There are so many stuff to learn from your videos and all content is well organized. thanks

Krish, wow. What a useful info Yaar. You are doing such a great service making these buzzing technologies so simple

Finally.... Thank you so much Krish!

Thank you Krish, for this amazing tutorial

Amazing explanation Krish. You made it simple and easy.thank u

thank u so much sir for sharing this project details and making us understand it.

You move to another level. Congrat!

Excellent sir 👍👍

Thank you so much Krish...

Thank you so much for this informative video

Thank you for this tutorial!

awesome job buddy ! i was able to successfully deploy it

Thanks for making this video...

Thanks for great tutorial

awesome!!

Nice video. Instead of GCP, can you please make video with implementation local system i.e normal windows machine with kubernetes and docker images as continuation of the previous tutorial.

Thanks sir love you

Thanks a lot!!

Great video, I would like to add that we can also deploy it in kubernetes using yaml file for both deployment and exposing the service. Also It would be great if you make a video on to create a automated ml pipeline workflow which involves kubeflow(In kubernetes) and Apache Airflow so that the ml model can be recreated after every time span . Thanks Krish :)

Thanks Krish

Great title....should be a great video...watching now😁😍

Scaling the application using kuberenetes is missing here pls implement that part also by setting pods

Sir please upload a Kubernetes tutorial. Having problem in understanding few concepts.

Thanks a lot Sir.. can you pls do a video on kubeflow ?

Please make a video on Bert...

That's what i was waiting for

In all these examples of dockers and containers for ML pipeline, I do not see any projects where the data set was also uploaded with the image, and consumed in the ML code, here also it is Pycaret inbuilt data set, would be very interested in seeing how data set are loaded as part of the package and then consumed, by the ML model.

Krish Sir it is my humble request to make video on how to deploy docker on Amazon sagemaker instance notebook.And (customized ML model)which is inside docker after deployment on aws sagemeker instance how to retrain it and test on news testing dataset. Please if possible for you kindly make this video i will be really grateful to you .Thanks and regards

This is very easy in gcp In aws it is little complex

Is a cluster of node size 1 equivalent to hosting the app on a single vm?

Krish sir, Please make video on kubeflow

Pod creation does not work on both local and GCP cloudshell also....I tried like10 times....there seems to be an unresolvable issue in pod creation (CrashLoopBackOff)

Delete the Kubernetes cluster to stop the gcloud instance because kubernetes will restart the instance if only gcloud is stopped.

hi Krish can you upload video to deploy pipeline in kubeflow?

Sir can we deploy this code in heroku is it able to deal with docker

Make video for full stack web development

Thanks for the step by step process. After deployment and exposure of the api the url is not working. curl command returning.. connection refused. any body knows a solution to this

Hello, I followed all the step and did it again, but i can't expose to the internet. it did show a external ip with commend kubectl get service. But its refuse to connect from internet. i did check firewall and there is still a work.

Is this video is continuation of docker playlist..?

PROJECT-ID-Kubernetes-296012': not a valid identifier. I'm getting this error. Can anyone help me out of this?

whe i push my docker image docker push gcr.io/${PROJECT_ID}/insurance-app:v1 it give me error unknown: Project 'project:pycaret-kubernetes-demo' not found or deleted. plz help

ResponseError: code=403, message=Insufficient regional quota to satisfy request: resource "SSD_TOTAL_GB" -- how to fix this?

*Major problem with GCP is it wont allow indian debit cards.*

not wokring man

Hi! great video! I have almost done all the steps, but finally I am unable to check the result AME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE insurance-app LoadBalancer 10.35.253.169 34.121.225.58 80:30577/TCP 19m but web page is not availabe. Hovewer, ping from local cmd worked fine. What is thr reason? Ping statistics for 34.121.225.58: Packets: Sent = 4, Received = 4, Lost = 0 (0% loss),