Connect code and InfluxDB to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for code
Choose an Action
Automatically do this!
- Request a new Action for InfluxDB
Integrate code with your favorite apps
The app you are looking for is in beta, and we are awaiting verification from the app builders
before making it accessible to end users.
This process may take 15 to 30 days.
If you can’t wait, we can add the beta version to your viaSocket workspace within 24 hours.
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- text is aiReplytoCommentSend a Private ReplyAdd Step
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- multi keyword matchcmntdqJzLMYSReplytoCommentMultiKeywordAdd Step
Automate Expense Report Approvals via Slack & QuickBooks
- Send for Approval acceptCreate Entry of expensesAdd Step
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Automate Instagram DM Replies, Reactions, and Team Alerts
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Frequently Asked Questions
To start, connect both your code and InfluxDB accounts to viaSocket. Once connected, you can set up a workflow where an event in code triggers actions in InfluxDB (or vice versa).
Absolutely. You can customize how code data is recorded in InfluxDB. This includes choosing which data fields go into which fields of InfluxDB, setting up custom formats, and filtering out unwanted information.
The data sync between code and InfluxDB 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 code and InfluxDB. 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 code
Write custom Python or Javascript code in response to any data from any service! Transform, mutate, customize or even do custom HTTP in a native and familiar environment.
Learn MoreAbout InfluxDB
InfluxDB is a time series database designed to handle high write and query loads, making it ideal for storing and analyzing time-stamped data such as metrics, events, and analytics.
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