Currently if we have large measurements, we can end up keeping relatively few measurements per bucket. We may wish to increase the default value of the timeseriesBucketMaxSize parameter. Alternatively, we may wish to only consider closing the bucket due to size if we have a certain minimum number of measurements (e.g. 5) or if it would cause the bucket to violate the object size limit (16MiB).