Publication Date:

2024

Publisher:

DORA (DevOps Research & Assessment), Google Cloud

# of Pages:

120
2024 Accelerate State of DevOps Report

TLDR:

Key Insight: The future of software delivery is being rewritten by AI, platform engineering, and transformational leadership. AI is accelerating developer productivity, but its impact on software stability and delivery speed remains a challenge. High-performing teams are not just leveraging AI—they are mastering continuous improvement, leadership, and user-centric development to drive innovation. Major Impact: 75.9% of developers now use AI, yet 39.2% remain skeptical of AI-generated code. Platform engineering boosts productivity by 10%, but trade-offs like reduced software stability highlight the need for balance. Organizations that prioritize user experience, stable priorities, and strong leadership see higher job satisfaction, reduced burnout, and better software outcomes. Actionable Takeaway: The best teams don’t just adopt AI—they cultivate a culture of adaptability, continuous learning, and human-AI collaboration. To thrive, organizations must align AI adoption with strong leadership, invest in platform engineering wisely, and place users at the heart of software development. The road to elite performance is not about speed alone—it’s about resilience, innovation, and the relentless pursuit of excellence.

Summary

2024 Accelerate State of DevOps Report

The 2024 Accelerate State of DevOps Report marks 10 years of DORA research, providing insights into high-performing DevOps teams, AI adoption, software delivery metrics, and platform engineering. This edition explores how AI is reshaping software development, the effectiveness of platform engineering, and the critical role of leadership in DevOps success.


Key Takeaways:

  • AI Adoption in DevOps: 75.9% of developers use AI tools for coding, debugging, and documentation, yet 39.2% express low trust in AI-generated code.
  • Software Delivery Performance: High-performing teams excel across Four Key Software Delivery Metrics:
  • Change lead time, deployment frequency, change failure rate, and failed deployment recovery time.
  • Low performers struggle across all metrics, emphasizing the need for small batch sizes and strong testing mechanisms.
  • Platform Engineering Growth: 89% of organizations now use internal developer platforms (IDPs), improving productivity (+8%), team performance (+10%), and organizational efficiency (+6%). However, IDPs also lead to trade-offs, including:
  • 8% decrease in software delivery throughput.
  • 14% drop in change stability.
  • The report advises balancing self-service capabilities with robust monitoring.
  • Leadership & Organizational Stability:
  • Strong leadership reduces burnout and improves team performance.
  • Unstable priorities lead to increased burnout, even in teams with good leadership and documentation.
  • AI’s Impact on Software Development:
  • AI boosts productivity and developer satisfaction but does not yet improve software delivery stability.
  • Organizations should track AI’s effects on quality before assuming better outcomes.

Conclusion:

The 2024 DORA Report offers a comprehensive analysis of AI's growing role in DevOps, the importance of leadership, and the benefits and risks of platform engineering. While AI is transforming software development, organizations must balance efficiency, stability, and performance to realize its full potential.


For further insights, refer to the full 2024 Accelerate State of DevOps Report..

Tags

DevOps, Platform Engineering, Software Delivery, Developer Productivity, Automation

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