Enable Integrations or automations with these events of ChartMogul and Sumo Logic
Creates a contact object in ChartMogul under a specified customer within the selected data_source.
Creates a customer object in ChartMogul under the specified data_source.
Searches for a customer by email
Searches for a customer profile via customer's external id
Retrieves the specified metrics for the specified time
Retrieves a customer profile using customer UUID
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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 ChartMogul and Sumo Logic accounts to viaSocket. Once connected, you can set up a workflow where an event in ChartMogul triggers actions in Sumo Logic (or vice versa).
Absolutely. You can customize how ChartMogul data is recorded in Sumo Logic. This includes choosing which data fields go into which fields of Sumo Logic, setting up custom formats, and filtering out unwanted information.
The data sync between ChartMogul and Sumo Logic 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 ChartMogul and Sumo Logic. 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.
ChartMogul is a subscription analytics platform that helps businesses measure, understand, and grow their subscription revenue. It provides actionable insights and metrics to optimize your subscription business.
Learn MoreSumo Logic is a cloud-based machine data analytics platform that provides real-time insights and continuous intelligence across the entire application lifecycle and stack. It helps organizations monitor, troubleshoot, and secure their applications and infrastructure by collecting, analyzing, and visualizing log and metric data.
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