Shyaamal11

5 ms·

1. 1.▲
   by Shyaamal11 7mo ago

   One thing I’ve seen with this pattern is that Postgres + CDC works really well as an early-stage streaming backbone, especially when the operational DB is already the source of truth. Using WAL → CDC → downstream systems keeps the architect
2. 2.▲
   by Shyaamal11 7mo ago

   One thing I’ve noticed while working with data/AI workflows is that the “acceptance criteria first” idea applies even more strongly once you move beyond code generation into data pipelines and analytics. LLMs can generate queries, tran
3. 3.▲
   by Shyaamal11 7mo ago

   The cross warehouse portability problem you're solving is real. I've watched teams maintain four separate FLATTEN implementations for the same pipeline just because they were multi-cloud. The compiler framing makes sense. Curious
4. 4.▲
   by Shyaamal11 7mo ago

   Amazing to see such a support
5. 5.▲
   by Shyaamal11 7mo ago

   The spam scoring caught my eye — 45+ heuristic signals is a lot. How do you handle false positives for transactional emails? A password reset or order confirmation might legitimately trigger some of those signals (no unsubscribe, image-heav
6. 6.▲
   by Shyaamal11 7mo ago

   Worth separating two things the thread keeps conflating: data residency and data sovereignty are not the same, and the CLOUD Act is the clearest proof. Residency = where data physically sits. Sovereignty = who legally controls it. You can s