Join Nathen Harvey, who leads the DORA team at Google Cloud, for Accelerating Success: How to Optimize Value Delivery with DORA.
Discover how DORA’s research-backed framework helps teams measure performance, shift from gatekeeping to enabling change, and use data to target real bottlenecks.
Nathan will also share DORA’s latest findings on Generative AI, revealing why adopting AI tools without a strategy can sometimes slow you down instead of speeding things up.
Book your free spot today and learn how to deliver software faster, safer, and with greater confidence!
How can QA teams transition from being seen as reactive gatekeepers to proactive enablers of safe, confident change?
How DORA can evolve QA as well?
What’s the biggest mistake teams make when trying to use DORA metrics to speed up delivery?
How will AI reshape the role of testers and SDETs in the next few years?
How to integrate DORA metrics into proactive change enablement workflows?
Is agentic AI vs. GenAI the future for DORA?
Do you see AI helping global testing communities bridge gaps between beginners and experts?
What role will community-driven contributions (like open-source AI tools for testing) play in shaping the future of QA?
Is AI can lead the whole community?
How to use DORA is it fine tuning technique just like LoRA (Low-Rank Adaptation), QLoRA (often called QDoRA)?
How do you automate the gathering of DORA metrics? Custom program or use third party tools?
Where is the bottleneck that’s slowing delivery? Is it QA not adopting AI fast enough or effectively? What would effective adoption be?
What’s the biggest pitfall teams encounter when applying DORA metrics to improve delivery speed?
