cross-posted from: https://programming.dev/post/19544005

When managing a database, speed and efficiency are crucial. As applications handle more data and become more complex, the performance of database queries plays a big role in keeping everything running smoothly. One of the best ways to make queries faster is by using indexes. Similar to a book’s index that helps you quickly find a topic, database indexes allow you to find specific data without searching through the entire database. This article explains the basics of indexing, how it improves query performance, and some simple tips for using indexes effectively. Whether your database is small or large, understanding how to use indexes can help keep your application fast and responsive.

When managing a database, speed and efficiency are crucial. As applications handle more data and become more complex, the performance of database queries plays a big role in keeping everything running smoothly. One of the best ways to make queries faster is by using indexes. Similar to a book’s index that helps you quickly find a topic, database indexes allow you to find specific data without searching through the entire database. This article explains the basics of indexing, how it improves query performance, and some simple tips for using indexes effectively. Whether your database is small or large, understanding how to use indexes can help keep your application fast and responsive.

One recommended approach to improving an application’s performance is caching.

cross-posted from: https://programming.dev/post/17309619

In this article, we will explore the key differences between Ktor and Spring Boot for Kotlin developers based on the experience of various developers.

In this article, we will explore the key differences between Ktor and Spring Boot for Kotlin developers based on the experience of various developers.

In this article, we will first discuss what performance is in general, and then we will discuss 10 Spring Boot Performance Best Practices to make our Spring Boot fast and resource-efficient.

cross-posted from: https://programming.dev/post/15919674

https://grafana.com/blog/2024/06/21/shorten-your-feedback-loop-java-observability-with-opentelemetry-grafana-cloud-and-digma.ai/

https://grafana.com/blog/2024/06/21/shorten-your-feedback-loop-java-observability-with-opentelemetry-grafana-cloud-and-digma.ai/

cross-posted from: https://programming.dev/post/15638499

A list of major Java and JVM features since JDK 17 to 22,

New language features JEP-409: Sealed Classes (17) JEP-440: Record patterns (21) JEP-441: Pattern matching for switch (21) JEP 456: Unnamed Variables & Patterns (22)

API changes JEP-306: Restore Always-Strict Floating-Point Semantics(17) JEP-382: New macOS Rendering Pipeline(17) JEP-400: UTF-8 by Default (18) JDK-8301226 – Clamp method for java.lang.(Strict)Math (21) JEP-439: Generational ZGC JEP-444: Virtual threads (21) JEP-454: Foreign Function & Memory(FFM) API (22)

Security JEP-452: Key Encapsulation Mechanism API (21) JDK-8275252: keystore file Features JEP-408: Simple web server (18) JEP-423: Region pinning for G1 (22) JEP-458: multi-file source-code programs (22) JEP-423: Region pinning for G1 (22) JEP-458: multi-file source-code programs (22)

Documentation JEP-413: Javadoc code snippets (18)

Depr

A list of major Java and JVM features since JDK 17 to 22,

New language features JEP-409: Sealed Classes (17) JEP-440: Record patterns (21) JEP-441: Pattern matching for switch (21) JEP 456: Unnamed Variables & Patterns (22)

API changes JEP-306: Restore Always-Strict Floating-Point Semantics(17) JEP-382: New macOS Rendering Pipeline(17) JEP-400: UTF-8 by Default (18) JDK-8301226 – Clamp method for java.lang.(Strict)Math (21) JEP-439: Generational ZGC JEP-444: Virtual threads (21) JEP-454: Foreign Function & Memory(FFM) API (22)

Security JEP-452: Key Encapsulation Mechanism API (21) JDK-8275252: keystore file Features JEP-408: Simple web server (18) JEP-423: Region pinning for G1 (22) JEP-458: multi-file source-code programs (22) JEP-423: Region pinning for G1 (22) JEP-458: multi-file source-code programs (22)

Documentation JEP-413: Javadoc code snippets (18)

Deprecations

Lookahead Scoped values + Structured concurrency Module import declarations

What is Test Coverage? Test Coverage vs Code Coverage What is the gap to have a true test coverage? How can tracing data improve test coverage? Relation between end-to-end tests and Tracing data Let's get our hands dirty with real code Write integration test using MockWebServer Write end-to-end tests without mocking interactions

Tips for becoming a better Java developer, including upgrading Java versions, learning Kotlin, exploring other languages/frameworks, understanding Loom and Structured Concurrency, getting coverage from Oracle, learning Groovy and Scala, practicing Continuous Feedback, using Ktor, building side projects, focusing on observability, staying connected with the Java community, reading professional developer blogs, following influencers on social media, and signing up for a Java articles reading list.

https://digma.ai/identifying-dependencies-during-microservices-migration/

When discussing Observability, OpenTelemetry is crucial because it enables organizations to understand the internal state of their systems through telemetry data. In this article, we will discuss the important role of OpenTelemetry in enabling Observability in Java applications.