Connect AWS and spark to Build Intelligent Automations
Enable Integrations or automations with these events of AWS and spark
Enable Integrations or automations with these events of AWS and spark
Actions
Upload File to S3
Upload a file to a specified S3 bucket.
Run Custom AWS Action
Run a custom AWS action using provided inputs.
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Frequently Asked Questions
To start, connect both your AWS and spark accounts to viaSocket. Once connected, you can set up a workflow where an event in AWS triggers actions in spark (or vice versa).
Absolutely. You can customize how AWS data is recorded in spark. This includes choosing which data fields go into which fields of spark, setting up custom formats, and filtering out unwanted information.
The data sync between AWS and spark 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 AWS and spark. 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 AWS
AWS (Amazon Web Services) is a comprehensive cloud computing platform offering a wide range of services including computing power, storage options, and networking capabilities. It is designed to help businesses scale and grow by providing reliable and secure cloud solutions.
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About spark
Spark is a modern Medicare brokerage platform to manage the full lifecycle of a client from quoting to post-enrollment support.
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