Connect Buildkite and metatext to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Buildkite
Choose an Action
Automatically do this!
- Request a new Action for metatext
Enable Integrations or automations with these events of Buildkite and metatext
Enable Integrations or automations with these events of Buildkite and metatext
Actions
Create YAML Pipeline
This action creates a YAML pipeline.
Create Cluster
This action creates a new cluster for organizing build agents.
Update YAML Pipeline
This action updates exisiting YAML Pipeline.
Delete Pipeline By Slug Name
Delete Exisiting Pipeline By Name.
Search Cluster By Name
This action search cluster by name.
Update Cluster
This action updates the cluster.
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Frequently Asked Questions
To start, connect both your Buildkite and metatext accounts to viaSocket. Once connected, you can set up a workflow where an event in Buildkite triggers actions in metatext (or vice versa).
Absolutely. You can customize how Buildkite data is recorded in metatext. This includes choosing which data fields go into which fields of metatext, setting up custom formats, and filtering out unwanted information.
The data sync between Buildkite and metatext 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 Buildkite and metatext. 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.
About Buildkite
Buildkite is a platform that provides powerful and scalable continuous integration and continuous delivery (CI/CD) pipelines. It allows developers to automate their software development processes, from testing to deployment, ensuring high-quality code and faster release cycles.
Learn MoreAbout metatext
Metatext is a easy to use AI tool to create and manage robust language models for classification, extraction and generation tasks.
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