---
id: google-cloud-service-control
version: "1.21.0"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# google-cloud-service-control — Google Cloud Service Control API client library

License: permissive · Maintenance: active · Downloads: 201.3K/mo

## What it is and what it does

This is the official Python client library for Google Cloud Service Control, a managed service that provides admission control and telemetry reporting for applications integrated with Google Cloud Service Infrastructure. It wraps the Service Control API, allowing you to enforce policies and report metrics for your services running on or integrated with Google Cloud.

The library depends on google-api-core, google-auth, grpcio, proto-plus, and protobuf to handle authentication, gRPC communication, and protocol buffer serialization. It is maintained as part of the broader google-cloud-python ecosystem and supports Python 3.10 through 3.14. Installation is straightforward via pip, and the library integrates with Google Cloud's standard authentication mechanisms.

Use it for:

- Enforce admission control policies for microservices by checking requests against Service Control before processing.
- Report service telemetry and quota usage metrics to Google Cloud Service Infrastructure for monitoring and billing.
- Integrate custom services with Google Cloud's managed infrastructure for centralized policy enforcement.
- Implement rate limiting and quota management for APIs using Service Control's admission checks.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Python client library for Google Cloud Service Control API, enabling admission control and telemetry reporting for services integrated with Google Cloud Service Infrastructure.

Yes, if you are building services on Google Cloud Service Infrastructure and need to integrate admission control or telemetry reporting. The library is production-stable, actively maintained, has no known vulnerabilities, and low install friction. Not relevant for applications outside the Google Cloud ecosystem.

## Install

pip install google-cloud-service-control
uv add google-cloud-service-control
poetry add google-cloud-service-control

## Installing google-cloud-service-control

Before you install: Low install friction with a pure-wheel distribution. Active maintenance with a release 8 days ago; the repository is actively developed and well-established within the Google Cloud Python ecosystem.

License in practice: Apache-2.0 permissive license allows commercial and private use with minimal restrictions, typical for Google Cloud client libraries.

Quickstart:

pip install google-cloud-service-control

from google.cloud import servicecontrol_v1

client = servicecontrol_v1.ServiceControllerClient()

Requires Python >= 3.10; Google Cloud credentials must be configured (via application default credentials, service account key, or environment variable).

Verify before relying:

- Whether the library requires explicit Google Cloud project setup beyond standard authentication.
- Performance characteristics and typical latency for admission control and telemetry operations.
- Specific use-case examples beyond the generic quick-start documentation.

## Package facts

- License: Apache-2.0 (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 201.3K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

google cloud service control client, admission control api python, service infrastructure telemetry, google cloud api client library, service control python sdk, google-cloud, api-client, service-control

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