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Guidance for Automated Language Translations on AWS

Overview

This Guidance helps sellers perform content localization and accurate translations so they can adapt their content for a global audience. Amazon Translate allows ecommerce and marketplace retailers to translate millions of product titles, descriptions, and interactions between customers and sellers. In a global economy with customers around the world, localization can improve customer interactions and increase transactions. By automating content translation at scale, this Guidance minimizes the manual work involved with maintaining localized content.

How it works

These technical details feature an architecture diagram to illustrate how to effectively use this solution. The architecture diagram shows the key components and their interactions, providing an overview of the architecture's structure and functionality step-by-step.

Download the architecture diagram

Well-Architected Pillars

The architecture diagram above is an example of a Solution created with Well-Architected best practices in mind. To be fully Well-Architected, you should follow as many Well-Architected best practices as possible.

AWS managed services emit their own set of metrics into Amazon CloudWatch, where you can monitor services for errors and set up CloudWatch alarm notifications.

Read the Operational Excellence whitepaper

This solution uses Amazon Cognito to authenticate translators prior to providing them with access to the translation management application. For data ingress from the PIM and CMS, this architecture will provide flexible authentication options including API keys, AWS Identity and Access Management (IAM) if the source system supports it, and customer authentication against a different identity provider using Lambda authorizers.

Read the Security whitepaper

This Guidance is based on an event-driven, distributed architecture. It uses a Step Functions workflow that provides built-in retry capabilities. Additionally, it uses EventBridge to support built-in retry capability for up to 24 hours with exponential back-off, a pattern where the wait time is increased exponentially after every retry attempt, and jitter, which adds some amount of randomness to the backoff to spread the retries around in time.

Read the Reliability whitepaper

Serverless technologies feature automatic scaling. If there is an influx of changes in the translation content, the architecture will scale accordingly and make changes in near real time.

Read the Performance Efficiency whitepaper

This architecture follows a serverless-first approach. Where possible, serverless services scale based on the number of content changes, which means costs will scale based on service usage. 

Read the Cost Optimization whitepaper

AWS managed services scale up and down according to business requirements and traffic, making them more sustainable than on-premises architectures that do not offer on-demand scalability. Additionally, serverless components of this architecture automate the process of infrastructure management.

Read the Sustainability whitepaper

Disclaimer

The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.

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