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Easy Go SDK to Tray.io integration with RudderStack
RudderStack’s open source Go SDK allows you to integrate RudderStack with your Go app to track event data and automatically send it to Tray.io. With the RudderStack Go SDK, you do not have to worry about having to learn, test, implement or deal with changes in a new API and multiple endpoints every time someone asks for a new integration.
Popular ways to use Tray.io
Easily trigger automations
Automatically trigger automations in Tray.io with data from RudderStack.
Send rich metadata
Use existing data as part of Tray.io automations.
Enable custom logic
Use existing data to drive custom logic in Tray.io.
Frequently Asked Questions
How do you integrate your Go app with Tray.io?
With Rudderstack, integration between Go SDK and Tray.io is simple. Set up a Go SDK source and start sending data.
Is it expensive to integrate Go SDK with Tray.io?
How long does it take to integrate Go SDK with Tray.io?
Timing can vary based on your tech stack and the complexity of your data needs for Go SDK and Tray.io.
RudderStack Go SDK Documentation
Refer to our step-by-step guide and start using Go SDK today
Tray.io is a leading automation and API integration platform for modern enterprises. It allows you to integrate and bring together your tech stack and automate workflows and processes with its visual editor. From setting up simple point-to-point integrations to building complex workflows using a predetermined conditional logic, Tray.io allows you to design a robust data flow across different teams for all your use cases. With Tray.io, you can essentially automate your entire organization without having to strain your development resources.
About Go SDK
RudderStack’s open source Go SDK allows you to track your customer event data from your Go code. Once you enable the SDK, the event requests hit the RudderStack servers. RudderStack then routes the events to the specified destination platforms as configured by you. The Go SDK uses a tunable buffer to batch the incoming messages and is highly optimized for throughput and reduced network activity.