Rust on GCP

Instructor: Noah Gift

Included with

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8 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

8 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Build a Rust handler that reads from Cloud Storage, queries BigQuery via REST or Storage Read API, and deploys to Cloud Run
Apply Pub/Sub push subscriptions with content-hash idempotency keys and concurrency × max-instances backpressure caps
Gate Rust GCP services on cargo-audit, cargo-deny, and GitHub Actions CI with secure-by-design defaults from the first commit

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There are 8 modules in 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.

The three properties Rust gives you on Google Cloud — predictable latency, tiny containers, and honest errors — and how the GCP analytics services compose into ingest-transform-serve pipelines.

What's included

4 videos8 readings

4 videosTotal 17 minutes

Why Rust on Google Cloud3 minutes
Onboarding to Google Cloud8 minutes
Google Cloud Analytics Services3 minutes
Data Engineering Pipelines on GCP3 minutes

8 readingsTotal 80 minutes

Key Terms: Why Rust on Google Cloud10 minutes
Reflection: Why Rust on Google Cloud10 minutes
Key Terms: Onboarding to Google Cloud10 minutes
Reflection: Onboarding to Google Cloud10 minutes
Key Terms: Google Cloud Analytics Services10 minutes
Reflection: Google Cloud Analytics Services10 minutes
Key Terms: Data Engineering Pipelines on GCP10 minutes
Reflection: Data Engineering Pipelines on GCP10 minutes

The browser-hosted developer environment that ships pre-wired with gcloud, plus the local CLI install for engineers who want the same tools on their own machine.

What's included

4 videos8 readings

4 videosTotal 21 minutes

Demo: Google Cloud Shell4 minutes
Demo: Cloud Shell Editor5 minutes
Demo: Installing the Google Cloud CLI SDK6 minutes
Demo: gcloud Command-Line Tool5 minutes

8 readingsTotal 80 minutes

Key Terms: Demo — Google Cloud Shell10 minutes
Reflection: Demo — Google Cloud Shell10 minutes
Key Terms: Demo — Cloud Shell Editor10 minutes
Reflection: Demo — Cloud Shell Editor10 minutes
Key Terms: Demo — Installing the Google Cloud CLI SDK10 minutes
Reflection: Demo — Installing the Google Cloud CLI SDK10 minutes
Key Terms: Demo — gcloud Command-Line Tool10 minutes
Reflection: Demo — gcloud Command-Line Tool10 minutes

Buckets, storage classes, and lifecycle rules — and the Rust client patterns (streaming uploads, resumable sessions, ADC) that consume them efficiently from a tokio runtime.

What's included

4 videos8 readings

4 videosTotal 14 minutes

Cloud Storage Strategy4 minutes
Overview: GCP Storage Options2 minutes
Storage Comparison4 minutes
Rust Cloud Storage Client Patterns4 minutes

8 readingsTotal 80 minutes

Key Terms: Cloud Storage Strategy10 minutes
Reflection: Cloud Storage Strategy10 minutes
Key Terms: Overview — GCP Storage Options10 minutes
Reflection: Overview — GCP Storage Options10 minutes
Key Terms: Storage Comparison10 minutes
Reflection: Storage Comparison10 minutes
Key Terms: Rust Cloud Storage Client Patterns10 minutes
Reflection: Rust Cloud Storage Client Patterns10 minutes

The two BigQuery APIs Rust services use — REST jobs.query for small JSON results and the Storage Read API for million-row Arrow scans — and the prompt-engineering pattern for ML.GENERATE_TEXT.

What's included

3 videos6 readings

3 videosTotal 26 minutes

BigQuery and Prompt Engineering10 minutes
Exploring Data in BigQuery13 minutes
BigQuery from Rust: REST and Storage Read3 minutes

6 readingsTotal 60 minutes

Key Terms: BigQuery and Prompt Engineering10 minutes
Reflection: BigQuery and Prompt Engineering10 minutes
Key Terms: Exploring Data in BigQuery10 minutes
Reflection: Exploring Data in BigQuery10 minutes
Key Terms: BigQuery from Rust — REST and Storage Read10 minutes
Reflection: BigQuery from Rust — REST and Storage Read10 minutes

Volume, velocity, and cost trade-offs for big data on GCP, the three-zone (raw / transform / serving) pipeline pattern, and how GCE, GKE, Cloud Run, App Engine, and Cloud Functions each fit the trigger model.

What's included

5 videos10 readings

5 videosTotal 21 minutes

Big Data Challenges2 minutes
Building Data Pipelines3 minutes
Compare Compute Offerings3 minutes
Demo: Extending a Cloud Function10 minutes
Data Pipeline Triggers3 minutes

10 readingsTotal 100 minutes

Key Terms: Big Data Challenges10 minutes
Reflection: Big Data Challenges10 minutes
Key Terms: Building Data Pipelines10 minutes
Reflection: Building Data Pipelines10 minutes
Key Terms: Compare Compute Offerings10 minutes
Reflection: Compare Compute Offerings10 minutes
Key Terms: Demo — Extending a Cloud Function10 minutes
Reflection: Demo — Extending a Cloud Function10 minutes
Key Terms: Data Pipeline Triggers10 minutes
Reflection: Data Pipeline Triggers10 minutes

Distroless containers, Cloud Run deploys from source or image, App Engine Flex with custom runtimes, and the Pub/Sub push pattern for idempotent ETL handlers with concurrency-bounded backpressure.

What's included

4 videos8 readings

4 videosTotal 18 minutes

What is Distroless?3 minutes
Demo: Rust Microservice on Cloud Run7 minutes
Demo: Rust on App Engine Flex5 minutes
Cloud Run for Rust ETL Workers3 minutes

8 readingsTotal 80 minutes

Key Terms: What is Distroless?10 minutes
Reflection: What is Distroless?10 minutes
Key Terms: Demo — Rust Microservice on Cloud Run10 minutes
Reflection: Demo — Rust Microservice on Cloud Run10 minutes
Key Terms: Rust on App Engine Flex10 minutes
Reflection: Rust on App Engine Flex10 minutes
Key Terms: Cloud Run for Rust ETL Workers10 minutes
Reflection: Cloud Run for Rust ETL Workers10 minutes

cargo-audit and cargo-deny against the RustSec advisory database, the secure-by-design properties Rust enforces at compile time, GitHub Actions matrix builds, and the energy-efficiency case for Rust over Python at scale.

What's included

5 videos10 readings

5 videosTotal 29 minutes

Rust Crate Audits3 minutes
Rust Secure-by-Design5 minutes
Continuous Integration: Rust on GitHub Actions8 minutes
Demo: Unit Testing Rust7 minutes
Energy Efficiency: Python vs Rust6 minutes

10 readingsTotal 100 minutes

Key Terms: Rust Crate Audits10 minutes
Reflection: Rust Crate Audits10 minutes
Key Terms: Rust Secure-by-Design10 minutes
Reflection: Rust Secure-by-Design10 minutes
Key Terms: Continuous Integration — Rust on GitHub Actions10 minutes
Reflection: Continuous Integration — Rust on GitHub Actions10 minutes
Key Terms: Demo — Unit Testing Rust10 minutes
Reflection: Demo — Unit Testing Rust10 minutes
Key Terms: Energy Efficiency — Python vs Rust10 minutes
Reflection: Energy Efficiency — Python vs Rust10 minutes

Where to go after this course — the next courses in the specialization and a production playbook for the Rust-on-GCP pattern.

What's included

1 video2 readings1 assignment

Instructor

Noah Gift

Pragmatic AI Labs

39 Courses2,748 learners

Offered by

Pragmatic AI Labs

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