Connect ArcGIS and Sumo Logic to Build Intelligent Automations

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ArcGIS

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Sumo Logic

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Enable Integrations or automations with these events of ArcGIS and Sumo Logic

Enable Integrations or automations with these events of ArcGIS and Sumo Logic

Actions

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Frequently Asked Questions

How do I start an integration between ArcGIS and Sumo Logic?

To start, connect both your ArcGIS and Sumo Logic accounts to viaSocket. Once connected, you can set up a workflow where an event in ArcGIS triggers actions in Sumo Logic (or vice versa).

Can we customize how data from ArcGIS is recorded in Sumo Logic?

Absolutely. You can customize how ArcGIS 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.

How often does the data sync between ArcGIS and Sumo Logic?

The data sync between ArcGIS and Sumo Logic typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from ArcGIS to Sumo Logic?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between ArcGIS and Sumo Logic?

Yes, you can set conditional logic to control the flow of data between ArcGIS 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.

ArcGIS

About ArcGIS

ArcGIS is a comprehensive geographic information system (GIS) for working with maps and geographic information. It is used for creating, managing, sharing, and analyzing spatial data.

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Sumo Logic

About Sumo Logic

Sumo 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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