2023年Java开发者生产力报告（英）-27页_4mb

Java Developer Productivity Report Summary

Executive Summary

The 2023 Java Developer Productivity Report highlights key Java tools, technologies, and trends shaping the ecosystem. It focuses on how advancements in these tools impact team productivity, with particular attention to Java version usage, microservice architecture adoption, development challenges, and redeployment efficiency.

Key Findings by Category

Java Language and Development Trends

• Java Versions: Java 8 (31%) remains dominant but shows decline; newer versions like Java 11 (28%) and Java 17 (19%) gain traction, especially in larger companies.
• JDK Distributions: Oracle Java (30%) leads, followed by Generic OpenJDK (21%) and AdoptOpenJDK/Adoptium (15%).
• Upgrade Influences: Long-term support (LTS) is the primary reason for upgrades (45%), followed by security (15%) and new features (18%). Performance and compliance are less common factors.
• Java Developer Demand: Companies continue to seek Java developers for enterprise applications; 65% of respondents work in teams with 65% Java-focused roles.

Java Application Architecture Trends

• Microservices: 32% of developers use microservices, with higher adoption (35%) in larger companies. Teams average 1–21 microservices, with 50% experiencing significant start-up time increases.
• Microservice Frameworks: Spring Boot (59%) remains the top framework; others include Quarkus (8%), Micronaut (6%), and DropWizard (2%).
• Application Servers: Apache Tomcat (44%) is the most used server, followed by WebSphere (13%) and Jetty (10%).

Java Technology Trends

• Cloud Platforms: AWS (25%) leads as the PaaS provider, followed by Azure (15%) and IBM Cloud (13%).
• IDE Usage: IntelliJ IDEA (42%) is the most popular IDE, followed by Eclipse (27%) and VSCode (22%). Larger organizations increasingly leverage VSCode alongside established IDEs.

Developer Productivity Trends

• Redeploy Times: Average redeployment times have increased to 10+ minutes for many teams (27% most common range), longer than the previous year. Smaller companies show faster deployment (under five minutes, 67%).
• Developer Tool Budget: 45% of teams have allocated budgets for development tools, with the rest either unaware or unallocated.
• Biggest Obstacles: Java developers cite too many tasks (36%) as the primary productivity blocker, followed by slow redeploy times and inefficient tools.
• Redeploy Impact: If redeploy times were reduced, teams would focus on adding features (27%) and improving processes (19%). Other responses suggest using time for breaks or personal tasks.

Closing Thoughts

Redeploys remain a significant productivity issue. Tools like JRebel can help address this challenge to improve developer productivity. The Java ecosystem continues to evolve with increasing use of newer Java versions, microservices, and cloud platforms.

https://www.jrebel.com