Case Study: DeepSource achieves scalable code security and faster remediation with Google Cloud and Gemini

DeepSource secures code for 6,000+ companies with Apigee

DeepSource, a company building developer tools for code quality and security, faced the challenge of scaling its proprietary static analysis platform to support thousands of developers simultaneously while maintaining high accuracy and enabling automated fixes. To grow from a startup and meet these demands, they turned to Google Cloud, specifically leveraging Google Kubernetes Engine (GKE) and Gemini models.

The solution implemented by Google Cloud used GKE as the foundational orchestration platform, enabling DeepSource to auto-scale and process tens of millions of lines of code daily with high performance. Using Gemini's large context window and strong agentic capabilities, DeepSource built its Autofix™ AI remediation engine, which increases analysis accuracy and provides automated fixes. As a result, Google Cloud helped DeepSource support over 6,000 companies, reduce operations costs with managed services, and accelerate time to market by freeing developer resources.

DeepSource