This was one of the clearest breakdowns I’ve read on global vs. local secondary indexes—especially the “scatter and gather” limitation and how partitioned GSIs solve for it. Loved the real-world query examples too. It’s easy to get lost in the abstractions, but this actually helped me visualize the flow. Would love to see a follow-up on how consistency tradeoffs play out between strong vs. eventual in large-scale systems. Great post, Sid.
Thanks a lot for your kind words and for your time to read Anton. Glad u liked the article. I wrote an article some time back about strict vs eventual consistency. Please feel free to check it out
This was one of the clearest breakdowns I’ve read on global vs. local secondary indexes—especially the “scatter and gather” limitation and how partitioned GSIs solve for it. Loved the real-world query examples too. It’s easy to get lost in the abstractions, but this actually helped me visualize the flow. Would love to see a follow-up on how consistency tradeoffs play out between strong vs. eventual in large-scale systems. Great post, Sid.
Thanks a lot for your kind words and for your time to read Anton. Glad u liked the article. I wrote an article some time back about strict vs eventual consistency. Please feel free to check it out
https://newsletter.scalablethread.com/p/consistency-models-in-distributed