CodeGym/Courses/Spring in Production Course

Spring in Production Course

Master the engineering maturity of Spring development: from reliable testing to containerization. You will learn to test every layer — from unit tests and MockMvc to Testcontainers, understand the inner mechanics of Hibernate, eliminate the N+1 problem, optimize the persistence layer, and package your backend into Docker with PostgreSQL, Redis, and RabbitMQ.
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Detailed training program
  • Why test a Spring Boot application
  • JUnit 6 as the course's working foundation
  • AssertJ, Hamcrest, JSONassert, and JsonPath as the assertion language
  • Mockito without magic and without a false sense of security
  • Unit testing business logic without Spring context
  • Spring Boot 4 testing landscape and test annotations map
  • Test profiles, properties, and managed test configuration
  • JSON tests as a separate API quality layer
  • @WebMvcTest as a basic tool for narrow controller testing
  • MockMvc and HTTP mechanics without launching a server
  • MockMvcTester as a more ergonomic MVC path
  • Validation and error handling in controller tests
  • Applied MVC scenarios: pagination, files, and boundary cases
  • @DataJpaTest and authentic repository-layer testing
  • TestEntityManager, flush, clear, and the real-world consequences of JPA mapping
  • Queries, pagination, and the bridge to a real database
  • Entity relationships, lazy loading, and concurrent scenarios
  • Flyway, @Sql, and repeatable test data
  • @SpringBootTest and the full context map
  • Full-context tests with MockMvc
  • Running server integration tests via RestTestClient
  • A minimal professional regression suite
  • Security testing for a secured Spring Boot API
  • Testing external integrations and simple async behavior
  • Testcontainers and the real PostgreSQL path
  • REST Docs, platform settings, and the final test suite strategy
  • Why Hibernate, what we are building, and how to read SQL output
  • Entity lifecycle and the persistence context as the foundation of everything else
  • Dirty checking and how Hibernate automatically detects object changes
  • Flush and exactly when Hibernate decides to hit the database
  • Detached objects: what happens to them and how to correctly use merge()
  • Lazy loading, proxy objects, and why transaction boundaries matter more than you think
  • N+1 using live examples as the first real ORM problem
  • JOIN FETCH, EntityGraph, and @BatchSize as tools for intentional data loading
  • Entity as a write-model and projection as a read-model in a mature persistence layer
  • HQL, Criteria API, and native SQL — three tools and understanding when to use which
  • Owning side, cascades, and lifecycle design as the foundation of correct mapping
  • Link entity instead of naive ManyToMany — a robust model with control over lifecycle
  • equals(), hashCode(), and proxy in collections as a source of silent, costly bugs
  • Embeddables, value objects, and converters for an expressive and convenient domain model
  • Identifier strategies, natural id, and their actual runtime cost
  • Inheritance, @DynamicUpdate, schema constraints, and mature mapping design
  • Hibernate inside Spring transactions and transaction boundary at the service level
  • Optimistic locking as basic protection against lost updates in business scenarios
  • Pessimistic locking as a targeted tool for critical concurrent sections
  • Soft delete, filters, and managing data visibility in a real application
  • Hibernate Envers as a complete change history without manual audit fields
  • Lifecycle callbacks and listeners — a convenient mechanism with hidden side effects
  • JDBC batching as a practical way to speed up bulk writes
  • Bulk operations and StatelessSession as a way to go beyond the entity model
  • Read-only mode, first-level cache, and caching as part of performance thinking
  • SQL diagnostics and performance audit as a systematic approach to optimization
  • Hibernate under the hood of Spring Data JPA and the limits of abstraction convenience
  • ORM integration testing to catch real database layer bugs
  • Hibernate anti-patterns and refactoring as preparation for a proper code review
  • Final persistence audit, decision framework, and growth roadmap after the course
  • Container thinking for the Java/Spring developer and the full course map
  • Everyday Docker CLI without DevOps overload
  • The first container for a Spring Boot application
  • Dockerfile through the eyes of a Java developer
  • Layers, cache, and fast image rebuilds
  • Multi-stage build as the standard path for Java
  • Base images, reproducibility, and platforms
  • Layered Spring Boot images on Boot 4.0.3
  • Buildpacks and bootBuildImage
  • Development target and debug-oriented image
  • Externalized configuration inside a containerized Boot application
  • Profiles and external configuration files
  • Volumes, bind mounts, and file scenarios
  • Logs, health, and graceful application shutdown (graceful shutdown)
  • Compose as the standard way to live with multiple containers
  • The first production-grade setup — app + PostgreSQL
  • Startup order and the real readiness model
  • Flyway and the local environment lifecycle
  • Adding Redis to the same Compose stack
  • Adding RabbitMQ without turning the course into a messaging track
  • Developer workflow around Compose
  • Troubleshooting workshop
  • JVM under memory and CPU limits
  • Image hygiene, non-root, and the final reusable template
400+
Lessons
700+
Tasks
80
Tests
And also:
  • Instant validation
  • AI code validator
  • IDE plugin
  • WebIDE
  • Gamification