Monitoring Demo

Overview

Spring Boot example project with

some example REST endpoints
in-memory repository
some Spring Boot Actuator endpoints enabled
standard metrics collection via Micrometer https://micrometer.io/ for Prometheus https://prometheus.io/
custom metrics example via Micrometer: a custom meter of type Counter called exampleData_created_total
structured logging via Logstash Logback Encoder https://github.com/logstash/logstash-logback-encoder
log management via Promtail agent for Loki https://grafana.com/oss/loki/
monitoring and logging dashboards for Grafana https://grafana.com/
distributed tracing via Spring Cloud Sleuth https://spring.io/projects/spring-cloud-sleuth for Jaeger https://www.jaegertracing.io/
TODO planned: custom tracing spans example via Spring Cloud Sleuth

Example Endpoints

The application when started locally is running on port 8080 and the following example endpoints are available

Read all example data

GET http://localhost:8080/example Example response payload

[ { "name": "answer", "value": 42 }, { "name": "test", "value": 123 } ]

Read example data by name

GET http://localhost:8080/example/{name} For example, http://localhost:8080/example/answer gets the response payload

{ "name": "answer", "value": 42 }

Write example data

POST http://localhost:8080/example Example request payload

{ "name": "test", "value": 123 }

Actuator Endpoints

The following Actuator endpoints are enabled

Logfiles

Logs are written as text to STDOUT and as structured JSON to ./logs/monitoring.log

Starting Monitoring and Logging Tools

Monitoring and logging tools can be started in path ./docker via docker-compose

docker-compose up

The following tools are available:

Prometheus

Prometheus can be reached via http://localhost:9090

Incorporating a prometheus.yml configuration scraping from targets: ['host.docker.internal:8080'] with metrics_path: '/actuator/prometheus'.

Promtail

This agent is incorporating a promtail-docker-config.yml scraping from a volume mounted under /var/log/monitoring.log to Loki endpoint http://monitoring-loki:3100/loki/api/v1/push

Loki

Loki is currently left to default configuration using the filesystem for both index and chunks storage.

Loki is running on http://localhost:3100 with e.g. http://localhost:3100/metrics being an available endpoint and http://localhost:3100/loki/api/v1/query?query=%7Bjob=%22monitoring-demo%22%7D being a valid query.

Grafana

Grafana can be reached via http://localhost:3000

It is incorporating a datasource.yaml configuration with the following datasources defined:

monitoring-prometheus-datasource of type prometheus pointing at Prometheus via url: http://monitoring-prometheus:9090
monitoring-loki-datasource of type loki pointing at Loki via url: http://monitoring-loki:3100
monitoring-loki-as-prometheus-datasource of type prometheus pointing at Loki via url: http://monitoring-loki:3100/loki

An example dashboard named "Experiment" is already configured and loaded using request metrics from our example app provided via Prometheus as well as log entries and log metrics provided via Loki.

Jaeger

Jaeger UI can be reached via http://localhost:16686

Started using jaegertracing/all-in-one image, Jaeger collector is configured to expose a Zipkin compatible endpoint under http://localhost:9411/.

POST http://localhost:9411/api/v2/spans uploads a list of spans encoded per content-type, for example json. See also https://zipkin.io/zipkin-api/#/default/post_spans

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