2022-06-28-JRebel-2022年Java发展趋势和分析报告（EN）_32页_8mb

Summary of the 2022 Java Developer Productivity Report

Introduction

The 2022 Java Developer Productivity Report by JRebel explores trends in Java development over the past decade. It highlights key shifts, including the rise of microservices, cloud technologies, and productivity tools, while emphasizing the ongoing challenges in developer efficiency amid a talent shortage. The report is based on a survey of 876 Java developers.

Demographic Overview

Respondents were primarily developers and architects in large enterprises (31% with over 1,000 employees). Companies are mostly US-based or Chinese. Development teams are small (3-9 developers, nearly 50% of respondents), and build tools like Maven remain dominant.

Technology Adoption Trends

• Java Language: Java 8 is the most used version at 37%, followed by Java 11 (29%). LTS versions drive upgrades; companies under 100 employees are less tied to LTS.
• Java 17: Adoption is increasing, with 62% of respondents planning upgrades within 12 months.
• Microservices: 32% of companies use microservices, with larger firms adopting at higher rates (36% for those over 100 employees). Spring Boot is the top framework, but redeploy times are slow and costly.
• Development Tools: Docker is the leading VM platform (41%), AWS is the top PaaS provider (31%), and IDEs favor IntelliJ (48%). Build tools like Maven (68%) and Maven outlast Ant.
• CI/CD: Jenkins is most popular, with build times increasing slightly (average over 5 minutes for 51%); commit frequency remains high (at least five times daily).

Productivity Challenges

Redeploy times are a major issue, averaging 2-3 minutes per change, wasting significant time. Smaller teams report faster redeploy times, but overall, redeploy processes hinder productivity. Microservices, intended to simplify redeployments, did not achieve expected time reductions. The survey found that saving 10% of development time could lead to indirect uses like breaks, highlighting missed opportunities for efficiency.

Key Findings and Conclusion

Productivity-focused tools like JRebel are critical for overcoming redeploy bottlenecks. Enterprise Java applications are evolving toward modern stacks, but adoption is slow due to upgrade costs. Addressing redeploy times and leveraging automation can improve developer output, especially with a growing skills shortage.