The Cloud Playbook
Amrut PatilMost platform teams optimize for speed. The best ones optimize for predictability on AWS in high‑stakes environments.
| Platform |  | Pricing | Freemium | Publishes | Twice weekly |
|---|---|---|---|---|---|
| Issues | 170 | Founded | 2 years ago | Last Issue | 10 days ago |
| Active | |||||
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TCP #123: Golden paths fail when they require engineers to choose them
The platform team publishes the golden path.
A Confluence page. A README. A wiki entry explaining the approved way to deploy a new service, provision a database, or configure observability.
Adoption is strong in the first two weeks. Engi...
TCP #122: Your approval process needs a classification model, not just a queue
When platform teams grow their approval scope without a classification model, two things happen simultaneously.
App teams wait for approvals they do not actually need. And high-risk infrastructure changes move through the same queue as rou...
TCP #121: Accountability Without Authority Is How Platform Teams Fail
The most common dysfunction I see in platform engineering is not technical.
It is organizational.
The platform team is accountable for reliability, cost, and compliance readiness. Simultaneously, app teams provision their own infrastructu...
TCP #120: The Infrastructure Ownership Matrix For Platform And App Teams
A practical way to decide who can provision which AWS resources, under what conditions, and with whose approval.
Sunday’s issue named the problem: infrastructure provisioned without an ownership model creates reliability gaps, cost exposur...
TCP #119: Platform Teams Do Not Scale by Saying Yes Faster
Requests pile up. Developers escalate to their managers, who escalate to platform leadership.
The SLA misses compound. Engineers work hard and still fall behind.
Every VP who sees this situation reaches the same conclusion: the platform t...
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Playbooks for engineering leaders on AWS who get blamed when things break, cost too much, or fail audits. \ud83d\udcec Get The Cloud Playbook ↓
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