Easily run containers on the cloud with a single command.
With Serverless Containers, you can rapidly deploy your containers in any language you want. You only have to focus on the design of your applications. Serverless Containers takes care of the execution, responding to the triggers you define.
Serverless Containers simplifies the management of your resources, only using them when they are needed. Reduce operational costs by removing the need for oversized or additional servers to manage traffic on your services.
Managing infrastructure can be complicated, especially when it comes to scaling to handle traffic spikes. Serverless Containers abstracts infrastructure management by adapting the resources according to the traffic, simplifying the operation of your apps.
Using a container workflow, you can build your application in any language while benefiting from serverless technologies.
Using the language and library of your choice, perform regular data processing jobs like ETL or complex analysis using Python’s Pandas and SciPy, R, or Julia.
Easily bring your media processing applications to the cloud using Serverless Containers. For example, reframe videos or process audio file using C++.
You can deploy Container images from any public registry (including Docker Hub).
No infrastructure to manage, no software to update. Your service scales on demand. Serverless Containers deploy the resources needed to handle high demands and reduce them during minimum load.
Leveraging container workflows, Serverless Containers allows you to focus on the design of your services, not the infrastructure.
Choose the domains associated with Serverless Containers and map your services to the domain you need to allocate to your containers.
Integrate triggers to your containers, so your apps run at a specific time, at specified intervals, or simply on demand. With the new private CRON feature, you can now set up CRON jobs on private containers.
Serverless Containers provides a secure-by-default environment by managing all underlying infrastructure, including OS patching and security configurations. Each service runs within a strong sandbox for kernel-level isolation from other workloads. You can use VPC Service Controls to create a security perimeter and use secrets for sensitive data.
Stop struggling with complex migrations: our four-step process makes it easy to move your applications from Kubernetes or Instances to Serverless Containers. Deploy your first service quickly and enjoy the benefits of a simpler architecture.
We offer a new experience with API access, Linux distributions, an intuitive console, and Terraform.
Our user interface was created with developers in mind, to give you the best and most fun experience managing your cloud products
Our cloud products are designed & built to work together, offering you a seamless, world-class cloud experience.
Serverless Containers
To enable quick testing of Serverless Containers, we have added the Quickstart image option, which deploys a sample image to help you test the service.
Additionally, we have worked on several minor improvements for a better user experience:
We have implemented a fix to improve the accuracy of memory usage metrics for Serverless Containers services. This update resolves a previous reporting inconsistency to ensure that metrics more precisely reflect actual resource consumption.
What changed: We refined the underlying calculation used to report memory usage.
What to expect: You may notice that memory metrics in your dashboards and views appear slightly lower than before. This is an expected result of the improved measurement accuracy, and does not indicate a change in your application's actual performance or resource allocation.
Scope: This fix applies exclusively to services using sandbox v2.
No action is required on your part.
The maximum number of environment variables and secret environment variables has been increased from 100 to 200.
Optimizations have been applied to Serverless Containers connected to Private Networks to address significant cold start latency. Startup times have now been reduced.
Scaleway Serverless Containers is a Knative-based service that enables developers to run their web applications or services in the cloud in minutes without having to manage infrastructures. Simply push your image to Scaleway’s Containers Registry and deploy it using Serverless Containers, we take care of the rest.
If you need to deploy your containerized web application or service at a low cost and don’t want to handle even more infrastructure operations, should the service need to handle sporadic traffic then Serverless Containers is for you!.
For now, we recommend that you use Serverless Containers to handle asynchronous tasks (for example media transformation). However, you can also use it for more synchronous tasks (microservice hosting) provided that you define a minimum scale that enables it to mitigate cold start issues.
You can run any containerized web application as long as it listens on the PORT environment variable.
Yes! You can now set up custom domain names rather than using the default address provided by Serverless services. You can map your services to the domain you want to your Functions/Containers.
Unlike an Instance which is billed by the time regardless of usage, Serverless Containers are billed by the millisecond of execution time and the number of requests. We also offer a generous Free Tier every month. This is the most cost-effective model for intermittent or unpredictable workloads, as you pay strictly for the compute time used, eliminating any waste of idle resources.
Yes. Serverless Containers are deeply integrated into the Scaleway ecosystem. You can easily connect your containers to our Managed Databases, Object Storage, or Messaging and Queuing (NATS). Furthermore, you can attach your containers to a VPC (Virtual Private Cloud), allowing them to communicate securely and privately with your other cloud resources without ever exposing traffic to the public internet.
You can find the SLA for this product here
