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Latest Chainguard Images: FIPS, Harbor stack, Apache, and more!

Jordi Mon Companys, Senior Product Marketing Manager

TL;DR

  • We've added 57 new Chainguard Images that are now available.

  • Many of these new Images work seamlessly with popular Bitnami tools for easy installation.

  • We've also considerably broadened our Apache, Jitsu, and Harbor stacks.

  • More than half of the latest Image releases are FIPS compliant, totaling almost 300 FIPS-validated Images.

Welcome to our monthly roundup of the latest hardened, minimal container image releases from Chainguard. Chainguard Images are minimal, hardened container images with low-to-no CVEs. Day by day, month by month, we are continuously adding to our inventory to enable a safe source for open source.

At present, we have more than 700 different open source projects bundled in minimal container images that you can browse through in our Public Directory. Many of them are application images you can stand up in a given OCI compliant runtime, but we also have language frameworks, base images, and many, many more.

With our latest Chainguard Image releases, we are excited to introduce a range of carefully crafted and hardened container images designed to elevate the security and efficiency of your applications and container-based workloads. Each new Image has been curated to minimize Common Vulnerabilities and Exposures (CVEs) and fortify your software supply chain.

Our engineering team focuses on critical components and popular technologies, so our latest releases offer a powerful arsenal of tools to enhance your security posture and streamline your development process.

New Chainguard Images highlights

Staying current with the latest container images is crucial for maintaining a secure, high-performing, and innovative software ecosystem. Let's take a closer look at some of the standout releases this month.

Apache stack — Apache Airflow, Apache Superset, Apache Zookeeper, and Apache Nifi:

  • Overview: We've released hardened images for Apache Airflow (35k+ GitHub stars), Apache Superset (60k+ stars), Apache Zookeeper (12k stars), and Apache Nifi (5k stars) All of them popular open source platforms for data, stream, and more.

  • What's new: These images are optimized for security and performance, allowing users to leverage the power of a considerable number of Apache projects while minimizing the risk of vulnerabilities.

  • Use cases: Enterprises and data-driven organizations looking to build secure, scalable data pipelines and stream processing applications.

Apache Airflow

Chainguard Image

Apache Airflow image

Vulnerability count

4

249

Image size

1.02 GB

149 GB

Apache Superset

Chainguard Image

Apache Superset image

Vulnerability count

1

271

Image size

855 MB

133 GB

Apache Zookeeper

Chainguard Image

Apache Zookeeper image

Vulnerability count

0

58

Image size

261 MB

304 GB

Completing the Harbor stack

  • Overview: Chainguard is excited to introduce a suite of hardened container images for the Harbor stack, a popular open-source container registry solution. These images, including harbor-core, harbor-db, harbor-jobservice, harbor-portal, harbor-registry, harbor-registryctl, and harbor-trivy-adapter, are designed to enhance the security and reliability of your Harbor deployment.

  • What's new: These images enable a secure installation of the Harbor software and all of its components. For the first time this can be done without any CVEs.

  • Use cases: Organizations deploying Harbor as their container registry solution — prioritizing security and compliance throughout their container lifecycle management process — will benefit greatly from these hardened images. By leveraging a secure Harbor stack, teams can focus on developing and deploying applications with confidence, knowing that their container registry infrastructure is built on a solid, secure foundation.

Harbor Portal

Chainguard Image

bitnami image

Vulnerability count

0

109

Image size

28.7 MB

218 MB

Harbor Registry

Chainguard Image

bitnami image

Vulnerability count

0

98

Image size

40 MB

211 MB

Harbor Jobservice

Chainguard Image

bitnami image

Vulnerability count

0

126

Image size

42.7 MB

210 MB

The complete list of the latest Chainguard Images

Below is the complete list of the latest Chainguard Images releases.

Image

Image Type

FIPS?

argocd-repo-server

Application

argocd-server-fips

Application

aws-for-fluent-bit

Application

calico-apiserver ctl

Application

elasticsearch

Application

fluent-operator

Application

grafana-operator-bitnami-fips

Application

harbor-core

Application

harbor-db

Application

harbor-jobservice

Application

harbor-portal

Application

harbor-registry

Application

harbor-registryctl

Application

harbor-trivy-adapter

Application

kube-vip

Application

kube-webhook-certgen

Application

neuvector-scanner

Application

opentelemetry-collector

Application

rabbitmq-bitnami

Application

redis-cluster-bitnami

Application

redis-sentinel-bitnami

Application

redis-server-bitnami

Application

tempo

Application

zookeeper

Application

airflow

Application


apache-nifi

Application


calico-key-cert-provisioner

Application


eck-operator

Application


flink

Application


fluent-bit-plugin-loki

Application


go-openssl

Base


gpu-feature-discovery

Application


grafana-mimir

Application


grafana-rollout-operator

Application


jitsucom-bulker

Application


jitsucom-console

Application


jitsucom-ingest

Application


jitsucom-rotor

Application


jitsucom-syncctl

Application


keycloak-operator

Application


kibana

Application


mlflow

Application


mlflow-bitnami

Application


octo-sts

Application


rabbitmq-default-user-credential-updater

Application


superset

Application


Get started with Chainguard Images

Our latest batch release of Chainguard Images demonstrates our ongoing commitment to providing high-performing, and innovative open source software bundled in secure and hardened container images. Check out our registry for a complete list to serve your software development and security needs.

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