Connect Office 365 and Redis to Build Intelligent Automations
Choose a Trigger
When this happens...
New Contact
Choose an Action
Automatically do this!
- Request a new Action for Redis
Enable Integrations or automations with these events of Office 365 and Redis
Enable Integrations or automations with these events of Office 365 and Redis
Triggers
New Contact
Triggers when new contact is created.
Actions
Create Contact
Creates a new contact
Create Draft Email
Creates a draft of an email that can be reviewed and sent out.
Create Event
Creates a new event in a calendar.
Delete Event
Delete an existing event
Update Contact
Update an existing contact.
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Step by step guides to integrate Office 365 and Redis
Frequently Asked Questions
To start, connect both your Office 365 and Redis accounts to viaSocket. Once connected, you can set up a workflow where an event in Office 365 triggers actions in Redis (or vice versa).
Absolutely. You can customize how Office 365 data is recorded in Redis. This includes choosing which data fields go into which fields of Redis, setting up custom formats, and filtering out unwanted information.
The data sync between Office 365 and Redis 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 Office 365 and Redis. 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 Office 365
Microsoft Office 365 Business is a complete office suite in the cloud. It provides all the standard office products like Excel, Outlook, Word, SharePoint and more, but available from any internet enabled computer! Zapier does not currently support Outlook.com addresses or Home 365 accounts, only business or Enterprise.
Learn MoreAbout Redis
Redis is an open-source, in-memory data structure store, used as a database, cache, and message broker. It supports various data structures such as strings, hashes, lists, sets, and more, making it highly versatile for developers looking to build high-performance applications.
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