February 2019
Intermediate to advanced
444 pages
11h 36m
English

The gathering of monitoring data in production is always a compromise between the costs, in terms of storage and performance overhead, and the expressiveness of the collected data. The more data we collect, the better we hope to be able to diagnose the situation, should something go wrong, yet we don't want to slow down the applications or pay exorbitant bills for storage. Even though most logging frameworks support multiple levels of log severity, a common wisdom is to tune the loggers in production to discard anything logged with the debug level or lower. Many organizations even adopt the rule that successful requests ...