Rust on GCP
About this course
Build production data pipelines on Google Cloud using Rust — predictable latency, single-digit-megabyte containers, and errors that fail at compile time instead of 3 a.m. This course shows engineers how to read from Cloud Storage, query BigQuery (REST jobs.query for small results, Storage Read API for million-row Arrow scans), and deploy distroless handlers to Cloud Run with sub-100 millisecond cold starts. You'll learn the gcloud CLI and Cloud Shell workflow, choose the right GCS client crate stack (google-cloud-storage, tonic, tokio), and configure Pub/Sub push subscriptions with idempotent content-hash handlers and backpressure controls. Production discipline comes through cargo-audit, cargo-deny, secure-by-design defaults, and CI gates on GitHub Actions. By the end, you'll have a working pattern for shipping a Rust ETL handler that survives at-least-once delivery, distroless image scans, and concurrent load — all on the GCP services you already pay for.
75/100
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- Who stands behind it
- 20/35
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What you'll learn
- Read data from Cloud Storage using Rust
- Query BigQuery with Rust
- Deploy distroless containers on Cloud Run
- Configure Pub/Sub with idempotent content-hash handlers
- Implement production discipline with cargo-audit and cargo-deny
Course objectives
- Understand the workflow of gcloud CLI and Cloud Shell
- Choose appropriate GCS client crate stack for Rust
- Build an ETL handler that supports at-least-once delivery
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