Bringing serverless to containers
Cloud Run is a managed compute platform that automatically scales your stateless containers. Cloud Run is serverless: it abstracts away all infrastructure management, so you can focus on what matters most — building great applications. Run your containers in fully managed Cloud Run, or on Cloud Run for Anthos. Anthos supports GKE on Google Cloud, on-premises and multi-cloud environments. Cloud Run is built from Knative, ensuring that your applications are built on an open standard.
Container to production in seconds
Many serverless platforms add constraints around support for languages, libraries, or even restrict the way you code. Cloud Run enables you to write code your way by allowing you to easily deploy any stateless containers that listen for requests or events delivered via HTTP. Containers offer flexibility and portability of workloads. With Cloud Run, you can build great applications in your favorite language, with your favorite dependencies and tools, and deploy them in seconds.
Cloud Run enables you to run request or event-driven stateless workloads without having to worry about servers. It abstracts away all infrastructure management such as provisioning, configuring, and managing servers, so you focus only on writing code. It automatically scales up and down from zero depending on traffic almost instantaneously, so you don't have to worry about scale configuration ever. Cloud Run also charges you only for the resources you use (calculated down to the nearest 100 milliseconds), so you will never have to pay for your over-provisioned resources.
One experience, where you want it
Deploy your stateless containers to a fully managed environment or to Anthos, all with a consistent developer experience. This common experience is enabled by Knative, an open API and runtime environment built on Kubernetes. Cloud Run gives you the freedom to move your workloads to different environments and platforms: fully managed on GCP, on-premises, on Google Cloud, or on third-party clouds via Anthos.
Any language, any library, any binary
Use the programming language of your choice, any language or operating system libraries, or even bring your own binaries.
Leverage container workflows and standards
Simple developer experience
A simple command-line and user interface to quickly deploy and manage your services.
No infrastructure to manage: once deployed, Cloud Run manages your services so you can sleep well.
Cloud Run automatically scales up or down from zero to N depending on traffic.
Cloud Run services are regional, automatically replicated across multiple zones.
Integrated logging and monitoring
Out-of-the-box integration with Stackdriver Monitoring, Logging, and Error Reporting to ensure the health of an application.
Process web traffic or asynchronous events
Expose Cloud Run services publicly to receive web requests or invoke them privately via asynchronous events, for example messages pushed by Cloud Pub/Sub.
Built on Knative
Cloud Run is built on the Knative open-source project, enabling portability of your workloads across platforms.
Each Cloud Run service gets an out-of-the-box stable HTTPS endpoint, with TLS termination handled for you.
Map your services to your own domains.
Choose the platform that fits you
Cloud Run gives you the flexibility to run services on a fully managed environment or on Anthos. If you’re already using Anthos, Cloud Run can easily deploy into your Anthos GKE cluster. Plus, you can easily switch from Cloud Run to Cloud Run for Anthos — or vice versa — all without changing your application code.
Cloud Run (fully managed)
The Cloud Run fully managed platform allows you to deploy stateless containers without having to worry about the underlying infrastructure. Your workloads are automatically scaled up or down to zero depending on the traffic to your app. You only pay when your app is running, billed to the nearest 100th millisecond.
Cloud Run for Anthos
Cloud Run for Anthos abstracts away complex Kubernetes concepts, allowing developers to easily leverage the benefits of Kubernetes and serverless together. It provides access to custom machine types, additional networking support, and Cloud Accelerators. It allows you to run your workloads on-premises or on Google Cloud.
Cloud Run (fully managed)
Cloud Run for Anthos
|Pricing||Pay-per-use (see below).||Included as part of Anthos.|
|Machine types||One vCPU per instance with ability to change memory.||Standard or custom machine types on Anthos, including GPUs.|
|Autoscaling||Up to 1,000 container instances, which can be increased via GCP Support.||Limited by the capacity of your Anthos GKE cluster.|
|Identity and policy||Manage the identities that are allowed to invoke each service (or allow unauthenticated invocations).||Publish services to the internet or make them available to cluster or VPC network only.|
|Networking||No access to VPC / Compute Engine network. Services are not part of the Istio service mesh.||Access to VPC / Compute Engine network. Services participate in the Istio service mesh.|
|URLs||Automatic service URLs and SSL certificates.||Custom domains only with manual SSL certificates.|
|Container isolation||Strict container isolation based on gVisor sandbox.||Default Kubernetes container isolation.|
|Execution environments||Fully managed on Google infrastructure.||Anthos on Google Cloud
Anthos deployed on VMware (on-premises).
$0.40 per million
egress within North America
Cloud Run for Anthos pricing
Cloud Run for Anthos is included as part of Anthos pricing.
Google Cloud Run allows us to access, process and serve large amounts of imagery data stored in Google Cloud Storage, with the freedom to use our own custom toolchains and without having to worry about scaling the service to the realtime load.Thomas Bonfort, R&D Earth Observation Software Engineer, Airbus
Cloud Run removes the barriers of managed platforms by giving us the freedom to run our custom workloads at lower cost on a fast, scalable and fully managed infrastructure. Our development team benefits from a great developer experience without limits and without having to worry about anything.Hervé Dumas, Group Chief Technology Officer, Veolia
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