Menu

Serverless Cloud infrastructure

Build scalable backend without managing cloud infrastructure.

Request a demo

Deploy containers as scalable microservices

Build scalable backend faster and Reduce your Cloud costs

Improve developer productivity

Serverless compute

Deploy any container without managing infrastructure.

Observability integrations

Monitor your workloads with pre-built dashboards or create custom ones.

Programmable deployments

Deploy programmatically from any CI/CD tool.

Local debugging

Debug your code locally before deploying to your cluster.

HTTP and gRPC

Expose APIs as HTTP or gRPC endpoints.

Traffic splitting

Configure A/B tests and shadow pipelines.

Common use cases

Realtime model serving

Deploy machine learning models as realtime HTTP or gRPC APIs and seamlessly scale inference across CPU or GPU instances.

Image, video, and audio processing

Build data processing pipelines that can scale to handle large structured or unstructured data sets.

Compute-intensive microservices

Deploy web scraping, file processing, and other compute-intensive workloads without managing instances, autoscaling groups, or load balancers.

Machine learning operations (MLOps)

Create services that continuously retrain and evaluate models to maintain their accuracy over time. Then update APIs to use the latest models.