What is the difference between ETL and data integration?

That is the way in which most of the teams do it at the beginning, copy every email or notification template in Tilda and translate the text manually, maintaining a similar design and personalities. Then, capture the desired language used by the user in custom forms or user tags, it can be a dropdown on signup or something that gets read off CRM data. With that information you can then tie Tilda to an automation system such as Zapier, Make or to your ESP and can automatically run the appropriate localized template when a message comes in.

Automating user provisioning and deprovisioning for Dependabot via SCIM involves integrating your Identity Provider (IdP) with GitHub Enterprise, where Dependabot operates. While Dependabot itself doesn't directly expose a SCIM endpoint for user management, user provisioning for Dependabot is handled through the broader GitHub Enterprise SCIM integration.

You will need to manually construct localization on top of Rise Calendar, which does not currently enable multi-language templates (assuming you are referring to the scheduling/notification feature from the Rise.ai ecosystem or a comparable configuration). Creating and maintaining language-specific template sets and then using automation tools or conditional logic to ensure that each user receives the correct version is the practical method.
Here’s what most multi-language teams do:

• Create copies of all email templates and notifications (such as meetings' invites, updates, and reminders) in all the available languages. Aim to start from the same naming convention (for example, Meeting_Reminder_EN, Meeting_Reminder_ES, and so on).
• Tag users by language preference or tag teams by language preference - for example, maintaining a language code in their user profile or their calendar metadata.
• Use your CRM, workflow automation (zapier, make, or a custom script with rise's API, if available), or internal scheduling logic the messages can be routed according to locale.
• Centralize translation - keep all localised copies in one place / repository / spreadsheet, etc throughout the web app so updating (like a date format change or a mention of a new feature) can be easy to roll out across localisations.
• Test time zones and rendering of characters especially for right to left languages or languages with diacritics.

Use feature flags in your code first, then surround the new features with conditional logic that verifies the flag's status. This will allow you to use feature flags and policy controls to limit UDYAM features to a pilot group. Next, target particular user segments and control flag states using a feature flag management platform. Next, create a pilot group role and set up your identity and access management (IAM) system to provide them access to the feature flags. This will allow you to layer policy constraints, like Role-Based Access Control (RBAC). In order to guarantee that only the chosen pilot users see and utilize the new UDYAM features, configure the feature flag system to enable the flag for them only.

By defining environment variables on the control plane components, you can use Istio's feature flags through Helm to govern specific functions, such new features for a specific pilot group, and limit Istio features to that group. To ensure that only authorized users and workloads can access sensitive features, combine these technical controls with Istio's AuthorizationPolicy to create default-deny rules. Then, use a multi-layered strategy that includes Kubernetes resources and careful configuration to define the pilot group and its access permissions.