Connect Phrase and AWS Lambda to Build Intelligent Automations
Enable Integrations or automations with these events of Phrase and AWS Lambda
Enable Integrations or automations with these events of Phrase and AWS Lambda
Triggers
Job Created
Triggers when a Phrase Job has been created, but not yet started.
Job Started
Triggers when a Phrase Job is marked as in-progress.
Job Completed
Triggers when a Phrase Job has been marked as completed.
Actions
Start a Job
Starts an existing job that is in draft state.
Complete a Job
Completed a job that is in the 'in_progress' state.
Delete a Job
Delete's a job from phrase.
Create a Job Comment
Creates a new comment in the specified job.
Delete a Job Comment
This action will delete a comment from the specified job.
Update a Job Comment
This action updates a comment to a specific job.
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Frequently Asked Questions
To start, connect both your Phrase and AWS Lambda accounts to viaSocket. Once connected, you can set up a workflow where an event in Phrase triggers actions in AWS Lambda (or vice versa).
Absolutely. You can customize how Phrase data is recorded in AWS Lambda. This includes choosing which data fields go into which fields of AWS Lambda, setting up custom formats, and filtering out unwanted information.
The data sync between Phrase and AWS Lambda typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Phrase and AWS Lambda. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Phrase
Phrase is a comprehensive localization management platform that streamlines the translation and localization process for businesses, enabling them to reach global audiences effectively.
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About AWS Lambda
AWS Lambda is a compute service that runs your code in response to events and automatically manages the compute resources for you, making it easy to build applications that respond quickly to new information.
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