Java Backend Development: Spring Boot 3 and Elasticsearch

Modern backend development requires more than just storing data; it requires the ability to search and retrieve information with lightning speed. This course provides a practical path to mastering the integration of Spring Boot 3 and Elasticsearch, two of the most powerful tools in the Java ecosystem. You will progress from understanding core architectural concepts to implementing a fully functional, searchable backend. By the end of this course, you will be able to design RESTful services that handle complex data requirements while maintaining clean, monitorable codebases. What you'll learn: - Understand the core architecture of Spring Boot 3 and Elasticsearch integration. - Implement advanced search features and data indexing using Spring Data Elasticsearch. - Create professional RESTful APIs utilizing modern Java features like Records and sealed classes. - Configure automated API documentation using Swagger and OpenAPI standards. - Manage project dependencies and builds effectively with Gradle. - Monitor application health and data integrity using Kibana and structured logging. - Practice backend testing workflows using Postman and version control with Git. The course begins with essential terminology and the setup of a professional development environment before moving into hands-on implementation. You will explore how to connect Java applications to a search engine, handle data mapping, and ensure your APIs are well-documented and ready for production. This course is designed for Java developers who have a basic understanding of the language and want to modernize their skill set for today's backend roles. No prior experience with Spring Boot or Elasticsearch is required. Start building scalable, search-driven Java applications today through clear written guidance and practical code examples.