THIS is one reason why the personal health dashboard is so much better than the status page. The status for your cell might be very different than someone else's!
I still haven't even found a great to visualize or graph it that can help people get a feel for the sensitivities. It asymptotes so quickly, but I'd really love to nail a few paragraphs that could help people reason it out.pic.twitter.com/bZ1NXEd7AM
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I think the best way to look at it is in terms of logarithms (or for non-mathematicians, "how many 9s"). Your blast radius is bounded from above by (S/N)^S where S = the shard size and N = the total number of nodes.
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So the "number of 9s of unaffected clients" > S * log(N/S); if you want 99.99% of clients to be unaffected you could have each client try 4 out of 40 nodes, or 2 out of 200, or 8 out of 8*sqrt(10), for example.
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customer is assigned to nodes 1 and 4. Suppose we get a problem request from
gets service from node 2 for example.