elk log aggregation

=falserecv_chunk=65536reduced_redundancy=falserequester_pays= falserestore_days=1restore_priority=standardsecret_key= 0UONIJRN9QQHANXXXXXXCZXXXXXXXXXXXXNBSP;NBSP;AWSNBSP;S3 's secret_key must be send_chunk= 65536server_side_encryption=falsesignature_v2=falsesignurl_use_https= falsesimpledb_host=sdb.amazonaws.comskip_existing=falsesocket_timeout= 300stats=falsestop_on_error=falsestorage_class=urlencoding_mode= Normaluse_http_expect=falseuse_https=falseuse_mime_magic=trueverbosity =warningwebsite_

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.coElasticsearch is an open source distributed search engine, it features: distributed, 0 configuration, automatic discovery, Index auto-shard, index copy

Filebeat is a lightweight, open source shipper for log file data. As the next-generation Logstash forwarder, filebeat tails logs and quickly sends this information to Logstash fo R further parsing and enrichment or to Elasticsearch for centralized storage and analysis. Filebeat than Logstash seems better, is the next generation of log collectors, ELK (Elastic +lo

Today is open source real-time log analysis ELK, ELK by ElasticSearch, Logstash and Kiabana three open source tools. Official website: https://www.elastic.co3 of these software are:Elasticsearch is an open source distributed search engine, it features: distributed, 0 configuration, automatic discovery, Index auto-shard, index copy mechanism, RESTful style interfa

method actual Combat Elk Log Management schemeDocker NetworkFamiliar with Docker-supported network patterns familiar with the features of various modelsDocker communication across hostsOverlay's explanation of the actual combat Docker overlay network for cross-host communicationDocker ComposeDocker-compose explains the actual combat docker-compose, deploys applications and upgrades applicationsDocker conta

Write in front: In doing Elk logstash processing MySQL slow query log when the problem: 1, the test database does not have slow log, so there is no log information, resulting in ip:9200/_plugin/head/interface anomalies (suddenly appear log data, deleted the index disappeared

Logstash Installation Download path: Https://www.elastic.co/downloads/logstash (Installation method reference official website installation steps)To read the Nginx log, configure the Nginx log formatVim nginx.confModify the Nginx record log format, from the HTTP module Log_format main ' $remote _addr | $time _local | $request | $uri | " $s

ELK Log Analysis SystemELK refers to the combination of Elasticsearch, Logstash, and Kibana three open source software.Logstash responsible for the collection, processing and storage of logsElasticsearch responsible for log retrieval and analysisKibana responsible for the visualization of logsFirst, the environment1. CentOS Linux release 7.1.1503 (Core)Server-172

Elk is a elasticsearch+logstash+kibana combination, is an open-source distributed search platform, the purpose of building this platform is to facilitate the query log. Elasticsearch an open-source search engine framework, Logstash integrates a variety of collection log plug-ins, or a good regular cutting log tool;Kiba

Believe that many companies have used elk as a log analysis tool for operations, simple, convenient, beautiful, but very few people to share their own analysis results, the following for me according to the specific circumstances of the company to do Dashboard, if there are any suggestions or comments welcome under the blog comments, The following analysis is only done for the load balancer.1. Overview of V

. internal.173'Data_type => 'LIST'Port => "6379"Key => 'nginx'# Type => 'redis-input'# Codec => JSON}}Filter {Grok {Type => "Linux-syslog"Pattern => "% {syslogline }"}Grok {Type => "nginx-access"Pattern => "% {iporhost: source_ip}-% {Username: remote_user} \ [% {httpdate: Timestamp} \] % {iporhost: Host} % {QS: request }%{ INT: Status }%{ INT: body_bytes_sent }%{ QS: http_refereR }%{ QS: http_user_agent }"}}Output {# Stdout {codec => rubydebug}Elasticsearch {# Host => "es1.internal. 173, es2.int

extend the key,value of the A=bc=d in the request, and use the non-schema feature of ES to ensure that if you add a parameter, it can take effect immediately. UrlDecode is to ensure that the parameters have Chinese words to UrlDecode Date is the time of day for the document to be saved in ES, otherwise the time to insert ES Well, now that the structure is complete, you can access the log of this access at the Kibana console once

/nginx/html;index index.htmlindex.htmindex.php;}error_page 404/404.html; location=/404.html{ root/usr/share/nginx/html;}error_page 500502503504/50x.html;location=/50x.html{ root/usr/share/nginx/html;} location~\.php${root /usr/share/nginx/html; fastcgi_pass127.0.0.1:9000; fastcgi_indexindex.php;fastcgi_param SCRIPT_FILENAME $document _root$fastcgi_script_name; fastcgi_buffer_size32k; fastcgi_buffers 832k;includefastcgi_ params;}}Configuration Kibana:grep ' Elasticsearch: '/usr/share/nginx/html/k

, and the message part of the Grok is the corresponding Grok syntax, which is not exactly equivalent to the syntax of the present expression, in which the variable information is added. The specific Grok syntax is not overly described and can be understood through the Logstash official documentation. However, the variable type in the Grok syntax, such as Iporhost, does not find a specific document, only through Grep-nr "Iporhost" under the Logstash installation directory. To search for specific