Private registry managed service, compatible with the cloud native ecosystem
The OVHcloud Managed Private Registry service makes it easy to store, manage and access your container images and Helm charts, offering enterprise-grade features and predictable pricing.
Full interoperability, thanks to open standards
Managed Private Registry is built on open source solutions, such as Docker, and the CNCF Harbor project, to guarantee its interoperability. It supports all OCI (Open Container Initiative) images and Helm charts, and can work with any containerisation platforms and orchestration tools, such as the Kubernetes ecosystem.
Maximum security for your images
Secure access for your teams, with role-based access control (RBAC). With Content Trust ensuring the integrity of your images’ sources, and by performing automatic vulnerability analysis, you are protected against most risks. All this is backed up with robust SLAs.
Multiple pay-as-you-go plans, with predictable pricing
The Managed Private Registry service offers a range of pay-as-you-go plans, to suit your development team’s size and needs. These include the amount of stored data, concurrent connections to the registry and SLAs. Inbound/outbound traffic and service maintenance are included, so you know exactly what you will pay at the end of the month.
ISO/IEC 27001, 27701 and health data hosting compliance
Our cloud infrastructures and services are ISO/IEC 27001, 27017, 27018 and 27701 certified. These certifications ensure the presence of an information security management system (ISMS) for managing risks, vulnerabilities and implementing business continuity, as well as a privacy information management system (PIMS). Thanks to our health data hosting compliance, you can also host healthcare data securely.
Improve team collaboration
Managed Private Registry enables the efficient and secure delivery of images, everywhere you operate. Depending on their rights, developers access approved images, reducing the risk of obsolescence. Multiple connections to the registry can take place simultaneously, further enhancing the agility of your teams.
Streamline the management of images
Manage your private storage configuration via a single, dedicated Harbor interface, or through the Harbor API. This allows you to ensure the integrity of your images, by synchronising multiple registries and automating the removal of unused images.
Helm Chart and Container Images
If you already utilise Kubernetes, or any other container management solution, you can continue managing your images using tools and processes you know and trust
Dedicated Harbor Interface or Harbor API
Managed Private Registry offers effortless configuration management, through either an intuitive graphic interface, or the Docker registry API
RBAC and namespaces
Offer your teams secure access to images, with the ability to configure individual rights, delivering both security and high availability
Streamline and automate your processes, via the issue of a token with specific rights
Automated logging provides complete traceability, to fulfil even the most stringent compliance requirements
Ensures that your images have been automatically validated by Docker Notary, so you can always trust their sources, without the need to manually authenticate each of them
Automatically monitor your risk exposure, with periodic checks for common vulnerabilities
Synchronise your images across multiple registries, in line with your management policies, for stress-free versioning
Automate the removal of unused images, to make more efficient use of your storage and simplify lifecycle management
Managed Private Registry Billing
Each plan for the Managed Private Registry service includes a specific amount of stored data, concurrent connections to the registry, illimited traffic and SLAs. The service is billed per hour, in accordance with the pricing of the plan you have selected.
Deploy cloud instances with fully-guaranteed resources for a very wide range of uses
Orchestrate your containerised applications with a CNCF-certified Kubernetes cluster