Elasticsearch,kibana,logstash,nlog Implementing ASP. NET Core Distributed log SystemElasticsearch official websiteElasticsearch DocumentationNLog.Targets.ElasticSearch PackageElasticsearch-IntroductionElasticsearch, as a core part, is a document repository with powerful indexing capabilities and can be used to search for data through the REST API.It is written in Java, based on Apache Lucene, although these details are hidden in the API.By indexed fie
submitted to logstash indexer and avoid data loss caused by sudden power outages.
Elasticsearch: an open-source search engine framework that provides a distributed full-text search engine with multi-user capabilities, based on restful web interfaces. You can also perform multiple data clusters to improve efficiency. The purpose here is to read data from redis and forward it to kibana.
Kibana: displays the
Building real-time log collection system with Elasticsearch,logstash,kibanaIntroduction
This set of systems, Logstash is responsible for collecting processing log file contents stored in the Elasticsearch search engine database. Kibana is responsible for querying the elasticsearch and presenting it on the web.
After the Logstash collection process harvests the log file contents, it outputs to the Redis cache, and the other Logstash proces
a mess, and feel nothing to add anything, finally suddenly refreshed, OK, first use, back to tidy upThen check the run status on the test userThen in the test user up to stop the service testing outside the network connection, there is a burst of red, but all normalThen stop the test user's service, cut back to root to open the service, again try the external network connection, after several refreshes, is OK, indicating that this version does not need to start the service through the user can
source, distributed, restful search engine built on Lucene. Designed for cloud computing, it can achieve real-time search, stable, reliable, fast, easy to install and use.Elasticsearch 1.4.2:http://www.elasticsearch.org/download/2 , Logstash: is a fully open source tool that collects, analyzes, and stores your logs for later use (e.g., search), which you can use. When it comes to search, Logstash comes with a web interface that searches and displays
simple
Curl-l http://toolbelt.treasure-data.com/sh/install-redhat.sh | Sh
After the installation is complete, edit the configuration file
# vim/etc/td-agent/td-agent.conf
Start the FLUENTD service
# service Td-agent Start
III. installation and Deployment Kibana 3
Kibana 3 is a Web UI front-end tool developed using HTML and JavaScript.
Download wget http:/
5 1 1530 0 2.7mb 1.3mb green open .kibana YN93vVWQTESA-cZycYHI6g 1 1 2 0 22.9kb 11.4kb green open logstash-2017.12.29.05 kPQAlVkGQL-izw8tt2FRaQ 5 1 1289 0 2mb 1mb
Used with the elasticsearch cluster head plug-in !! Observe log generation !!
4. Install and deploy
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
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
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
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
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 abo
directory, create a test file logstash-es-simple.conf for testing Logstash using Elasticsearch as the back end of Logstash, which defines stdout and Elasticsearch as For output, such "multiple output" is to ensure that the output is displayed on the screen, but also output to the Elastisearch, which reads as follows:
1 2 3 4 5 6 7 8 9
# cat logstash-es-simple.conf Input {stdin {}} output {elasticsearch {hosts => ' localhost '} stdout { Codec=> Rubydebug} # Hosts for Elasticsearc
Kibana is an open source analytics and visualization platform designed to work with Elasticsearch.
You use Kibana to search, view, and interact with the data stored in the Elasticsearch index.
You can easily perform advanced data analysis and visualize data in a variety of icons, tables, and maps.
Kibana makes it easy to understand large amounts of data. Its simp
For details about how to import logs to elasticsearch clusters Through flume, see flume log import to elasticsearch clusters.Kibana Introduction
Kibana Homepage
Kibana is a powerful elasticsearch data display client. logstash has built-in kibana. You can also deploy kibana separately. The latest version of kibana3 is
=" Head.png "alt=" Wkiom1esmxwaogtzaajhix4lznm047.png "/>Marvel Plugin : The first step on es: bin/plugin install license, bin/plugin install elasticsearch/marvel/latest (all es are installed) /c4>The second section is in the bin directory of the Kibana: Kibana plugin--install
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