Fluentd
Search…
Docker Compose
This article explains how to collect Docker logs and propagate them to EFK (Elasticsearch + Fluentd + Kibana) stack. The example uses Docker Compose for setting up multiple containers.
Kibana
Elasticsearch had been an open-source search engine known for its ease of use. Kibana had been an open-source Web UI that makes Elasticsearch user-friendly for marketers, engineers and data scientists alike.
NOTE: Since v7.11, These products are distributed under non open-source license (Dual licensed under Server Side Public License and Elastic License)
By combining these three tools EFK (Elasticsearch + Fluentd + Kibana) we get a scalable, flexible, easy to use log collection and analytics pipeline. In this article, we will set up four (4) containers, each includes:
All the logs of httpd will be ingested into Elasticsearch + Kibana, via Fluentd.

Prerequisites: Docker

Please download and install Docker / Docker Compose. Well, that's it :)

Step 0: Create docker-compose.yml

Create docker-compose.yml for Docker Compose. Docker Compose is a tool for defining and running multi-container Docker applications.
With the YAML file below, you can create and start all the services (in this case, Apache, Fluentd, Elasticsearch, Kibana) by one command:
version: "3"
services:
web:
image: httpd
ports:
- "80:80"
links:
- fluentd
logging:
driver: "fluentd"
options:
fluentd-address: localhost:24224
tag: httpd.access
fluentd:
build: ./fluentd
volumes:
- ./fluentd/conf:/fluentd/etc
links:
- "elasticsearch"
ports:
- "24224:24224"
- "24224:24224/udp"
elasticsearch:
image: docker.elastic.co/elasticsearch/elasticsearch:7.13.1
container_name: elasticsearch
environment:
- "discovery.type=single-node"
expose:
- "9200"
ports:
- "9200:9200"
kibana:
image: docker.elastic.co/kibana/kibana:7.13.1
links:
- "elasticsearch"
ports:
- "5601:5601"
The logging section (check Docker Compose documentation) of web container specifies Docker Fluentd Logging Driver as a default container logging driver. All the logs from the web container will automatically be forwarded to host:port specified by fluentd-address.

Step 1: Create Fluentd Image with your Config + Plugin

Create fluentd/Dockerfile with the following content using the Fluentd official Docker image; and then, install the Elasticsearch plugin:
# fluentd/Dockerfile
FROM fluent/fluentd:v1.12.0-debian-1.0
USER root
RUN ["gem", "install", "fluent-plugin-elasticsearch", "--no-document", "--version", "5.0.3"]
USER fluent
Then, create the Fluentd configuration file fluentd/conf/fluent.conf. The forward input plugin receives logs from the Docker logging driver and elasticsearch output plugin forwards these logs to Elasticsearch.
# fluentd/conf/fluent.conf
<source>
@type forward
port 24224
bind 0.0.0.0
</source>
<match *.**>
@type copy
<store>
@type elasticsearch
host elasticsearch
port 9200
logstash_format true
logstash_prefix fluentd
logstash_dateformat %Y%m%d
include_tag_key true
type_name access_log
tag_key @log_name
flush_interval 1s
</store>
<store>
@type stdout
</store>
</match>
NOTE: The detail of used parameters for @type elasticsearch, see Elasticsearch parameters section and fluent-plugin-elasticsearch furthermore.

Step 2: Start the Containers

Let's start the containers:
$ docker-compose up --detach
Use docker ps command to verify that the four (4) containers are up and running:
$ docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
60a8c3c8fcab httpd "httpd-foreground" 6 minutes ago Up 6 minutes 0.0.0.0:80->80/tcp, :::80->80/tcp fluentd-elastic-kibana_web_1
43df4d266636 fluentd-elastic-kibana_fluentd "tini -- /bin/entryp…" 6 minutes ago Up 6 minutes 5140/tcp, 0.0.0.0:24224->24224/tcp, 0.0.0.0:24224->24224/udp, :::24224->24224/tcp, :::24224->24224/udp fluentd-elastic-kibana_fluentd_1
6a63ad1ddef1 docker.elastic.co/kibana/kibana:7.13.1 "/bin/tini -- /usr/l…" 6 minutes ago Up 6 minutes 0.0.0.0:5601->5601/tcp, :::5601->5601/tcp fluentd-elastic-kibana_kibana_1
6168bd075497 docker.elastic.co/elasticsearch/elasticsearch:7.13.1 "/bin/tini -- /usr/l…" 6 minutes ago Up 6 minutes 0.0.0.0:9200->9200/tcp, :::9200->9200/tcp, 9300/tcp elasticsearch

Step 3: Generate httpd Access Logs

Use curl command to generate some access logs like this:
$ curl http://localhost:80/[1-10]
<html><body><h1>It works!</h1></body></html>
<html><body><h1>It works!</h1></body></html>
<html><body><h1>It works!</h1></body></html>
<html><body><h1>It works!</h1></body></html>
<html><body><h1>It works!</h1></body></html>
<html><body><h1>It works!</h1></body></html>
<html><body><h1>It works!</h1></body></html>
<html><body><h1>It works!</h1></body></html>
<html><body><h1>It works!</h1></body></html>
<html><body><h1>It works!</h1></body></html>

Step 4: Confirm Logs from Kibana

Browse to http://localhost:5601/app/management/kibana/indexPatterns and set up the index name pattern for Kibana. Specify fluentd-* to Index name or pattern and click Create.
Then, go to Discover tab to check the logs. As you can see, logs are properly collected into the Elasticsearch + Kibana, via Fluentd.
Kibana Discover

Code

Learn More

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.
Copy link
On this page
Prerequisites: Docker
Step 0: Create docker-compose.yml
Step 1: Create Fluentd Image with your Config + Plugin
Step 2: Start the Containers
Step 3: Generate httpd Access Logs
Step 4: Confirm Logs from Kibana
Code
Learn More