IMPORTANT: No additional bug fixes or documentation updates will be released for this version. For the latest information, see the current release documentation.

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Packetbeat quick start: installation and configuration

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Packetbeat quick start: installation and configuration

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The best way to understand the value of a network packet analytics system like Packetbeat is to try it on your own traffic.

This guide describes how to get started quickly with network packets analytics. You’ll learn how to:

install Packetbeat on each system you want to monitor
specify the network devices and protocols to sniff
parse the packet data into fields and send it to Elasticsearch
visualize the packet data in Kibana

Before you begin

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You need Elasticsearch for storing and searching your data, and Kibana for visualizing and managing it.

To get started quickly, spin up a deployment of our hosted Elasticsearch Service. The Elasticsearch Service is available on AWS, GCP, and Azure. Try it out for free.
On most platforms, Packetbeat requires the libpcap packet capture library. Depending on your OS, you might need to install it:
```
sudo apt-get install libpcap0.8
```
```
sudo yum install libpcap
```
You probably do not need to install libpcap.

You probably do not need to install libpcap.

Download and install a packet sniffing library, such as Npcap, that implements the libpcap interfaces.

If you use Npcap, make sure you install it in WinPcap API-compatible mode. If you plan to capture traffic from the loopback device (127.0.0.1 traffic), also select the option to support loopback traffic.

Step 1: Install Packetbeat

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You can install Packetbeat on dedicated servers, getting the traffic from mirror ports or tap devices, or you can install it on your existing application servers.

To download and install Packetbeat, use the commands that work with your system:

curl -L -O https://artifacts.elastic.co/downloads/beats/packetbeat/packetbeat-8.0.1-amd64.deb
sudo dpkg -i packetbeat-8.0.1-amd64.deb

curl -L -O https://artifacts.elastic.co/downloads/beats/packetbeat/packetbeat-8.0.1-x86_64.rpm
sudo rpm -vi packetbeat-8.0.1-x86_64.rpm

curl -L -O https://artifacts.elastic.co/downloads/beats/packetbeat/packetbeat-8.0.1-darwin-x86_64.tar.gz
tar xzvf packetbeat-8.0.1-darwin-x86_64.tar.gz

curl -L -O https://artifacts.elastic.co/downloads/beats/packetbeat/packetbeat-8.0.1-linux-x86_64.tar.gz
tar xzvf packetbeat-8.0.1-linux-x86_64.tar.gz

Download the Packetbeat Windows zip file from the downloads page.
Extract the contents of the zip file into C:\Program Files.
Rename the packetbeat-<version>-windows directory to Packetbeat.
Open a PowerShell prompt as an Administrator (right-click the PowerShell icon and select Run As Administrator).

From the PowerShell prompt, run the following commands to install Packetbeat as a Windows service:

PS > cd 'C:\Program Files\Packetbeat'
PS C:\Program Files\Packetbeat> .\install-service-packetbeat.ps1

If script execution is disabled on your system, you need to set the execution policy for the current session to allow the script to run. For example: PowerShell.exe -ExecutionPolicy UnRestricted -File .\install-service-packetbeat.ps1.

Other installation options

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Step 2: Connect to the Elastic Stack

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Connections to Elasticsearch and Kibana are required to set up Packetbeat.

Set the connection information in packetbeat.yml. To locate this configuration file, see Directory layout.

Specify the cloud.id of your Elasticsearch Service, and set cloud.auth to a user who is authorized to set up Packetbeat. For example:

cloud.id: "staging:dXMtZWFzdC0xLmF3cy5mb3VuZC5pbyRjZWM2ZjI2MWE3NGJmMjRjZTMzYmI4ODExYjg0Mjk0ZiRjNmMyY2E2ZDA0MjI0OWFmMGNjN2Q3YTllOTYyNTc0Mw=="
cloud.auth: "packetbeat_setup:YOUR_PASSWORD"

This examples shows a hard-coded password, but you should store sensitive values in the secrets keystore.

Set the host and port where Packetbeat can find the Elasticsearch installation, and set the username and password of a user who is authorized to set up Packetbeat. For example:

output.elasticsearch:
  hosts: ["https://myEShost:9200"]
  username: "packetbeat_internal"
  password: "YOUR_PASSWORD" 
  ssl:
    enabled: true
    ca_trusted_fingerprint: "b9a10bbe64ee9826abeda6546fc988c8bf798b41957c33d05db736716513dc9c"

This example shows a hard-coded password, but you should store sensitive values in the secrets keystore.

This example shows a hard-coded fingerprint, but you should store sensitive values in the secrets keystore. The fingerprint is a HEX encoded SHA-256 of a CA certificate, when you start Elasticsearch for the first time, security features such as network encryption (TLS) for Elasticsearch are enabled by default. If you are using the self-signed certificate generated by Elasticsearch when it is started for the first time, you will need to add its fingerprint here. The fingerprint is printed on Elasticsearch start up logs, or you can refer to connect clients to Elasticsearch documentation for other options on retrieving it. If you are providing your own SSL certificate to Elasticsearch refer to Packetbeat documentation on how to setup SSL.

If you plan to use our pre-built Kibana dashboards, configure the Kibana endpoint. Skip this step if Kibana is running on the same host as Elasticsearch.

  setup.kibana:
    host: "mykibanahost:5601" 
    username: "my_kibana_user"  
    password: "{pwd}"

	The hostname and port of the machine where Kibana is running, for example, `mykibanahost:5601`. If you specify a path after the port number, include the scheme and port: `http://mykibanahost:5601/path`.
	The `username` and `password` settings for Kibana are optional. If you don’t specify credentials for Kibana, Packetbeat uses the `username` and `password` specified for the Elasticsearch output.
	To use the pre-built Kibana dashboards, this user must be authorized to view dashboards or have the `kibana_admin` built-in role.

To learn more about required roles and privileges, see Grant users access to secured resources.

You can send data to other outputs, such as Logstash, but that requires additional configuration and setup.

Step 3: Configure sniffing

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In packetbeat.yml, configure the network devices and protocols to capture traffic from.

Set the sniffer type. By default, Packetbeat uses pcap, which uses the libpcap library and works on most platforms.

On Linux, set the sniffer type to af_packet to use memory-mapped sniffing. This option is faster than libpcap and doesn’t require a kernel module, but it’s Linux-specific:
```
packetbeat.interfaces.type: af_packet
```
Specify the network device to capture traffic from. For example:
```
packetbeat.interfaces.device: eth0
```
On Linux, specify packetbeat.interfaces.device: any to capture all messages sent or received by the server where Packetbeat is installed. The any setting does not work on macOS.

To see a list of available devices, run:
```
packetbeat devices
```
```
packetbeat devices
```
```
./packetbeat devices
```
```
./packetbeat devices
```
```
PS C:\Program Files\Packetbeat> .\packetbeat.exe devices

0: \Device\NPF_{113535AD-934A-452E-8D5F-3004797DE286} (Intel(R) PRO/1000 MT Desktop Adapter)
```
In this example, there’s only one network card, with the index 0, installed on the system. If there are multiple network cards, remember the index of the device you want to use for capturing the traffic.

Modify the device setting to point to the index of the device:
```
packetbeat.interfaces.device: 0
```
For more information about these settings, see Traffic sniffing.

In the protocols section, configure the ports where Packetbeat can find each protocol. If you use any non-standard ports, add them here. Otherwise, use the default values.

packetbeat.protocols:

- type: dhcpv4
  ports: [67, 68]

- type: dns
  ports: [53]

- type: http
  ports: [80, 8080, 8081, 5000, 8002]

- type: memcache
  ports: [11211]

- type: mysql
  ports: [3306,3307]

- type: pgsql
  ports: [5432]

- type: redis
  ports: [6379]

- type: thrift
  ports: [9090]

- type: mongodb
  ports: [27017]

- type: cassandra
  ports: [9042]

- type: tls
  ports: [443, 993, 995, 5223, 8443, 8883, 9243]

To test your configuration file, change to the directory where the Packetbeat binary is installed, and run Packetbeat in the foreground with the following options specified: sudo ./packetbeat test config -e. Make sure your config files are in the path expected by Packetbeat (see Directory layout), or use the -c flag to specify the path to the config file. Depending on your OS, you might run into file ownership issues when you run this test. See Config File Ownership and Permissions for more information.

For more information about configuring Packetbeat, also see:

Configure Packetbeat
Config file format
packetbeat.reference.yml: This reference configuration file shows all non-deprecated options. You’ll find it in the same location as packetbeat.yml.

Step 4: Set up assets

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Packetbeat comes with predefined assets for parsing, indexing, and visualizing your data. To load these assets:

Make sure the user specified in packetbeat.yml is authorized to set up Packetbeat.
From the installation directory, run:
```
packetbeat setup -e
```
```
packetbeat setup -e
```
```
./packetbeat setup -e
```
```
./packetbeat setup -e
```
```
PS > .\packetbeat.exe setup -e
```
-e is optional and sends output to standard error instead of the configured log output.

This step loads the recommended index template for writing to Elasticsearch and deploys the sample dashboards for visualizing the data in Kibana.

A connection to Elasticsearch (or Elasticsearch Service) is required to set up the initial environment. If you’re using a different output, such as Logstash, see Load the index template manually and Load Kibana dashboards.

Step 5: Start Packetbeat

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Before starting Packetbeat, modify the user credentials in packetbeat.yml and specify a user who is authorized to publish events.

To start Packetbeat, run:

sudo service packetbeat start

If you use an init.d script to start Packetbeat, you can’t specify command line flags (see Command reference). To specify flags, start Packetbeat in the foreground.

Also see Packetbeat and systemd.

sudo service packetbeat start

If you use an init.d script to start Packetbeat, you can’t specify command line flags (see Command reference). To specify flags, start Packetbeat in the foreground.

Also see Packetbeat and systemd.

sudo chown root packetbeat.yml 
sudo ./packetbeat -e

You’ll be running Packetbeat as root, so you need to change ownership of the configuration file, or run Packetbeat with --strict.perms=false specified. See Config File Ownership and Permissions.

sudo chown root packetbeat.yml 
sudo ./packetbeat -e

You’ll be running Packetbeat as root, so you need to change ownership of the configuration file, or run Packetbeat with --strict.perms=false specified. See Config File Ownership and Permissions.

PS C:\Program Files\packetbeat> Start-Service packetbeat

By default, Windows log files are stored in C:\ProgramData\packetbeat\Logs.

Packetbeat should begin streaming data to Elasticsearch.

Step 6: View your data in Kibana

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Packetbeat comes with pre-built Kibana dashboards and UIs for visualizing log data. You loaded the dashboards earlier when you ran the setup command.

To open the dashboards:

Launch Kibana:
1. Log in to your Elastic Cloud account.
2. Navigate to the Kibana endpoint in your deployment.
Point your browser to http://localhost:5601, replacing localhost with the name of the Kibana host.
In the side navigation, click Discover. To see Packetbeat data, make sure the predefined packetbeat-* index pattern is selected.

If you don’t see data in Kibana, try changing the time filter to a larger range. By default, Kibana shows the last 15 minutes.
In the side navigation, click Dashboard, then select the dashboard that you want to open.

The dashboards are provided as examples. We recommend that you customize them to meet your needs.

To populate the client locations map in the overview dashboard, follow the steps described in Enrich events with geoIP information.

What’s next?

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Now that you have your data streaming into Elasticsearch, learn how to unify your logs, metrics, uptime, and application performance data.

Ingest data from other sources by installing and configuring other Elastic Beats:

Elastic Beats	To capture
Metricbeat	Infrastructure metrics
Filebeat	Logs
Winlogbeat	Windows event logs
Heartbeat	Uptime information
APM	Application performance metrics
Auditbeat	Audit events

Use the Observability apps in Kibana to search across all your data:

Elastic apps	Use to
Metrics app	Explore metrics about systems and services across your ecosystem
Logs app	Tail related log data in real time
Uptime app	Monitor availability issues across your apps and services
APM app	Monitor application performance
SIEM app	Analyze security events

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