OpenTelemetry Instrumentation for TortoiseORM - Database Analysis

In this blog post, we explain how to optimally use the Python module opentelemetry-instrumentation-tortoiseorm in a realistic project. This tool is an OpenTelemetry instrumentation library for TortoiseORM, an Object-Relational Mapper (ORM) for Python. It allows you to connect database analytics with a modern monitoring platform, thus enabling you to analyze and optimize your applications more efficiently.

First, you need to install the required packages by entering the following command in your terminal application:

```bash
pip install opentelemetry-instrumentation-tortoiseorm opentelemetry-api opentelemetry-sdk-trace opentelemetry-exporter-jaeger tortoise-orm
```

After installation, you need to initialize and configure the OpenTelemetry tracings before you can use it with TortoiseORM. You can do this by inserting the following code into your application:

```python
from opentelemetry import trace
from opentelemetry.sdk.resources import Resource
from opentelemetry.sdk.trace.export import JaegerSpanProcessor
from opentelemetry.exporter.jaeger.protobuf import ProtobufJaegerExporter
from opentelemetry.instrumentation.tortoiseorm import TortoiseORMInstrumentator

tracer_provider = trace.TracerProvider(resource=Resource(attributes={"service.name": "your-service"}))
jaeger_exporter = ProtobufJaegerExporter()
processor = JaegerSpanProcessor(jaeger_exporter)
tracer_provider.add_span_processor(processor)
TortoiseORMInstrumentator().instrument()
```

Once you have initialized the tracings, you can now use TortoiseORM to perform your database operations. Every database action will be automatically captured via OpenTelemetry and forwarded to the monitoring platform.

In this example, we are using the Jaeger exporter, but you can also use other exporters like the Zipkin exporter. It is important to note that you need to configure it so that your tracings are correctly forwarded to the monitoring platform.

With opentelemetry-instrumentation-tortoiseorm, you can connect complex database analytics with a modern monitoring platform, allowing you to make more efficient decisions and optimize your applications. By instrumenting TortoiseORM, all database actions are automatically captured, giving you a better understanding of the performance characteristics of your application. This tool is therefore ideal for optimizing and monitoring Python applications with TortoiseORM.