1. Introduction
2. Getting Started
   • Prerequisites
   • Installation
3. ELK Stack Configuration
   • Elasticsearch
   • Logstash
   • Kibana
4. FastAPI App
   • API Implementation
   • Docker Configuration
5. Docker Compose
6. Usage
   • Running the App and ELK Stack

This repository contains the configuration files and setup for an ELK (Elasticsearch, Logstash, Kibana) stack along with a FastAPI app that implements CRUD methods.

Before starting, ensure you have the following installed:

• Docker
• Docker Compose

1. Clone the repository:

   git clone https://github.com/olahsymbo/elk-fastapi-app-monitoring.git
   cd elk-fastapi-app-monitoring

2. Install the required Python packages using Poetry:

   poetry install

• Configuration file: elasticsearch/elasticsearch.yml

• Configuration files:
  • logstash/config/logstash.yml
  • logstash/pipeline/logstash.conf

• Configuration file: kibana/kibana.yml

The FastAPI app is implemented in apis/app.py and includes a POST | GET | PUT | DELETE request methods.

Dockerfile for FastAPI app: Dockerfile

Docker Compose file: docker-compose.yml

1. Navigate to the project root directory.
2. Run the following command:

   docker-compose up -d

Here is kibana dashboard showing the logs: