Platform Engineering Guide 2026
Practical platform engineering guide for senior engineers
I spent twenty years in platform engineering and could never find a resource that treated it as a complete discipline rather than vendor marketing or beginner tutorials. So I wrote the one I wished had existed.
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Launch Intel predictions
Analyze your own launch →47%47% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.
46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.
32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
26%26% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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