
Playbooks for engineering leaders running multitenant SaaS on AWS who choose predictability over speed: boringly reliable services, controlled cloud spend, and audit-ready compliance.
| Platform | Pricing | Freemium | Publishes | Twice weekly | |
|---|---|---|---|---|---|
| Issues | 189 | Founded | 3 years ago | Last Issue | 6 days ago |
| Active | |||||

Most data platform teams answer the ETL versus ELT question once, at the platform level, and apply that answer to every pipeline.
The reasoning is understandable.
One pattern means fewer tools, fewer skills to maintain, fewer failure mode...
Data mesh usually arrives as an answer to a real problem.
The central data team is a bottleneck. Dashboard requests queue behind one another. Domain teams understand their own data best, but wait weeks for someone else to model it.
Decent...
Most data lakes do not fail because teams chose the wrong AWS service.
They fail because nobody encoded ownership, schema authority, partitioning, and access rules before the first dataset arrived.
The pattern is predictable:
A team crea...
Eighteen months ago, this team adopted the strangler fig pattern to decompose their monolith.
Today they have exactly two services extracted. Both projects are frozen.
The pattern was fine: route traffic through a facade, peel off one cap...
The rehost business case got approved on a clean story:
Move the workload as‑is, shut down the data center, save money.
The slide compared on‑prem cost to modeled cloud cost. The savings number looked solid. Finance signed.
Six months...
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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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