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@@ -16,6 +16,17 @@ helm install my-release oci://registry-1.docker.io/bitnamicharts/rabbitmq-cluste
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Looking to use RabbitMQ Cluster Operator in production? Try [VMware Tanzu Application Catalog](https://bitnami.com/enterprise), the commercial edition of the Bitnami catalog.
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+## ⚠️ Important Notice: Upcoming changes to the Bitnami Catalog
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+Beginning August 28th, 2025, Bitnami will evolve its public catalog to offer a curated set of hardened, security-focused images under the new [Bitnami Secure Images initiative](https://news.broadcom.com/app-dev/broadcom-introduces-bitnami-secure-images-for-production-ready-containerized-applications). As part of this transition:
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+- Granting community users access for the first time to security-optimized versions of popular container images.
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+- Bitnami will begin deprecating support for non-hardened, Debian-based software images in its free tier and will gradually remove non-latest tags from the public catalog. As a result, community users will have access to a reduced number of hardened images. These images are published only under the “latest” tag and are intended for development purposes
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+- Starting August 28th, over two weeks, all existing container images, including older or versioned tags (e.g., 2.50.0, 10.6), will be migrated from the public catalog (docker.io/bitnami) to the “Bitnami Legacy” repository (docker.io/bitnamilegacy), where they will no longer receive updates.
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+- For production workloads and long-term support, users are encouraged to adopt Bitnami Secure Images, which include hardened containers, smaller attack surfaces, CVE transparency (via VEX/KEV), SBOMs, and enterprise support.
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+These changes aim to improve the security posture of all Bitnami users by promoting best practices for software supply chain integrity and up-to-date deployments. For more details, visit the [Bitnami Secure Images announcement](https://github.com/bitnami/containers/issues/83267).
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## Introduction
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Bitnami charts for Helm are carefully engineered, actively maintained and are the quickest and easiest way to deploy containers on a Kubernetes cluster that are ready to handle production workloads.
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