Run your container, application code, batch job or function on a fully managed container runtime with IBM Cloud® Code Engine
Focus on writing code that serves your customers
IBM Cloud® Code Engine is a fully managed, serverless platform. Bring your container images, batch jobs, source code or function together in one place and let IBM Cloud Code Engine manage and help secure the underlying infrastructure. There's no need to size, deploy or scale container clusters yourself. And no advanced networking skills are required.
Build apps in the language of your choice, then get them in front of customers faster.
Pay for exactly the resources that you use.
No infrastructure management needed with. Your sizing, scaling, and networking are covered.
Serverless fleets provide an easy way to deploy compute-intense workloads efficiently and securely on VMs or GPUs.
Code Engine features
Code Engine automatically scales your workloads up and down, even down to zero when there are no requests. Help meet customer demands while only paying for the resources you consume.
Run it all on a single platform without managing the infrastructure. If you don’t have a container, we’ll build it for your from source code.
Excel at parallel jobs with Serverless Fleets. They automatically spin up, scale and manage a large number of compute resources (including GPUs) to run multiple tasks simultaneously. A fit for AI applications, simulations, and other compute-intensive workloads.
Code Engine use cases
Already have a container image? IBM Cloud Code Engine will deploy, manage and auto scale it for you. No cluster administration, sizing, or overprovisioning worries. You pay only for what you actually use.
Develop in your choice of language and then push your source code to the cloud without worrying about creating or managing containers. Easily connect your code to managed services such as object storage, databases or event streams.
Create your function and then use events to trigger them. Whether thousands of times within a fraction of a second or once a week, they scale to meet demand, then disappear.
Batch jobs are ideal for nonevent-driven processing—such as ETL workloads, simulations, and AI data model processing. Create powerful run-to-completion batch jobs that scale automatically (CPU, memory and execution time) and pay only for the resources you need.
Code Engine case studies
Smart Light used Code Engine as the foundation to create gen AI workflows while improving 50% platform efficiency.