opik-backend

Java backend architecture best practices for Opik involve using Guice for dependency injection, creating clear interfaces, and following established patterns. Developers must structure code to ensure maintainability, scalability, and efficient DI handling across Java applications.

To handle errors and logging securely in a Java backend, use Jakarta Exceptions for error management and configure logging to avoid sensitive information leakage. This approach maintains security while ensuring robust error handling across the application.

For MySQL and ClickHouse database patterns, implement schema management, deduplication, and migration practices using Liquibase. These patterns ensure data integrity and smooth schema evolution across both database systems in the backend.

Yes, you can use Lombok conventions for clean Java code and immutable collections for API design. The guidelines recommend specific practices for query parameters, lists, and SQL to ensure secure and efficient API interfaces.

Yes, you need prior Java knowledge and an understanding of Opik project specifics to implement these backend patterns. The guidelines are designed for developers already familiar with Java to optimize backend operations and maintain high-quality code.