Splunk is a great tool for searching logs, but its high cost makes it prohibitive for many teams. In this article, we present a free and open source alternative to Splunk by combining three open source projects: Elasticsearch, Kibana, and Fluentd.
By combining these three tools (Fluentd + Elasticsearch + Kibana) we get a scalable, flexible, easy to use log search engine with a great Web UI that provides an open-source Splunk alternative, all for free.
In this guide, we will go over installation, setup, and basic use of this combined log search solution. This article was tested on Ubuntu 16.04 and CentOS 7.4. If you're not familiar with Fluentd, please learn more about Fluentd first.
Please confirm that your Java version is 8 or higher.
$ java -versionopenjdk version "1.8.0_151"OpenJDK Runtime Environment (build 1.8.0_151-b12)OpenJDK 64-Bit Server VM (build 25.151-b12, mixed mode)
Now that we've checked for prerequisites, we're now ready to install and set up the three open source tools.
To install Elasticsearch, please download and extract the Elasticsearch package as shown below.
$ curl -O https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-6.1.0.tar.gz$ tar -xf elasticsearch-6.1.0.tar.gz$ cd elasticsearch-6.1.0
Once installation is complete, start Elasticsearch.
Note: You can also install ElasticSearch (and Kibana) using RPM/DEB packages. For details, please refer to the official instructions.
$ curl -O https://artifacts.elastic.co/downloads/kibana/kibana-6.1.0-linux-x86_64.tar.gz$ tar -xf kibana-6.1.0-linux-x86_64.tar.gz$ cd kibana-6.1.0-linux-x86_64
Once installation is complete, start Kibana and run
./bin/kibana. You can modify Kibana's configuration via
http://localhost:5601 in your browser.
In this guide We'll install td-agent, the stable release of Fluentd. Please refer to the guides below for detailed installation steps.
Next, we'll install the Elasticsearch plugin for Fluentd: fluent-plugin-elasticsearch. Then, install fluent-plugin-elasticsearch as follows.
$ sudo /usr/sbin/td-agent-gem install fluent-plugin-elasticsearch --no-document
We'll configure td-agent (Fluentd) to interface properly with Elasticsearch. Please modify
/etc/td-agent/td-agent.conf as shown below:
# get logs from syslog<source>@type syslogport 42185tag syslog</source># get logs from fluent-logger, fluent-cat or other fluentd instances<source>@type forward</source><match syslog.**>@type elasticsearchlogstash_format true<buffer>flush_interval 10s # for testing</buffer></match>
fluent-plugin-elasticsearch comes with a logstash_format option that allows Kibana to search stored event logs in Elasticsearch.
Once everything has been set up and configured, we'll start td-agent.
# init$ sudo /etc/init.d/td-agent start# or systemd$ sudo systemctl start td-agent.service
In our final step, we'll forward the logs from your rsyslogd to Fluentd. Please add the following line to your
/etc/rsyslog.conf, and restart rsyslog. This will forward your local syslog to Fluentd, and Fluentd in turn will forward the logs to Elasticsearch.
Please restart the rsyslog service once the modification is complete.
# init$ sudo /etc/init.d/rsyslog restart# or systemd$ sudo systemctl restart rsyslog
Once Fluentd receives some event logs from
rsyslog and has flushed them to Elasticsearch, you can view, search and visualize the log data using Kibana.
For starters, let's access
http://localhost:5601 and click the
Set up index patters button in the upper-right corner of the screen.
Kibana will start a wizard that guides you through configuring the data sets to visualize. If you want a quick start, use
logstash-* as the index pattern, and select
@timestamp as the time-filter field.
After setting up an index pattern, you can view the system logs as they flow in:
For more detail on how to use Kibana, please read the official manual.
To manually send logs to Elasticsearch, please use the
$ logger -t test foobar
When debugging your
td-agent configuration, using
filter_stdout will be useful. All the logs including errors can be found at
<filter syslog.**>@type stdout</filter><match syslog.**>@type elasticsearchlogstash_format true<buffer>flush_interval 10s # for testing</buffer></match>
This article introduced the combination of Fluentd and Kibana (with Elasticsearch) which achieves a free alternative to Splunk: storing and searching machine logs. The examples provided in this article have not been tuned.
If you will be using these components in production, you may want to modify some of the configurations (e.g. JVM, Elasticsearch, Fluentd buffer, etc.) according to your needs.
If this article is incorrect or outdated, or omits critical information, please let us know. Fluentd is an open-source project under Cloud Native Computing Foundation (CNCF). All components are available under the Apache 2 License.