Udemy - Integration Testing with Testcontainers Java & Spring Boot

Java & Spring Boot Integration Testing with Testcontainers: Databases, Kafka, CI/CD
What you'll learn
Build real-world integration tests for Spring Boot applications using Testcontainers, Docker containers, and production-grade environments.
Perform integration testing for databases like PostgreSQL, MySQL, MongoDB, Redis, and Elasticsearch using real containerized services.
Test messaging systems including Kafka, RabbitMQ, ActiveMQ, and IBM MQ in Spring Boot applications using Testcontainers.
Integrate Testcontainers into CI/CD pipelines with GitHub Actions, GitLab CI, and CircleCI, and generate professional test reports.
Requirements
Familiarity with basic Java syntax
Spring Boot basic fundamentals
No prior experience with Testcontainers is required - all core concepts are taught from scratch
Description
Testcontainers and Spring Boot: Real-World Integration Testing for Modern Java ApplicationsMaster integration testing using Docker containers for databases, messaging systems, external APIs, and CI/CD pipelines.Tired of unreliable integration tests that break in production? In this course, you will learn to replace brittle mocks with real containerized services using Testcontainers - the powerful Java library trusted by top developers for production-like integration testing.You will build Spring Boot applications tested against real instances of PostgreSQL, Kafka, MongoDB, Redis, and more - all running inside isolated Docker containers.Key Skills You Will Master:Testcontainers Core (JUnit 5 and Spring Boot 3.1+)Start containers easily using @Container and @Testcontainers annotationsChoose between GenericContainer and specialized containers like PostgreSQLContainerUtilize Spring Boot 3.1's @ServiceConnection for automatic container configurationDatabase Integration TestingTest database migrations with Flyway and Liquibase inside real PostgreSQL/MySQL containersSolve common issues like connection pooling, transaction isolation, and schema versioningMessaging Systems Integration TestingValidate Kafka, RabbitMQ, ActiveMQ, and IBM MQ messaging flows using real message brokersTest consumer retries, dead-letter queues, and serialization logicCI/CD Integration TestingSpeed up pipelines by reusing containers with the Singleton patternIntegrate Testcontainers into GitHub Actions, GitLab CI, and CircleCI workflowsGenerate detailed test reports with Maven Surefire and Failsafe pluginsAdvanced Testing ScenariosTest MongoDB queries and Redis caching inside containersRun Selenium-based UI tests inside Dockerized Chrome/Firefox browsersMock external APIs using WireMock and MockServer in Testcontainers environmentsWhy This Course Works:For Developers:Fix "works on my machine" bugs with real integration environmentsReduce test flakiness by 60-70 percent compared to mock-based testsLearn best practices used by top Java teams in production systemsFor Tech Leads and Architects:Standardize testing strategies across microservices and monolithic applicationsCut CI/CD build times and cloud infrastructure costs with smarter container managementPrerequisites:Java and Spring Boot basic experienceFamiliarity with Docker (running containers)Learn to design scalable, reliable integration tests that mirror production behavior - and gain confidence in your Spring Boot deployments.Enroll now and master Testcontainers for professional-grade Java testing.
Who this course is for
Java Developers (especially Spring Boot Developers) who want to master real-world integration testing with Testcontainers and Docker
Backend developers and software engineers building microservices or monolithic applications needing production-like integration tests.
Tech Leads who need to standardize testing across microservices and optimize CI/CD pipelines (GitHub Actions/CircleCI) with Testcontainers.
Full-Stack Developers working with NoSQL (MongoDB/Redis) or UI tests (Selenium) who want to run everything in isolated Docker containers.
QA engineers, SDETs, and testers interested in testing databases, messaging systems, and external APIs using containerized services.
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