How to Install and Uninstall syslog-ng Package on openSUSE Leap
Last updated: December 24,2024
1. Install "syslog-ng" package
Please follow the guidelines below to install syslog-ng on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
syslog-ng
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2. Uninstall "syslog-ng" package
This tutorial shows how to uninstall syslog-ng on openSUSE Leap:
$
sudo zypper remove
syslog-ng
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3. Information about the syslog-ng package on openSUSE Leap
Information for package syslog-ng:
----------------------------------
Repository : Main Repository
Name : syslog-ng
Version : 4.0.1-bp155.1.8
Arch : x86_64
Vendor : openSUSE
Installed Size : 3.5 MiB
Installed : No
Status : not installed
Source package : syslog-ng-4.0.1-bp155.1.8.src
Upstream URL : https://syslog-ng.org/
Summary : Enhanced system logging daemon
Description :
syslog-ng is an enhanced log daemon, supporting a wide range of input and
output methods: syslog, unstructured text, message queues, databases (SQL
and NoSQL alike) and more.
Key features:
* receive and send RFC3164 and RFC5424 style syslog messages
* work with any kind of unstructured data
* receive and send JSON formatted messages
* classify and structure logs with builtin parsers (csv-parser(),
db-parser(), ...)
* normalize, crunch and process logs as they flow through the system
* hand on messages for further processing using message queues (like
AMQP), files or databases (like PostgreSQL or MongoDB).
----------------------------------
Repository : Main Repository
Name : syslog-ng
Version : 4.0.1-bp155.1.8
Arch : x86_64
Vendor : openSUSE
Installed Size : 3.5 MiB
Installed : No
Status : not installed
Source package : syslog-ng-4.0.1-bp155.1.8.src
Upstream URL : https://syslog-ng.org/
Summary : Enhanced system logging daemon
Description :
syslog-ng is an enhanced log daemon, supporting a wide range of input and
output methods: syslog, unstructured text, message queues, databases (SQL
and NoSQL alike) and more.
Key features:
* receive and send RFC3164 and RFC5424 style syslog messages
* work with any kind of unstructured data
* receive and send JSON formatted messages
* classify and structure logs with builtin parsers (csv-parser(),
db-parser(), ...)
* normalize, crunch and process logs as they flow through the system
* hand on messages for further processing using message queues (like
AMQP), files or databases (like PostgreSQL or MongoDB).