
When this happens...
New Project

Automatically do this!
Enable Integrations or automations with these events of Codefresh and Amazon DynamoDB
Triggers when a new project is created in scheduled time.
Creates a new project.
Create a new Codefresh team, add specified users, and apply optional tags.
Add an annotation to a Codefresh entity (pipeline, build, or deployment).
Search projects with filters.
Deletes a project.
Retrieve a paginated list of workflow builds, optionally filtered by status, pipeline, git provider/repo, trigger reason, and date range.
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Codefresh and Amazon DynamoDB accounts to viaSocket. Once connected, you can set up a workflow where an event in Codefresh triggers actions in Amazon DynamoDB (or vice versa).
Absolutely. You can customize how Codefresh 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 Codefresh 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 Codefresh 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.
Codefresh is a modern DevOps platform that streamlines software development and delivery. It offers powerful CI/CD tools to help developers build, test, and deploy applications efficiently, simplifying complex workflows for teams aiming to enhance their DevOps practices.
Learn MoreAmazon 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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