Elasticsearch+Logstash+Kibana log collection service is built and simply integrated

ELK introduction ELK is the abbreviation of Elasticsearch+Logstash+Kibana Elasticsearch is a distributed search and analysis engine, which can be used for full-text retrieval, structured retrieval and analysis, and can combine the three. Elasticsearch is based on Lucene and is now one of the most widely used open source search engines. Logst ...

Posted by astricks on Tue, 08 Mar 2022 01:41:20 +0100

ELK log analysis

ELK log analysis 1, ELK introduction ELK platform is a complete set of centralized log processing solution, which combines ElasticSearch, Logstash and Kiabana, three open-source tools to meet the more powerful user requirements for log query, sorting and statistics. Elastic search: it is a distributed storage and retrieval engine based on L ...

Posted by ale8oneboy on Tue, 01 Mar 2022 14:10:57 +0100

You have to learn the complete ELK construction tutorial

1, ELK introduction 1. What is ELK? "ELK" is an acronym for three open source projects: Elasticsearch, Logstash and Kibana. Elasticsearch is a search and analysis engineLogstash is a server-side data processing pipeline, which can collect data from multiple sources at the same time, convert data, and then send data to "reposit ...

Posted by mlewczuk on Fri, 18 Feb 2022 22:51:44 +0100

Install elasticsearch, kibana and elasticsearch related plug-ins in docker (ik word splitter; elasticsearch head plug-in monitoring management)

I Easy search installation 1. Download easy search docker pull elasticsearch:7.6.2 2. External folder mounting configuration and granting folder permissions mkdir -p /mydata/elasticsearch/config mkdir -p /mydata/elasticsearch/data echo "http.host: 0.0.0.0" >/mydata/elasticsearch/config/elasticsearch.yml chmod -R 777 /mydata/elasticsearc ...

Posted by Panjabel on Fri, 18 Feb 2022 01:24:27 +0100

ELK deployment - docker mode

1, elasticsearch deployment 1. Pull image docker pull elasticsearch:7.12.1 2. Create host file path mkdir -p /data/elasticsearch/config mkdir -p /data/elasticsearch/data mkdir -p /data/elasticsearch/logs mkdir -p /data/elasticsearch/plugins # Give permission (sometimes an error will be reported when the permission is insufficient) chmod 77 ...

Posted by roseplant on Wed, 09 Feb 2022 12:30:06 +0100

ELK log analysis system

1, Preface overview and basic theory 1.1 ELK system introduction ELK log analysis system is composed of Elasticsearch, Logstash and Kibana Elasticsearch: open source distributed search engine. Features: distributed, zero configuration, automatic discovery, automatic index fragmentation, index copy mechanism, restful style interface, m ...

Posted by ahmedkl on Tue, 08 Feb 2022 21:10:12 +0100

Basic query operation of elasticsearch

Basic operation of es 1. Create es_db index, and set the default word segmentation method of the index to ik_max_word PUT /es_db { "settings": { "index": { "analysis.analyzer.default.type": "ik_max_word" } } } 2. Basic operations for index GET /es_db DELETE /es_db 3. Add document PUT /es_db/_doc/1 { "name": "Zh ...

Posted by sciencebear on Sun, 06 Feb 2022 22:29:28 +0100

ELK enterprise log analysis system

1, ELK 1. ELK introduction ELK platform is a complete set of centralized log processing solution, which combines ElasticSearch, Logstash and Kiabana to meet more powerful user requirements for log query, sorting and statistics. Elastic search: it is a distributed storage search engine based on Lucene (a full-text search engine ar ...

Posted by ahmed17 on Thu, 20 Jan 2022 00:12:21 +0100

Simple construction of ELK architecture

1, Configure node node 1. Change the names of several servers (easy to identify) Server 1: hostnamectl set hostname node1 Server 2: hostnamectl set hostname node2 Server 3: hostnamectl set hostname Apache After completion, refresh again to see if it is successful vim /etc/hosts #Enter the configuration file, add the host name and I ...

Posted by esas_nefret on Wed, 05 Jan 2022 12:52:01 +0100

Distributed log collection solution ELK

origin At present, most companies are distributed services. For the analysis of production logs, a log collection system needs to be built to facilitate development, operation and maintenance to analyze and monitor production problems. This blog uses filebeat + Kafka + logstash + elastic search + kibana to build a distributed log collectio ...

Posted by jackinva on Sun, 02 Jan 2022 21:52:47 +0100