Mongo Logs to Kibana

This tool helps to visualise any Mongo logs into Kibana. It can very helpful to perform a deep investigation.
It is responsible to parse any Mongo logs and populate ElasticSearch.
This tool can handle Gbs of Mongo logs.
Once populated, you can visualise the logs and perform some queries in Kibana.

This tool can populate ElasticSearch running locally or from your server.

Technical Overview

• Golang
• ElasticSearch / Kibana
• Docker / Docker-compose

Requirements

• Docker
• Make

Commands

These commands have been tested only on MacOS.

How to run ElasticSearch / Kibana locally

cd elk
docker-compose up

The url for ElasticSearch will be http://localhost:9200
The url for Kibana will be http://localhost:5601

How to build the tool

make build

How to run the tool

ELASTICSEARCH_INDEX=your_elastic_search_index \
ELASTICSEARCH_URL=elastic_search_url \
LOG_FILE=your_log_file_path \
make run

Visualise the Mongo Logs in Kibana

1. Open Kibana (if local, open http://localhost:5601)
2. Create an index pattern in Kibana
3. Visualise and query