PoC - Metrics, Tracing, Logging, and Observability

Concept

The main goal of this PoC is to demonstrate how to use OpenTelemetry to collect metrics, tracing, and logging data from different programming languages and frameworks.

Languages

• GoLang
• .NET
• Python

API Endpoints

GET /api/long_run

• golang
• dotnet
• python

This should call the longRun() function.

GET /api/short_run

• golang
• dotnet
• python

This should call the shortRun() function.

GET /api/database_run

• golang
• dotnet
• python

This should call the databaseRun() function.

GET /api/failed_run

• golang
• dotnet
• python

This should call the failedRun() function.

Main Functions

longRun()

This function should call the following:

• add(int a, int b)
• subtract(int a, int b)
• multiply(int a, int b)
• divide(int a, int b)

shortRun()

This function should sleep for 100 milliseconds.

databaseRun()

This function should connect to the database, find all documents, and return the result.

failedRun()

This function should sleep for 100 milliseconds and then fail.

Database Schema

Collection	Field	Type	Description
Data	_id	ObjectId	(internal) Unique identifier for the document
Data	created_at	Time	(internal) N/a
Data	updated_at	Time	(internal)N/a
Data	data	int	Data field

Docker Compose and Makefile

To run the application, you can use the provided docker-compose file or makefile which include some automation.

> make docker-compose

Docker Compose Links

Service	Links
Grafana	http://localhost:3000
Prometheus	http://localhost:9090
Loki	http://localhost:3100
Tempo	http://localhost:3200
Mongo-Express	http://localhost:27018

Prerequisites

• Docker
• Docker Compose
• Make

Links

• OpenTelemetry
• OpenTelemetry .NET
• OpenTelemetry Go
• OpenTelemetry Python