Single service comparison

SWR is a container-image-only service and does not host language packages (npm, Maven, Python, Go modules) the way Artifact Registry's unified multi-format repositories do. SWR organizes images into organizations and repositories and exposes Docker Registry V2 APIs plus Huawei-native APIs, while Artifact Registry uses a project/repository/location hierarchy managed through gcloud and Cloud APIs with IAM roles for fine-grained access. Architects consolidating non-container artifacts must plan separate Huawei tooling rather than assuming one registry covers all formats.

Both services integrate with a managed Kubernetes platform (GKE for Artifact Registry, CCE for SWR), but the integration surface and image-pull acceleration differ. SWR relies on P2P image distribution and OBS-backed storage advertising eleven-nines durability, and authenticates through Huawei Cloud IAM with organization-level permissions. Artifact Registry pairs with Google IAM, Binary Authorization, and Container Analysis for signing, attestation, and continuous vulnerability scanning; verify whether SWR's built-in scanning and admission-control equivalents meet your security posture before treating the two as substitutable.

Migration tooling and regional model differ. SWR publishes explicit guidance using Docker commands, image-syncer, and image-migrator for transferring any Docker Registry V2 source (including Google registries) into SWR, but retention policies, replication across regions, lifecycle hook configuration, and quota limits are Huawei-specific and should be validated per region. Artifact Registry offers native cross-region replication and pour-through caching of upstream public registries; SWR's regional availability and cross-region sync behaviors are narrower and must be checked in the target region.

Assess scope first. SWR is the direct equivalent for container images, but if your Artifact Registry usage also includes language-package formats or binary artifacts, you need additional Huawei or third-party tooling (such as CodeArts for build artifacts) and cannot migrate them through SWR alone. Inventory repositories, retention rules, vulnerability-scan expectations, and the consuming workloads (GKE to CCE, Cloud Run to CCI), then select SWR as the image target and CCE/CCI as the runtime target only where the workload actually moves to Huawei Cloud.

For image transfer, use the Huawei-documented migration tooling rather than ad-hoc pulls. image-syncer supports many-to-many synchronization from any Docker Registry V2 source (including Artifact Registry) to SWR with concurrency control, retry, and a blob-tracking file to avoid re-transfer; Docker CLI pull/push is acceptable for a small number of images but is concurrency-limited and disk-bound. Re-tag images to the SWR domain path, expect organization/repository naming differences, and keep a mapping of old digests to new digest locations for rollback.

Re-wire build and deploy pipelines after the images land. Update CI/CD (e.g., Cloud Build to CodeArts Pipeline) to push to SWR endpoints, refresh image pull secrets in CCE workloads with SWR credentials, and confirm private-image access from CCE/CCI clusters. Validate that P2P distribution keeps large-pull latency acceptable for your node scale, and check SWR quotas such as organization and repository limits in the destination region before production cutover.

Validate security and operating-model gaps and recalculate cost. Artifact Registry's per-stored-version and egress pricing differs from SWR's storage-and-traffic model; re-derive TCO using retained image layers, pull frequency from CCE nodes, and cross-region or interconnect traffic. Where Binary Authorization, continuous scanning, or cross-region replication are required, confirm the available SWR features or complementary Huawei services (e.g., CVE scanning) cover them, and treat deferred or absent capabilities as migration risks rather than assumed parity.