Managed Artifactory

Assistance-operated Artifactory service for packages, build artifacts, Helm charts, and Docker/OCI repositories

Managed Artifactory is for teams that need a dependable repository layer for packages, build outputs, Helm charts, and Docker/OCI images without maintaining repository infrastructure themselves. Assistance operates the Artifactory platform while your engineering teams keep ownership of artifacts, image contents, tags, releases, and deployment decisions.

Best-fit use cases#

Use case	Why managed Artifactory fits
Private packages and artifacts	Publish internal libraries, SDKs, binaries, release bundles, and build outputs under controlled access
Dependency proxying	Cache upstream package ecosystems to improve build reliability and reduce external dependency risk
Docker/OCI image publishing	Publish container images and OCI artifacts through Artifactory Docker/OCI repositories
Environment promotion	Promote tested artifacts and images from development to staging to production with clear rules
Governance	Apply access control, audit logging, vulnerability/license workflows, retention policies, and cleanup controls consistently

What Assistance operates#

Area	Included managed service responsibility
Provisioning	Artifactory setup, storage backend, endpoint naming, TLS, and secure baseline configuration
Repository design	Hosted, remote, and virtual repository layout based on package ecosystems, Docker/OCI image flows, teams, and environments
Availability	Health monitoring, storage durability design, backup/snapshot approach where applicable, and runbooks
Access	User/team permissions, service accounts, tokens, image pull secret guidance, and rotation support
Governance	Vulnerability/license scanning workflows where included, policy recommendations, audit logging options, and retention controls
Integration	CI/CD credentials, package-manager configuration, Kubernetes pull secrets, webhooks, and promotion workflow support
Support	Severity-based support for Artifactory platform incidents and escalation for covered production release paths

Repository governance does not replace artifact ownership

Assistance operates Artifactory and the agreed governance workflows. Your teams own package contents, dependency choices, Dockerfiles, base images, vulnerability remediation, tags, releases, and whether an artifact is safe to promote or deploy.

Ownership boundary#

Responsibility	Assistance owns	Customer owns
Artifactory platform	Runtime, storage, TLS, monitoring, upgrades, retention controls, and platform incidents	Build tools, source repositories, and deployment decisions
Packages, images, and tags	Storage, repository configuration, access controls, and retention implementation	Package contents, Dockerfiles, base images, tag strategy, release promotion, and rollback choices
Proxy repositories	Cache configuration, availability, and upstream health visibility	Approved upstream sources and dependency usage policy
Security findings	Scanner operation and reporting workflow where included	Remediation, exception approval, and application or license risk acceptance
Access	Roles, tokens, service accounts, and rotation procedure	User approvals, internal access reviews, and pipeline secret consumption
Storage growth	Monitoring and retention policy implementation	Artifact lifecycle rules and legal/business retention requirements

Deployment options#

Option	When to use it
Assistance physical servers	Development teams, self-hosted runners, predictable internal artifact traffic, and flat-rate economics
Customer cloud account	Production build or pull paths that must stay inside your cloud/network/compliance boundary
Hybrid repository topology	Central Artifactory service with controlled mirrors, caches, or promotion into cloud production registries
Migration engagement	Move from Nexus, Harbor, GitLab, GitHub Packages, Docker Hub private repositories, cloud-native registries, file shares, or unmanaged Artifactory

Reliability and support model#

Topic	Managed Artifactory approach
Availability	Target availability scoped by deployment model, storage backend, replication needs, and support tier
Durability	Backup/snapshot strategy and retention expectations defined during onboarding
Build continuity	Proxy caching reduces external outage impact but does not guarantee third-party package availability beyond cached artifacts
Performance	Pull/push latency, storage, errors, and request volume monitored for covered repositories
Governance	Scanning, license, audit, and retention workflows included when selected
Response	P1 response targets scoped in support agreement; 24/7 critical response available for covered production release paths

Onboarding#

1. Repository assessment#

We review current repositories, package ecosystems, image volume, pull patterns, CI/CD systems, Kubernetes clusters, access model, scanning expectations, and retention needs.

2. Managed design#

Assistance proposes repository topology, endpoint naming, storage, access model, scanning workflow, retention policies, backup approach, integrations, and support tier.

3. Migration and integration#

We provision Artifactory, create initial repositories, configure CI/CD credentials, provide package-manager and Kubernetes pull secret guidance, and support artifact migration or promotion setup.

4. Operate and govern#

After go-live, we monitor platform health, storage growth, scanning status, upstream cache behavior, and access patterns. Retention and permissions are reviewed on the agreed cadence.

Supported capabilities#

Maven, npm, PyPI, NuGet, Helm, generic, and other repository formats supported by the selected Artifactory edition
Docker and OCI image publishing through Artifactory Docker/OCI repositories
Hosted, remote, and virtual repository patterns
Role-based access control and service accounts
Vulnerability/license scanning workflow and reporting where included
Webhooks or CI/CD integrations where scoped
Retention and cleanup policies
Migration from common artifact and registry platforms

Not included by default#

Updating every project's dependencies or build files
Rebuilding or hardening every container image
Owning vulnerability remediation, license approval, or exception approval
Managing application deployment rollouts
Unlimited storage, retention, replication, or bandwidth outside the plan
Guaranteeing public internet CDN performance unless scoped with that architecture

Managed Artifact Repositories — Repository strategy for package ecosystems and build artifacts
Managed Kubernetes — Cluster operations that consume Docker/OCI images from Artifactory repositories
DevOps as a Service — CI/CD pipelines, build automation, and release workflows
Managed Prometheus — Repository platform monitoring and alerting

Getting started#

Request an Artifactory assessment. We will map package ecosystems, image flows, CI/CD integration points, retention, access, scanning, and support requirements before proposing a managed repository design.

Request Artifactory assessment →

Frequently asked questions#

Can we use this with Kubernetes? Yes. We provide image pull secret guidance, service account patterns, and Artifactory Docker/OCI repository access models for Kubernetes clusters.

Do you scan images and packages for vulnerabilities? Scanning workflows are available and can be included. Assistance operates the agreed scanning workflow; your team owns remediation and risk acceptance.

Can you migrate from an existing repository platform? Yes. We support migration planning from Nexus, Harbor, GitLab, GitHub Container Registry, Docker Hub, cloud-native registries, file shares, and existing Artifactory installations.

Who owns tag naming and release promotion? Your engineering/release team owns tag strategy and promotion rules. We implement the repository controls and can advise on safer workflows.

What SLA applies? Availability and response targets are scoped by deployment model, storage design, replication, and support tier.