gke - configuring cluster node blue-green upgrade (new features)

We can configure our cluster's node to support blue-green upgrade. A blue green upgrade will ensure you workload able to rollback to the older nodepool if deployment is not successful. 

You can setup that up by creating a cluster (manual) and configuring the nodepool and selecting the blue-green upgrade option. (more details here)



If you would like to use command to do it

gcloud container node-pools update default-pool \                                                                           
    --cluster=cluster-1 \
    --zone=australia-southeast1-a \
    --enable-blue-green-upgrade

Updating node pool default-pool... Updating default-pool, processed 0 out of 3 nodes (0.0%)...done.                                                                                                                
And if you would like to check using gcloud command :- 



If you have existing cluster you can ugrade it 
gcloud container clusters create-auto private-cluster-1 \
    --create-subnetwork name=my-subnet-1 \
    --enable-master-authorized-networks \
    --enable-private-nodes

gcloud container clusters create-auto private-cluster-1 \
    --create-subnetwork name=my-subnet-1 \
    --enable-master-authorized-networks \
    --enable-private-nodesgcloud container clusters create-auto private-cluster-1 \
    --create-subnetwork name=my-subnet-1 \
    --enable-master-authorized-networks \
    --enable-private-nodes

Here are some handy command when dealing with node upgrade

List upgrade operations 

gcloud container operations list \
      --location=CONTROL_PLANE_LOCATION
gcloud container clusters create-auto private-cluster-1 \
    --create-subnetwork name=my-subnet-1 \
    --enable-master-authorized-networks \
    --enable-private-nodes
gcloud container operations list \
      --location=CONTROL_PLANE_LOCATION
gcloud container operations list \
      --location=CONTROL_PLANE_LOCATION

Cancel upgrade operations 

gcloud container operations cancel OPERATION_ID \
      --location=CONTROL_PLANE_LOCATION

To resume upgrade 

gcloud container clusters upgrade CLUSTER_NAME \
  --node-pool=NODE_POOL_NAME \
  --location=CONTROL_PLANE_LOCATION \
  --cluster-version VERSION
gcloud container clusters upgrade CLUSTER_NAME \
  --node-pool=NODE_POOL_NAME \
  --location=CONTROL_PLANE_LOCATION \
  --cluster-version VERSION
gcloud container clusters upgrade CLUSTER_NAME \
  --node-pool=NODE_POOL_NAME \
  --location=CONTROL_PLANE_LOCATION \
  --cluster-version VERSION
gcloud container clusters upgrade CLUSTER_NAME \
  --node-pool=NODE_POOL_NAME \
  --location=CONTROL_PLANE_LOCATION \
  --cluster-version VERSION
gcloud container clusters upgrade CLUSTER_NAME \
  --node-pool=NODE_POOL_NAME \
  --location=CONTROL_PLANE_LOCATION \
  --cluster-version VERSION




Comments

Post a Comment

Popular posts from this blog

NodeJS: Error: spawn EINVAL in window for node version 20.20 and 18.20

Encounter this issue when running autorest (that uses nodejs).  I am using node version:  v18.20.2 After i revert to use node v18.12.0, then i was able to get my app to run without this error. Since i am working with Azure devops yaml, i was able to use the following to resolve my issue.  - task : NodeTool@0   inputs :     versionSource : 'spec'     versionSpec : '18.18.0'
Read more

llama cpp running it in google colab

Image
There are 2 options to do this in Google  colab.  Option 1 (Easiest)  With this option, we can just install the relevant package and then run the model.  First we need to install the required packages using the following command:-  ! pip install -U llama-cpp-python Next,  we will try to get the model using the following command # !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained(   repo_id= "unsloth/Qwen3-0.6B-GGUF" ,   filename= "Qwen3-0.6B-IQ4_NL.gguf" , ) We can see the model being downloaded:- And then we will run the following command to test this model llm.create_chat_completion(   messages = [     {       "role" : "user" ,       "content" : "What is the capital of France?"     }   ] ) And the output will look something like this:-  Option 2 llama.cpp is a powerful inference engine and if you wanted to get it running in google colab, you co...
Read more