Java

Building high-performance REST APIs using Java and Spring Boot requires efficient data handling, exception management, caching, pagination, security, asynchronous processing, and documentation. Focus on speed, scalability, and reliability to create powerful APIs.

Redis supercharges microservices with fast caching, versatile data structures, and real-time features. It enhances scalability, consistency, and performance, but requires careful management and security considerations for optimal use.

Java and Deep Java Library (DJL) combine to create powerful AI systems. DJL simplifies machine learning in Java, supporting various frameworks and enabling easy model training, deployment, and integration with enterprise-grade applications.

Java developers urged to replace outdated libraries with modern alternatives. Embrace built-in Java features, newer APIs, and efficient tools for improved code quality, performance, and maintainability. Gradual migration recommended for smoother transition.

TestBench revolutionizes UI testing for Vaadin apps with seamless integration, cross-browser support, and visual regression tools. It simplifies dynamic content handling, enables parallel testing, and supports page objects for maintainable tests.

Crafting an Observability Wonderland with Micronaut and Micrometer

Mastering Micronaut Interceptors for Clean and Scalable Java Applications

Protocol Buffers and Java: Crafting Rock-Solid, Efficient Applications with Data Validation

Mastering Modern SaaS: Building Robust Multi-Tenant Applications with Micronaut

Circuit breakers prevent cascading failures in microservices, acting as protective bubbles. They monitor failures, adapt to scenarios, and unlock performance by quickly failing calls to struggling services, promoting resilient architectures.

Crafting Durable Microservices: Strengthening Software Defenses with Spring Cloud Stream and Kafka Magic

Micronaut and Java Modules: Building Modular Applications with Ease