Single service comparison

AWS CodeCommit is offered as an isolated repository service governed by IAM, KMS, and resource policies; Huawei CodeArts Repo is the code-hosting submodule of the CodeArts DevOps platform, sold as part of bundled seat-based plans (Free, Basic, Professional, Enterprise) rather than metered per-repository storage and Git request volume. CodeArts Repo is reached through the CodeArts console and shares tenant, project, and member model with requirement, build, check, and pipeline sub-services, so adoption implies alignment with the CodeArts project topology instead of independent repository provisioning.

Control-plane and integration boundaries diverge significantly. CodeCommit exposes Git endpoints plus the CodeCommit family console/APIs and integrates through EventBridge, Lambda, and AWS developer tools, while CodeArts Repo integrates natively with CodeArts Pipeline, Check, Build, Deploy, and Repo/Artifact services but offers thinner generic webhook and third-party CI extensibility. Branch protection, merge-request workflow, and review templates on Repo follow the CodeArts project model; AWS equivalents come from approval rule templates and cross-service calls, so policy and automation must be re-platformed rather than lifted.

Scaling, availability, and lifecycle posture differ. CodeCommit is regional, replicate-capable forDurability backed by S3/DynamoDB with AWS-defined quotas and announced restrictions on new customer sign-ups and continued investment; CodeArts Repo is a regional Huawei service with quota tied to the purchased CodeArts tier's storage allocation and concurrent limits. Architects must verify current Huawei regional availability, repository size limits, and the CodeArts plan that matches projected developer seats and storage before assuming equivalence, because no like-for-like SLA or quota mapping is published.

Assess the source footprint first: inventory repositories, sizes, Git history depth, LFS objects, branch policies, approval templates, IAM users and roles, and downstream CI triggers referencing CodeCommit. Confirm CodeArts Repo's current regionalefront availability and the CodeArts tier whose repository storage and per-tenant quotas cover peak usage; pick the tier (Basic/Professional/Enterprise) by seats plus storage rather than by repository count, since Repo is not sold standalone. Validate that Huawei supports import from remote Git over HTTPS/SSH for the planned repositories.

Migrate data with standard Git tooling rather than a Huawei-provided CodeCommit importer: clone each CodeCommit repository with credential helper or SSH, then create a CodeArts Repo project and repository of matching name and import via the Repo console Git import path or a `git push --mirror` to the new remote. Re-create branch rules, merge-request templates, file protection, and review expectations in Repo, because AWS approval-rule templates and IAM-based access do not transfer automatically; map IAM principals to Huawei IAM users/agency and project-member roles instead.

Reconnect CI/CD and notification integration downstream. Replace CodePipeline/CodeBuild triggers and EventBridge/Lambda hooks with CodeArts Pipeline and Check stages, re-point webhook subscriptions to Repo events, and reproduce external integrations using Repo webhooks or APIG where a direct equivalent is unavailable. Re-baseline build artifacts in CodeArts Artifact repository and confirm pipeline gates equivalently, since direct CodePipeline-to-CodeArts conversion is not provided by Huawei and orchestration must be rebuilt on the target.

Plan cutover and cost model changes deliberately. Use a freeze window with dual-push to both CodeCommit and Repo while validation runs, then switch the canonical remote and retire the CodeCommit repository; keep read-only clones during retention. Costs shift from AWS per-storage, per-Git-request, and per-active-user metering to CodeArts seat-based plans plus storage, concurrency, and execution-duration expansion packs, so recompute total cost of ownership using developer seats, repository storage, required build concurrency, and pipeline execution minutes per tier, not by extrapolating CodeCommit unit rates.