We are done with the connection of K8’s with Jenkins
So Now our first step will be we will create a document and will go inside it
Step2:
>>Initialize the git by using the git init command
>>Set the branch as master
>>add your git remote origin
I just created a sample text doc to see if everything is working fine
>>Now add the current dir that is test.txt
>>Use git commit and commit your file
>>Push it in the master branch
Wohooo…Your test.txt is committed
>>Your next step would be add the .pk1 file of your model in the same folder
>>again add this in our git repo
>>Now commit the current .pk1 file
>>push the file in the repo
>>Go to Jenkins and do the following configurations :
>>Create a new freestyle job and in SCM , click the Git option and write the URL of your Repository
Following is my markscode.py file
I ll do the same procedure of add, commit and push with the markscode.py file too
As you can see in your workspace, All the files are present
>>Next step would be to create a Dockerfile ,
And create the Dockerfile in you local Vm as well where jenkins is running in / drive
This is the Dockerfile.
Now, check the status,
You will see that the file is saved as Docker.txt, but this is a Dockerfile so it shouldn’t be in text format to save this as a Dockerfile in windows use “ ” double quotes while saving
Now this will be saved as Dockerfile
Do the necessary git configurations as required
Build the Job again and now Dockerfile will be available in jenkins workspace
Now in the execute shell follow the steps given below to build docker image from the Dockerfile
We used sudo and jenkins is a user and it don't have that much power
VOila!!! Our image is running successfully inside Jenkins
>>Now you have to tag this image with your docker hub username so as to you can upload your image in dockerhub
>>So we renamed it as my image name
divyajain202/mlopsproj:v1
>>Push the docker image in dockerhub
This is achieved successfully
Your image is there in the dockerhub!!
Now create a k8’s deployment with your own ML image that you created just now
Add the kubectl command as shown below
Finally k8’s deployment is created
Voila !! We have achieved this
My DockerImage=divyajain202/mlopsproj
Github link:https://github.com/Divya-2001/mymodelws.git
