Compute Engine
Definition
Google Cloud's virtual machine service that provides scalable, high-performance virtual machines, ideal for running diverse workloads seamlessly.
Use Cases
- Spotify: Running backend services and batch workloads on virtual machines for performance and operational control. — Spotify has publicly discussed using Google Cloud, including Compute Engine, to run parts of its infrastructure. Teams can provision VM instances with appropriate machine types, use managed instance groups for scaling, and integrate with Google Cloud networking and monitoring. (Improved ability to scale services globally and operate workloads with more flexibility in infrastructure configuration.)
- Snap Inc. (Snapchat): Handling large-scale compute needs for consumer application backends and supporting services. — Snap has publicly stated it uses Google Cloud as a major infrastructure provider. Compute Engine can be used to run VM-based services, scale fleets with instance groups, and connect to other Google Cloud services for storage, networking, and observability. (Supports rapid scaling to meet user demand and helps operate services across multiple regions for availability.)
Provider Equivalents
- AWS: Amazon EC2
- Azure: Azure Virtual Machines
- GCP: Compute Engine
- OCI: OCI Compute
Frequently Asked Questions
- What's the difference between Compute Engine and Google Kubernetes Engine (GKE)?
- Compute Engine gives you virtual machines that you manage (OS updates, packages, services). GKE is a managed Kubernetes service for running containers; it automates much of the cluster management and is usually better for microservices and containerized apps. Use Compute Engine when you need full VM control or run software that isn’t containerized.
- When should I use Compute Engine?
- Use Compute Engine when you need customizable VMs (specific CPU/RAM), control over the operating system, or to run traditional workloads like web servers, game servers, databases (self-managed), CI runners, or specialized software. It’s also a good fit when you need predictable performance, custom networking, or GPU-enabled instances for ML and rendering.
- How much does Compute Engine cost?
- Cost depends on the machine type (vCPU/RAM), how long the VM runs, the region/zone, attached storage (persistent disks), network egress, and any accelerators like GPUs. Pricing is typically per-second (with a minimum billing period), and you can reduce cost with committed use discounts, sustained use discounts (where applicable), and by using preemptible/Spot VMs for fault-tolerant workloads.
Category: compute
Difficulty: intermediate
Related Terms
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