Skip to main content
Version: 1.0.0

Hello Katonic


Katonic MLOPS Platform runs in your Kubernetes cluster, and the infrastructure can be managed with Kubernetes native tools like kubectl. To simplify the deployment and configuration of Katonic services, we provide an installation automation tool using Kustomize to deploy Katonic into your compatible cluster. If you already have a Kubenetes cluster go ahead and deploy Katonic Directly ( Link to Deploy )

In this Section, you got your first real taste of Katonic. We will give instructions to get the MLOps Platform and will covere a simple end-to-end example with the standard MNIST, allowing you to see the different core components of Katonicin action. We will introduce the pipeline, which ties all of Katonic together, and you used it to train your model.

14 Days Free Trial#

To setup your account and start using the platform, follow these steps:

  • Continue to try.katonic.ai and click on Sign up now to set up a new account and register with your credentials

  • On the sign-up page, enter your details and proceed to sign up. Verify your email address by clicking on the link sent to the registered email.

  • Continue to try.katonic.ai and login by entering your credentials on the Login screen.

  • Congratulations! You have successfully setup your account and are ready to use the platform.

Community Trial#

Setup Environment#

Minikube

Setting up cluster with Minikube.

AWS EKS

Setting up cluster in Amazon Web Services

Azure AKS

Setting up cluster in Microsoft Azure

GCP GKS

Setting up cluster in Google cloud project

On Prem

Once done with cluster follow deployment steps

Deployment

Training and Deployment of a model#

Training and Monitoring Progress#

Image 1

Figure- Katonic web UI

Click pipeline you should see the Pipelines web UI, as in figure

Image 2

Figure- Pipelines web UI

From here we can upload our pipeline.

Image 3

There two ways to do that:

Download sample pipleine from here and upload

Image 9

Import pipeline from the URL here

Image 10

we can use the same web UI to create a run of the pipeline. After you click the upload pipeline you’ll be able to create a run, as shown in figure

Image 8

Figure- Pipeline detail page

Test Query#

Finally, let’s query our model and monitor the results. A “housing” is a simple test to ensure our model is a simple test to ensure our model is making predictions that are theoretically reasonable. For examples-- we’re attempting to guess what is the price of house.

Katonic Pipelines#

Image 4

Figure- Katonic piplines UI: prepackaged pipelines

Clicking a specific pipeline will show its execution graph or source, as seen in Figure

Image 5

Figure- Katonic pipelines UI: pipeline graph view

Clicking the YAML tab will show the pipeline’s compiled code, which is a YAML file

In this area you are welcome to experiment with running pipelines to get a better feel for their execution and the capabilities of the Pipelines UI.

Image 6

Figure- Katonic pipelines UI: pipeline view

To run the pipeline, click the “Create run” button and follow the instructions on the screen.

Image 7

Figure- Katonic visualizaton of preprocessing container in pipeline