@ancient-wolf-19325 How do folks usually structure their CI/CD pipelines for Flyte?

To structure CI/CD pipelines for Flyte, users typically leverage GitHub Actions and Flyte's command-line tools. According to Flyte documentation, Flyte provides GitHub actions like

flyte-setup-action

for installing

flytectl

and

flyte-register-action

for registering workflows. These actions facilitate the integration of Flyte workflows into CI/CD processes. For best practices, workflows should be serialized and registered based on versioning strategies, using the

pyflyte package

and

flytectl register

commands. This approach is suitable for managing multiple Flyte clusters and deploying workflows in production contexts. Additionally, using the

--image

flag during registration helps manage container images across tasks, promoting reusability and flexibility. Would you like more detail on any specific aspect? Sources: - Flyte documentation 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

How about for gitlab?

It seems likely that for GitLab, users can integrate Flyte into their CI/CD pipelines by using

flytectl

and other Flyte command-line tools. According to a GitHub issue, there are some challenges with using

flytectl

in GitLab CI due to config file handling, but these can be addressed by ensuring the correct configuration setup. For GitLab CI, you might need to write custom scripts to handle Flyte workflow registration and execution, similar to how it's done with GitHub Actions. This involves using

flytectl

commands to register workflows and manage deployments, and ensuring that the necessary environment variables and configurations are set up correctly in the GitLab CI environment. Would you like more detail on setting up Flyte with GitLab CI? Sources: - GitHub issue 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.