dhi.io/data-prepper
Data Prepper
Server-side data collector for trace, log, and metric pipelines that filter, enrich, transform, and aggregate observability data for OpenSearch.
pushed 2 days ago
linux/amd64, linux/arm64
454.21 MB
for linux/amd64
809
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 Data Prepper
OpenSearch Data Prepper is a server-side data collector that receives, filters, transforms, enriches, and routes observability data (traces, logs, and metrics) before delivering it to OpenSearch or other sinks. It is built around a pipeline model: each pipeline connects one or more sources (OpenTelemetry, HTTP, S3, Kafka, and more) through a chain of processors to one or more sinks, making it straightforward to normalize high-volume telemetry at scale. Data Prepper is a core component of the OpenSearch observability stack and ships as part of the OpenSearch Project.
The Docker Hardened Data Prepper image ships the upstream-maintained 2.x release line (currently 2.15.1). The image
includes gettext-base (envsubst) for rendering ${VAR} placeholders in pipeline configuration files at container
startup, supporting templated pipeline deployments. Customers running older 2.x point releases (for example, 2.8.0)
should migrate to the current patch to benefit from upstream fixes and continued CVE coverage.
Security notice: The image ships a default
data-prepper-config.yamlthat enables SSL with a self-signedkeystore.p12and HTTP basic authentication with the usernameadminand passwordadmin. These defaults are intended for initial evaluation only. Before deploying to any non-development environment, replace the keystore with a certificate signed by a trusted CA and change the authentication credentials.
For more information about Data Prepper, visit https://opensearch.org.
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
All third-party product names and marks referenced here are the property of their respective owners. Any use by Docker is for referential purposes only and does not indicate sponsorship, endorsement, or affiliation.