MEAN - A Stack That Drives Digital Transformation
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The document discusses the importance of digital transformation for organizations, highlighting challenges posed by legacy systems and the need for strategic technology implementation. It emphasizes the role of agile methodologies, digital capabilities, and a strong digital vision in achieving effective transformation, while also detailing a proposed technology architecture based on the MEAN stack. The transformation roadmap focuses on enhancing user experience, utilizing cloud solutions, and integrating modern application frameworks to improve operational efficiency.
MEAN - A Stack That Drives Digital Transformation
- 1. A Stack that Drives Digital Transformation Vikas Agarwal Prabhu Jha
- 2. Key Drivers Key Challenges with Legacy Closed to extension, less flexible for adaption High costs of storage, infrastructure, people Lot of manual tasks – Error prone and difficult to automate Expensive UX/CX modernization Customer satisfaction Profitability Competition Increased speed-to-market What and Why of Digital Transformation? Implementation of technology strategically that delivers clear results, including: • Getting to market faster and more effectively • Innovative new business models, products, and services • Optimized business operations • Exceptional end-to-end customer experiences
- 3. Change management, KPIs People, teams, culture Emergency Managed Optimized Digital capability development not central to organizational strategy KPIs • Isolated knowledge • Vertical skillsets • Poor training Strong digital vision and strategy, organizational priorities KPIs change • CoE • Specialists and generalists • Tech skills • Fluid structures • Collaborative environment Digital vision lived through leadership and operations, top-down bottom-up, agile and adaptive strategy • T-shaped, • Deep knowledge, • Human layer over tech, • Knowledge sharing, • Entrepreneurial Working practices, processes, tools • Frigid structure, • Waterfall, • Infrequent release cycle • No DevOps • Manual testing • Agile development • Automated tests, • rapid prototyping and continuous build • DevOps Readiness • Interdisciplinary agility, • cross-functional,small, nimble teams. • DevOps Implemented Process Flow Foundation Intermediate Advanced Digital Maturity Model
- 4. Social Mobile Analytics Cloud Integration friendly Real-time data availability Speed of development Agile/ DevOps friendly Supports Great UX Performance Big Data Support Goals of Technology Selection for Digital Transformation Pillars of Digital Transformation
- 5. Right Technology and toolset – MEAN
- 6. Right Technology and toolset – MEAN
- 7. JSON Everywhere – DB, Back-end, Front-end Isomorphic JavaScript Event-based non-blocking I/O Fast response times for data availability Microservices as opposed to traditional monolithic applications TDD/BDD Karma, Mocha, Chai, Jasmin, Protractor etc. Schemaless Database: MongoDB Minimalistic ExpressJS framework AngularJS for maintainable front-end code Built-in plugins for various client-side libraries Integration friendly Real-time data availability Speed of development Agile/ DevOps friendly Supports Great UX Performance Big Data Support Why MEAN Stack?
- 8. Replacing your current applications Augment/reuse your existing applications Less complexity Quicker ROI Shorter program duration Higher cost Cost of legacy Higher data migration costs Risk of business disruption/disc ontinuity Higher cost of quality Requires more domain expertise and analysis Longer program duration Stakeholder Management for Longer Duration Intense AS-IS analysis required ROI will take time Maximize use of legacy IT assets Domain expertise built into the system Easier Change Management Lowered Risk of Business discontinuity Lower cost of quality Better goal tracking/ success measurement Ways of architecting your transformation
- 9. Mobile IoT Social Node.JS + Express + MongoDB/Mysql Progress Backend Web ProgressWeb services Modulus Cloud REST Web Services Omni-channel Consistent Customer Experience Analytics Partners, customers, third-parties Proposed Technology Situation
- 10. Proposed Architecture – Detailed View
- 11. Identify the least risky business areas and document them Identify the desired UX Goals, plan UX Transformation Identify the solution building blocks Develop their replicas (with enhanced UX) on MEAN stack Run parallel beta and then, conduct A/B tests or MVT Integrate into the remaining of the system and make production deployments Develop DevOps capability Start with Continuous Integration Unit Test Automation Functional Test Automation Continuous Delivery Identify Cost Centres (servers, infrastructures) Identify right Cloud Solution Plan for deployment and Business Continuity Transformed Increment Overall IT Spectrum IT increment to be transformed Transformed IT Spectrum Transformation Roadmap
- 12. An ISV having a product built on Progress 8. State prior to transformation: - Windows based GUI application - No Web interface - No mobile application - Expensive non-standard based integration with third parties AS-IS Analysis Usability study Cost centres and revenue leaks Scalability, performance bottlenecks Constraints related to multiple channels TO-BE Analysis Identified new UX goals Identified new goals related to i18n, localization, scalability Forecast data volumes Identified analytics needs Identified social reach-out needs – multi-channel capability Adopted Agile, started CI, mandated unit tests (front-end and backend both), built test automation framework, automated testing. Performed UX transformation for Web & Mobile (responsive design) – AngularJS and KendoUI Upgraded Progress OpenEdge to v11.6 Chose appropriate cloud based on the data volume forecasts Designed and created Node.js API economy, set up automated regression tests (Swagger, 3Scale and SOAPUI) Integrated Web Analytics (Google Analytics) Consumed API into a mobile app (Telerik Platform) Approach to Transformation Example Use Case
- 14. Relevance to Progress Ecosystem PAS
- 15. Offers a no-obligation assessment of your legacy applications Helps you with full lifecycle of MEAN applications: design, development, code-reviews, deployment and maintenance. Helps you move away from monolithic systems to microservices or SOA based systems Helps you plan your UX transformation How JKT helps You Transform
- 16. Q & A