Did you ever wish to run Cisco Modeling Labs however didn’t have the {hardware} or software program to take action? Or have you ever needed to run a topology in your native deployment—however couldn’t since you didn’t have sufficient reminiscence accessible domestically? What about integrating CML right into a CI/CD pipeline, which incorporates the creation and destruction of all the pipeline, together with CML?
You would possibly suppose one reply to those issues can be to make use of CML within the cloud. And also you’d be proper. Nonetheless, up till lately, the one supported platforms to run CML had been both on naked steel servers or on VMware vSphere.
We’ve heard requests to have CML Software program-as-a-Service (SaaS), and we’re working onerous to make this a actuality sooner or later. Our first step on this path is to offer tooling and automation so you may deploy your CML occasion into Amazon Net Providers (AWS)! This tooling is offered as of as we speak on GitHub.
Setting expectations
With this primary step of automation and tooling comes just a few limitations, together with:
- Tooling is presently solely supported on AWS. We’re engaged on making this additionally accessible on Azure in a subsequent launch.
- It solely helps an all-in-one deployment. Subsequent releases might embrace deployment of a number of cases to kind a CML cluster.
- This strategy wants a bare-metal taste to help all node varieties. Steel flavors are dearer than virtualized cases; nonetheless, AWS doesn’t help virtualization extensions on their non-bare-metal flavors. That is totally different from Azure.
- You have to deliver your personal AWS occasion AND your personal CML license. No pay-as-you-go consumption mannequin is offered as of as we speak.
- CML software program and reference platform information from the “refplat ISO” should be made accessible in a bucket.
- Automation should run domestically in your laptop, significantly a Linux machine with Terraform.
Because of the nature of CML’s perform, the flexibility to run it within the cloud won’t ever be low cost (as in free-tier). CML requires plenty of sources, reminiscence, disk, and CPU, which comes at a price, no matter whether or not you run it domestically in your laptop computer, in your information heart, or within the cloud. The thought behind the cloud is to simplify operation and supply elasticity however not essentially to save cash.
Assembly software program necessities
The software program necessities you’ll have to efficiently use the tooling embrace:
- a Linux machine (must also work on a Mac with the identical packages put in through Homebrew)
- a Bash shell (in case you utilize the add instrument, which is a Bash script)
- a Terraform set up
- the AWS CLI bundle (awscli with the aws command)
- the CML software program bundle (.pkg) and the CML reference platform ISO from CCO/cisco.com
An present CML controller satisfies the primary two necessities, and you need to use that to put in Terraform and the AWS CLI. It additionally has the reference platform information accessible to repeat to an AWS S3 bucket. You additionally should obtain the CML distribution bundle from the Cisco help web site and replica it to the AWS S3 bucket.
For extra element, seek advice from the “Add script” part of the README.md that’s included within the cml-cloud repository.
Getting up and operating
When you’ve put in the necessities and copied the information, you’ll discover the precise process straight ahead and meticulously documented within the README.md.
Listed below are the basic steps:
-
- Configure the required S3 bucket, consumer, insurance policies, secrets and techniques, and guidelines through AWS console (as soon as).
- Add the binary information (pictures and software program) into the created bucket (as soon as or at any time when new software program is offered).
- Configure the tooling by modifying the config.json file (as soon as).
- Run terraform plan adopted by terraform apply to deliver up an occasion
- Wait 5-10 minutes for the system to turn out to be prepared; the handle of the controller is offered because of this (“output” from Terraform)
- Use CML within the cloud and revenue!
When you’re accomplished, tear down the cloud infrastructure by executing terraform destroy.
Observe: Whereas no price is incurred when you’re not operating CML cases, you’ll nonetheless have to pay for storing the information contained in the created S3 bucket.
Taking the following steps
Whereas CML AWS automation tooling is a primary step towards CML SaaS, the tooling in its present kind won’t suit your wants precisely due to price for bare-metal cases or the present dependency on AWS. Or you may want a pay-as-you-go service or one thing else. Tell us!
Simply keep in mind subsequent steps are forward! Keep tuned, and inform us what you suppose within the meantime. We’re extraordinarily fascinated about how helpful (or not) this primary iteration of cloud tooling is to you and your group and, going ahead, what your particular necessities are. Please attain out to us on the GitHub concern tracker undertaking.
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