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Cisco Meraki Logs
Ship logs from Cisco Meraki to Logstash
Filebeat is a lightweight shipper that enables you to send your Cisco Meraki logs to Logstash and Elasticsearch. Configure Filebeat using the pre-defined examples below to start sending and analysing your Meraki logs.
Step 1 - Configure Syslog Server
Configure your Cisco Meraki to write all logs to a single file and to send logs to a Syslog server.
View more details on how to configure Meraki Syslog.
Step 2 - Install Filebeat
deb (Debian/Ubuntu/Mint)
curl -L -O https://artifacts.elastic.co/downloads/beats//-oss-7.15.1-amd64.deb
sudo dpkg -i -oss-7.15.1-amd64.deb
rpm (CentOS/RHEL/Fedora)
curl -L -O https://artifacts.elastic.co/downloads/beats//-oss-7.15.1-x86_64.rpm
sudo rpm -vi -oss-7.15.1-x86_64.rpm
macOS
curl -L -O https://artifacts.elastic.co/downloads/beats//-oss-7.15.1-darwin-x86_64.tar.gz
tar xzvf -oss-7.15.1-darwin-x86_64.tar.gz
Windows
- Download and extract the Windows zip file.
- Rename the
-<version>-windows
directory to ``. - Open a PowerShell prompt as an Administrator.
- Run the following to install as a Windows service:
.\install-service-.ps1
PowerShell.exe -ExecutionPolicy UnRestricted -File .\install-service-.ps1
.
Step 3 - Locate the configuration file
deb/rpm /etc/filebeat/filebeat.yml
mac/win <EXTRACTED_ARCHIVE>/filebeat.yml
Step 4 - Configure the inputs
Configure the Meraki host path in the Filebeat configuration file.
filebeat.inputs:
- type: udp
enabled: true
max_message_size: 10MiB
host: "0.0.0.0:1200"
fields:
type: cisco-meraki
fields_under_root: true
encoding: utf-8
ignore_older: 6h
Step 5 - Configure output
We'll be shipping to Logstash so that we have the option to run filters before the data is indexed.
Comment out the elasticsearch output block.
## Comment out elasticsearch output
#output.elasticsearch:
# hosts: ["localhost:9200"]
Step 6 - Validate configuration
Let's check the configuration file is syntactically correct by running directly inside the terminal.
If the file is invalid, will print an error loading config file
error message with details on how to correct the problem.
deb/rpm
sudo -e -c /etc//.yml
macOS
cd <EXTRACTED_ARCHIVE>
./ -e -c .yml
Windows
cd <EXTRACTED_ARCHIVE>
.\.exe -e -c .yml
Step 7 - Start filebeat
deb/rpm
sudo systemctl enable filebeat
sudo systemctl start filebeat
mac
./filebeat
Windows
Start-Service filebeat
Step 8 - how to diagnose no data in Stack
If you don't see data appearing in your Stack after following the steps, visit the Help Centre guide for steps to diagnose no data appearing in your Stack or Chat to support now.
Step 9 - Filebeat Overview
Filebeat is the most popular way to send logs to ELK due to its reliability & minimal memory footprint. It is the leading Beat out of the entire collection of open-source shipping tools, including Auditbeat, Metricbeat & Heartbeat.
Filebeat's origins begin from combining key features from Logstash-Forwarder & Lumberjack & is written in Go. Within the logging pipeline, Filebeat can generate, parse, tail & forward common logs to be indexed within Elasticsearch. The harvester is often compared to Logstash but it is not a suitable replacement & instead should be used in tandem for most use cases.
Earlier versions of Filebeat suffered from a very limited scope & only allowed the user to send events to Logstash & Elasticsearch. More recent versions of the shipper have been updated to be compatible with Redis & Kafka.
A misconfigured Filebeat setup can lead to many complex logging concerns that this filebeat.yml wizard aims to solve. Just a couple of examples of these include excessively large registry files & file handlers that error frequently when encountering deleted or renamed log files. Tracking numerous pipelines using this shipper can become tedious for self hosted Elastic Stacks so you may wish to consider our Hosted ELK service as a solution to this.
If you need any further assistance with migrating your log data to ELK we're here to help you get started. Feel free to get in contact with our support team by sending us a message via live chat & we'll be happy to assist.