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For computer log management, the Common Log Format, [1] also known as the NCSA Common log format, [2] (after NCSA HTTPd) is a standardized text file format used by web servers when generating server log files. [3] Because the format is standardized, the files can be readily analyzed by a variety of web analysis programs, for example Webalizer ...
Property lookup support for values defined in the configuration file, system properties, environment variables, the ThreadContext Map, and data present in the event; Support for multiple APIs: Log4j 2 can be used with applications using the Log4j 2, Log4j 1.2, SLF4J, Commons Logging and java.util.logging (JUL) APIs. Custom log levels
A logger has a name. The name is usually structured hierarchically, with periods (.) separating the levels. A common scheme is to use the name of the class or package that is doing the logging. Both Log4j and the Java logging API support defining handlers higher up the hierarchy. For example, the logger might be named "com.sun.some.UsefulClass ...
Simple Logging Facade for Java (SLF4J) provides a Java logging API by means of a simple facade pattern.The underlying logging backend is determined at runtime by adding the desired binding to the classpath and may be the standard Sun Java logging package java.util.logging, [2] Log4j, Reload4j, Logback [3] or tinylog.
Airflow: Python-based platform to programmatically author, schedule and monitor workflows; Allura: Python-based open source implementation of a software forge; Ambari: makes Hadoop cluster provisioning, managing, and monitoring dead simple; Ant: Java-based build tool
Log4Shell (CVE-2021-44228) is a zero-day vulnerability reported in November 2021 in Log4j, a popular Java logging framework, involving arbitrary code execution. [2] [3] The vulnerability had existed unnoticed since 2013 and was privately disclosed to the Apache Software Foundation, of which Log4j is a project, by Chen Zhaojun of Alibaba Cloud's security team on 24 November 2021.
Apache Parquet is a free and open-source column-oriented data storage format in the Apache Hadoop ecosystem. It is similar to RCFile and ORC, the other columnar-storage file formats in Hadoop, and is compatible with most of the data processing frameworks around Hadoop.
RELP was developed in 2008 as a reliable protocol for rsyslog-to-rsyslog communication.As RELP designer Rainer Gerhards explains, the lack of reliable transmission in industry-standard syslog was a core motivation to create RELP. [2]