---
title: "Cloud Resource Context"
description: "Learn about the Cloud Resource Context integration and how it adds information about the Cloud environment the project runs in."
url: https://docs.sentry.io/platforms/python/integrations/cloudresourcecontext/
---

# Cloud Resource Context | Sentry for Python

The Cloud Resource Context integration adds information about the cloud platform your app runs to errors and performance events. Currently [Amazon EC2](https://aws.amazon.com/ec2/) and [Google Compute Engine](https://cloud.google.com/compute) are supported.

## [Install](https://docs.sentry.io/platforms/python/integrations/cloudresourcecontext.md#install)

To install it, run:

```bash
pip install "sentry-sdk"
```

## [Configure](https://docs.sentry.io/platforms/python/integrations/cloudresourcecontext.md#configure)

Add `CloudResourceContextIntegration()` to your `integrations` list:

In addition to capturing errors, you can monitor interactions between multiple services or applications by [enabling tracing](https://docs.sentry.io/concepts/key-terms/tracing.md). You can also collect and analyze performance profiles from real users with [profiling](https://docs.sentry.io/product/explore/profiling.md).

Select which Sentry features you'd like to install in addition to Error Monitoring to get the corresponding installation and configuration instructions below.

Error Monitoring\[ ]Tracing\[ ]Profiling

```python
import sentry_sdk
from sentry_sdk.integrations.cloud_resource_context import CloudResourceContextIntegration

sentry_sdk.init(
    dsn="___PUBLIC_DSN___",
    # Add data like request headers and IP for users, if applicable;
    # see https://docs.sentry.io/platforms/python/data-management/data-collected/ for more info
    send_default_pii=True,
    # ___PRODUCT_OPTION_START___ performance
    # Set traces_sample_rate to 1.0 to capture 100%
    # of transactions for tracing.
    traces_sample_rate=1.0,
    # ___PRODUCT_OPTION_END___ performance
    # ___PRODUCT_OPTION_START___ profiling
    # To collect profiles for all profile sessions,
    # set `profile_session_sample_rate` to 1.0.
    profile_session_sample_rate=1.0,
    # Profiles will be automatically collected while
    # there is an active span.
    profile_lifecycle="trace",
    # ___PRODUCT_OPTION_END___ profiling
    integrations=[
        CloudResourceContextIntegration(),
    ],
)
```

## [Verify](https://docs.sentry.io/platforms/python/integrations/cloudresourcecontext.md#verify)

Trigger an error in the code running in your cloud and see the error and performance data show up in [sentry.io](https://sentry.io). It takes a couple of moments for the performance data to show up in [sentry.io](https://sentry.io).

## [Behavior](https://docs.sentry.io/platforms/python/integrations/cloudresourcecontext.md#behavior)

When the SDK starts up, information from the cloud provider the app is running in is retrieved and added to all error and performance events sent to Sentry. The [developer documentation](https://develop.sentry.dev/sdk/foundations/transport/event-payloads/contexts/#runtime-context) lists all the information that's being added.

In AWS EC2 the context looks like this:

In Google Cloud Platform GCE the context looks like this:

## [Supported Versions](https://docs.sentry.io/platforms/python/integrations/cloudresourcecontext.md#supported-versions)

* Python: 3.6+
* Cloud platforms: Amazon EC2, Google Compute Engine