Presentation: Product Thinking for Cloud Native Engineers

2026-05-18 · Source: InfoQ · Field: Technology & Digital — Software Development & Engineering, Cloud Computing & IT Infrastructure, Product Strategy for Engineers · Depth: Intermediate, extended

Summary

Stéphane Di Cesare and Cat Morris presented on applying product thinking for cloud-native engineers, shifting their role from cost centers to value drivers. They introduced the "Double Diamond" framework, emphasizing problem identification before solution building. The discussion covered selecting appropriate metrics, fostering customer empathy through techniques like shadowing, and leveraging business context to amplify the impact of technical work. Morris, a Staff Product Manager at Syntasso, and Di Cesare, a Senior Platform Engineer at DKB, highlighted the challenges operations teams face in demonstrating value and the importance of focusing on user outcomes over mere outputs. The presentation also touched on frameworks like DevEx and DORA for measuring developer productivity and platform effectiveness, while addressing the complexities of metric selection and stakeholder alignment.

Key takeaway

For cloud-native engineers building internal tools, proactively integrate product thinking into your workflow. Instead of just delivering features, focus on understanding the core problems your users face and how your solutions drive measurable business outcomes. Utilize techniques like user shadowing and continuous discovery to ensure your technical efforts directly contribute to efficiency, cost savings, or risk reduction, thereby justifying your team's value and securing future investment.

Key insights

Engineers must adopt product thinking to drive value by understanding user problems and focusing on outcomes.

Principles

• Prioritize user value and problem identification over immediate solutions.
• Focus on outcomes (impact) rather than outputs (work done).
• Consider the full lifecycle of a product, not just project completion.

Method

The "Double Diamond" framework guides product discovery by exploring and defining problems before developing solutions. Techniques include customer interviews, data analysis, and shadowing users to build empathy and identify key business aims.

In practice

• Shadow users to observe pain points and understand their workflows.
• Ask "why" repeatedly to uncover root causes of problems.
• Read business updates to align technical work with organizational goals.

Topics

• Product Thinking
• Cloud-Native Engineering
• Double Diamond Framework
• Developer Productivity Metrics
• Platform as a Product

Best for: Software Engineer, Director of AI/ML, Product Manager

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Editorial summary, takeaway, and curation by AIssential. Original article published by InfoQ.