k8sgpt_installation

#Installation in mac or in different version https://github.com/k8sgpt-ai/k8sgpt
brew tap k8sgpt-ai/k8sgpt
brew install k8sgpt

# Verify the version
k8sgpt version

#Checking Help
k8sgpt --help

#Support for providers(OpenAI, Azure OpenAI, LocalAI, FakeAI) https://docs.k8sgpt.ai/reference/providers/backend/ 


# To use OpenAI you'll need an OpenAI token for authentication purposes. To generate a token use
k8sgpt generate

# To set the token in K8sGPT, use the following command:
k8sgpt auth new

# To add a backend such as openai https://github.com/k8sgpt-ai/k8sgpt/issues/528
k8sgpt auth add -b openai -m gpt-3.5-turbo 

# To list the providers
k8sgpt auth list

# Simulating the ErrImagePull pull error
kubectl create -f https://raw.githubusercontent.com/100daysofdevops/kubernetes_debugging/main/Imagepullbackoff.yaml

# Run the following command to analyze issues within your cluster using OpenAI: 
k8sgpt analyze

# If you want k8sgpt to explain problem to you
k8sgpt analyze --explain

# if you want to anonymize data before sending it to the AI backend
k8sgpt analyze --anonymize

# To manage filters that are used to analyze Kubernetes resources
k8sgpt filters list

# If you want to add additional functionality to k8sgpt you can do it via integration(Currently it only support trivy)
k8sgpt integration list

# To activate an integration
k8sgpt integration activate trivy

# Now we have the filter enabled you can use it
k8sgpt analyze --filter=VulnerabilityReport

# To install the operator https://docs.k8sgpt.ai/getting-started/in-cluster-operator/
helm repo add k8sgpt https://charts.k8sgpt.ai/
helm repo update
helm install release k8sgpt/k8sgpt-operator -n k8sgpt-operator-system --create-namespace
helm install release k8sgpt/k8sgpt-operator -n k8sgpt-operator-system --create-namespace --values values.yaml

# To create dashboard for prometheus and grafana
helm repo add prometheus-community https://prometheus-community.github.io/helm-charts
helm repo update
helm install prom prometheus-community/kube-prometheus-stack -n k8sgpt-operator-system --set prometheus.prometheusSpec.serviceMonitorSelectorNilUsesHelmValues=false


#Deploying an OpenAI secret
export OPENAI_TOKEN=" "
kubectl create secret generic k8sgpt-sample-secret --from-literal=openai-api-key=$OPENAI_TOKEN -n k8sgpt-operator-system

# Deploying a K8sGPT resource
kubectl apply -f - << EOF
apiVersion: core.k8sgpt.ai/v1alpha1
kind: K8sGPT
metadata:
  name: k8sgpt-sample
  namespace: k8sgpt-operator-system
spec:
  ai:
    enabled: true
    model: gpt-3.5-turbo
    backend: openai
    secret:
      name: k8sgpt-sample-secret
      key: openai-api-key
    # anonymized: false
    # language: english
  noCache: false
  version: v0.3.8
  # filters:
  #   - Ingress
  # sink:
  #   type: slack
  #   webhook: <webhook-url>
  # extraOptions:
  #   backstage:
  #     enabled: true
EOF

# Port forwarding Prometheus and Grafana to access it on localhost
kubectl port-forward service/prometheus-operated -n k8sgpt-operator-system 9000:9090
kubectl port-forward service/prom-grafana -n k8sgpt-operator-system 3000:80