Understanding OpenTelemetry from begineer POV

What is opentelemetry

OpenTelemetry is an open-source observability framework for instrumenting, collecting, and exporting telemetry data—traces, metrics, and logs—from distributed systems and modern applications

opentelemetry Analytics

Steps to run the project locally

git clone https://github.com/uchiha-vivek/Monitoring-performance-with-opentelemetry-and-prometheus.git
cd Monitoring-performance-with-opentelemetry-and-prometheus

Make virtual environment

python -m venv venv

Activate the environment

venv\Scripts\activate

Install the requirements

pip install -r requirements.txt

run the main file

python app.py

Make sure to run docker dameon :

• open the docker desktop

docker-compose up -d

Hit the following endpoint to view the JAEGER GUI http://localhost:16686/search

What to do in Jaeger

• Select the service you defined in tracing.py . In our case its ecommerce-backend
• In the operation panel , you can see the METHOD and the endpoint

The info you can view

• you can see the http method
• you can view the external api being used here
• you can view the system defined route /api/v1/route
• you can see the otel.scope.name and otel.library.name
• service name is also mentioned
• you can view the duration of the api request

Hit the following endpoints

Endpoint 1:

http://localhost:5000/api/v1/products

endpoint 2:

http://localhost:5000/api/v1/products/1

Future integrations to be made

• will be deploying the code in Azure web app
• enabling azure analytics by using azure-monitor-telemetry
• reference material for setting up opentelemetry in azure - LINK
• enabling prometheus for spikes and latency