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https://github.com/fesabelilla/elk-vectordb-docker-compose

A lightweight, production-ready ELK (Elasticsearch, Logstash, Kibana) stack deployed using Docker Compose. Provides a simple, containerized solution for centralized log management, analysis, and visualization with minimal configuration required. Ideal for development and small-scale logging infrastructures.
https://github.com/fesabelilla/elk-vectordb-docker-compose

docker docker-compose elasticsearch kibana logstash vector-database

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A lightweight, production-ready ELK (Elasticsearch, Logstash, Kibana) stack deployed using Docker Compose. Provides a simple, containerized solution for centralized log management, analysis, and visualization with minimal configuration required. Ideal for development and small-scale logging infrastructures.

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README

          

# ELK Stack Docker Compose

## Prerequisites
- Docker
- Docker Compose

## Setup

### 1. Clone Repository
```bash
git clone
cd elk-docker-stack
```

### 2. Prepare System
```bash
# Increase max map count for Elasticsearch
sudo sysctl -w vm.max_map_count=262144
```

### 3. Start ELK Stack
```bash
# Start services
docker-compose up -d

# Check running containers
docker-compose ps
```

## Services
- **Elasticsearch**: `localhost:9200`
- **Kibana**: `localhost:5601`
- **Logstash**: `localhost:5044`, `localhost:5000`

## Useful Commands
```bash
# Stop services
docker-compose down

# View logs
docker-compose logs [service]
```

## Notes
- Requires minimum 4GB RAM
- Security features are disabled

## Troubleshooting
- Check logs: `docker-compose logs`
- Verify network: `docker network ls`