sponsored | Software Engineering Intelligence Platform or why DORA metrics are not enough

In today’s fast-paced software development environment, having the right tools to drive performance and innovation is essential. While DORA (DevOps Research and Assessment) metrics are a popular benchmark for measuring DevOps success, they often provide an incomplete view of the software engineering process. Though DORA metrics measure key aspects like deployment frequency, lead time, and change failure rate, they don't capture the full complexity of modern software development, leaving teams with limited insights for improvement. In this session, we’ll dive into why DORA metrics, while useful, are not enough to truly optimize software engineering at scale. We'll introduce Digital.ai’s Software Engineering Intelligence (SEI) Platform, which goes beyond traditional metrics to offer a more comprehensive approach to engineering performance. The SEI Platform combines a suite of powerful tools—including release management, agile planning, mobile app testing, and security—with advanced analytics to provide a holistic view of your entire software development lifecycle. Key takeaways from this session will include: Why DORA metrics alone can be misleading: While they focus on a few critical areas, they miss key factors like operational efficiency, security, and collaboration that are vital for a well-rounded view of engineering success. How the SEI Platform connects and integrates diverse tools: By integrating tools for release management, agile planning, mobile app testing, and security with advanced analytics, the SEI Platform enables a unified view of performance that stretches across the entire development pipeline. The future of software engineering intelligence: How AI and machine learning are powering the next generation of engineering intelligence, continuously driving improvements in development speed, security, and collaboration. Join us to learn how Digital.ai’s Software Engineering Intelligence Platform provides more than just metrics—it empowers organizations with a full range of tools and insights to accelerate innovation, ensure quality, and optimize the entire software delivery lifecycle.

Sven has more than 20 years of experience in the IT Industry.  He started his career at IBM where he spent time in a number of roles from Linux kernel development to Test Manager for RedHat, Suse and Ubuntu.  He has worked throughout Europe and South East Asia.  More recently he has been using this expertise to guide a broad range of customers as they implement and optimise their DevOps practices, emphasizing the importance of good engineering methodologies to help companies succeed in their software delivery process.  As Senior Sales Engineer at Digital.ai, he ensures our customers are able to deliver innovation with confidence.  

Sven Schütz
16:15 - 17:15
Vortrag: FDi4

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