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The goal of this project is to implement a Spring Boot application, called movies-api, and use Filebeat & ELK Stack (Elasticsearch, Logstash and Kibana) to collect and visualize application's logs and Prometheus & Grafana to monitor application's metrics.

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ivangfr/springboot-elk-prometheus-grafana

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springboot-elk-prometheus-grafana

The goal of this project is to implement a Spring Boot application, called movies-api, and use Filebeat & ELK Stack (Elasticsearch, Logstash and Kibana) to collect and visualize application's logs and Prometheus & Grafana to monitor application's metrics.

Note: In kubernetes-minikube-environment repository, it's shown how to deploy this project in Kubernetes (Minikube)

Proof-of-Concepts & Articles

On ivangfr.github.io, I have compiled my Proof-of-Concepts (PoCs) and articles. You can easily search for the technology you are interested in by using the filter. Who knows, perhaps I have already implemented a PoC or written an article about what you are looking for.

Additional Readings

Project Diagram

project-diagram

Application

  • movies-api

    Spring Boot Web Java application that exposes a REST API for managing movies. Its endpoints are displayed in the picture below.

    movies-api

Prerequisites

Start Environment

  • Open a terminal and inside springboot-elk-prometheus-grafana root folder run:

    docker compose up -d
    
  • Wait for Docker containers to be up and running. To check it, run:

    docker compose ps
    

Running application with Maven

  • Open a terminal and make sure you are inside springboot-elk-prometheus-grafana folder;

  • Run the following command:

    ./mvnw clean spring-boot:run --projects movies-api
    

    Note: If you want to change to "non-json-logs" (maybe during development it's useful), run:

    ./mvnw clean spring-boot:run --projects movies-api -Dspring-boot.run.jvmArguments="-Dspring.profiles.active=non-json-logs"
    

Running application as Docker container

  • Build Docker image

    • In a terminal, make sure you are inside springboot-elk-prometheus-grafana root folder;
    • Run the following script to build the image:
      • JVM
        ./docker-build.sh
        
      • Native
        ./docker-build.sh native
        
  • Environment variables

    Environment Variable Description
    MYSQL_HOST Specify host of the MySQL database to use (default localhost)
    MYSQL_PORT Specify port of the MySQL database to use (default 3306)
  • Start Docker container

    • In a terminal, run the following command to start the Docker container:
      docker run --rm --name movies-api -p 8080:8080 \
        -e MYSQL_HOST=mysql \
        --network=springboot-elk-prometheus-grafana_default \
        ivanfranchin/movies-api:1.0.0
      

      Note: If you want to change to "non-json-logs", add -e SPRING_PROFILES_ACTIVE=non-json-logs to the command above

Application & Services URLs

  • movies-api

    movies-api Swagger is http://localhost:8080/swagger-ui.html

  • MySQL

    docker exec -it -e MYSQL_PWD=secret mysql mysql -uroot --database moviesdb
    SELECT * FROM movies;
    

    Type exit to get out of MySQL monitor

  • Prometheus

    Prometheus can be accessed at http://localhost:9090

    prometheus

  • Grafana

    Grafana can be accessed at http://localhost:3000

    • In order to login, type admin for both username and password;
    • You can skip the next screen that ask you to provide a new password;
    • Select Dashboards on the left-menu;
    • Click movies-api-dashboard.

    grafana

  • Kibana

    Kibana can be accessed at http://localhost:5601

    Note: in order to see movies-api logs in Kibana, you must run the application as Docker container

    Configuration

    • Access Kibana website;
    • Click Explore on my own;
    • On the main page, click the "burger" menu icon, then click Discover;
    • Click Create index pattern button;
    • In the Create index pattern form:
      • Set filebeat-* fot the Name field;
      • Select @timestamp for the Timestamp field combo-box;
      • Click Create index pattern button;
    • Click the "burger" menu icon again and then click Discover to start performing searches.

    kibana

  • Elasticsearch

    Elasticsearch URL is http://localhost:9200

    Useful queries

    # Check it's up and running
    curl localhost:9200
    
    # Check indexes
    curl "localhost:9200/_cat/indices?v"
    
    # Check filebeat index mapping
    curl "localhost:9200/filebeat-*/_mapping"
    
    # Simple search
    curl "localhost:9200/filebeat-*/_search?pretty"
    

Shutdown

  • To stop application, go to the terminal where it is running and press Ctrl+C;
  • To stop and remove docker compose containers, network and volumes, go to a terminal and, inside springboot-elk-prometheus-grafana root folder, run the following command:
    docker compose down -v
    

Cleanup

To remove the Docker images created by this project, go to a terminal and, inside springboot-elk-prometheus-grafana root folder, run the script below:

./remove-docker-images.sh

References

https://medium.com/@sece.cosmin/docker-logs-with-elastic-stack-elk-filebeat-50e2b20a27c6

About

The goal of this project is to implement a Spring Boot application, called movies-api, and use Filebeat & ELK Stack (Elasticsearch, Logstash and Kibana) to collect and visualize application's logs and Prometheus & Grafana to monitor application's metrics.

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