In this lesson, you will learn how to shift from manual resource management to an automated pipeline for handling localized strings in large-scale Blazor applications.
Scaling Beyond Resx Files
When managing internationalization (i18n) for an enterprise application, relying solely on local .resx files becomes a bottleneck. As your team grows, keeping translations synchronized between developers, professional translators, and your production environment requires a move toward structured data and automated synchronization.
Instead of hardcoding strings in the UI or managing siloed local files, modern large-scale systems use a "Source of Truth" approach. You treat your localization data as a database-driven asset that is synced via a CI/CD pipeline.
The Automated Workflow
- Extract: Use a custom MSBuild task or a tool like
dotnet-formatto scan your Razor components for newLocalizer["Key"]calls. - Sync: Export these keys to a structured format (JSON or XLIFF) and push them to a Localization Management Platform (LMP) via API.
- Translate: Translators update the values in the LMP.
- Inject: During your build process, the CI pipeline fetches the updated JSON/XLIFF and generates the binary resource files required by the .NET
IStringLocalizerinfrastructure.
Concrete Implementation
For Blazor, rather than loading everything into the assembly, you can use a custom IStringLocalizerFactory that points to an external cache:
// Instead of local files, resolve resources from an external provider
public class RemoteStringLocalizer : IStringLocalizer
{
private readonly IRemoteTranslationCache _cache;
public LocalizedString this[string name] =>
new(_cache.Get(name, CultureInfo.CurrentCulture), name);
// ... Implementation of GetAllStrings and others
}
By decoupling the translation retrieval from the compiled assembly, your team can update application text in real-time without requiring a full redeployment of the Blazor WebAssembly or Server app. This modularity ensures that as your component design system grows, you don't break the localization pipeline during rapid deployments.
Key Takeaway: Scaling i18n requires moving away from local file management toward an automated pipeline that treats translations as versioned, external data synced via your CI/CD process.