Post on 14-Apr-2017
transcript
InterConnect2017
HDZ-2965 : Cognitive DevOps: Get Rid of the Guesswork to Improve Software Delivery
Rami KatanADDI Architect, IBM
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Please noteIBM’s statements regarding its plans, directions, and intent are subject to change or withdrawal without notice at IBM’s sole discretion.
Information regarding potential future products is intended to outline our general product direction and it should not be relied on in making a purchasing decision.
The information mentioned regarding potential future products is not a commitment, promise, or legal obligation to deliver any material, code or functionality. Information about potential future products may not be incorporated into any contract.
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Performance is based on measurements and projections using standard IBM benchmarks in a controlled environment. The actual throughput or performance that any user will experience will vary depending upon many factors, including considerations such as the amount of multiprogramming inthe user’s job stream, the I/O configuration, the storage configuration, and the workload processed. Therefore, no assurance can be given that an individual user will achieve results similar to those stated here.
Rami Katan• ADDI Architect, IBM
• Co-founder, EZSource, founded 2003 and acquired by IBM on June 2016
• 19 years of experience with delivering advanced application discovery solutions, using compilers automation and algorithms
• Rich customer-facing experience and a track record of providing solutions and consulting.
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Why would you listen to me?
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The challenge for Software Development Organizations
Applications are being more complex.Applications span over multiple environments
including Z, web, cloud and mobile.Businesses need to react faster
There is a strong need for tools that can help organizations be smarter and help make decisions based on data available
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How big of a challenge is it?How many lines are in an average book page?
An un-named search engine answers : 35
IF Program = book THENNO-OF-PAGES=300
CHPATER-REFERENCE-COUNT=50
PAGE-JUMPS=50
STORY-LOOPS =18
END-IF
How programs connect to each other?
Authors digitally edit the programs and copybooks and affect the bigger schema…
That big of a challenge !!
1 Transaction = 40 programs =
How many transactions you have?
How Many applications do you have?
Batch jobs? Schedules? APIs that access the code?
This is what your “IT librarians” faces every day:
So how do you get rid of the must-have guesswork
• Automated application understanding• Interactive up to date documentation• Quick access to all component cross-reference across
applications• Combining code analysis with operational analysis• Have the analysis data trended over time• Merge data from many information sources using
automated solutions
• Have cognitive computing help• Please!
ADDI Cognitive Computing Video - Link
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ADDI Cognitive Computing Video
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Application Discovery
• Understand the structure of your business-critical applications across languages and environments
• Reduce risk and time and increase quality of changes through visual impact analysis integrated with your IDE
• Prioritize changes by understanding operational performance of most frequently used applications
• Synchronize ADDI with latest changes in your source code management systems for a single source of truth
• Up-to-Date Documentation• Application Knowledge Base
Analyzeandvisualizerelationshipsbetweenapplicationcomponents,dataandjobs
ADDIApplicationRepository
ADDI:Build
ADDI:Analyze
GraphicalAnalysis
Reports ‘WhereUsed’
Analysis
ADDI:DeliveryIntelligence(ADI)
ADDI:IDz
ApplicationHeallth
IDEIntegration
z/OS 3rd Party
DB2CICSIMSSMFTWSCA7CAEndevorCALibrarianChangeManPDSNatural
PDFExcelJPEGXMLVisioJSONCSVEMF
MainframeAgents
ADDI:Connect
Java
Knowledge Database
What is in Application Discovery?
• Application flow graphs, program Flow graphs, Program flowcharts• Schedule flow charts, Job flow charts• Cross platform analysis• Resource usage impact analysis• Field usage impact analysis• Field expansion analysis• Interactive visualization of resource usage• Application Inventory reports• Complexity metrics• Dead code analysis• Compare the same application in its different stages: Prod/Dev/SIT/other• Application documentation which is easy to produce and up to date.• Application knowledge database driven by annotations contributed by all users• Application education that speeds the learning curve of new developers
Near future:• Expose application logic to mobile/cloud/Front-end• Identify dependencies of datasets and tables across platforms.
• Automation, Automation, Automation – using advanced technologies and visualizations
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Application Discovery and Delivery Intelligence
Unlock• Rapidly analyze and
visualize your applications to make changes quickly, safely and efficiently
Empower• Improve productivity of new
and existing resources through knowledge transfer and automated documentation
Appraise• Continuously assess and
improve quality against consistent metrics and enforcement of coding standards
• Unlock The Value In Your Business-critical Applications
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ADDI: How does it work?
• Build application analysis from the source code
• Run algorithms and advanced analysis to gain application understanding
• Document and share application knowledge, improving learning curve and communication
• Correlate application analysis with operational data and test coverage data to gain deeper insights
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A few glimpses at AD analysis : Cross application analysis
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AD analysis: Top clustering view on applications
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AD analysis: Down to statement flow chart level analysis
AD analysis: Annotations and application knowledge database
Application Delivery IntelligenceA dashboard for Dev Ops data correlating data from many
products which applies cognitive insights
ADI
Application Discovery
OMEGAMON SMF Data
Code Coverage
System Logs
Bug Tracking
RTC
Dev Opsproducts
API Catalog
???
Easy-to-use web-based graphic interface providing accurate, unified view of
entire application landscape
Optimize development and test by combining static and
operational analysis to accelerate delivery and
improve quality
Correlate project metrics from the AD repository, performance information from OMEGAMON for CICS, and code coverage data for targeted insights into
application health
The Intelligence in ADI
Correlate static code analysis with operational and test data to provide comprehensive view of application health and to optimize development and test
ADI - Current set of Data Providers
OMEGAMON for CICS Integration Application Discovery (AD) Integration Code Coverage
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Identify potential performance bottlenecks early
Transaction execution and failure frequency
Trend analysis of performance and resource consumption
metrics
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Insight into application maintainability
Insight into application inventory and complexity
Trend analysis of the software quality and complexity metrics
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Optimize testing
Improve test efficiency
Trend analysis of the code coverage
Cognitive DevOps: Get rid of the Guesswork
Drive DevOps improvement with Analysis, Insight, and Optimization
Analysis: Rapidly identify areas of
concern in your application portfolio, then assess the impact, scope, risk and
actions required
Insight: Improve the accuracy of your planning and estimating with
insights gained from data collected and correlated from
DevOps activities
Optimization: Cut waste by executing
the optimum actions required to build, test
and deploy your applications
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A few glimpses at ADI analysis: OMEGAMON data
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ADI analysis: Transaction performance statistics
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ADI analysis: VB11 Transaction performance in resolution of hour/day/week
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ADI analysis: AD analysis data summarized and trended over time
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ADI analysis: AD analysis data summarized and trended over time
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ADI analysis: Code Coverage data per version of VB11
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ADI: Modified members for a specific version of VB11
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ADI : Program change statistics and suggested minimal test suite for unit test
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ADI analysis: Code Coverage data
ADDI Use Cases
Day to day Integration with other environments Application management
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Helping Maintenance and Business As Usual with graphic analysis, Impact analysis,
Batch and online analysis
On-board new developers into the team with an improved learning curve
Root Cause Analysis
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Identify the code related to a business logic required to be exposed outside as an API or service
Add new business logic to existing tables in the best low-cost and efficient way.
Use application analysis to support complex architecture decisions
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Manage application source inventory:Componentize source collections by identifying
Identify source clusters
Manage the quality and delivery of SIs and 3rd party outsourcing parties
Compare versions of the same application (New/Old, Prod/Dev)
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Code Review
The future of ADDI
Day to day Integration with other environments Cognitive
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Support more languages and custom macros and preprocessors using extensibility features
Tighter integration with IDz, zD&T, Endevor ChangeMan, RTC
Improved Root Cause Analysis, correlating performance with application changes
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Maintain a catalog of existing services and APIs
Assess the impact a change on the Z environment has on the open side
Use application analysis to support complex architecture decisions
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Use Watson services on many input data sources of ADI.
Train Watson to grasp the relations and insights on the analysis data.
Then gain answers to free text questions
Tradeoff analytics to support application management and architecture decision making
Launching the IBM Digital Transformation Model for z SystemsWhere are you on your Digital Transformation Journey?
• Reduced MIPS cost• Shortened batch windows• Secure, flexible host access with support for the
latest clients
• Increased predictability and reduced risk of change efforts
• Higher productivity and quality• Additional capacity for development, test, and
education on x86 hardware
• Easy access to business critical data and services for Mobile, Web and Social workloads
• Effective governance of APIs• Improved performance and reduced MIPS
consumption
• Increased speed of development and deployment for hybrid cloud architectures
• Improved quality through shift-left testing and automated delivery pipeline
• Lower cost of quality
BUSINESS BENEFITS
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APPLICATION NEEDS BY LEVEL
LEVEL
LEVEL
01LEVEL
LEVEL
EVOLVE
EXPOSE
MAINTAIN
RUNAppropriate for applications that in practice have no changes.
Just keep them running, efficiently.
Appropriate for applications that have moderate amount of changes.
Appropriate for applications with moderate changes that require mobile / Web access.
Appropriate for applications requiring frequent changes.
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Launching the IBM Digital Transformation Model for z SystemsWhere are you on your Digital Transformation Journey?
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How it works
1. Select an enterprise application or group of applications to transform
2. Fill out a short assessment to determine the capabilities you need for those applications
3. Get a report with personalized insights and recommendations to progress your digital transformation journey
To get started, visit http://ibm.biz/DTModel
• ADDI on IBM website• AD on IBM website• ADI on IBM website• ADDI Cognitive Video• IBM System Z - YouTube channelFor more information contact:
Mark Indermaur (Offering Manager): indermaur@us.ibm.com
Rami Katan: Rami.katan@il.ibm.com
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On-line Resources
ADDI – Accelerate your digital transformationInterConnect Sessions: #2965, #5522, #5617, #5806 34
Questions?
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InterConnect2017
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