Rust on GCP
Build production data pipelines on Google Cloud using Rust — predictable latency, single-digit-megabyte containers, and errors that fail at compile time...
By Pragmatic AI Labs on Coursera
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.
Topics Covered
Frequently Asked Questions
How much does Rust on GCP cost?
Rust on GCP costs $49. Check the course page for current pricing and available discounts.
Who teaches Rust on GCP?
Rust on GCP is taught by Pragmatic AI Labs, Pragmatic AI Labs.
What skill level is Rust on GCP for?
This course is designed for all levels learners.
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