Connect My Hours and Amazon DynamoDB to Build Intelligent Automations
Choose a Trigger
When this happens...
New Project
Choose an Action
Automatically do this!
- Request a new Action for Amazon DynamoDB
Enable Integrations or automations with these events of My Hours and Amazon DynamoDB
Enable Integrations or automations with these events of My Hours and Amazon DynamoDB
Triggers
New Project
Triggers when a new project is created.
Actions
Create Project
Creates a new project for time tracking.
Add Task To Project
Add a task to project.
Create Client
Creates a Client.
Create Tag
Creates a tag.
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Frequently Asked Questions
To start, connect both your My Hours and Amazon DynamoDB accounts to viaSocket. Once connected, you can set up a workflow where an event in My Hours triggers actions in Amazon DynamoDB (or vice versa).
Absolutely. You can customize how My Hours data is recorded in Amazon DynamoDB. This includes choosing which data fields go into which fields of Amazon DynamoDB, setting up custom formats, and filtering out unwanted information.
The data sync between My Hours and Amazon DynamoDB 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 My Hours and Amazon DynamoDB. 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 My Hours
Myhour is a comprehensive time tracking and project management tool designed to help teams and individuals efficiently manage their work hours and tasks. With features like detailed reporting, invoicing, and team collaboration, Myhour ensures that you stay on top of your projects and deadlines.
Learn MoreAbout Amazon DynamoDB
Amazon DynamoDB is a fully managed NoSQL database service provided by Amazon Web Services (AWS) that offers fast and predictable performance with seamless scalability. It is designed to handle large amounts of data and provide high availability and durability, making it ideal for applications that require consistent, single-digit millisecond latency at any scale.
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