Platform Engineering for Private Cloud
summary
Estimates show 50–60% workloads on private cloud and surveys find many organizations want on‑prem AI, so private cloud matters; Kubernetes alone frequently fails to change developer productivity and is only one layer of a platform. Successful platforms treat the stack as platform as a product, run quarterly developer satisfaction surveys to prioritize work, and invest in internal marketing (branding, t‑shirts, channels). Build versus buy models reveal high headcount and cost (multiple teams), and realistic roadmaps take a 3–5 year journey.
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chapters (8)
- 0:00Introduction to Platform Engineering in Private Cloud
- 0:34The Evolution and Importance of Platform Engineering
- 2:30Private Cloud Dominance and Application Support
- 6:31Defining and Understanding Platforms
- 9:56Building and Managing Platforms
- 19:31Internal Marketing and Community Management
- 22:17Justifying Budget and Measuring Success
- 24:52Conclusion and Final Thoughts
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