Cloud Tasks

Asynchronous task execution.

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Distributed task queues

Distributed task queues

Cloud Tasks is a fully managed service that allows you to manage the execution, dispatch, and delivery of a large number of distributed tasks. Using Cloud Tasks, you can perform work asynchronously outside of a user or service-to-service request.

Build more responsive applications

Asynchronous execution is a well-established way to reduce request latency and make your application more responsive. Cloud Tasks allows you to organize and control those requests with features like scheduling, deduplication, configurable retry policies, and version redirection.

Decouple and scale microservices

Cloud Tasks helps you better structure and scale your application: Implementing task handlers in dedicated services allows microservices to scale independently.

Manage resource consumption

Cloud Tasks helps you better control and smooth the load on your services by rate limiting your queues. It helps you easily manage the execution, dispatch, and delivery of your distributed tasks.

Handle releases and incidents gracefully

Cloud Tasks allows you to preserve your requests in flight. Pausing, retrying, or redirecting to a new version can give you room to handle a bug or stage a deployment without dropping requests.


Scalable and fully managed

Build on the same fully managed service that powers our biggest customers.

HTTP targets

Add tasks targeting any HTTP service running on Compute Engine, Google Kubernetes Engine, Cloud Run, Cloud Functions or on-premises systems in a secure fashion using industry standard OAuth/OICD authentication.

Rate and retry controls

Control the execution by setting the rate at which tasks are dispatched, the maximum number of attempts, and the minimum amount of time to wait between attempts.

Task deduplication

Tasks added multiple times will only be dispatched once.

Dashboard and command line interfaces

Manage, monitor, and inspect your queues and tasks from the Cloud Console interface of the gcloud command line.

Future scheduling

Control the time at which a task is run.

Guaranteed delivery

Cloud Tasks guarantees at-least-once delivery and most tasks are delivered exactly once.

Popular languages

Use client libraries in Java, Python, Node.js, PHP, and Go. Or enqueue tasks using the REST API from any language and anywhere.

Cloud Tasks allow us to focus on the core requirements of the application we’re developing, instead of other utility requirements. We’ve been using Cloud Tasks extensively: From handling high volumes of notifications between applications which reside on different platforms, to data ingestion/migration tasks and the delegation, trigger, or control of workloads. After using Cloud Tasks, our development velocity has been given a significant boost and overall architecture simplified.

Jonathan Liversidge, IT Director, A1 Comms

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Cloud Tasks