Download JAR files tagged by counters with all dependencies

The basic set of BTrace extensions: Atomic, Counters, Numbers, Printer, References, Reflective, Strings, Threads, Time

The filter plugs into the logging pipeline and measures number of log events at each trace level. These counters can be used to monitor error levels for the entire application and for individual loggers. The filter can be also configured to send a subset of log events into a backend storage system such as Axibase Time-Series Database to facilitate root-cause analysis.

The filter plugs into the logging pipeline and measures number of log events at each trace level. These counters can be used to monitor error levels for the entire application and for individual loggers. The filter can be also configured to send a subset of log events into a backend storage system such as Axibase Time-Series Database to facilitate root-cause analysis.

The filter plugs into the logging pipeline and measures number of log events at each trace level. These counters can be used to monitor error levels for the entire application and for individual loggers. The filter can be also configured to send a subset of log events into a backend storage system such as Axibase Time-Series Database to facilitate root-cause analysis.

The filter plugs into the logging pipeline and measures number of log events at each trace level. These counters can be used to monitor error levels for the entire application and for individual loggers. The filter can be also configured to send a subset of log events into a backend storage system such as Axibase Time-Series Database to facilitate root-cause analysis.

The filter plugs into the logging pipeline and measures number of log events at each trace level. These counters can be used to monitor error levels for the entire application and for individual loggers. The filter can be also configured to send a subset of log events into a backend storage system such as Axibase Time-Series Database to facilitate root-cause analysis.

This is an open source library that allows generating performance indicators easily for java based application. This library is configurable through an xml file (similar to log4j) in order to define the performance object types, dimensions, counters, the output format and statistics generation periodicity. Those statistics can be saved as a file (xml/json) or injected directly in a database. Then they can be correlated and analyzed through any Business Intelligence solution in order to check the application performance and quality: number of transactions, ratio of successful and failure ...