to lock the cache entry while the value is being computed. As a result, only one thread is busy computing the value, while the others are blocked until the entry is updated in the cache. The 113 following

ShallowEtagHeaderFilter filter creates a “shallow” ETag by caching the content written to the response and computing an MD5 hash from it. The next time a client sends, it does the same, but it also compares the computed

management.metrics.distribution.percentiles- histogram Whether to publish a histogram suitable for computing aggregable (across dimension) percentile approximations. management.metrics.distribution.minimum- meters to the StatsD server. true management.metrics.export.statsd.step Step size to use in computing windowed statistics like max. To get the most out of these statistics, align the step interval

management.metrics.distribution.percentiles- histogram Whether to publish a histogram suitable for computing aggregable (across dimension) percentile approximations. management.metrics.distribution.minimum- meters to the StatsD server. true management.metrics.export.statsd.step Step size to use in computing windowed statistics like max. To get the most out of these statistics, align the step interval

management.metrics.distribution.percentiles- histogram Whether to publish a histogram suitable for computing aggregable (across dimension) percentile approximations. management.metrics.distribution.minimum- meters to the StatsD server. true management.metrics.export.statsd.step Step size to use in computing windowed statistics like max. To get the most out of these statistics, align the step interval

management.metrics.distribution.percentiles- histogram Whether to publish a histogram suitable for computing aggregable (across dimension) percentile approximations. management.metrics.distribution.minimum- meters to the StatsD server. true management.statsd.metrics.export.step Step size to use in computing windowed statistics like max. To get the most out of these statistics, align the step interval

management.metrics.distribution.percentiles- histogram Whether to publish a histogram suitable for computing aggregable (across dimension) percentile approximations. management.metrics.distribution.minimum- meters to the StatsD server. true management.metrics.export.statsd.step Step size to use in computing windowed statistics like max. To get the most out of these statistics, align the step interval

management.metrics.distribution.percentiles- histogram Whether to publish a histogram suitable for computing aggregable (across dimension) percentile approximations. management.metrics.distribution.minimum- meters to the StatsD server. true management.metrics.export.statsd.step Step size to use in computing windowed statistics like max. To get the most out of these statistics, align the step interval

management.metrics.distribution.percentiles- histogram Whether to publish a histogram suitable for computing aggregable (across dimension) percentile approximations. 479 Property Description management meters to the StatsD server. true management.statsd.metrics.export.step Step size to use in computing windowed statistics like max. To get the most out of these statistics, align the step interval

management.metrics.distribution.percentiles- histogram Whether to publish a histogram suitable for computing aggregable (across dimension) percentile approximations. management.metrics.distribution.minimum- meters to the StatsD server. true management.metrics.export.statsd.step Step size to use in computing windowed statistics like max. To get the most out of these statistics, align the step interval