// the find
GoogleCloudPlatform/professional-services
Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.
A monorepo of 100+ standalone examples and tools built by Google Cloud's Professional Services consultants — basically a collection of things they built for enterprise customers and open-sourced afterward. It covers BigQuery migrations, Dataflow pipelines, GKE setups, IAM tooling, and a growing pile of GenAI examples. Useful if you're doing GCP work and want a working reference implementation rather than starting from scratch.
The breadth is real — tools like bigquery-tink-toolkit (field-level encryption interop with BQ), bqpipeline (Python pipeline DSL), and the DLP-to-Data-Catalog auto-tagger are genuinely useful utilities you'd otherwise have to write yourself. Many examples include Terraform for the infrastructure side, not just application code. The BigQuery DDL migration utilities (Oracle, Snowflake, MSSQL → BQ) reflect actual PS engagement work, so they handle the edge cases you'd hit in production. Active commit history — pushed yesterday — means examples aren't all rotting on deprecated APIs.
No coherent testing story across the repo — some examples have tests, most don't, and there's no top-level CI that validates individual examples still work. Quality is wildly inconsistent: some tools are polished with proper error handling, others are obviously a consultant's one-off script that barely ran once. The 'not an officially supported Google product' disclaimer isn't just legal boilerplate — it means APIs referenced in examples (especially older ML Engine / AI Platform ones) have been renamed or deprecated with no updates. Finding the right example requires reading the README manually; there's no tagging or search beyond grepping.