For self-paced learning of testing, Hibernate, and containerization of Spring Boot applications
Access to the Spring in Production course
The interactive self-paced course consists of 80 levels organized into 3 quests covering all necessary topics: from a complete test suite and Testcontainers to the persistence context, N+1, and Docker Compose with a multi-service stack. You will find over 400 lectures and 700+ practical tasks.
WebIDE for practice
We have designed a dedicated practice environment where you can safely experiment with code. All programs compile and run in real-time, allowing you to see results instantly. This lets you learn by doing without installing complex tools at the start.
Practical tasks
The course includes over 700 tasks on Spring Test, Hibernate, and Docker to help you master all the essential skills. You will learn to write unit and controller tests via MockMvc, test the repository layer using @DataJpaTest, run Testcontainers with a real PostgreSQL database, manage persistence contexts and fetch strategies, eliminate N+1 issues and apply locking, build Docker images for Spring Boot, and manage a multi-service environment via Compose. Every task features clear instructions and instant solution verification.
Task requirements
After submitting a solution for review, you will receive a detailed report showing which requirements have been met and which haven't. Instead of guessing why your program crashes or won't compile, you will know exactly what needs to be fixed.
Instant task verification
All your programs are verified automatically and instantly. The system checks not only syntax correctness but also business logic, including test coverage, entity mapping validity, and Docker configuration accuracy. You get feedback right away so you can improve your solution.
Optimization recommendations
Our algorithms analyze your solution, and if it is suboptimal, you receive smart recommendations from an AI mentor. The system will guide you on how to choose the right test slice instead of loading the full context, manage test data via Flyway and @Sql, eliminate N+1 issues using join fetch and @EntityGraph, choose the correct fetch strategy, and optimize Docker images using multi-stage builds and layered images.