The Platform Engineering Snapshot
How organizations implement Platform Engineering today, what's working, what isn't, and why.
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The Platform Engineering snapshot report reveals how organizations implement Platform Engineering today, what's working, what isn't, and why.
We surveyed technical professionals across industries and roles to understand the gap between Platform Engineering theory and reality. The research explores what drives adoption decisions, which platform features deliver real value, how teams measure success, and which strategies actually move the needle.
The result is a practical benchmark that cuts through the noise. Whether you're just starting your platform journey or looking to optimize existing initiatives, this snapshot provides the evidence-based insights you need to make smarter decisions and accelerate your organization's platform maturity.
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Uncovering platform approaches
Key highlights
Adoption drivers
Organizations primarily adopt Platform Engineering to improve efficiency, standardize processes, and increase productivity through automation, rather than the expected focus on reducing developer cognitive load and burnout.
Common platform features
High-performing platforms are more likely to implement builds, deployment automation, test automation, monitoring & observability, artifact management, and infrastructure automation. Across all organizations, builds, deployment automation, and infrastructure automation are most common.
Success metrics
Nearly 25% of organizations rely on subjective assessments rather than formal metrics to evaluate platform success. Those using metrics employ 1-8 different measures, indicating wide variation in measurement approaches.
Adoption strategy effectiveness
63% of platforms are mandated rather than optional. Platform producers report higher success rates (75%) than consumers (56%), revealing a significant perception gap between builders and users.