dhi.io/kubeflow-pipelines-metadata-writer
Kubeflow Pipelines - Metadata Writer
The Kubeflow Pipelines Metadata Writer handles pipeline execution metadata in the Kubeflow Pipeline ecosystem.
pushed 2 days ago
linux/amd64
47.97 MB
for linux/amd64
139
for linux/amd64
Active support
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Build Level 3
Tamper-evident proof of how and from what sources this image was built. Build Level 3 is the highest the SLSA build track defines.
CycloneDX SBOM + SPDX SBOM
A software bill of materials in both CycloneDX and SPDX formats so it drops straight into your existing tooling. Audit exactly what you're shipping.
A Vulnerability Exploitability exchange document, Docker's assessment of which CVEs actually affect this image and which don't apply, so you can focus on real risk instead of chasing false positives.
Available
A link to everything used to build the image, package source code, Git repos, and build files, so you can audit or reproduce the build and stay compliant with open source licenses.
Every known vulnerability in this image, shown in full rather than hidden. The VEX data flags which ones actually apply, so you can tell real exposure from noise before you ship.
Exactly what changed in this build, down to the package bumps and fixes behind the version you're pulling.
Verifies no keys, tokens, or credentials were accidentally baked into the image.
The image layers were scanned for known malware signatures before publishing.
About Kubeflow Pipelines Metadata Writer
The Kubeflow Pipelines Metadata Writer is a Python service responsible for collecting, processing, and writing pipeline execution metadata to the ML Metadata (MLMD) store. This component is a critical part of the Kubeflow Pipelines ecosystem, enabling lineage tracking, artifact management, and execution history for machine learning workflows.
The metadata writer captures information about pipeline runs, component executions, input/output artifacts, and their relationships, providing a comprehensive audit trail for ML experiments and model development workflows.
Key Features
- Execution Tracking: Records pipeline run status, timing, and execution context
- Artifact Management: Tracks input and output artifacts with their lineage
- Metadata Storage: Writes structured metadata to ML Metadata store for querying and analysis
- Pipeline Lineage: Maintains relationships between pipeline components and their data flow
About Docker Hardened Images
Docker Hardened Images are built to meet the highest security and compliance standards. They provide a trusted foundation for containerized workloads by incorporating security best practices from the start.
Why use Docker Hardened Images?
These images are published with zero-known CVEs, include signed provenance, and come with a complete Software Bill of Materials (SBOM) and VEX metadata. They're designed to secure your software supply chain while fitting seamlessly into existing Docker workflows.
Trademarks
KubeFlow® is a trademark of the Linux Foundation. All rights in the mark are reserved to the Linux Foundation. Any use by Docker is for referential purposes only and does not indicate sponsorship, endorsement, or affiliation.