Refactored files

This commit is contained in:
Umachandar Jayachandran
2018-10-12 13:49:58 -07:00
parent edbe2f513b
commit 8adc42f848
4 changed files with 7 additions and 4 deletions
@@ -3,7 +3,9 @@ SQL Server 2019 big data cluster is deployed as docker containers on a Kubernete
## Create a Kubernetes cluster using Kubeadm on Ubuntu 16.04 LTS or 18.04 LTS
In this example, we will deploy Kubernetes over multiple Linux machines (physical or virtualized) using kubeadm utility. These instructions have been tested primarily with Ubuntu 16.04 LTS version. If you are using Ubuntu 18.04 LTS then install of docker.io may fail with message below depending on your configuration.
In this example, we will deploy Kubernetes over multiple Ubuntu Linux machines (physical or virtualized) using kubeadm utility. These instructions have been tested with Ubuntu 16.04 LTS & 18.04 LTS versions only.
If you are using Ubuntu 18.04 LTS then install of docker.io may fail with message below depending on your configuration.
Package docker.io is not available, but is referred to by another package.
This may mean that the package is missing, has been obsoleted, or
@@ -44,10 +46,11 @@ To install docker, you can follow the steps below:
[Deploy SQL Server 2019 big data cluster on Kubernetes](https://docs.microsoft.com/en-us/sql/big-data-cluster/deployment-guidance?view=sqlallproducts-allversions)
[Creating a cluster using kubeadm](https://kubernetes.io/docs/setup/independent/create-cluster-kubeadm/)
[Troubleshooting kubeadm](https://kubernetes.io/docs/setup/independent/troubleshooting-kubeadm/)
#### Instructions
1. Execute [kubeadm/ubuntu-setup-k8s-prereqs.sh](kubeadm/ubuntu-setup-k8s-prereqs.sh/) script on each machine
1. Execute [kubeadm/ubuntu-setup-k8s-master.sh](kubeadm/ubuntu-setup-k8s-master.sh/) script on the machine designated as Kubernetes master
1. After successful initialization of the Kubernetes master, follow the kubeadm join commands output by the script on each agent machine
1. Execute [kubeadm/ubuntu/setup-k8s-prereqs.sh](kubeadm/ubuntu/setup-k8s-prereqs.sh/) script on each machine
1. Execute [kubeadm/ubuntu/setup-k8s-master.sh](kubeadm/ubuntu/setup-k8s-master.sh/) script on the machine designated as Kubernetes master
1. After successful initialzation of the Kubernetes master, follow the kubeadm join commands output by the script on each agent machine
1. Now, you can deploy SQL Server 2019 big data cluster using instructions [here](https://docs.microsoft.com/en-us/sql/big-data-cluster/deployment-guidance?view=sqlallproducts-allversions)