Rust on GCP

Coursera MOOC / Non-credit USD 49
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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.

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

Skills you'll gain

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