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Knative Serving Autoscaler

dhi.io/knative-autoscaler

Knative Serving Autoscaler

CIS
FIPS
STIG
linux/amd64
linux/arm64

Scales Knative Services in response to request-driven load metrics. The autoscaler is a control-plane component of Knative Serving. It collects per-revision load statistics from the activator and queue-proxies, computes the desired number of pods for each Revision, and drives scaling decisions including scale-to-zero.

Image

pushed 19 hours ago

View image detail
Platforms

linux/amd64, linux/arm64

Size

54.09 MB

for linux/amd64

Packages

187

for linux/amd64

Support

Active support

until Feb 2027

Tools included

-

What's includedWhy it matters
SLSA Provenance

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.

SBOM

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.

VEX

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.

DHI Image Sources

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.

CVEs
0
0
0
2
0

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.

Changelog

Exactly what changed in this build, down to the package bumps and fixes behind the version you're pulling.

Secrets scan

Verifies no keys, tokens, or credentials were accidentally baked into the image.

Virus scan

The image layers were scanned for known malware signatures before publishing.


About the Knative Serving autoscaler

The autoscaler is a component of the Knative Serving control plane. It collects per-revision request metrics reported by the activator and the queue-proxy sidecars, aggregates them over stable and panic windows, and computes the desired number of pods for each Revision. Based on those decisions it scales Revisions up and down, including scaling to zero when a Revision receives no traffic.

Use this image when you need a hardened, minimal container image for running the Knative Serving autoscaler as part of a Knative Serving deployment.

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 near-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

Knativeā„¢ 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.