pino-fluentd

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:evergreen_tree: send pino logs to Fluentd

pino-fluentd 최신버젼 다운로드

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# pino-fluentd

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Send [pino](https://github.com/pinojs/pino) logs to [Fluentd](https://www.fluentd.org/). This plugin is fully inspired to [pino-elasticsearch](https://github.com/pinojs/pino-elasticsearch)

Under the hood the official [fluent-logger-node](https://github.com/fluent/fluent-logger-node) module is used.

## What is Fluentd?

[Fluentd](https://www.fluentd.org/) is an open source data collector for unified logging layer. Fluentd allows you to unify data collection and consumption for a better use and understanding of data.

## Install

If you want to use `pino-fluentd` you must first install globally on your machine

```
npm install pino-fluentd -g
```

## Usage

```
  pino-fluentd

To send pino logs to fluentd:

cat log | pino-fluentd --tag debug --trace-level info

Flags
  -h   | --help                  Display Help
  -v   | --version               Display Version
  -H   | --host                  the IP address of fluentd; default: 127.0.0.1
  -p   | --port                  the port of fluentd; default: 24224
  -t   | --tag                   the name of the tag to use; default: pino
  -k   | --key                   the name of the type to use; default: log
  -T   | --timeout               set the socket to timetout after timeout milliseconds of inactivity
  -ri  | --reconnect-interval    The reconnect interval in milliseconds
  -fi  | --flush-interval        The flush interval in milliseconds
  -l   | --trace-level           trace level for the fluentd client, default 'error' (trace, debug, info, warn, error, fatal)
```

You can then use [Elasticsearch](https://www.elastic.co/products/elasticsearch) and [Kibana](https://www.elastic.co/products/kibana) to browse and visualize your logs, or whatever you want. A full list of Data Output is [here](https://www.fluentd.org/dataoutputs).

## Setup and testing

Setting up `pino-fluentd` is easy and you can use the bundled `docker-compose-*.yml` file to bring up a Fluentd with or without Elasictsearch and Kibana containers.

You will need [docker](https://www.docker.com/) and [docker-compose](https://docs.docker.com/compose/), then in this project folder, launch `docker-compose -f docker-compose-*.yml up`.

You can test it by launching `node example | pino-fluentd`, in this project folder. You will need to have pino-fluentd installed globally.

## Forward to Elasticsearch

Fluentd can be configured to forward your logs to ElasticSearch (and search them with Kibana maybe?).
In order to use fluentd with ElasticSearch you need to install the fluent-plugin-elasticsearch plugin on your fluentd instance:

```
gem install fluent-plugin-elasticsearch
```

In your Fluentd configuration file, use `@type elasticsearch`. Additional configuration is optional, default values would look like this:

```
# File fluent.conf
<source>
  @type forward
  port 24224
  bind 0.0.0.0
</source>
<match pino.*>
  @type copy
  <store>
    @type elasticsearch
    host elasticsearch
    port 9200
    flush_interval 10s
  </store>
  <store>
    @type stdout
  </store>
</match>
```

When Fluentd receives some logs from `pino-fluentd` and has flushed them to Elasticsearch after a certain interval (in this example 10 seconds), you can view, search and visualize, the log data using Kibana.

## License

Licensed under [MIT](./LICENSE)

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