BackgroundWe want to unify the collection of logs, unified analysis, unified on a platform to search the filter log! In the previous article has completed the construction of elk, then how to set the log of each client to the Elk platform?"Introduction of this system"ELK--192.168.100.10 (this place needs to have FQDN to create an SSL certificate, you need to configure fqdn,www.elk.com)The client that is collecting
the form of forwarding, the original information will not be encoded conversion. The presence of a rich filter plug-in is an important factor in the power of Logstash, providing more than just filtering functionality, complex logic processing, and even the addition of new Logstash events to subsequent processes. Only the Logstash-output-elasticsearch configurati
@node1 logstash-6.2.3]# bin/logstash-f config/local_syslog.conf sending Logstash ' s logs to/var/log/logstash which is now configured via log4j2.properties [2018-04-26t14:39:57,627][info][logstash.modules.scaffold] Initializing Module {:module_name=> "NetFlow",:d irectory=>
Describes how to export log4j logs to Logstash from Java projects. First, log4j Foundation
Cannot exception the official introduction:
Log4j is a reliable, fast, flexible log framework (API) written in the Java language, and is licensed using Apache Software License. It is ported to C, C + +, C #, Perl, Python, Ruby, and Eiffel languages.
The log4j is highly configurable and is configured at run time using
In a production environment, Logstash often encounter logs that handle multiple formats, different log formats, and different parsing methods. The following is said Logstash processing multiline Log example, the MySQL slow query log analysis, this often encountered, the network has a lot of questions.MySQL slow query log format is as follows:
# User@host:ttlsa[t
Rsyslog is a log collection tool. Currently, many Linux systems use rsyslog to replace syslog. I will not talk about how to install rsyslog. I will talk about the principle and the configuration of logstash.
Rsyslog itself has a configuration file/etc/rsyslog. conf, which defines the log file and the corresponding storage address. The following statement is used as an example:
local7.* /var/log/boot.log
I
Collection process 1nxlog = 2logstash + 3elasticsearch1. Nxlog Use module Im_file to collect log files, turn on location recording function2. Nxlog using the module TCP output log3. Logstash use INPUT-TCP, collect logs, and format, output to ESThe Nxlog configuration file above windowsNxlog.conf
1234567891011121314151617181920212223242526272829303132333435363738394041
##Thisisasampleconfigu
Collection process 1nxlog = 2logstash + 3elasticsearch1. Nxlog Use module Im_file to collect log files, turn on location recording function2. Nxlog using the module TCP output log3. Logstash use INPUT-TCP, collect logs, and format, output to ESThe Nxlog configuration file above windowsNxlog.conf##thisisasampleconfigurationfile.seethenxlog referencemanualaboutthe##configurationoptions.itshouldbe installedloc
in the following two steps:
Docker Daemon creates a user-specified process/bin/bash, so/bin/bash's parent process is Docker Daemon
Docker Daemon sets limits for process P5, such as the isolation Environment (namespaces) in which the container's main process P1 is joined, and is subject to resource constraints (Cgroup) as other processes
I recently added support for Docker container logs in the Log collection feature. This article simply talks about strategy selection and how to handle it.
About the container log for DockerI'm not going to say much about Docker, it's going to be hot for two years. Recently I was also deploying some components of the log system into
Log is a very important part of the system, through the log can be found in time the problems in the system, but also to provide clues to repair problems. Docker provides a variety of plug-in ways to manage logs, and this article records the process of using MongoDB to store Docker logs.Data FlowCreated with Raphaël 2.1.2
Start
The basic configuration of Docker + Fluentd + MongoDB was completed in the previous article, "Using the MongoDB storage Docker log." However, in the actual use of the process, but found that Docker generated logs are not immediately written to the MongoDB, there are about 1 minutes of delay.
Consult the FLUENTD documen
to the Nginx master process.
After the Nginx master process receives the signal, it does some processing and then asks the worker process to reopen the log file
Worker process opens a new log file and closes the old log file
In fact, we really need to do the work only two points ahead!
Create a test environment
Assuming that you have Docker installed in your system, here we run an nginx container directly:
$
Attach Attachment Container
Attach can only be used for interactive containers, not for background containers, when we start an interactive container with Docker start or Docker restart, the container is interactive but the container does not have a terminal associated with it. This allows the attach command interaction container to be associated with a terminal.First, give some of the columns.Docker run-i
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