What if I told you that you could have your data layer could be completely secured and span across several public cloud providers and on-premises (hybrid) at the same time? With DataStax Enterprise we make it really easy to be on-prem, in the cloud, hybrid, or even multi-cloud.
Multi-cloud is starting to be very important for customers. By leveraging multiple public clouds, they're able to maintain data portability as well as being able to shop around to find the best infrastructure price for their given workloads. DataStax Enterprise provides that level of portability that they would not have by just using one public cloud provider.
You also have the ability to manage and develop on this multi/hybrid cloud through one single pane of glass with DataStax OpsCenter and DataStax Studio.
Yes, it is possible. And yes, you can do it!
export cassandra_default_password="blah"
export academy_user="blah"
export academy_pass="blah"
export academy_token="blah"
Be sure to replace blah with your credentials. If you don't have credentials for DataStax Academy, then go and sign up for it at http://academy.datastax.com - it's free! Be sure to create a download key (token) for your downloads too.
Now that you've set some environment variables, you can choose more of a manual installation or an automated install. Choose below.
If you are a masochist and want to do more of a manual method of provisioning VMs, gathering IP addresses, and running the setup then check out MANUAL-METHOD.md for more instructions.
This is how you can get it up and running within a matter of minutes - completely automated!
- Make sure that you have installed the CLIs for whichever cloud providers that you want to use. I will be using Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP) for this example:
- After you've installed the CLIs, be sure to configure each one so that you can use them.
- Important: make sure that the default output for all of the CLIs is json. You do this during configuration.
- Instructions on how to install the CLI for Azure: https://docs.microsoft.com/en-us/cli/azure/install-azure-cli?view=azure-cli-latest
- Instructions on how to install the CLI for AWS: https://docs.aws.amazon.com/cli/latest/userguide/installing.html
- Instructions on how to install the CLI for GCP: https://cloud.google.com/sdk/
- Install jq:
brew install jq- you will need this for the scripts to successfully parse json. - Install pip:
sudo easy_install pip - Install python requests:
sudo pip install requests
- Use an existing one or create a new one:
ssh-keygen -C "ubuntu" - Choose your location to store the private and public keys
- Create that key pair to exist in AWS: EC2 --> Network & Security --> Key Pairs --> Create Key Pair
- Update
jbreese-multicloud-ubuntuin:./aws/params.json-->"ParameterKey": "KeyName"-->"ParameterValue": "jbreese-multicloud-ubuntu"to be what you named your AWS key pair to be
- Update
It is time to setup your cluster using the deploy.sh script. Here is an example:
/deploy.sh -d jbreese-test -k ../keys/ubuntu -u ubuntu
Let's break down the switches:
- -d --> Argument needed: name of the DSE cluster and cloud deployments that you'd like to create (required) (e.g. jbreese-test)
- -k --> Argument needed: file of the private key on your laptop (required) (e.g. ../keys/ubuntu)
- -u --> Argument needed: username that you'll use to log into all of the servers (required) (e.g. ubuntu)
The script could take a few minutes to deploy so be patient.
- Yes, I am using public IP addresses. I realize that your security team would feel better using a VPC and private IP addresses, but this demo is all about being quick and dirty. Feel free to adjust this to fit your needs.
- Deploy some cool stuff and make that cluster work for you (e.g. load testing, cool demos)
- Wei Deng (weideng1)
- Richard Lewis (Lewisr650)
- Collin Poczatek (cpoczatek)
- Russ Katz (russkatz)