How to configure highly available network monitoring and traffic analysis on Linux

How to configure high-availability network monitoring and traffic analysis on Linux

Introduction:
In today's digital era, network monitoring and traffic analysis play a vital role in ensuring network security and performance optimization effect. In order to effectively monitor network traffic and respond to problems in a timely manner, it is essential to build a highly available network monitoring and traffic analysis system. This article will introduce how to configure a highly available network monitoring and traffic analysis system on Linux, and provide some code examples to help readers better complete this task.

Step One: Install and Configure Elasticsearch
Elasticsearch is a distributed open source search and analysis engine that can be used to store and analyze large-scale data sets. When building a network monitoring and traffic analysis system, we first need to install and configure Elasticsearch.

1. Download and install Elasticsearch:

wget https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-7.10.2-linux-x86_64.tar.gz
tar -zxvf elasticsearch-7.10.2-linux-x86_64.tar.gz
cd elasticsearch-7.10.2/
./bin/elasticsearch

2. Configure Elasticsearch:

Modify the Elasticsearch configuration fileelasticsearch.yml , set the cluster name and listening address:

cluster.name: my-cluster
network.host: 0.0.0.0

3. Start Elasticsearch:

./bin/elasticsearch

Step 2: Install and configure Logstash
Logstash is an open source Server-side data processing pipelines that collect, transform, and send data from disparate sources to destinations. In network monitoring and traffic analysis systems, Logstash is used to collect and convert network traffic data into a format that can be analyzed by Elasticsearch.

1. Download and install Logstash:

wget https://artifacts.elastic.co/downloads/logstash/logstash-7.10.2.tar.gz
tar -zxvf logstash-7.10.2.tar.gz
cd logstash-7.10.2/

2. Create Logstash configuration file logstash.conf:

input {
  tcp {
    port => 5000
  }
}

output {
  elasticsearch {
    hosts => ["localhost:9200"]
    index => "network-traffic-%{+YYYY.MM.dd}"
  }
}

3. Start Logstash:

./bin/logstash -f logstash.conf

Step 3: Install and configure Kibana
Kibana is an open source data visualization platform based on Elasticsearch, which can be used to query, visualize and analyze data from Elasticsearch data obtained from. In the network monitoring and traffic analysis system, Kibana will serve as the user interface, providing rich charts and dashboards to display network traffic and performance information.

1. Download and install Kibana:

wget https://artifacts.elastic.co/downloads/kibana/kibana-7.10.2-linux-x86_64.tar.gz
tar -zxvf kibana-7.10.2-linux-x86_64.tar.gz
cd kibana-7.10.2/

2. Configure Kibana:

Modify Kibana’s configuration filekibana.yml , set the address and key of Elasticsearch:

elasticsearch.hosts: ["http://localhost:9200"]

3. Start Kibana:

./bin/kibana

Step 4: Configure the network traffic collector
In order to be able to collect Network traffic data is sent to Logstash for processing. We need to configure a network traffic collector.

Taking tcpdump as an example, first install tcpdump:

sudo apt-get install tcpdump

Next, use the following command to import network traffic to Logstash:

sudo tcpdump -i eth0 -nn -tttt -s 0 -U -w - | nc localhost 5000

In the above command, where ## The #-i parameter specifies the network interface to be monitored, and the -w parameter writes the traffic data to the standard output and then pipes it to nc to send to Logstash.

Summary:

Through the above steps, we successfully built a highly available Linux network monitoring and traffic analysis system. Elasticsearch is used to store and analyze large-scale data sets, Logstash is used to collect and transform network traffic data, and Kibana provides a friendly user interface to display data. By configuring the network traffic collector, we can monitor and analyze network performance in real time, so as to detect problems in time and take corresponding measures.

This article provides some sample code to help readers better understand and practice these configuration steps. Readers can modify and expand it according to the actual situation to meet their own network monitoring and traffic analysis needs.

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