Google Compute Engine

About Google Compute Engine

Offers virtual machines running in Google's innovative data centers and worldwide fiber network. Provides predefined and custom machine types, sustained use discounts, and per-second billing. Ideal for compute-intensive workloads, batch processing, and running distributed data processing frameworks like Spark and Hadoop.

Key Features

• 1Predefined and custom VM machine types from micro to high-memory configurations
• 2Preemptible and Spot VMs for up to 91% cost reduction on batch workloads
• 3Sustained use discounts applied automatically for long-running VMs
• 4Per-second billing for compute resources with no minimum commitment
• 5Integration with GCS, BigQuery, Cloud Pub/Sub, and the full GCP ecosystem

How Python Data Engineers Use Google Compute Engine

Python data engineers provision and manage Google Compute Engine VMs using the google-cloud-compute Python library or Terraform. GCE is used to run self-hosted data engineering tools like Apache Airflow, Spark clusters, and PostgreSQL databases on managed VMs. Engineers use Preemptible VMs for cost-efficient batch processing jobs and custom machine types to right-size compute for memory-intensive transformation workloads.