One post tagged with "digital ocean"

The Digital Ocean provider is now available for StackQL. You can use StackQL to provision, manage or report on Droplets, Apps, Functions, Databases, Volumes, Spaces, and more.

To use the Digital Ocean provider, generate a Personal Access Token from the Digital Ocean Control Panel under the API section. Export the value of the token created to a variable named DIGITALOCEAN_TOKEN (on your local system or as a CI secret). You can then run queries against the Digital Ocean provider using StackQL.

The following example demonstrates the creation of a Droplet in Digital Ocean.

INSERT INTO digitalocean.droplets.droplets ( 
data__name, 
data__region, 
data__size, 
data__image, 
data__backups, 
data__ipv6, 
data__monitoring, 
data__tags 
) 
SELECT 
'droplet-1.example.com', 
'nyc3', 
's-1vcpu-1gb', 
'ubuntu-20-04-x64', 
true, 
true, 
true, 
'["env:prod", "web"]';

You can use jsonnet as a configuration, templating language with StackQL to provide variables or parameters to IaC operations in StackQL; this can be done using the --data flag in the stackql exec command as follows:

./stackql exec --infile create_droplets.iql --iqldata vars.jsonnet

The code for create_droplets.iql and vars.jsonnet is shown here:

{{range $index, $element := .droplets}}
INSERT INTO digitalocean.droplets.droplets ( 
data__name, 
data__region, 
data__size, 
data__image, 
data__backups, 
data__ipv6, 
data__monitoring, 
data__tags 
) 
SELECT 
'droplet-{{$index}}.stackql.io', 
'nyc3', 
'{{.size}}', 
'ubuntu-20-04-x64', 
true, 
true, 
true, 
'["env:prod", "web"]';
{{end}}

{
    droplets: [
        { size: 's-1vcpu-512mb-10gb' },
        { size: 's-1vcpu-1gb' },
        { size: 's-1vcpu-1gb-amd' },
    ]
}

StackQL is a unified SQL-based framework that can be used for analytics and reporting as well as provisioning, de-provisioning, and lifecycle opertaions. As a native multi-cloud solution, StackQL can analyze and report across assets across multiple different providers; an example is shown here:

SELECT 
name, 
JSON_EXTRACT(region, '$.name') as region, 
JSON_EXTRACT(size, '$.slug') as size,
'digitalocean' as provider
FROM digitalocean.droplets.droplets
UNION
SELECT
instanceId as name,
'us-east-1' as region,
instanceType as size,
'aws' as provider
FROM aws.ec2.instances 
WHERE region = 'us-east-1';

Digital Ocean and multi-cloud queries can be visualized using BI tools or notebooks; examples of using StackQL with Jupyter can be found here.

More information about the Digital Ocean provider for StackQL can be found here.