
When this happens...
New or Update Incident

Automatically do this!
Import to Classifier
Classify
Center Detect
Train Classifier
When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when new incidents are created, or when existing incidents are updated.
Action is the task that follows automatically within your Better Stack integrations.
Resolve an Incident.
Creates a New Incident.
Import data to your Nyckel classifier
Classify image or text data
Detect Objects center in images
Train your Nyckel classifier by adding more data

Gain insights into how viaSocket functions through our detailed guide. Understand its key features and benefits to maximize your experience and efficiency.

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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 Better Stack and Nyckel accounts to viaSocket. Once connected, you can set up a workflow where an event in Better Stack triggers actions in Nyckel (or vice versa).
Absolutely. You can customize how Better Stack data is recorded in Nyckel. This includes choosing which data fields go into which fields of Nyckel, setting up custom formats, and filtering out unwanted information.
The data sync between Better Stack and Nyckel 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 Better Stack and Nyckel. 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.
Better Stack is a tool to provide reliable monitoring with voice calls and beautiful on-call scheduling. Configure everything in just 3 minutes, free plan included!
Learn MoreNyckel is a platform that provides machine learning as a service, enabling users to easily integrate AI capabilities into their applications without needing extensive knowledge in data science or machine learning. It offers tools for creating, training, and deploying machine learning models with ease.
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