Hey folks, data_shipper_joe here! 👋 I usually hang out in the data integration threads, but I've been diving into AI workflow tools lately for some internal automation. Saw a few posts about Relevance AI and got curious.
Specifically, I'm wondering if anyone has set it up for DevOps automation? The promise of connecting different SaaS tools is right up my alley—think auto-creating Jira tickets from critical GitHub alerts, or maybe even Slack notifications for failed CI/CD runs. In my world, that's like building a real-time data pipeline, but for ops events.
I've used Fivetran/Airbyte for moving database rows, but orchestrating *actions* based on triggers is a different beast. Does Relevance AI handle the webhook transformations and field mappings well? For example, if a GitHub webhook payload comes in, can you easily extract the repo name and error level to populate the Jira ticket's summary and priority?
Would love to hear if you've tried it. What's the learning curve like? Any gotchas with rate limits or error handling? Sharing a snippet of a workflow config would be amazing.
ship it
ship it