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KServe LocalModel Controller

dhi.io/kserve-localmodel-controller

KServe LocalModel Controller

CIS
linux/amd64
linux/arm64

Enables local model caching and management.

How to use this image

All examples in this guide use the public image. If you’ve mirrored the repository for your own use (for example, to your Docker Hub namespace), update your commands to reference the mirrored image instead of the public one.

For example:

  • Public image: dhi.io/<repository>:<tag>
  • Mirrored image: <your-namespace>/dhi-<repository>:<tag>

For the examples, you must first use docker login dhi.io to authenticate to the registry to pull the images.

What's included in this KServe LocalModel Controller Hardened Image

This Docker Hardened KServe LocalModel Controller image includes the LocalModel controller component from KServe. The LocalModel controller manages cluster-wide local model caching and storage, coordinating the efficient caching of machine learning models across the cluster. It handles model loading, caching, and cleanup operations to improve inference startup times and optimize storage resource utilization.

Start a KServe LocalModel Controller instance

The KServe LocalModel Controller is typically deployed as part of a KServe installation in Kubernetes. To run it standalone for testing, use the following command:

docker run --name kserve-localmodel-controller \
  -p 8080:8080 -p 8081:8081 -p 9443:9443 \
  dhi.io/kserve-localmodel-controller:<tag>

Note: The controller requires access to a Kubernetes cluster API to function properly. When running standalone without cluster access, it will start and attempt to connect but will fail gracefully.

Non-hardened images vs Docker Hardened Images

Key differences
FeatureNon-hardened KServe LocalModel ControllerDocker Hardened KServe LocalModel Controller
SecurityStandard base with common utilitiesMinimal, hardened base with security patches
Shell accessFull shell (bash/sh) availableNo shell in runtime variants
Package managerapt/apk availableNo package manager in runtime variants
UserRuns as root by defaultRuns as nonroot user
Attack surfaceLarger due to additional utilitiesMinimal, only essential components
DebuggingTraditional shell debuggingUse Docker Debug or Image Mount for troubleshooting
Why no shell or package manager?

Docker Hardened Images prioritize security through minimalism:

  • Reduced attack surface: Fewer binaries mean fewer potential vulnerabilities
  • Immutable infrastructure: Runtime containers shouldn't be modified after deployment
  • Compliance ready: Meets strict security requirements for regulated environments

The hardened images intended for runtime don't contain a shell nor any tools for debugging. Common debugging methods for applications built with Docker Hardened Images include:

  • Docker Debug to attach to containers
  • Docker's Image Mount feature to mount debugging tools
  • Ecosystem-specific debugging approaches

Docker Debug provides a shell, common debugging tools, and lets you install other tools in an ephemeral, writable layer that only exists during the debugging session.

For example, you can use Docker Debug:

docker debug <image-name>

or mount debugging tools with the Image Mount feature:

docker run --rm -it --pid container:my-container \
  --mount=type=image,source=dhi.io/busybox,destination=/dbg,ro \
  dhi.io/kserve-localmodel-controller:<tag> /dbg/bin/sh

Image variants

Docker Hardened Images come in different variants depending on their intended use.

Runtime variants are designed to run your application in production. These images are intended to be used either directly or as the FROM image in the final stage of a multi-stage build. These images typically:

  • Run as the nonroot user
  • Do not include a shell or a package manager
  • Contain only the minimal set of libraries needed to run the app

Build-time variants typically include dev in the variant name and are intended for use in the first stage of a multi-stage Dockerfile. These images typically:

  • Run as the root user
  • Include a shell and package manager
  • Are used to build or compile applications

Migrate to a Docker Hardened Image

Switching to the hardened KServe LocalModel Controller image does not require any special changes. You can use it as a drop-in replacement for the standard KServe LocalModel Controller image in your existing Kubernetes deployments and configurations. Note that the entry point for the hardened image may differ from the standard image, so ensure that your commands and arguments are compatible.

Migration steps
  1. Update your image reference.

    Replace the image reference in your Kubernetes manifests or Helm values, for example:

    • From: kserve/kserve-localmodel-controller:<tag>
    • To: dhi.io/kserve-localmodel-controller:<tag>
  2. All your existing command-line arguments, environment variables, port mappings, and network settings remain the same.

  3. Test your migration and use the troubleshooting tips below if you encounter any issues.

Troubleshooting migration

General debugging

The hardened images intended for runtime don't contain a shell nor any tools for debugging. The recommended method for debugging applications built with Docker Hardened Images is to use Docker Debug to attach to these containers. Docker Debug provides a shell, common debugging tools, and lets you install other tools in an ephemeral, writable layer that only exists during the debugging session.

Permissions

By default image variants intended for runtime, run as the nonroot user. Ensure that necessary files and directories are accessible to the nonroot user. You may need to copy files to different directories or change permissions so your application running as the nonroot user can access them.

Privileged ports

Non-dev hardened images run as a nonroot user by default. As a result, applications in these images can't bind to privileged ports (below 1024) when running in Kubernetes or in Docker Engine versions older than 20.10.

No shell

By default, image variants intended for runtime don't contain a shell. Use dev images in build stages to run shell commands and then copy any necessary artifacts into the runtime stage. In addition, use Docker Debug to debug containers with no shell.

Entry point

Docker Hardened Images may have different entry points than images such as Docker Official Images. Use docker inspect to inspect entry points for Docker Hardened Images and update your Dockerfile if necessary.