Master the RETE algorithm
Master the RETE algorithmMaster the RETE algorithm
Master the RETE algorithm
 
RETEアルゴリズムを使いこなせ
RETEアルゴリズムを使いこなせRETEアルゴリズムを使いこなせ
RETEアルゴリズムを使いこなせ
 
Business Resource Planner (RHF2017 Tokyo)
Business Resource Planner (RHF2017 Tokyo)Business Resource Planner (RHF2017 Tokyo)
Business Resource Planner (RHF2017 Tokyo)
 
BRMS6.2 2016版
BRMS6.2 2016版BRMS6.2 2016版
BRMS6.2 2016版
 
Artificial Intelligence
Artificial IntelligenceArtificial Intelligence
Artificial Intelligence
 
レッドハットのベストプラクティス
レッドハットのベストプラクティスレッドハットのベストプラクティス
レッドハットのベストプラクティス
 
Red Hat Forum 2015 Tokyo mumeno 公開資料
Red Hat Forum 2015 Tokyo mumeno 公開資料Red Hat Forum 2015 Tokyo mumeno 公開資料
Red Hat Forum 2015 Tokyo mumeno 公開資料
 
Opta planner勉強会
Opta planner勉強会Opta planner勉強会
Opta planner勉強会
 
Application Architecture -Data, Process, Rule-
Application Architecture -Data, Process, Rule-Application Architecture -Data, Process, Rule-
Application Architecture -Data, Process, Rule-
 

Recently uploaded

Announcing Codolex 2.0 from GDK Software
Announcing Codolex 2.0 from GDK SoftwareAnnouncing Codolex 2.0 from GDK Software
Announcing Codolex 2.0 from GDK SoftwareJim McKeeth
 
%in kempton park+277-882-255-28 abortion pills for sale in kempton park
%in kempton park+277-882-255-28 abortion pills for sale in kempton park %in kempton park+277-882-255-28 abortion pills for sale in kempton park
%in kempton park+277-882-255-28 abortion pills for sale in kempton park masabamasaba
 
introduction-to-automotive Andoid os-csimmonds-ndctechtown-2021.pdf
introduction-to-automotive Andoid os-csimmonds-ndctechtown-2021.pdfintroduction-to-automotive Andoid os-csimmonds-ndctechtown-2021.pdf
introduction-to-automotive Andoid os-csimmonds-ndctechtown-2021.pdfVishalKumarJha10
 
Chinsurah Escorts ☎️8617697112 Starting From 5K to 15K High Profile Escorts ...
Chinsurah Escorts ☎️8617697112  Starting From 5K to 15K High Profile Escorts ...Chinsurah Escorts ☎️8617697112  Starting From 5K to 15K High Profile Escorts ...
Chinsurah Escorts ☎️8617697112 Starting From 5K to 15K High Profile Escorts ...Nitya salvi
 
Payment Gateway Testing Simplified_ A Step-by-Step Guide for Beginners.pdf
Payment Gateway Testing Simplified_ A Step-by-Step Guide for Beginners.pdfPayment Gateway Testing Simplified_ A Step-by-Step Guide for Beginners.pdf
Payment Gateway Testing Simplified_ A Step-by-Step Guide for Beginners.pdfkalichargn70th171
 
%in Midrand+277-882-255-28 abortion pills for sale in midrand
%in Midrand+277-882-255-28 abortion pills for sale in midrand%in Midrand+277-882-255-28 abortion pills for sale in midrand
%in Midrand+277-882-255-28 abortion pills for sale in midrandmasabamasaba
 
Introducing Microsoft’s new Enterprise Work Management (EWM) Solution
Introducing Microsoft’s new Enterprise Work Management (EWM) SolutionIntroducing Microsoft’s new Enterprise Work Management (EWM) Solution
Introducing Microsoft’s new Enterprise Work Management (EWM) SolutionOnePlan Solutions
 
%in tembisa+277-882-255-28 abortion pills for sale in tembisa
%in tembisa+277-882-255-28 abortion pills for sale in tembisa%in tembisa+277-882-255-28 abortion pills for sale in tembisa
%in tembisa+277-882-255-28 abortion pills for sale in tembisamasabamasaba
 
%+27788225528 love spells in Vancouver Psychic Readings, Attraction spells,Br...
%+27788225528 love spells in Vancouver Psychic Readings, Attraction spells,Br...%+27788225528 love spells in Vancouver Psychic Readings, Attraction spells,Br...
%+27788225528 love spells in Vancouver Psychic Readings, Attraction spells,Br...masabamasaba
 
AI Mastery 201: Elevating Your Workflow with Advanced LLM Techniques
AI Mastery 201: Elevating Your Workflow with Advanced LLM TechniquesAI Mastery 201: Elevating Your Workflow with Advanced LLM Techniques
AI Mastery 201: Elevating Your Workflow with Advanced LLM TechniquesVictorSzoltysek
 
%in Hazyview+277-882-255-28 abortion pills for sale in Hazyview
%in Hazyview+277-882-255-28 abortion pills for sale in Hazyview%in Hazyview+277-882-255-28 abortion pills for sale in Hazyview
%in Hazyview+277-882-255-28 abortion pills for sale in Hazyviewmasabamasaba
 
SHRMPro HRMS Software Solutions Presentation
SHRMPro HRMS Software Solutions PresentationSHRMPro HRMS Software Solutions Presentation
SHRMPro HRMS Software Solutions PresentationShrmpro
 
OpenChain - The Ramifications of ISO/IEC 5230 and ISO/IEC 18974 for Legal Pro...
OpenChain - The Ramifications of ISO/IEC 5230 and ISO/IEC 18974 for Legal Pro...OpenChain - The Ramifications of ISO/IEC 5230 and ISO/IEC 18974 for Legal Pro...
OpenChain - The Ramifications of ISO/IEC 5230 and ISO/IEC 18974 for Legal Pro...Shane Coughlan
 
%in Stilfontein+277-882-255-28 abortion pills for sale in Stilfontein
%in Stilfontein+277-882-255-28 abortion pills for sale in Stilfontein%in Stilfontein+277-882-255-28 abortion pills for sale in Stilfontein
%in Stilfontein+277-882-255-28 abortion pills for sale in Stilfonteinmasabamasaba
 
%in Durban+277-882-255-28 abortion pills for sale in Durban
%in Durban+277-882-255-28 abortion pills for sale in Durban%in Durban+277-882-255-28 abortion pills for sale in Durban
%in Durban+277-882-255-28 abortion pills for sale in Durbanmasabamasaba
 
call girls in Vaishali (Ghaziabad) 🔝 >༒8448380779 🔝 genuine Escort Service 🔝✔️✔️
call girls in Vaishali (Ghaziabad) 🔝 >༒8448380779 🔝 genuine Escort Service 🔝✔️✔️call girls in Vaishali (Ghaziabad) 🔝 >༒8448380779 🔝 genuine Escort Service 🔝✔️✔️
call girls in Vaishali (Ghaziabad) 🔝 >༒8448380779 🔝 genuine Escort Service 🔝✔️✔️Delhi Call girls
 
%in ivory park+277-882-255-28 abortion pills for sale in ivory park
%in ivory park+277-882-255-28 abortion pills for sale in ivory park %in ivory park+277-882-255-28 abortion pills for sale in ivory park
%in ivory park+277-882-255-28 abortion pills for sale in ivory park masabamasaba
 
10 Trends Likely to Shape Enterprise Technology in 2024
10 Trends Likely to Shape Enterprise Technology in 202410 Trends Likely to Shape Enterprise Technology in 2024
10 Trends Likely to Shape Enterprise Technology in 2024Mind IT Systems
 
Crypto Cloud Review - How To Earn Up To $500 Per DAY Of Bitcoin 100% On AutoP...
Crypto Cloud Review - How To Earn Up To $500 Per DAY Of Bitcoin 100% On AutoP...Crypto Cloud Review - How To Earn Up To $500 Per DAY Of Bitcoin 100% On AutoP...
Crypto Cloud Review - How To Earn Up To $500 Per DAY Of Bitcoin 100% On AutoP...SelfMade bd
 
Software Quality Assurance Interview Questions
Software Quality Assurance Interview QuestionsSoftware Quality Assurance Interview Questions
Software Quality Assurance Interview QuestionsArshad QA
 

Recently uploaded (20)

Announcing Codolex 2.0 from GDK Software
Announcing Codolex 2.0 from GDK SoftwareAnnouncing Codolex 2.0 from GDK Software
Announcing Codolex 2.0 from GDK Software
 
%in kempton park+277-882-255-28 abortion pills for sale in kempton park
%in kempton park+277-882-255-28 abortion pills for sale in kempton park %in kempton park+277-882-255-28 abortion pills for sale in kempton park
%in kempton park+277-882-255-28 abortion pills for sale in kempton park
 
introduction-to-automotive Andoid os-csimmonds-ndctechtown-2021.pdf
introduction-to-automotive Andoid os-csimmonds-ndctechtown-2021.pdfintroduction-to-automotive Andoid os-csimmonds-ndctechtown-2021.pdf
introduction-to-automotive Andoid os-csimmonds-ndctechtown-2021.pdf
 
Chinsurah Escorts ☎️8617697112 Starting From 5K to 15K High Profile Escorts ...
Chinsurah Escorts ☎️8617697112  Starting From 5K to 15K High Profile Escorts ...Chinsurah Escorts ☎️8617697112  Starting From 5K to 15K High Profile Escorts ...
Chinsurah Escorts ☎️8617697112 Starting From 5K to 15K High Profile Escorts ...
 
Payment Gateway Testing Simplified_ A Step-by-Step Guide for Beginners.pdf
Payment Gateway Testing Simplified_ A Step-by-Step Guide for Beginners.pdfPayment Gateway Testing Simplified_ A Step-by-Step Guide for Beginners.pdf
Payment Gateway Testing Simplified_ A Step-by-Step Guide for Beginners.pdf
 
%in Midrand+277-882-255-28 abortion pills for sale in midrand
%in Midrand+277-882-255-28 abortion pills for sale in midrand%in Midrand+277-882-255-28 abortion pills for sale in midrand
%in Midrand+277-882-255-28 abortion pills for sale in midrand
 
Introducing Microsoft’s new Enterprise Work Management (EWM) Solution
Introducing Microsoft’s new Enterprise Work Management (EWM) SolutionIntroducing Microsoft’s new Enterprise Work Management (EWM) Solution
Introducing Microsoft’s new Enterprise Work Management (EWM) Solution
 
%in tembisa+277-882-255-28 abortion pills for sale in tembisa
%in tembisa+277-882-255-28 abortion pills for sale in tembisa%in tembisa+277-882-255-28 abortion pills for sale in tembisa
%in tembisa+277-882-255-28 abortion pills for sale in tembisa
 
%+27788225528 love spells in Vancouver Psychic Readings, Attraction spells,Br...
%+27788225528 love spells in Vancouver Psychic Readings, Attraction spells,Br...%+27788225528 love spells in Vancouver Psychic Readings, Attraction spells,Br...
%+27788225528 love spells in Vancouver Psychic Readings, Attraction spells,Br...
 
AI Mastery 201: Elevating Your Workflow with Advanced LLM Techniques
AI Mastery 201: Elevating Your Workflow with Advanced LLM TechniquesAI Mastery 201: Elevating Your Workflow with Advanced LLM Techniques
AI Mastery 201: Elevating Your Workflow with Advanced LLM Techniques
 
%in Hazyview+277-882-255-28 abortion pills for sale in Hazyview
%in Hazyview+277-882-255-28 abortion pills for sale in Hazyview%in Hazyview+277-882-255-28 abortion pills for sale in Hazyview
%in Hazyview+277-882-255-28 abortion pills for sale in Hazyview
 
SHRMPro HRMS Software Solutions Presentation
SHRMPro HRMS Software Solutions PresentationSHRMPro HRMS Software Solutions Presentation
SHRMPro HRMS Software Solutions Presentation
 
OpenChain - The Ramifications of ISO/IEC 5230 and ISO/IEC 18974 for Legal Pro...
OpenChain - The Ramifications of ISO/IEC 5230 and ISO/IEC 18974 for Legal Pro...OpenChain - The Ramifications of ISO/IEC 5230 and ISO/IEC 18974 for Legal Pro...
OpenChain - The Ramifications of ISO/IEC 5230 and ISO/IEC 18974 for Legal Pro...
 
%in Stilfontein+277-882-255-28 abortion pills for sale in Stilfontein
%in Stilfontein+277-882-255-28 abortion pills for sale in Stilfontein%in Stilfontein+277-882-255-28 abortion pills for sale in Stilfontein
%in Stilfontein+277-882-255-28 abortion pills for sale in Stilfontein
 
%in Durban+277-882-255-28 abortion pills for sale in Durban
%in Durban+277-882-255-28 abortion pills for sale in Durban%in Durban+277-882-255-28 abortion pills for sale in Durban
%in Durban+277-882-255-28 abortion pills for sale in Durban
 
call girls in Vaishali (Ghaziabad) 🔝 >༒8448380779 🔝 genuine Escort Service 🔝✔️✔️
call girls in Vaishali (Ghaziabad) 🔝 >༒8448380779 🔝 genuine Escort Service 🔝✔️✔️call girls in Vaishali (Ghaziabad) 🔝 >༒8448380779 🔝 genuine Escort Service 🔝✔️✔️
call girls in Vaishali (Ghaziabad) 🔝 >༒8448380779 🔝 genuine Escort Service 🔝✔️✔️
 
%in ivory park+277-882-255-28 abortion pills for sale in ivory park
%in ivory park+277-882-255-28 abortion pills for sale in ivory park %in ivory park+277-882-255-28 abortion pills for sale in ivory park
%in ivory park+277-882-255-28 abortion pills for sale in ivory park
 
10 Trends Likely to Shape Enterprise Technology in 2024
10 Trends Likely to Shape Enterprise Technology in 202410 Trends Likely to Shape Enterprise Technology in 2024
10 Trends Likely to Shape Enterprise Technology in 2024
 
Crypto Cloud Review - How To Earn Up To $500 Per DAY Of Bitcoin 100% On AutoP...
Crypto Cloud Review - How To Earn Up To $500 Per DAY Of Bitcoin 100% On AutoP...Crypto Cloud Review - How To Earn Up To $500 Per DAY Of Bitcoin 100% On AutoP...
Crypto Cloud Review - How To Earn Up To $500 Per DAY Of Bitcoin 100% On AutoP...
 
Software Quality Assurance Interview Questions
Software Quality Assurance Interview QuestionsSoftware Quality Assurance Interview Questions
Software Quality Assurance Interview Questions
 

Rhf2019 how totackle barriersofapplicationmodernization_ap16_en

  • 1. RED HAT FORUMS How to tackle barriers of Application Modernization Masahiko Umeno Chief Technologist 15th Nov. 2019 AP16
  • 2. Frequent spoken subject about application renewal 2 From Business side Architecture granularity Dev. method Org. Motivation Estimation method Unusable GUI and work flow… √ √ √ Gave up new biz due to long duration of development even if it was great idea √ √ √ Input data many times due to different application √ √ From IT side Architecture granularity Dev. method Org. Motivation Estimation method No budget for renewal √ √ √ √ Worry about a migration due to too huge system √ √ √ √ √ Completely Black boxed √ √ √ Take a several year to clarify requirements through source code √ √ √ Don’t want to do it! reminds of Death March project √ √ √ √ No engineer / programmer available √ √ √ No leaders who have strong will √ √ √ √
  • 3. Agenda 3© Red Hat K.K. • • •
  • 4. What to do in Application Modernization 4 Design Operation Design/Build DB Build Logic Definition Service Define Microservice Branch data for parallel Design data migration Test Logic Transfer past data Accept data from new app Design Platform Build Platform Design UI Design Process Design Integration Collect old/new data Build UI Comparison Old/New Design Architecture Coordination with Business Coordination with Business Build/Test Monitoring Test Fault tolerance Test / Progress def. Design service integration Build/Test Srvc. integration Operation Training Build Process Test Process
  • 6. System is huge… 6 Application was composed by each simple structure at first http://combine-art.com/html/blog/matsumoto/post/blog.php?post_id=1526 Kowloon Walled City
  • 7. System is huge… 7 Even though the floor height is slightly different, it is the same building height, but the number of floors is different Somehow same height on the top floorObviously added Living? http://combine-art.com/html/blog/matsumoto/post/blog.php?post_id=1526 Kowloon Walled City
  • 8. Application Architecture 8O : I - - M ):H C: H ::C AD D AD H H B: H H ::C AD ( C C D AD D C:: ID C : E :K C DAAD H ::C H :AA ID C : I A I C A:M A: (A : DA:H DA: I : K : H: ,CI: : ,CE I / IE I ) I , : K : D :HH I I H . C :B:CI D : H: D :HH : K : ): H DC ( : ( A A I DC ,C : :C : ): H DC : K : ) I ) I D B I D C ID H : :A I DC A / : I -: A : ) I : K : EEA I DC ,CI: I DC : H: K :H CH I DC . C :B:CI AAD I: B HI: H C ) C BEA:B:CI :M :EI DC C I : EE . M: I C AD C H HE :II I B :H CD A:M A I C C :H
  • 9. 9 Application Architecture ESB / Application Mobile Application Get Parame ters Cautio n Map ATM Map Billing Calc. SSO API Gateway : Auth/ Policy/ Flow restriction API A API B API C API Z Rule Engine Clear the role for each components • API Gateway: Access Control of API, Statistics Management, Billing Management • Fuse: Service call (API), Transaction Manager • Rule Engine: API call pattern from Fuse, Decision of data which need to use, Billing calculation Rule Engine Service Rule Engine DB API D
  • 10. 10 Loose coupling with Rule / Process /Data / Application HR Settkement Salary Training StatusProcess Start Department chk Personnel chk Reason chk Position Appropriate Training Appropriate Saraly Personnel Wait for Approval Task List Approval Fetch Data By employee number Feed all data Return Result Task Start Fetch Data Decision Store Data Task Fin Approved Get List Fetch Data App/Reject Input Response Response Status HR Settlement Status Decision Service Data Service Process ServiceThis architecture is being used in over 100 projects in Japan
  • 12. What and how to migrate 12 Look into system attributes Ex) change frequency and migration difficulty >> map to quadrant Bulk migration: Too risky One by one migration: I have no clue where to start… Start small, Expand successful experiences Reduce Risk >> Understand Iterative development is better than Waterfall development. But we have no experience
  • 13. Choose first implementation targets 13 High migration difficulty Low change frequency Salted Best for successful experience Re-writeTentative APIed High change frequency Low migration difficulty
  • 14. Service / Microservice 14 • What is “Service” • One business provided by an organization such as a department, section • Ex) All of the issuance of various certificates such as a copy of family register and resident card by the Residents Section • What is “Microservice” • One serving provided by a person belonging to the organization • Ex) Acceptance / issuance / provision of application for copying family register / resident's card and receipt of money • Not every single function • Ex) Confirmation of presence / absence of address notation, conversion of Japanese and Western calendar, calculation of number of sheets, etc. • With a certain level of granularity where functions are integrated and the type of input / output is not complicated >>Microservice .
  • 15. 15 Service : Business point of view Design Operation Design/Build DB Build Logic Definition Service Define Microservice Branch data for parallel Design data migration Test Logic Transfer past data Accept data from new app Design Platform Build Platform Design UI Design Process Design Integration Collect old/new data Build UI Comparison Old/New Design Architecture Coordination with Business Coordination with Business Build/Test Monitoring Test Fault tolerance Test / Progress def. Design service integration Build/Test Srvc. integration Operation Training Build Process Test Process Service • Contract • Purchasing • Delivery date • Billing • Production Planning • Inventory • …
  • 16. 16 Service : System point of view Design Operation Design/Build DB Build Logic Definition Service Define Microservice Branch data for parallel Design data migration Test Logic Transfer past data Accept data from new app Design Platform Build Platform Design UI Design Process Design Integration Collect old/new data Build UI Comparison Old/New Design Architecture Coordination with Business Coordination with Business Build/Test Monitoring Test Fault tolerance Test / Progress def. Design service integration Build/Test Srvc. integration Operation Training Build Process Test Process Integration Service Platform Service Data Service Decision Service Operation Service User Interface Service Decision Service Process Service
  • 17. Granularity of Unit 17) D • A D C A B D • (H K B AD AA D AE C D D • (H E D EC C E D C • EC CC C A D A B D (CD D D BI -B B D N • B C B CC H • , C ED D B D C B CDB D I B C C • D E D C CC BI D H CD AA D K BDE B . B D BDE D B B D D C B C C CCE C • " " B D D C
  • 18. 18 Microservice Design Operation Design/Build DB Build Logic Definition Service Define Microservice Branch data for parallel Design data migration Test Logic Transfer past data Accept data from new app Design Platform Build Platform Design UI Design Process Design Integration Collect old/new data Build UI Comparison Old/New Design Architecture Coordination with Business Coordination with Business Build/Test Monitoring Test Fault tolerance Test / Progress def. Design service integration Build/Test Srvc. integration Operation Training Build Process Test Process Integration Service Platform Service Data Service Decision Service Operation Service User Interface Service Decision Service Process Service Contract Billing Production Planning Inventory … Purchasing Delivery date The cross of red and blue sell (like a yellow frame cell) are “microservice”
  • 19. Granularity of Unit (Example of “Decision Service”) 19. App Order Detail Shipping Chg Discount Commission Sum Too much fine grain Input Output DB Call Rule Call Rule Call Rule Call Rule Call Rule Get Data Get back to App Order Detail Shipping Chg Discount Commission Sum Appropriate grain Input Output DB Call Rule Get back to Make all decisions and return results with a single rule call Get Data Not to use as Function Call Not too large granularity with DB access Unit to be processed with a certain degree of unity
  • 20. Standardization / Individual 20 Design Operation Design/Build DB Build Logic Definition Service Define Microservice Branch data for parallel Design data migration Test Logic Transfer past data Accept data from new app Design Platform Build Platform Design UI Design Process Design Integration Collect old/new data Build UI Comparison Old/New Design Architecture Coordination with Business Coordination with Business Build/Test Monitoring Test Fault tolerance Test / Progress def. Design service integration Build/Test Srvc. integration Operation Training Build Process Test Process ) ) ( ) ) ) )
  • 22. ”Black boxed”? 22 • No requirement documents • Only SIer did application design and build • Only Source Code exists Can you make it somehow? Oh, yes.. but if you have bottomless money and duration of a century…
  • 23. Escape from “Black Boxed” 23 No clue even if you ask Business div. >> Stop the Application Immediately!! Who will take a responsibility if annoying customers when someone overwrite a source? The person who was in charge quit >> Responsibility belongs to a department, not a person Should be clarified what kind of process is performed for what purpose as the responsibility of the department Nobody knows at IT >> Ask Div. who ordered application or took over In most cases someonehas information!!
  • 24. Escape from “Black Box” 24, Work everyone knows >> Trunk Work understood by the person in charge of a project >> Twig Work understood by the dep in charge >> Branch Basic Rule % 9 , . , 9 , , % 9 !
  • 25. Our use case 25)( Not used Logic Alive Logic The result of processing past 5 years data Realized!! It was complicated, costly and time consuming because worrying about unused logic when adding/changing logic. 40% 60% ) ) ) ) . .
  • 26. Visualize Data/Logic 26 CustomerCredit SKU Dealing Inventory Summary Delivery Date Past Transaction Derivation for payment terms and tradable amount Delivery Production Plan Parts unit price x number Wage, delivery fee, margin Quotation Inventory allocation, order lead time, production lead time Order Data & Decision & RuleCorrelation of Decision Requirement Diagram by OMG
  • 27. Iterative development (Rule) 27 Biz Rule Biz Knowledge Create rule Input Data (Past data) Expectation (Past processed data) Executed Result Test Result Biz Person Test (match Result & Expectation at Rule Engine) Ask
  • 28. Development Method – Waterfall 28 Items Notes Estimation In order to clarify the deliverables in each phase, it is easy to perform the administrative procedures on the ordering side and the receiving side. Overall picture It is easy to grasp the whole data design etc. used in each system. Items Notes Business Agility In terms of calculation of estimated man-hours, it is difficult to receive additional requirements until completion, so business side requests are not accepted until stable operation, and business side satisfaction is low. Quality Since the actual definition of the requirement and design accuracy is not verified, rework is likely to occur, and the order-receiving side takes immediate measures, so it is easy to accelerate logic spaghetti. Dev method Even if a better development method is discovered in the course of development, reduction of man-hours and improvement of quality will be limited, due to fears that control will not work and quality will deteriorate if the basics are changed. Pros Cons
  • 29. Development method – Iterative 29 Items Notes Biz Agility Necessary and unnecessary functions can be confirmed at an early stage with business users, so that business improvement requests can be received, and business improvement can be continued even in long-term construction projects. Quality Problems that can be identified only after deploying and testing are not identified at the final stage, but we must address at an early stage to minimize problems and improve quality. Dev method By reviewing the design, development and testing when one sprint is completed, it is easy to make improvements and accelerate man-hour reduction and quality improvement. The faster the failure occurs, the easier quality to improve. Items Notes Overall picture An organization that manages each sprint is necessary, because the overall image tends to be difficult to grasp by minimizing the design and implementation range.
  • 30. Development method 30 Design Operation Design/Build DB Build Logic Definition Service Define Microservice Branch data for parallel Design data migration Test Logic Transfer past data Accept data from new app Design Platform Build Platform Design UI Design Process Design Integration Collect old/new data Build UI Comparison Old/New Design Architecture Coordination with Business Coordination with Business Build/Test Monitoring Test Fault tolerance Test / Progress def. Design service integration Build/Test Srvc. integration Operation Training Build Process Test Process
  • 31. Coverage of Red Hat 31 Design Operation Design/Build DB Build Logic Definition Service Define Microservice Branch data for parallel Design data migration Test Logic Transfer past data Accept data from new app Design Platform Build Platform Design UI Design Process Design Integration Collect old/new data Build UI Comparison Old/New Design Architecture Coordination with Business Coordination with Business Build/Test Monitoring Test Fault tolerance Test / Progress def. Design service integration Build/Test Srvc. integration Operation Training Build Process Test Process / / / / / / B / / / / / / / / / / / / / / / / / / / / / / A
  • 32. Conclusion 32© Red Hat K.K. How to tackle barriers of Application Modernization… • Renovate the architecture maintainability with consideration • Determine the granularity of system migration based on business and Application architecture considering as a ”Microservice” • Do Not start from analysis source code • ”Trunk” first, and then ”Branch" with test-driven Iteration dev. • A streamlined and simplified process is absolutely necessary , ,