How to Revamp your Legacy Applications For More Agility and Better Service - Hélène Lyon
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The document discusses modernizing legacy applications on IBM's z Systems to enhance agility and service through business process modernization, predictive analytics, and integration with new technologies. It emphasizes the importance of operational and analytical decision management, allowing organizations to make informed decisions using real-time data. Additionally, the document highlights the use of DevOps practices to improve software delivery and the need for a closed-loop approach to application delivery across various platforms.
How to Revamp your Legacy Applications For More Agility and Better Service - Hélène Lyon
- 1. © 2015 IBM Corporation How to revamp your legacy applications for more Agility and Better Service Hélène Lyon Distinguished Engineer & CTO, Analytics on z Systems for Europe Europe IMS SWAT Technical Executive IBM Systems, zSoftware Sales helene.lyon@fr.ibm.com My LinkedIn profile Follow @HeleneLyon
- 2. © 2015 IBM Corporation Business Systems Databases Business Systems Front End Browser Web Server App. Server Server Personal Computer "Dumb" Terminal e-business with Core Business Apps & Data Client-Server GUI Front-End Terminal Processing Internet Enterprise Network Central Site Personal Computer Time ApplicationInvestmentProtection Core Business Systems Applications D B P Mainframe Legacy – Why? (R)evolution in z/OS Core Middleware provides Unparalleled Scalability and Availability while protecting Investment B Business logic D Data AccessP Presentation layer Mobile Integration Services 2 A Analytics A I Integration Layer I IOThings A P P BP B
- 3. © 2015 IBM Corporation Mobile, Services, API Management Business Process Management DevOps Events Business Application Modernization – Embrace New Technologies Business Rules, Analytics 3
- 4. © 2015 IBM Corporation Improve Operational & Analytical Decision Management Operational Decision Management Analytical Decision Management Business Processes, Applications & Solutions Decision Services Business Rules Internal & External Data Policy Regulation Best Practices Know-how Scenario Analysis & Simulation Learn from the facts Build automatically a predictive model by self learning from data Learn from the experts Author a rule-based model capturing expert knowledge Business rules and predictive scoring together enable most effective decisions Externalized decisions are easy to change Centralized decisions enable reuse and consistency.. Predictive Analytics Risk Clustering Segmentation Propensity 4
- 5. © 2015 IBM Corporation Focus on Operational Decision Management Codify business policies, practices, and regulations Operational Decisions ApplicationApplication Decision logic Externalized decisions are easy to change Centralized decisions enable reuse and consistency Hard coded decisions are difficult to change Rules intertwined within applications cannot be reused by other systems Without ODM With ODM Manage decision logic independently from applications 5
- 6. © 2015 IBM Corporation Focus on Analytical Decision Management – Predictive Scoring A two steps approach Analyses Segments Profiles Scoring algorithms Score Customer Service Center Data: Demographics Account activity Transactions Channel usage Service queries Renewals … Identify predictive models/patterns found in historical data Use those predictive models with variables to score transactions & identify the best possible future outcomes Practical scoring approaches Off-line: Batch Scoring On-line: External scoring function On-line: Within a transaction, in-DB, real time - New with z/OS Step 1 – Build the predictive model Step 2 – Execute the predictive model Scoring Engine IBM Confidential6
- 7. © 2015 IBM Corporation Real time scoring of the transactional data in DB2 for z/OS SPSS & DB2 for z/OS IBM SPSS Real-Time Scoring Adapter for DB2 on z/OS – Enables customers to score predictive models built by IBM SPSS Modeler directly within a specific online transaction processing transaction that is running with DB2 for z/OS. Business Value – Delivers better, more profitable decisions, using the latest data, at the point of customer impact – Enables more informed customer interaction • Improves customer service • Increases revenue per customer ratio • Heightens customer retention – Improves fraud identification and prevention • Reduces risk and exposure DB2 for z/OS Application w/latest data Real-Time Score/ Decision Out ETL Data In R-T, min, hr, wk, mth Reduced Networking End to end solution Support for both in-transaction and in-database scoring on the same platform Consolidated Resources DB2 for z/OS Data Historical Store Copy SPSS Modeler For Linux on System z Scoring Algorithm Business System / OLTP Scoring Engine 7
- 8. © 2015 IBM Corporation Add Business Critical Queries on demand in zApps Challenges – IT refuses complex queries lasting too long because of impact on production workload. – DB administrator needs time and tools to tune the queries – So queries where executed on DW data and not in real-time on operational data at the time of transactions. Solutions – IBM DB2 Analytics Accelerator • Complex queries are now acceptable! • IDAA can be used as High Performance Storage Saver. No data in DB2 for z/OS! • IDAA Loader has several options for data refresh. • IDAA can be used for non-DB2 data (IMS DB, VSAM, …) – Workload management in z/OS • The optimized Mixed Workload environment • Performance goals assigned by workload based on SLAs Do things you could never do before! 8
- 9. © 2015 IBM Corporation Integrate Hadoop & z Systems – 2 Use cases 1 - Mainframe clients want to incorporate sensitive mainframe data into exploratory analytic models What has been holding them back? z/OS DB2 VSAM QSAM IMS SMF RMF Logs 2 - Mainframe clients want to incorporate into zApps analytics based on non-z data like social media, machine generated data, e-mail What has been holding them back? There is risk associated with having copies of sensitive data existing outside the mainframe Performance & Integration are key inhibitors for real-time analytics. 9
- 10. © 2015 IBM Corporation Building the next-generation of Systems of Interaction Applications By bringing together the people, processes, tools across the entire software delivery lifecycle – spanning mobile to mainframe platforms Systems of Record (SoR) Apps Fewer ReleasesDatabases Systems of Engagement (SoE) Apps Rapid Releases AppStore IntegrationTest Monitor and Optimize Develop and Test Web Apps Frequent Releases Production Environment Databases SystemsofInteraction 10
- 11. © 2015 IBM Corporation DevOps extends Lean and Agile practices … even to z Systems Focus on the end-to-end delivery of products and services Accelerate software delivery – for faster time to value Balance speed, cost, quality and risk – for increased capacity to innovate Reduce time to customer feedback – for improved customer experience Continuous Customer Feedback & Optimization Collaborative Development Continuous Release and Deployment Continuous Monitoring Continuous Business Planning Operate Develop / Test Deploy Ste er DevOps Continuous Feedback Continuous Testing Enterprise capability for continuous software delivery that enables organizations to seize market opportunities and reduce time to customer feedback z/OS solutions
- 12. © 2015 IBM Corporation Build for success with a closed-loop approach to application delivery 12 Rational Team Concert UrbanCode Release UrbanCode Deploy with Patterns SmartCloud Orchestrator Rational Collaborative Lifecycle Mngt Rational Developer for System z Rational Programming Patterns Rational Compilers Worklight Studio Rational Quality Manager Rational Test Virtualization Server Rational Test Workbench Rational Test Workbench – Mobile Test Edition Rational Development and Test Environment for System z DevOps Lean and Agile principles Develop / Test DeploySteer Operate Business Owner Developer/Tester Operations Target Customer Idea Market SmartCloud Application Performance Management SmartCloud Control Desk Continuous Business Planning Collaborative Development Continuous Testing Continuous Release and Deployment Continuous Monitoring Continuous Customer Feedback & Optimization Tealeaf CX Digital Analytics Worklight Quality Assurance Worklight Quality Assurance InfoSphere Optim Test Data Mngt Security AppScan z/OS solutions
- 13. © 2015 IBM Corporation Extend Enterprise IT assets for digital business transformation at Scale & Speed Reuse services designed for long term value Modernize / extend zApps with new technologies - Java, Rules, Score, … Innovate with Mobile in Mind Perform historical data analytics in real time Simplify data flows between operational data & decision data Improve Fraud Detection in real time Simplify and optimize IT to gain in m² & energy 13
- 14. © 2015 IBM Corporation z Systems Solutions drives Innovation Build Run Manage Optimize Innovate • Need to improve time to market for end-to-end solutions development and deployment • Need advanced technology to expedite development, test and deployment of enterprise applications running on z/OS • Link SoR zApps robustness & stability with SoE Apps evolutivity & flexibility needs • Need for IT service management with analytics capabilities • Need to absorb transaction throughput and manage huge volumes of information • Want to reduce IT costs by up to 50% over x86 with extreme virtualization • Need optimal response time and the highest levels of security with a combined view of data and analytics for competitive advantage • Want the highest levels of availability and resiliency for business transactions and data • Need IT Analytics to help gain insight and speed up time to fix problems • Need for Enterprise class Linux consolidation and secure cloud services • Need to run real-time analytics directly in transaction and batch workload with a simple, performant, iterative and agile solution • Need to improve decision management processes imbedded in legacy applications • Need for continuously delivery of innovative mobile apps with quality and speed • Need for optimized client experience with z Systems performance, availability and security • Need high availability, flexibility and scalability to handle unpredictable spikes in mobile traffic • Need for a highly customizable environment to optimize service delivery while supporting multiple operating systems 14
- 15. © 2015 IBM Corporation Let Enterprise Architects understand the Power of z Systems! “Why not on z” attitude instead of “Never on z” or “Always on z” Time horizon ISV support Non-functional requirements Strategic direction TCO Model Skills Politics Architecture Technology adoption Deployment model Scale Geographic considerations Environmental constraints Leverage z Systems and Innovate! 15