CloudRun logo

CloudRun

by Google · Since 2019
No reviews yet
ActiveAvailable globally
Quick facts
VendorGoogle
Year launched2019
StatusActive
LocationGoogle 1600 Amphitheatre Parkway Mountain View, CA 94043 USA
Countries servedGlobal
Languages10
Integrations
Free tier
Free trial
Contact sales

About CloudRun

Google delivers CloudRun as a software platform focused on operational efficiency. Product details are not fully accessible online; contact the vendor for current feature lists. Key capabilities: Core workflow management Data export and backup Configurable settings and roles Reporting and visibility Integration support Best for: teams looking to standardize workflows and reduce manual coordination.

Google Cloud Run is a fully managed serverless container platform that enables developers to build, deploy, and scale applications quickly without managing infrastructure. It combines the flexibility of containers with the simplicity of serverless computing, allowing teams to focus purely on writing code while Google handles provisioning, scaling, and operations. Applications can be deployed from containers or directly from source code using automated buildpacks, supporting popular languages such as Go, Node.js, Python, Java, .NET, and Ruby. One of Cloud Run’s strongest advantages is its pay-per-use pricing model, where users only pay when their code is actively running. The platform automatically scales services up and down from zero, making it highly cost-efficient for workloads with variable or unpredictable traffic. With support for deployment across more than 20 regions, Cloud Run is well-suited for global applications requiring low latency and high availability. The inclusion of on-demand NVIDIA L4 GPUs further extends its capabilities, enabling real-time AI inference workloads and hosting of large language models.

Pros & Cons

What users like
  • +Highly scalable with automatic scaling and scale-to-zero.
  • +No infrastructure management required.
  • +Cost-efficient pay-only-when-running pricing model.
  • +Supports modern workloads including AI and LLMs.
  • +Easy deployment from source code or containers.
What users flag
  • Cold start latency can occur for infrequently used services.
  • Limited control compared to self-managed Kubernetes.
  • Advanced configurations may require Google Cloud expertise.
  • Costs can increase quickly with sustained high traffic.

Features

Key features

Fully managed serverless containers – run applications without managing servers or clusters
Autoscaling from zero – scales up on demand and down to zero when idle
Pay-per-use pricing – charges only while code is executing
Multi-language support – works with any language, framework, or binary
Global deployment – deploy applications across 20+ regions simultaneously

Additional features

Container-based execution – runs any containerized workload
Source-based deployment – builds containers automatically from source code
Fast autoscaling – supports event-driven, long-running, and job-based workloads
GPU support – on-demand NVIDIA L4 GPUs for AI inference
LLM hosting – runs large language models and AI inference workloads
Cloud Run functions – deploy functions with full service configuration control
Web application hosting – deploy frontend and backend services
API & microservices support – REST, GraphQL, gRPC, and WebSockets
Batch job execution – supports cron jobs and parallel processing
Streaming & event processing – integrates with Pub/Sub and Eventarc
CI/CD integration – automated builds and deployments from Git repositories
Security & isolation – runs on Google’s secure, scalable infrastructure
Free tier availability – includes monthly free CPU, memory, and requests

Pricing

Free trial
Free version
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Countries & Languages

Global
Countries served
10
Interface languages
11
Billing currencies

Interface languages

EnglishSpanishFrenchItalianGermanPortugueseDutchJapaneseChineseKorean

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇦🇺AUD🇨🇦CAD🇯🇵JPY🇨🇭CHF🇨🇳CNY🇰🇷KRW🇮🇳INR🇷🇺RUB

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