Amazon S3

Amazon S3

Scalable storage in the cloud

Amazon S3 currently provides 1 trigger that can start a workflow and 7 actions a workflow can run. Use those building blocks to connect product and engineering activity to the customers and work it affects.

Developer Tools1 trigger7 actions

Triggers

(1)

New or Updated File

Triggers when you add or update a file in your bucket. The bucket/folder you choose must not contain more than 10,000 files.

Actions

(7)

Upload File

Upload an File to S3

Read File

Read a file from S3 to use it in other steps

Generate signed URL

Generate a signed URL for a file in a s3 bucket

Move File

Move a File to Another Folder

Delete File

Deletes an existing file.

List Files

List all files from an S3 bucket folder/prefix.

Decrypt PGP File

Decrypt a PGP encrypted file from S3 using a private key stored in AWS Secrets Manager

What can you automate with Amazon S3 and Coherence?

These recipes are generated from the triggers, actions, and categories currently available for this piece. Use them as starting points, then choose the exact fields, conditions, and records your workflow should update.

Bring Amazon S3 activity into Coherence

Start from a supported Amazon S3 event, then create or update the appropriate CRM, project, or custom record with the source context preserved.

Starts with

New or Updated File

Finishes with

Create or update a Coherence record

Act in Amazon S3 from a Coherence workflow

Use a change in Coherence to run a supported Amazon S3 action, so the next step follows the record instead of relying on someone to copy it.

Starts with

A Coherence record or workflow changes

Finishes with

Upload File

Connect Amazon S3 to the wider customer workflow

Combine Amazon S3 with another integration and Coherence records to connect product and engineering activity to the customers and work it affects.

Starts with

New or Updated File

Finishes with

Upload File, then preserve the outcome in Coherence

How to connect Amazon S3

The exact authentication fields depend on Amazon S3. The workflow structure stays straightforward:

1

Connect the account

Authorize the Amazon S3 account and permissions the workflow needs.

2

Choose a supported step

Select one of the current triggers or actions listed above and map its fields.

3

Test with a real record

Run a small test, inspect the result in both systems, and only then enable the workflow.

Related integrations for the same workflow

Explore apps that share a category with Amazon S3 or provide a complementary trigger or action.

Amazon S3 integration questions

What can I automate with the Amazon S3 integration?

Amazon S3 currently provides 1 trigger that can start a workflow and 7 actions a workflow can run. Use those building blocks to connect product and engineering activity to the customers and work it affects.

How many Amazon S3 triggers and actions are available?

Amazon S3 currently lists 1 trigger and 7 actions in the integration catalog. The supported list is refreshed from the pieces available in Coherence, so review the capability names on this page before building a workflow.

Can Amazon S3 connect to other apps through Coherence?

Yes. A workflow can combine supported Amazon S3 triggers or actions with Coherence records and other available integrations. The exact flow depends on the authentication, permissions, triggers, and actions exposed by each connected app.

Do I need to write code to connect Amazon S3?

The listed triggers and actions are designed for visual workflows. If the pre-built integration does not expose a capability you need, HTTP and webhook steps can cover APIs that your team is authorized to use.

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