Easily run batches of tasks in the cloud.
Easily set the duration time and the compute performance requirement for your Jobs, and launch them within minutes. Whether tackling simple tasks or complex scenarios, focus on the execution without the hassle of managing the underlying infrastructure.
Integrated within our cloud ecosystem, you can create and manage Jobs that seamlessly interact with our suite of solutions including Managed Database, Storage, Compute, and other Serverless products. Enjoy the full potential of your cloud-based workflows.
Specify your computing requirements, including memory and vCPU, for all your job needs. You can determine the level of performance you need and the pace you desire. This way, you retain full control over your costs.
Serverless Jobs is a fully managed solution that enables you to plan, schedule, queue and run batch processing workloads without worrying about provisioning and scaling.
Transform, load, and normalize data from diverse sources and formats to simplify and ease all subsequent data-related operations.
Launch the training job as a background process by running code for training or creating a new model. Automate its deployment in a testing or production environment for seamless integration.
When a user uploads new content via a web interface, an automated Job is triggered. This job includes a range of tasks such as video encoding, audio transcoding, image manipulation, metadata extraction, and storage, depending on the service provided.
Deploy jobs directly from a Docker image hosted on any public registry, including Docker Hub or Scaleway Registry
Run jobs on your terms – at specific times, intervals, or on-demand. Trigger job execution in response to events. Discover additional use cases integrated with Scaleway Messaging & Queueing.
Leave infrastructure management and software updates to us. Say goodbye to the complexities of managing your job execution backend.
No need for a web server – just deploy a containerized script to launch your job.
Accelerate the overall execution speed by running a large number of tasks simultaneously. Tailor computer resources to your specific needs.
Natively integrated into the Scaleway ecosystem, easily trigger your Jobs using the Scaleway API.
Check the pricing for the Serverless Jobs.
Serverless Jobs
The Serverless Jobs API changed from v1alpha1 to v1alpha2, and now offers new features:
command field has been upgraded to startup_command and args for improved flexibility and more use casesreason field was added to give more context about how a job is terminatedFor more details about the changes, read our dedicated documentation.
Serverless Jobs now offers a list of injected environment variables to help you build automation faster. New variables are using SCW_SLS prefix. Read more.
Below is a list of improvements on your Serverless Jobs from the Scaleway console:
While both services are serverless and container-based, the difference lies in the execution model. Serverless Containers are designed for request-driven applications (like web APIs) that stay "warm" to handle incoming HTTP traffic. Serverless Jobs, on the other hand, are designed for task-oriented workloads that run to completion and then stop. Use Jobs for batch processing, data migration, or heavy computations where you don’t need an active HTTP listener, but rather a dedicated execution of a specific command.
Serverless Jobs are ideal for any short-lived, automated task. Common use cases include:
Scaleway Serverless Jobs follows a strict pay-as-you-go model, making it highly cost-effective. You are billed based on the resources allocated (CPU and RAM) and the exact duration of the execution, rounded to the nearest tenth of a second. There are no costs for idle time; if your job isn't running, you aren't paying. This makes it a significantly cheaper alternative to keeping a dedicated Instance running for periodic tasks.
Flexibility is key to automation. You can trigger Serverless Jobs in several ways:
Yes. Scaleway Serverless Jobs is built on open standards and is fully compatible with OCI-compliant container images. You can pull your images directly from the Scaleway Container Registry or any other public registry. If your workload runs in a containe it can run on Scaleway Serverless Jobs with little to no modification to your code, allowing for a seamless multi-cloud or migration strategy.