Enable Integrations or automations with these events of Tumblr and Sumo Logic
Triggers whenever you "like" a post on Tumblr.
Triggers when a new post is created on any blog with a specific tag you choose.
Triggers when a new post is added by someone you follow on Tumblr.
Triggers when a new post is created in a specific blog you own.
Creates a new link post.
Creates a new text post.
Creates a new audio post.
Creates a new photo post.
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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 Tumblr and Sumo Logic accounts to viaSocket. Once connected, you can set up a workflow where an event in Tumblr triggers actions in Sumo Logic (or vice versa).
Absolutely. You can customize how Tumblr 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 Tumblr 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 Tumblr 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.
Tumblr is a microblogging and social networking website that allows users to post multimedia and other content to a short-form blog. Users can follow other users' blogs, as well as make their blogs private.
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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