Building an MLOps pipeline with Dagger.io and KitOps

• checkout

  72 5,961 7.7 TypeScript

  Action for checking out a repo

  

  Whenever you make a change and push it to the master branch, the CI/CD pipeline is triggered. This pipeline checks out of the GitHub repository, installs Kit, unpacks the Phi3 model into the directory specified in your Kitfile, and runs the Dagger pipeline on Dagger Cloud.

• SaaSHub

  www.saashub.com featured

  SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

  

• hub-feedback

  412 235 2.4

  Feedback and bug reports for the Docker Hub

  

  - **A container registry:** You can use [Jozu Hub](https://jozu.ml), [the GitHub Package](https://docs.github.com/en/packages/learn-github-packages/introduction-to-github-packages) registry, or [DockerHub](https://hub.docker.com/). This guide makes use of the Jozu Hub. - **Code hosting platforms:** You can use GitHub or GitLab. - **KitOps:** Here’s a [guide to install](https://kitops.ml/docs/cli/installation.html)[ing](https://kitops.ml/docs/cli/installation.html) [KitOps](https://kitops.ml/docs/cli/installation.html). - **Dagger.io:** Install **Dagger.io** [by](https://docs.dagger.io/install) [following these instructions](https://docs.dagger.io/install). Dagger Cloud will be used to allow you to gain more insights into your Dagger pipelines. - **Docker:** Install Docker locally by [following the steps in this guide](https://docs.docker.com/engine/install/).

• dagger

  103 11,534 9.9 Go

  An engine to run your pipelines in containers (by dagger)

  

  To address this we use MLOps pipelines that incorporate version control, CI/CD (continuous integration and continuous delivery), model monitoring, and integration testing. In this post, we want to show you how Dagger.io and KitOps can be used to create an ML pipeline to get your AI projects to production.

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