> ## Documentation Index
> Fetch the complete documentation index at: https://docs.shaktistudio.ai/llms.txt
> Use this file to discover all available pages before exploring further.
# Inference & Monitoring
### Steps for Using the Deployed Model and Monitoring it's Performance
Once the model is successfully deployed, you can follow these steps to begin inference:
* Go to the **API** tab of your model
* Find the **Endpoint URL** and the pre-generated inference script
* Copy the script, replace placeholder values, and execute it to call the model
**How to access your API Key?**
Go to **Account Settings** and select **API Key**
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The Monitor tab provides an overview of your deployment's performance.
1. **Monitor Real-Time Status:**
* **Pod Info:** Status and count of active pods
* **Throughput & Latency:** Requests per second and processing time
* **Success & Failure Rates:** Percentage of successful and failed inferences
**2. Resource Monitoring**: Various system level metrics can be tracked along with system load information; such as CPU/ GPU usage & request metrics
