Successful Software Development in Big Corporations

Explore software development in big corporations via the Industrial Machines Corporation. Follow the sales and pricing division as it provides internal it services, discount recommendations, price calculations, and risk assessments.

Explore the Juggernaut project to integrate Unified Cranes into the behemoth system, balancing waterfall scope with agile practices and six phases of weekly test deployments.

Discover behemoth, a discount calculator using customer loyalty, credit rating, and order history. Inspect its architecture: relational database, Goliath components, data imports, and rest api plus admin interfaces.

Explore the four challenge categories—functional, technical, infrastructural, and organizational—facing development teams in big corporations, with real-world examples of miscommunication, monolithic systems, and slow approvals, and discover paths out.

Explore how the Matryoshka model frames Melissa's growth and onboarding and Michael's planning and team leadership on the Juggernaut project.

The matryoshka development approach reframes software development as layered, abstract-to-concrete work, guiding you from refined requirements to a released application with artifacts.

Understand the Matryoshka development approach, moving through six layers from requirement refinement to production-ready integration. Apply rapid iteration, backtracking, and test-driven development to refine artifacts and adapt to evolving requirements.

Identify actors, entities, and relations to build a functional data model from a business requirement, using a discount recommendation example with customers, products, orders, ratings, and countries.

Master a refresher on Java generics, collections, functional interfaces, and lambda expressions. Explore dependency injection, builders, and Lombok to simplify construction and promote separation of concerns in enterprise code.

Translate the abstract algorithm into a concrete Java implementation, wiring dependencies and unit tests to verify correctness while applying date checks, country-based adjustments, thresholds, and loyalty rules for big corporations.

Inspect the behemoth framework and its Goliath component, map your component’s data model to it, and prepare for integration tests with Spring Boot and an in-memory database.

Integrate the isolated component into the behemoth application by building data model mappings and adapters, translating between our model and the Goliath framework while validating with unit tests.

Apply test driven development to create a spring boot integration test validating the discount controller via an http call and json response, initially failing, then integrate.

Integrate the final adjustment component into the behemoth application by building adapters that translate external services into internal interfaces, register the modification in the rule engine, and verify with tests.

Handle specification changes by tracing from the abstract requirement to concrete implementation, updating data models, algorithms, tests, and adapters for multi-country scenarios.

Refactor your code to optimize structure without changing functionality, unifying data models and services, enforcing conventions, and adding logging and validation for a cleaner, more maintainable codebase.

Explore three avenues for performance optimization—optimizing algorithms, caching, and a preliminary calculation—demonstrated by decorating a country-based adjustment map with a cache to avoid repeated data retrieval.