Sr Java Developer | Digital Banking | FinTech | Spring Boot | Microservices
7 Years of progressive experience in designing, developing and implementing web applications using JavaEE, Spring Framework, Spring Boot, Spring MVC, Spring Security, Struts, JSF, JDBC, JSP, Servlets and Hibernate etc.
Kafka Producer And Consumer In Spring Boot: Appache Kafka is a distributed event streaming platform that is widely used for handling real-time data streams in large-scale applications. Why Use Kafka? There are many reasons to use kafka, but the main reasons are: Real-time Data Streaming: Kafka efficiently and reliably transfers real-time data between applications and systems, making it perfect for handling events, logs, metrics, and other time-sensitive data. When to use Kafka? Stream Processing: Kafka is commonly used in stream processing applications where real-time data needs to be ingested, processed, and distributed to different components of the system.
What does it mean to add primitive types to Pattern Matching? Until Java 23, switch constructs (statements and expressions) worked with reference variables and some primitives data types, such as int, byte, short (with constraints). Also, the instanceof operator couldn’t be used with any primitive data type. With Java 23, you will be able to use ALL the primitive data types, including boolean, long, float, double and long, with pattern matching in Switch constructs and instanceof operators. This applies to using it in nesting and top level contexts.
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