Get Started

There are two ways to host Burla:

1. In your cloud. Burla is open-source, and can be deployed with one command (currently Google-Cloud only). Click here to get started with self-hosted Burla.

2. In our cloud. We recommend everyone try Burla in our cloud before self-hosting to make sure it's right for you. Click here to get started with managed Burla. It's free to try out, and only takes 2 minutes!

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Quickstart: (Managed) (Runs in our Cloud)

We recommend everyone try Burla in our cloud before self-hosting to make sure it's right for you. Burla is free to try out, and only takes 2 minutes to get started. Here's how:

Sign Up / Log In

1. ☝️ Sign up using your Google or Microsoft account.

2. Click the ⏻ Start button to boot some computers.

3. Run the example in this Google Colab notebook using 1,000 CPU's!

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Quickstart: (Self-Hosted) (Runs in your Cloud)

Self-Hosted Burla is currently exclusive to Google Cloud. We fully intend to support AWS, Azure, and on-prem deployments, but don't yet.

Please reach out anytime if you get stuck! ([email protected])

1. Ensure gcloud is setup and installed:

If you haven't, install the gcloud CLI, and login using application-default credentials.

Ensure gcloud is pointing at the project you wish to install Burla inside:

• To view your current gcloud project run: gcloud config get project

• To change your current gcloud project run: gcloud config set project <NEW-PROJECT-ID>

2. Run the burla install command:

Run pip install burla then run burla install.

What permissions does my Google Cloud account need to run burla install ?

If you don't have permissions, run the command anyway, and it will tell you which ones you need!

To run burla install you'll need permission to run these gcloud commands:

• gcloud services enable ...

• gcloud compute firewall-rules create ...

• gcloud secrets create ...

• gcloud firestore databases create ...

• gcloud run deploy ...

I've listed the exact required permissions for the burla install command in it's CLI doc.

See the install docs for more info regarding permissions.

3. Start a machine and run some code!

1. Use the Login button on this website to get to your new cluster dashboard.

2. Hit the ⏻ Start button in the dashboard to turn the cluster on. By default this starts one 4-CPU node. If inactive for >5 minutes this node will shut itself off.

3. While booting, run burla login to connect your local machine to your cluster.

4. Run the example below!

from burla import remote_parallel_map

def my_function(my_input):
    print("I'm running on remote computer in the cloud!")
    
remote_parallel_map(my_function, [1, 2, 3]) 

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Questions? Schedule a call with us, or email [email protected]. We're always happy to talk.