README
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Containers as a service on AWS
Deploy, manage, and scale containers without worrying about Kubernetes.
Serverless workloads
Realtime - respond to requests in real-time and autoscale based on in-flight request volumes.
Async - process requests asynchronously and autoscale based on request queue length.
Batch - run distributed and fault-tolerant batch processing jobs on-demand.
Automated cluster management
Autoscaling - elastically scale clusters with CPU and GPU instances.
Spot instances - run workloads on spot instances with automated on-demand backups.
Environments - create multiple clusters with different configurations.
CI/CD and observability integrations
Provisioning - provision clusters with declarative configuration or a Terraform provider.
Metrics - send metrics to any monitoring tool or use pre-built Grafana dashboards.
Logs - stream logs to any log management tool or use the pre-built CloudWatch integration.
Built for AWS
EKS - Cortex runs on top of EKS to scale workloads reliably and cost-effectively.
VPC - deploy clusters into a VPC on your AWS account to keep your data private.
IAM - integrate with IAM for authentication and authorization workflows.
Directories
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| Path | Synopsis |
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cmd
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pkg
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crds/apis/batch/v1alpha1
Package v1alpha1 contains API Schema definitions for the batch v1alpha1 API group +kubebuilder:object:generate=true +groupName=batch.cortex.dev
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Package v1alpha1 contains API Schema definitions for the batch v1alpha1 API group +kubebuilder:object:generate=true +groupName=batch.cortex.dev |