Operations 8 min read

Step-by-Step Guide to Build an ELK Stack with Nginx on CentOS

This tutorial walks through installing JDK, configuring ElasticSearch, Logstash, Kibana, and Nginx on a CentOS 6.7 server, setting up JSON logging, creating pipelines, and troubleshooting time‑zone issues so you can visualize logs in Kibana.

MaGe Linux Operations
MaGe Linux Operations
MaGe Linux Operations
Step-by-Step Guide to Build an ELK Stack with Nginx on CentOS

Environment: CentOS 6.7, IP 192.168.88.250, ElasticSearch 2.1.0, Logstash 2.1.1, Kibana 4.3.1, JDK 1.8.0_77.

Install JDK to /usr/local/java and set JAVA_HOME and PATH in /etc/profile, then source it and verify with java -version.

Install ElasticSearch:

wget https://download.elasticsearch.org/elasticsearch/distribution/tar/elasticsearch/release/org/elasticsearch/distribution/tar/elasticsearch/2.1.0/elasticsearch-2.1.0.tar.gz
tar xf elasticsearch-2.1.0.tar.gz
cd /usr/local/elasticsearch-2.1.0/
./plugin -install mobz/elasticsearch-head
./elasticsearch -Des.insecure.allow.root=true
curl -X GET 192.168.88.250:9200

Install Nginx, configure /usr/local/nginx/conf/nginx.conf with a JSON log format and proxy settings for Kibana, and set up a server block for kibana_server:

# example snippet of nginx.conf (relevant parts)
worker_processes 1;
events { worker_connections 1024; }
http {
    log_format json '{"@timestamp":"$time_iso8601","host":"$server_addr","clientip":"$remote_addr","size":$body_bytes_sent,"responsetime":$request_time,"upstreamtime":"$upstream_response_time","upstreamhost":"$upstream_addr","http_host":"$host","url":"$uri","xff":"$http_x_forwarded_for","referer":"$http_referer","agent":"$http_user_agent","status":"$status"}';
    access_log /var/log/nginx/access.log_json json;
    server {
        listen 80;
        server_name kibana_server;
        location / {
            root /var/www/kibana;
            index index.html index.htm;
        }
        location ~ ^/kibana4/.* {
            proxy_pass http://kibana4;
            rewrite ^/kibana4/(.*) /$1 break;
            proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
            proxy_set_header Host $host;
            auth_basic "Restricted";
            auth_basic_user_file /etc/nginx/conf.d/kibana.myhost.org.htpasswd;
        }
    }
}

Install Logstash, create stdin.conf to read Nginx JSON logs, split and convert upstreamtime, and output to ElasticSearch:

wget https://download.elastic.co/logstash/logstash/logstash-2.1.1.tar.gz
tar xf logstash-2.1.1.tar.gz
cd /usr/local/logstash-2.1.1/bin
vim stdin.conf   # configure input, filter, output
# input { file { path => "/var/log/nginx/access.log_json" codec => "json" } }
# filter { mutate { split => ["upstreamtime",","] } mutate { convert => ["upstreamtime","float"] } }
# output { elasticsearch { hosts => ["192.168.88.250:9200"] index => "logstash-%{type}-%{+YYYY.MM.dd}" document_type => "%{type}" } }
./logstash -f stdin.conf &

Install Kibana, edit config/kibana.yml to point to the ElasticSearch URL, and start Kibana (listening on port 5601):

wget https://download.elastic.co/kibana/kibana/kibana-4.3.1-linux-x64.tar.gz
tar xf kibana-4.3.1-linux-x64.tar.gz
cd /usr/local/kibana-4.3.1-linux-x64/
vim config/kibana.yml   # set elasticsearch.url to http://192.168.88.250:9200
./kibana &

After all components are running, access Kibana at http://192.168.88.250:5601, use Discover to view logs, adjust the time zone (add 8 hours) if data does not appear, and customize visualizations as needed.

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loggingELKLogstashKibanaCentOS
MaGe Linux Operations
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MaGe Linux Operations

Founded in 2009, MaGe Education is a top Chinese high‑end IT training brand. Its graduates earn 12K+ RMB salaries, and the school has trained tens of thousands of students. It offers high‑pay courses in Linux cloud operations, Python full‑stack, automation, data analysis, AI, and Go high‑concurrency architecture. Thanks to quality courses and a solid reputation, it has talent partnerships with numerous internet firms.

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