kibana 4

Original address: http://www.cnblogs.com/saintaxl/p/3946667.htmlIn short, his specific workflow is to Logstash agent to monitor and filter the log, the filtered log content to Redis (here Redis only processing queues do not store), Logstash Index collects the logs together to the full-text search service Elasticsearch can use Elasticsearch to customize the search by Kibana to combine custom search for page presentation Ruby Run

Elasticsearch + Logstash + Kibana install X-Pack in the software package,Elasticsearch + Logstash + Kibana install X-Pack X-Pack is an extension of an Elastic Stack that includes security, alarms, monitoring, reporting, graphics, and machine learning functions in an easy-to-install software package.1. install X-Pack in elasticsearch Follow these steps to install x-pack in elasticsearch:1. 1. Download x-pack

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 configuration file:Vim/usr/local/logstash-2.2.0/etc/agent.confInput {file {path = '/usr/local/nginx/logs/access.log ' start_position = beginning}} output {elasticsearch {} stdout {}}Log

, sorting and statistics and the large number of machines still use such a method is a little too hard. Open source real-time log analysis Elk platform can perfectly solve our problems above, elk by Elasticsearch, Logstash and Kiabana three open source tools. Official website: https://www.elastic.co/products Elasticsearch is an open source distributed search engine, it features: distributed, 0 configuration, automatic discovery, Index auto-shard, index copy mechanism, RESTful style interface, mu

Objective process, NIGNX format log into JSON, Logstash directly to Elasticsearch, and then through the Kibana GUI interface display analysis Important NIGNX Log into JSON format, avoid nignx default log is a space, need a regular match, resulting in logstash too much CPUThe Elasticsearch machine configures the firewall, allowing only the specified Logstash machine accessKibana only listens for local 127.0.0.1 use NIGNX direction Agent, Nginx Config

Recently in the log analysis of this piece, to use Logstash+elasticsearch+kibana to implement log import, filtering and visual management, official documentation is not detailed enough, the online articles are mostly either for the use of Linux systems, or the copying of other people's configuration is mostly impossible to run. It took a lot of effort to get rid of these three things, write a usage experience, nonsense not much to say, into the subjec

First heard elk, is Sina's @argv introduction internal use elk situation and scene, at that time touched very big, originally have so convenient way to collect log and show, have such tool, you do bad thing, delete log, it has no effect.A lot of companies say they are concerned about security, but they have not seen and watched the logs of their servers, which is a bit ironic. Manage the logs first, and then we'll discuss security in depth.Mirantis's fuel, has introduced elk as a monitoring tool

1. Workflow of Log Platform650) this.width=650; "src=" http://s3.51cto.com/wyfs02/M01/71/5F/wKioL1XNWHGwPB_ZAAErAE7qZjQ757.jpg "title=" 1.png " alt= "Wkiol1xnwhgwpb_zaaerae7qzjq757.jpg"/> shipper means log collection, using Logstash to collect log data from various sources, such as system logs, files, Redis, MQ, and so on; broker as a buffer between the remote agent and the central agent, using Redis implementation, one can improve the performance of the system, the secon

1. Download unzip2. Open the config/kibana.yml configuration file, modify the URL of the Elasticsearch,3. Start Kibana650) this.width=650; "src="/e/u261/themes/default/images/spacer.gif "style=" Background:url ("/e/u261/lang/zh-cn/ Images/localimage.png ") no-repeat center;border:1px solid #ddd;" alt= "Spacer.gif"/>650) this.width=650; "src=" Http://s2.51cto.com/wyfs02/M02/84/63/wKioL1ePKZqxZj1KAAB5fg71SG8075.png "title=" Startkibana.png "alt=" Wkiol1epkzqxzj1kaab5fg71sg8075.png "/>

Overview Log System Elk use details (i)-How to useLog System Elk use details (ii) –logstash installation and useElk Use of log system (iii) –elasticsearch installationLog System Elk use details (iv) –kibana installation and useElk Use of log system (v)-supplement This is the last of the small series, and we'll see how to install Kibana and make a quick query about the log information in elk.

Fluentd is an open source collection event and log system that currently offers 150 + extensions that let you store big data for log searches, data analysis and storage. Official address http://fluentd.org/plugin address http://fluentd.org/plugin/ Kibana is a Web UI tool that provides log analysis for ElasticSearch, and it can be used to efficiently search, visualize, analyze, and perform various operations on logs. Official Address http://www.elastic

ObjectiveSerilog, support objects, the log data serialized into JSON, easy to use, easily expand. Github:https://github.com/handsomeyao77/serilog-sinks-elasticsearchReading the configuration fileThe configuration file is divided into app. Config and Appsetting.json two types.Read Appsettings.json, primarily web app types, first inject the JSON file when the service starts:Read configuration:To configure App. Config, the highlighted part is the necessary key:Read configuration:Of course, sometime

Elasticsearch and Kibanna's link address: https://www.elastic.co/downloads, The packages I use in my environment are kibana-4.1.1-linux-x64.tar.gz and elasticsearch-1.7.1.zip.Installing ElasticsearchIt is assumed that the Java environment has been configured before, so it can be installed directly.[Email protected] ~]# Unzip Elasticsearch-1.7.1.zip[Email protected] ~]# MV Elasticsearch-1.7.1/usr/local/elasticsearchInstalling