Send logs using Fluentbit
Fluent Bit is an open-source logging and metrics processor and forwarder to multiple destinations.
In this guide, we will show you how to connect it to Quickwit.
Prerequisites
- Install Quickwit
- Start a Quickwit instance with
./quickwit run
- Install Fluentbit
Create a simple index for Fluentbit logs
Let's create a schemaless index with only one field timestamp
. The mode dynamic
indicates that Quickwit will index all fields even if they are not defined in the doc mapping.
version: 0.7
index_id: fluentbit-logs
doc_mapping:
mode: dynamic
field_mappings:
- name: timestamp
type: datetime
input_formats:
- unix_timestamp
output_format: unix_timestamp_secs
fast: true
timestamp_field: timestamp
indexing_settings:
commit_timeout_secs: 10
curl -o fluentbit-logs.yaml https://raw.githubusercontent.com/quickwit-oss/quickwit/main/config/tutorials/fluentbit-logs/index-config.yaml
And then create the index with cURL
or the CLI
:
- cURL
- CLI
curl -XPOST http://localhost:7280/api/v1/indexes -H "content-type: application/yaml" --data-binary @fluentbit-logs.yaml
./quickwit index create --index-config fluentbit-logs.yaml
Setup Fluentbit
Fluentbit configuration file is made of inputs and outputs. For this tutorial, we will use a dummy configuration:
[INPUT]
Name dummy
Tag dummy.log
[OUTPUT]
Name http
Match *
URI /api/v1/fluentbit-logs/ingest
Host localhost
Port 7280
tls Off
Format json_lines
Json_date_key timestamp
Json_date_format epoch
Fluentbit will send dummy
logs to Quickwit endpoint /api/v1/fluentbit-logs/ingest
.
Let's start Fluentbit.
fluent-bit -c fluent-bit.conf
Search logs
Quickwit is now ingesting logs coming from Fluentbit and you can search them either with cURL
or by using the UI:
curl "http://127.0.0.1:7280/api/v1/fluentbit-logs/search?query=severity:DEBUG"
- Open your browser at
http://127.0.0.1:7280/ui/search?query=severity:DEBUG&index_id=fluentbit-logs&max_hits=10
.
Further improvements
You will soon be able to do aggregations on dynamic fields (planned for 0.7).