logstash docker

Tags: logstash mysql slowlog kibanaThis article will introduce the slow query log used by Logstash to collect MySQL , then push it to elasticsearchand create a custom index that will eventually be Kibana Web Showcase.Environment Introduction:Operating system version:centos6.6 64bitMySQL version: mysql5.6.17 and mysql5.1.36Logstash version : logstash-2.0.0.tar.gzE

Official website https://www.elastic.coSoftware version: Logstash 2.2.0 all Pluginselasticsearch 2.2.0Kibana 4.4.0Note: This environment becomes Centos6.5 64 bits, the single machine does the test, the specific configuration is simple.1.Logstash installation ConfigurationUnzip to/usr/local/logstash-2.2.0/Logstash confi

Some logs, such as Apache, do not support JSON with Grok plugins like NginxGrok using regular expressions for row-matching splitsThe predefined locations are defined in the/opt/logstash/vendor/bundle/jruby/1.9/gems/logstash-patterns-core-2.0.5/patternsApache in File Grok-patternsView official documentsHttps://www.elastic.co/guide/en/logstash/current/plugins-filte

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 an external configuration file. It records lo

Elk Log Analysis SystemLogstash+elasticsearch+kibana4 Logstash tools for managing logs and events ElasticSearch Search KIBANA4 Powerful data Display client Redis Cache Install package logstash-1.4.2-1_2c0f5a1.noarch.rpm elasticsearch-1.4.4.noarch.rpm logstash-contrib-1.4.2-1_efd53ef.noarch.rpm Kibana-4.0.1-linux-x64.

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[ttlsa] @ [10.4.10.12] id:69641319# query_time:

Index fields are indexed using automatic detection in ES, such as IP, date auto-detection (default on), Auto-detect (default off) for dynamic mapping to automatically index documents, and when specific types of fields need to be specified, mapping can be used to define mappings in index generation. The settings for the default index in Logstash are template-based, Logstash for indexer roles. First we need t

Background: At present, there is a database data about 300 million in the business. If the query directly from the database, wait more than 15 minutes, the user often want to view the data, can only write SQL in the database directly query after drinking a few cups of tea, the results have not come out. The user sees the use of the ES cluster in our project and wants to synchronize the data in the database to the ES cluster.Software version: logstash-

Docker installation and sharing of common commands and sharing of common docker commands Basic commands 1. To install docker in yum, the root permission is required. Yum install docker 2. Start docker Systemctl start docker. servi

Logstash installation configuration, System: CentOS7.2 Address: https://www.elastic.co/guide/en/logstash/current/installing-logstash.html#installing-logstash 1. Create logstash. repo under/etc/yum. repos. d/and configure the YUM source address as follows: [Logstash-6.x]

Nodejs NPM install installation environment Logstash log analysis and graphical display Small search engines and graphical display Ruby-developed tools are encapsulated into jar packages in the Java environment. Logstash Analysis Read logs from the back to the front in real time Elastic search Storage Kibana web page Java-jar logstash-1.3.2-fla

Flume compared with Logstash, the personal experience is as follows: Logstash more emphasis on the preprocessing of the field, while flume emphasis on data transmission; Logstash has dozens of plug-ins, flexible configuration, Flume is to emphasize the user's custom development (source and sink kind also has ten or twenty, the channel is relatively s

When we use Logstash to collect logs, we usually use the dynamic Index template that comes with logstash, although we can push our log data to the Elasticsearch index cluster without any custom action, but when we query, we find that The default index template often puts us in a field that does not need a word breaker, so that our more important aggregated statistics are inaccurate:For example, if there are

Logstash 5.0 starts with an API that outputs the metrics and status monitoring of its own processes. Official documents:Https://www.elastic.co/guide/en/logstash/current/monitoring-logstash.html#monitoring Node Info APIHttps://www.elastic.co/guide/en/logstash/current/node-info-api.htmlPipeline Gets pipeline-specific information and settings.OS Gets Node-level info

1. List Logstash-pluginsBin/logstash-plugin List******Logstash-output-kafkaLogstash-output-nagiosLogstash-output-nullLogstash-output-pagerdutyLogstash-output-pipeLogstash-output-rabbitmqLogstash-output-redis******2. Plugin to install MongoDB output in the output formatInstall Logstash-output-mongodb3. Configure the out

-flume-1.5.2-bin/tracklog-kafka/checkpointAgent.channels.m1.datadirs=/opt/modules/apache-flume-1.5.2-bin/tracklog-kafka/datadirAgent.channels.m1.transactionCapacity = 1000000agent.channels.m1.capacity=1000000Agent.channels.m1.checkpointInterval = 30000 Second, the data into the KafkaThe above collect topic need to be Kafka in advance, the other steps into the Kafka has been configured in the Collect.To create a topic statement reference: %{kafka_home}/bin/kafka-topics.sh-

Data acquisition of Kafka and Logstash Based on Logstash run-through Kafka still need to pay attention to a lot of things, the most important thing is to understand the principle of Kafka. Logstash Working principleSince Kafka uses decoupled design ideas, it is not the original publication subscription, the producer is responsible for generating the

The Nginx Access log we collected through Logstash already contains the data for the client IP (REMOTE_ADDR), but only this IP is not enough, the location of the Kibana to display the requested source needs to be implemented by GEOIP database. GeoIP is the most common free IP address classification query library, but also has a pay version can be purchased. GeoIP Library can provide the corresponding geographical information according to the IP addres

input URL 192.168.135.129:5601 can not access, shut down the firewall is not, need to set up/etc/kibana/kibana.yml. Let's release some configuration and modify some configurations as followsThen landing outside the network, more refresh several times, the main network of Bo slow, enter the URL http://192.168.135.129:5601Ok!Final installation LogstashCreating a configuration fileThe content format has the following main input, filter and output three parts:1 Input {2 3 stdin {}4 }5 6 Filter {7 8

Logstash cannot read redis data A problem occurred when constructing logsatsh + redis + elasticsearch today. After nearly one hour of troubleshooting, the problem was finally solved. Record it. The environment is like this. A client sends data to redis on the server, and logstash on the server reads redis data and stores it in elasticsearch. The initial problem is that on the server side, the log sent from