Kubernetes Flask App end to end Deployment With Microservices

Introduction:-

Kubernetes is a powerful container orchestration tool that enables developers to deploy, manage, and scale containerized applications. While Kubernetes is designed to be easy to use, it's not without its challenges, and troubleshooting is a critical skill that all Kubernetes users must possess. In this blog, we'll explore some common Kubernetes troubleshooting techniques that you can use to diagnose and fix issues with your Kubernetes clusters.

Prerequisites for deployment-

1. Update the system and install docker:

sudo apt update -y
sudo apt install docker.io -y

sudo systemctl start docker
sudo systemctl enable docker

1. Kubeadm installation:

sudo curl -fsSLo /usr/share/keyrings/kubernetes-archive-keyring.gpg https://packages.cloud.google.com/apt/doc/apt-key.gpg

echo "deb [signed-by=/usr/share/keyrings/kubernetes-archive-keyring.gpg] https://apt.kubernetes.io/ kubernetes-xenial main" | sudo tee /etc/apt/sources.list.d/kubernetes.list

sudo apt update -y
sudo apt install kubeadm=1.20.0-00 kubectl=1.20.0-00 kubelet=1.20.0-00 -y

1. To connect with the cluster(for the master node):

sudo su
kubeadm init

  mkdir -p $HOME/.kube
  sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
  sudo chown $(id -u):$(id -g) $HOME/.kube/config

kubectl apply -f https://github.com/weaveworks/weave/releases/download/v2.8.1/weave-daemonset-k8s.yaml

kubeadm token create --print-join-command

1. To connect with the cluster(for the Worker node):

sudo su
kubeadm reset pre-flight checks
(*Paste the Join command on worker node and append `--v=5` at end*)
(*kubeadm token create --print-join-command*)

1. To verify cluster connection:-

kubectl get nodes

Let's dive into our deployment------>

Clone the repo:-

1. create the docker file

    vim Dockerfile
   

   1. configuration of the docker file

    FROM python:alpine3.7
    COPY . /app
    WORKDIR /app
    RUN pip install -r requirements.txt
    ENV PORT 5000
    EXPOSE 5000
    ENTRYPOINT [ "python" ]
    CMD [ "app.py" ]

3. Now we will make a new file vim taskmaster.yml

apiVersion: apps/v1
kind: Deployment
metadata:
  name: taskmaster
  labels:
    app: taskmaster
spec:
  replicas: 1
  selector:
    matchLabels:
      app: taskmaster
  template:
    metadata:
      labels:
        app: taskmaster
    spec:
      containers:
        - name: taskmaster
          image: gauriyadav1504/gauri-micro:latest
          ports:
            - containerPort: 5000
          imagePullPolicy: Always

1. Check whether the nodes are ready or not!!

sudo kubectl get nodes

5. Check whether the pod is running or not: -

sudo kubectl get pods

6. Run the taskmaster yml file:-

1. 7 . Scale the taskmaster:-

1. 8 . make taskmaster service vim taskmaster-svc.yml

   

    kind: Service
    metadata:
      name: taskmaster-svc
    spec:
      selector:
        app: taskmaster
      ports:
        - port: 80
          targetPort: 5000
          nodePort: 30007
      type: NodePort
   

2. 9 . Run the taskmaster service file:-

1. 10 . Run the Mongo persistent volume file:-

1. 11 . Claim persistent volume:-

1. 12 . Run the Mongo yml file:-

1. 13 . Run the Mongo svc file:-

1. 14 . Check whether the clusters are running or not:-

1. 15 . Change the inbound rules:-

Finally, just copy the public IP of the worker node and check in Postman whether it's running on not!

!!!!!!!!!YOU DID IT!!!!!!!!!!!!!!!!!!

Thank you!

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