OCI Basics – Putting Data into Object Storage OCI

The Object Storage service provides reliable, secure, and scalable object storage. Object storage is a storage architecture that stores and manages data as objects. Some typical use cases include data backup, file sharing, and storing unstructured data like logs and sensor-generated data.

Creating a Bucket

  1. Open the navigation menu and click Storage. Under Object Storage, click Buckets.A list of the buckets in the compartment you’re viewing is displayed.
  2. Select a compartment from the Compartment list on the left side of the page.A list of existing buckets is displayed.
  3. Click Create Bucket.
    • Bucket Name
    • Default Storage Tier: Select the default tier in which you want to store your data
      • Standard is the primary, default storage tier Use the Standard tier for storing frequently accessed data that requires fast and immediate access.
      • Archive is the default storage tier used for archive storage, Use the Archive tier for storing rarely accessed data that requires long retention periods. Access to data in the Archive tier is not immediate. Archived data must be restored before the data is accessible.
      • Object Events: Select Emit Object Events if you want to enable the bucket to emit events for object state changes. For more information about events.
      • Encryption: Buckets are encrypted with keys managed by Oracle by default, but you can optionally encrypt the data in this bucket using your own Vault encryption key. To use Vault for your encryption needs, select Encrypt Using Customer-Managed Keys

Uploading Files to a Bucket

To upload files to your bucket using the Console:

  1. From the Object Storage Buckets screen, click the bucket name to view its details.
  2. Click Upload.
  3. In the Object Name Prefix field, optionally specify a file name prefix for the files that you plan to upload.
  4. If the Storage Tier field displays Standard, you can optionally change the storage tier to upload objects to.



Launching Windows Instance on OCI

In this post  I will show you how to launch and connect to a Windows instance.

  • Create a cloud network and subnet that enables internet access
  • Launch an instance
  • Connect to the instance
  • Add and attach a block volume

I already posted a post how to Launch Linux Instance on OCI here, in the post you will have to follow the first two steps which is creating

  • Choose a compartment for your resources.
  • Create a cloud network.

Once you are done, you can start with steps #3 which will allow you to launch a instance – windows one.

  1. Open the navigation menu and click Compute. Under Compute, click Instances.
  2. Click Create instance.
  3. In the Placement section, accept the default Availability domain.
  4. In the Image and shape section, do the following:
    • In the Image source list, select Platform images.
    • Select Windows. Then, in the OS version list, select Server 2019 Standard.
    • Review and accept the terms of use, and then click Select image.
  5. In the Shape section, click Change Shape. Then, do the following:
    • For Instance type, accept the default, Virtual machine.
    • For Shape series, select AMD, and then choose either the VM.Standard.E4.Flex shape or the VM.Standard.E3.Flex shape (it doesn’t matter which). Accept the default values for OCPUs and memory.
    • The shape defines the number of CPUs and amount of memory allocated to the instance.
  6. In the Networking section, configure the network details for the instance. Do not accept the defaults.
    • For Primary network, leave Select existing virtual cloud network selected.
    • Select the cloud network that you created. If necessary, click Change Compartment to switch to the compartment containing the cloud network that you created.
  7. In the Boot volume section, leave all the options cleared.

Your instance now is ready.

Connect to the windows instance done by using Remote desktop, enter the public ip, username which is (opc), and the password.



Using PersistentVolumes in Kubernetes

PersistentVolumes provide a way to treat storage as a dynamic resource in Kubernetes. This lab will allow you to demonstrate your knowledge of PersistentVolumes. You will mount some persistent storage to a container using a PersistentVolume and a PersistentVolumeClaim.

Create a custom Storage Class by using “`vi localdisk.yml`.

apiVersion: storage.k8s.io/v1 
kind: StorageClass 
  name: localdisk 
provisioner: kubernetes.io/no-provisioner
allowVolumeExpansion: true

Finish creating the Storage Class by using kubectl create -f localdisk.yml.
Create the PersistentVolume by using vi host-pv.yml.

kind: PersistentVolume 
apiVersion: v1 
   name: host-pv 
   storageClassName: localdisk
   persistentVolumeReclaimPolicy: Recycle 
      storage: 1Gi 
      - ReadWriteOnce 
      path: /var/output

Finish creating the PersistentVolume by using kubectl create -f host-pv.yml.

Check the status of the PersistenVolume by using kubectl get pv

Create a PersistentVolumeClaim

Start creating a PersistentVolumeClaim for the PersistentVolume to bind to by using vi host-pvc.yml.

apiVersion: v1 
kind: PersistentVolumeClaim 
   name: host-pvc 
   storageClassName: localdisk 
      - ReadWriteOnce 
         storage: 100Mi

Finish creating the PersistentVolumeClaim by using kubectl create -f host-pvc.yml.

Check the status of the PersistentVolume and PersistentVolumeClaim to verify that they have been bound:

kubectl get pv
kubectl get pvc

Create a Pod That Uses a PersistentVolume for Storage

Create a Pod that uses the PersistentVolumeClaim by using vi pv-pod.yml.

apiVersion: v1 
kind: Pod 
   name: pv-pod 
      - name: busybox 
        image: busybox 
        command: ['sh', '-c', 'while true; do echo Success! > /output/success.txt; sleep 5; done'] 

Mount the PersistentVolume to the /output location by adding the following, which should be level with the containers spec in terms of indentation:

 - name: pv-storage 
      claimName: host-pvc

In the containers spec, below the command, set the list of volume mounts by using:

- name: pv-storage 
  mountPath: /output 

Finish creating the Pod by using kubectl create -f pv-pod.yml.

Check that the Pod is up and running by using kubectl get pods.

If you wish, you can log in to the worker node and verify the output data by using cat /var/output/success.txt.

Exposing Kubernetes Pods Using Services

Kubernetes Services are a great way to combine Kubernetes networking with the dynamic and often automated nature of Kubernetes applications. In this lab, you will use Services to expose existing Kubernetes Pods. This will allow you to practice your skills with Kubernetes Services.

Expose the Pods f as an Internal Service

apiVersion: v1 
kind: Service 
  name: user-db-svc 
  type: ClusterIP 
    app: user-db 
  - protocol: TCP 
    port: 80 
    targetPort: 80

Expose the Pods as an External Service

apiVersion: v1 
kind: Service 
  name: web-frontend-svc 
  type: NodePort 
    app: web-frontend 
  - protocol: TCP 
    port: 80 
    targetPort: 80 
    nodePort: 30080

Create a Manifest for a Static Pod

Static pods are a great way to run a pod on a single node without the involvement of the Kubernetes control plane. In this lab, you will have a chance to exercise your knowledge of static pods by creating them in an existing cluster.

sudo vi /etc/kubernetes/manifests/example.yml

Anything under this path will be managed by kubelet.

Add the following line

apiVersion: v1
kind: Pod
  name: beebox-diagnostic
  - name: nginx
    image: nginx:1.14
    - containerPort: 80

Restart kubelet to start the static pod:

sudo systemctl restart kubelet

Now if you try to delete it will work because it’s managed by kubelet.


Passing Configuration Data to a Kubernetes Container

One of these applications is a simple Nginx web server. This server is used as part of a secure backend application, and the company would like it to be configured to use HTTP basic authentication.

This will require an htpasswd file as well as a custom Nginx config file. In order to deploy this Nginx server to the cluster with good configuration practices, you will need to load the custom Nginx configuration from a ConfigMap (this already exists) and use a Secret to store the htpasswd data.

Create a Pod with a container running the nginx:1.19.1 image. Supply a custom Nginx configuration using a ConfigMap, and populate an htpasswd file using a Secret.

Generate an htpasswd file:

htpasswd -c .htpasswd user

View the file’s contents:

cat .htpasswd

Create a Secret containing the htpasswd data:

kubectl create secret generic nginx-htpasswd --from-file .htpasswd

Delete the .htpasswd file:

rm .htpasswd

Create the Nginx Pod

Create pod.yml:

apiVersion: v1
kind: Pod
  name: nginx
  - name: nginx
    image: nginx:1.19.1
    - containerPort: 80
    - name: config-volume
      mountPath: /etc/nginx
    - name: htpasswd-volume
      mountPath: /etc/nginx/conf
  - name: config-volume
      name: nginx-config
  - name: htpasswd-volume
      secretName: nginx-htpasswd

View the existing ConfigMap:

kubectl get cm

we need to create the configMap for nginx-config:-

apiVersion: v1
kind: ConfigMap
  name: nginx-config
 nginx.conf: |
   user  nginx;
    worker_processes  1;

    error_log  /var/log/nginx/error.log warn;
    pid        /var/run/nginx.pid;

     events {
       worker_connections  1024;
     http {
      server {
        listen       80;
        listen  [::]:80;
        server_name  localhost;
        location / {
            root   /usr/share/nginx/html;
            index  index.html index.htm;
        auth_basic "Secure Site";
        auth_basic_user_file conf/.htpasswd;

Get more info about nginx-config:

kubectl describe cm nginx-config

Apply the pod

kubectl apply -f pod.yml

Within the existing busybox pod, without using credentials, verify everything is working:

kubectl exec busybox -- curl <NGINX_POD_IP>

We’ll see HTML for the 401 Authorization Required page — but this is a good thing, as it means our setup is working as expected.

curl: (6) Couldn't resolve host 'user'
  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed
100   179  100   179    0     0  62174      0 --:--:-- --:--:-- --:--:-- 89500
<head><title>401 Authorization Required</title></head>
<center><h1>401 Authorization Required</h1></center>

Run the same command again using credentials (including the password you created at the beginning of the lab) to verify everything is working:

kubectl exec busybox -- curl -u user:<PASSWORD> <NGINX_POD_IP>
  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed
100   612  100   612    0     0  48846      0 --:--:-- --:--:-- --:--:-- 51000
<!DOCTYPE html>
<title>Welcome to nginx!</title>
    body {
        width: 35em;
        margin: 0 auto;        font-family: Tahoma, Verdana, Arial, sans-serif;
<h1>Welcome to nginx!</h1>
<p>If you see this page, the nginx web server is successfully installed and
working. Further configuration is required.</p>

<p>For online documentation and support please refer to
<a href="http://nginx.org/">nginx.org</a>.<br/>
Commercial support is available at
<a href="http://nginx.com/">nginx.com</a>.</p>

<p><em>Thank you for using nginx.</em></p>



Backing up and Restoring Kubernetes Data in etcd

Backups are an important part of any resilient system. Kubernetes is no exception. In this post , I will show you how to backup/restore kubernetes data.

Back Up the etcd Data

  1. Look up the value for the key cluster.name in the etcd cluster:
ETCDCTL_API=3 etcdctl get cluster.name \
  --endpoints= \
  --cacert=/home/cloud_user/etcd-certs/etcd-ca.pem \
  --cert=/home/cloud_user/etcd-certs/etcd-server.crt \

2. Back up etcd using etcdctl and the provided etcd certificates:

ETCDCTL_API=3 etcdctl snapshot save /home/cloud_user/etcd_backup.db \
  --endpoints= \
  --cacert=/home/cloud_user/etcd-certs/etcd-ca.pem \
  --cert=/home/cloud_user/etcd-certs/etcd-server.crt \

3. Reset etcd by removing all existing etcd data

Note: you don’t have to do this step if this is production, I am only doing this to show how to restore the data.

sudo systemctl stop etcd
sudo rm -rf /var/lib/etcd

Restore the etcd Data from the Backup

  1. Restore the etcd data from the backup (this command spins up a temporary etcd cluster, saving the data from the backup file to a new data directory in the same location where the previous data directory was):
sudo ETCDCTL_API=3 etcdctl snapshot restore /home/cloud_user/etcd_backup.db \
  --initial-cluster etcd-restore= \
  --initial-advertise-peer-urls \
  --name etcd-restore \
  --data-dir /var/lib/etcd

2. Set ownership on the new data directory

sudo chown -R etcd:etcd /var/lib/etcd

3. Start etcd

sudo systemctl start etcd

4. Verify the restored data is present by looking up the value for the key cluster.name again:

ETCDCTL_API=3 etcdctl get cluster.name \
  --endpoints= \
  --cacert=/home/cloud_user/etcd-certs/etcd-ca.pem \
  --cert=/home/cloud_user/etcd-certs/etcd-server.crt \



Upgrade k8s using kubeadm

First, upgrade the control plane node

Drain the control plane node.

kubectl drain master-node-name --ignore-daemonsets

Upgrade kubeadm.

sudo apt-get update && \
sudo apt-get install -y --allow-change-held-packages kubeadm=version

kubeadm version

Plan the upgrade.

sudo kubeadm upgrade plan v-version (for example v1.24.2)

Upgrade the control plane components.

sudo kubeadm upgrade apply v1.22.2

Upgrade kubelet and kubectl on the control plane node.

sudo apt-get update && \
sudo apt-get install -y --allow-change-held-packages kubelet=version kubectl=version 

Restart kubelet.

sudo systemctl daemon-reload
sudo systemctl restart kubelet

Uncordon the control plane node.

kubectl uncordon master-node-name

Verify that the control plane is working

Note:- you should not perform upgrades on all worker nodes at the same time. Make sure enough nodes are available at any given time to provide uninterrupted service.

Worker nodes

Run the following on the control plane node to drain worker node 1:

kubectl drain worker1-node-name --ignore-daemonsets --force

Log in to the first worker node, then Upgrade kubeadm.

sudo apt-get update && \ sudo apt-get install -y --allow-change-held-packages kubeadm=version

Upgrade the kubelet configuration on the worker node.

sudo kubeadm upgrade node

Upgrade kubelet and kubectl on the worker node.

sudo apt-get update && \ sudo apt-get install -y --allow-change-held-packages kubelet=version kubectl=verion

Restart kubelet.

sudo systemctl daemon-reload 
sudo systemctl restart kubelet

From the control plane node, uncordon worker node 1.

kubectl uncordon worker1-node-name

Repeat the upgrade process for worker nodes.



k8s management tools

There is a variery of management tools that allow you to manage k8s and make your life much easier to proivde extra additional features.

  • kubectl

the official command line interface for k8s, this is the main method to interact you will use.

  • kubeadm

tools that allow you to setup control plane.

  • MiniKube

tool that runs a single-node Kubernetes cluster locally on your workstation for development and testing purposes.

Very simple tools you can find it here.

  • Helm

tool for managing packages of pre-configured Kubernetes resources. These packages are known as Helm charts.

Use Helm to:

  • Find and use popular software packaged as Kubernetes charts
  • Share your own applications as Kubernetes charts
  • Create reproducible builds of your Kubernetes applications
  • Intelligently manage your Kubernetes manifest files
  • Manage releases of Helm packages

  • Kompose

a tool to help Docker Compose users move to Kubernetes.

Use Kompose to:

  • Translate a Docker Compose file into Kubernetes objects
  • Go from local Docker development to managing your application via Kubernetes
  • Convert v1 or v2 Docker Compose yaml files or Distributed Application Bundles

and the last one which is kustomize.



Install k8s as one control plane and one worker node

The first thing you will need to do which is configure the two servers, either you can choose one of the following options:-

  • Cloud

Master Node Setup

Step #1

Create configuration file for containerd:

cat <<EOF | sudo tee /etc/modules-load.d/containerd.conf

After the above step, you need to load the modules.

sudo modprobe overlay
sudo modprobe br_netfilter

Step #2

Set system configurations for Kubernetes networking

cat <<EOF | sudo tee /etc/sysctl.d/99-kubernetes-cri.conf
net.bridge.bridge-nf-call-iptables = 1
net.ipv4.ip_forward = 1
net.bridge.bridge-nf-call-ip6tables = 1

Apply new settings

sudo sysctl --system

Step #3

Install Containerd

sudo apt-get update && sudo apt-get install -y containerd

Step #4

Create default configuration file for containerd

sudo mkdir -p /etc/containerd

Generate default containerd configuration and save to the newly created default file

sudo containerd config default | sudo tee /etc/containerd/config.toml

Load the new configuration

sudo systemctl restart containerd
sudo systemctl status containerd

Step #5

Disable Swap

sudo swapoff -a

Step #6

Install dependency packages:

sudo apt-get update && sudo apt-get install -y apt-transport-https curl

Download and add GPG key

curl -s https://packages.cloud.google.com/apt/doc/apt-key.gpg | sudo apt-key add -

Add Kubernetes to repository list

cat <<EOF | sudo tee /etc/apt/sources.list.d/kubernetes.list
deb https://apt.kubernetes.io/ kubernetes-xenial main

sudo apt-get update

Step #6

Install Kubernetes packages (Note: If you get a dpkg lock message, just wait a minute or two before trying the command again):

sudo apt-get install -y kubelet=1.24.0-00 kubeadm=1.24.0-00 kubectl=1.24.0-00

Just in case Turn off automatic updates

sudo apt-mark hold kubelet kubeadm kubectl

The above steps should be done on the worker node even if you have 3 or 4.

Initialize the Cluster

Initialize the Kubernetes cluster on the control plane node using kubeadm (Note: This is only performed on the Control Plane Node):

sudo kubeadm init --pod-network-cidr --kubernetes-version 1.24.0

Set kubectl access:

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

You can test your cluster by run

kubectl get nodes

Install the Calico Network Add-On

On the control plane node, install Calico Networking

kubectl apply -f https://docs.projectcalico.org/manifests/calico.yaml

Check status of the control plane node:

kubectl get nodes

Join the Worker Nodes to the Cluster

In the control plane node, create the token and copy the kubeadm join command (NOTE:The join command can also be found in the output from kubeadm init command):

kubeadm token create --print-join-command

Copy the output

Worker node Setup.

from the above command of Kubeadm join run it using sudo command.

In the control plane node, view cluster status (Note: You may have to wait a few moments to allow all nodes to become ready)

kubectl get nodes


Enjoy the DevOps