Professional Services is a collection of example solutions and tools developed by Google Cloud's Professional Services team for use with Google Cloud Platform services.
The repository addresses the need for reference implementations and practical guidance when building on Google Cloud. It provides working examples across multiple GCP products including BigQuery, Google Kubernetes Engine, Compute Engine, Dataflow, and Machine Learning services. Developers can use these solutions as starting points for their own projects or extend them to fit specific use cases.
The collection suits teams evaluating GCP services or seeking patterns for common cloud workloads. It works best as a reference library rather than a production-ready framework—the README explicitly notes this is not an officially supported Google product. Organizations building custom solutions on GCP will find the examples useful for understanding how to structure projects across different services, though they should expect to adapt rather than deploy code directly.
The repository maintains a broad scope covering multiple Google Cloud products and use cases, with examples written primarily in Python. The codebase reflects contributions addressing real consulting scenarios encountered by Google's Professional Services organization.
