Genesys Cloud - Developer Community!

Hey everyone 👋

Quick question for the Genesys Cloud developers and architects in the room: How are you handling version control and CI/CD for Genesys Cloud Functions consumed via Function Data Actions?

As business logic evolves, I'm curious about the best strategies for managing versions and safely promoting changes across environments without breaking anything in production.

A few specific things I'm wondering about:

• Source Control: Are you using standard GitHub/GitLab workflows (branches, tags, releases) for your Function code?
• Environments & Automation: How are you handling deployments across Dev, Test, and Prod? Are you using CX as Code, Terraform, custom CI/CD pipelines, or something else?
• Safety Net: What does your rollback strategy look like when a bad release makes it to production?

I'd love to hear how you're handling this in real-world production environments. What has worked well for your team, and what turned out to be a headache? 😅

Thanks for sharing your experience!

Hi Camilo,

We've taken a fairly simple approach that has worked well for our team.

• Source control: Each Genesys Function has its own Bitbucket repository, with feature branches, pull requests, and peer reviews before merging.
• Promotion: We develop and validate in our non-production environment before promoting changes to production.
• Rollback: Every change is committed to Git, so if an issue is identified we can quickly redeploy a previous known-good version.

One thing we've found particularly valuable is using Genesys Functions to centralise external integration logic rather than embedding it directly in Scripts. It keeps the Scripts much cleaner, simplifies maintenance, and provides better error handling and troubleshooting.

I recently wrote about our experience implementing this pattern for external record creation and assignment, which may be useful for anyone exploring Functions with Scripts:

https://community.genesys.com/viewdocument/using-genesys-functions-in-scripts-for-external-record-creation-and-assignment?CommunityKey=a39cc4d6-857e-43cb-be7b-019581ab9f38&tab=librarydocuments

I'd also be interested to hear how others are handling CI/CD for Functions.

Thanks, Phaneendra! This is really helpful.

I especially like the approach of having a separate repository for each Function and using feature branches and PR reviews before promoting changes. The Git-based rollback strategy also makes a lot of sense.

One thing I'm curious about: how do you handle the versioning of the Function itself in Genesys Cloud when promoting releases? Do you keep a version/tag in Git that maps to a specific deployed Function version, or do you have another mechanism to make sure you can easily identify exactly which Git commit is running in each environment?

I'll definitely take a look at the article you shared as well. Thanks for the detailed response!

Thanks! That’s a great question.

At the moment, our rollback strategy is based on source control. Since our Function code is maintained in Bitbucket, we can redeploy a previous known-good version if an issue is identified.

We don’t currently maintain a direct version mapping within Genesys Cloud itself, as Functions don’t natively provide that level of traceability. Introducing Git release tagging is something we’re looking at to strengthen the link between source code and deployments as our use of Functions grows.

Out of curiosity, how are you handling that traceability between Git and deployed Functions in your environment?