I would like to know more about the kubernetes databases, what kind, challenges, how are the fault domains configured and etc.
Also is not clear to me how intercepting calls helped you to figure out the offending services?
Also is not clear to me how intercepting calls helped you to figure out the offending services?
As for the call sampling/interception, that did not factor into discovering the high cost buckets in the logging case study. It was mostly relevant to generally describing how we track costs and it ends up being useful in other scenarios. For example it could be used to assess the estimated unit economics of customers subscribed into a specific product tier.
We also have the death star microservice model, so even relatively simple attribution can be helpful when you want to run a query like “for my team which owns 30 applications, tell me the monthly attributed cost grouped by resource” and that will be able to return all the associated database and cloud costs.