Difference between revisions of "Category:DigitalOcean"
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$ DROPLET_ID=1234567 | $ DROPLET_ID=1234567 | ||
− | $ curl -sXGET "${API_URL}/droplets/${DROPLET_ID}" -H "Authorization: Bearer ${TOKEN}" -H "Content-Type: application/json" | python -mjson.tool | + | $ curl -sXGET "${API_URL}/droplets/${DROPLET_ID}" \ |
+ | -H "Authorization: Bearer ${TOKEN}" \ | ||
+ | -H "Content-Type: application/json" | python -mjson.tool | ||
* Delete a given droplet: | * Delete a given droplet: |
Revision as of 23:29, 6 May 2015
This category will be all about using DigitalOcean's various Cloud products and services.
Contents
DigitalOcean API
Note: This category and associated articles will only cover version 2 (v2) of the DigitalOcean API.
Environment variables
$ API_URL="https://api.digitalocean.com/v2" $ TOKEN=<YOUR_API_TOKEN>
I will be using the above environment variables for the remainder of this article.
Account
- Get your DigitalOcean (basic) account information:
$ curl -sXGET "${API_URL}/account" \ -H "Authorization: Bearer ${TOKEN}" \ -H "Content-Type: application/json" | python -mjson.tool { "account": { "droplet_limit": 25, "email": "bob@example.com", "email_verified": true, "uuid": "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa" } }
Regions
$ curl "${API_URL}/regions" \ -H "Authorization: Bearer ${TOKEN}" \ -H "Content-Type: application/json" | python -mjson.tool
- ams1 ("Amsterdam 1")
- ams2 ("Amsterdam 2")
- ams3 ("Amsterdam 3")
- fra1 ("Frankfurt 1")
- lon1 ("London 1")
- nyc1 ("New York 1")
- nyc2 ("New York 2")
- nyc3 ("New York 3")
- sfo1 ("San Francisco 1")
- sgp1 ("Singapore 1")
A quick-and-dirty way to get a pretty table output of the DigitalOcean regions available for Droplets (and the associated sizes and features) is with a Python script something like the following:
#!/usr/bin/env python import json from prettytable import PrettyTable # Create the 'do_regions.json' file by saving the output of: # $ curl "${API_URL}/regions" \ # -H "Authorization: Bearer ${TOKEN}" \ # -H "Content-Type: application/json" > do_regions.json with open('do_regions.json') as json_regions: data = json.load(json_regions) table = PrettyTable(["Slug", "Name", "Sizes", "Features"]) table.align = "l" for region in data["regions"]: slug = region["slug"] name = region["name"] ', '.join(region["sizes"]) if region["available"] else "<unavailable>" features = ', '.join(region["features"]) table.add_row([slug, name, sizes, features]) print table
Running the above script produces:
+------+-----------------+---------------------------------------------------+-----------------------------------------------------+ | Slug | Name | Sizes | Features | +------+-----------------+---------------------------------------------------+-----------------------------------------------------+ | nyc1 | New York 1 | <unavailable> | virtio, backups, metadata | | ams1 | Amsterdam 1 | <unavailable> | virtio, backups | | sfo1 | San Francisco 1 | 32gb, 16gb, 2gb, 1gb, 4gb, 8gb, 512mb, 64gb, 48gb | virtio, private_networking, backups, ipv6, metadata | | nyc2 | New York 2 | 32gb, 16gb, 2gb, 1gb, 4gb, 8gb, 512mb, 64gb, 48gb | virtio, private_networking, backups | | ams2 | Amsterdam 2 | 32gb, 16gb, 2gb, 1gb, 4gb, 8gb, 512mb, 64gb, 48gb | virtio, private_networking, backups, ipv6, metadata | | sgp1 | Singapore 1 | 32gb, 16gb, 2gb, 1gb, 4gb, 8gb, 512mb, 64gb, 48gb | virtio, private_networking, backups, ipv6, metadata | | lon1 | London 1 | 32gb, 16gb, 2gb, 1gb, 4gb, 8gb, 512mb, 64gb, 48gb | virtio, private_networking, backups, ipv6, metadata | | nyc3 | New York 3 | 32gb, 16gb, 2gb, 1gb, 4gb, 8gb, 512mb, 64gb, 48gb | virtio, private_networking, backups, ipv6, metadata | | ams3 | Amsterdam 3 | 32gb, 16gb, 2gb, 1gb, 4gb, 8gb, 512mb, 64gb, 48gb | virtio, private_networking, backups, ipv6, metadata | | fra1 | Frankfurt 1 | 32gb, 16gb, 2gb, 1gb, 4gb, 8gb, 512mb, 64gb, 48gb | virtio, private_networking, backups, ipv6, metadata | +------+-----------------+---------------------------------------------------+-----------------------------------------------------+
Droplets
- Create a Droplet:
$ curl -vXPOST "${API_URL}/droplets" \ -d'{"name":"my-test-droplet","region":"nyc3","size":"512mb","image":"ubuntu-14-04-x64"}' \ -H "Authorization: Bearer ${TOKEN}" \ -H "Content-Type: application/json"
# RESPONSE BODY: { "droplet": { "backup_ids": [], "created_at": "2015-05-05T20:26:24Z", "disk": 20, "features": [ "virtio" ], "id": 1234567, "image": {}, "kernel": { "id": 2924, "name": "Ubuntu 14.04 x64 vmlinuz-3.13.0-43-generic", "version": "3.13.0-43-generic" }, "locked": true, "memory": 512, "name": "my-test-droplet", "networks": {}, "next_backup_window": null, "region": {}, "size": {}, "size_slug": "512mb", "snapshot_ids": [], "status": "new", "vcpus": 1 }, "links": { "actions": [ { "href": "https://api.digitalocean.com/v2/actions/87654321", "id": 87654321, "rel": "create" } ] } }
- List Droplets on your account:
$ curl -XGET "${API_URL}/droplets" \ -H "Authorization: Bearer ${TOKEN}" \ -H "Content-Type: application/json" | python -mjson.tool
Or, pretty print the output:
$ curl -sXGET "${API_URL}/droplets" \ -H "Authorization: Bearer ${TOKEN}" \ -H "Content-Type: application/json" |\ python -c 'import sys,json;data=json.loads(sys.stdin.read());\ print "ID\tName\tRegion\n";\ print "\n".join(["%s\t%s\t%s"%(d["id"],d["name"],d["region"]["slug"])\ for d in data["droplets"]])'|column -t
ID Name Region 1234567 my-test-droplet-1 nyc3 2345678 my-test-droplet-2 ams1
- List the details of a given Droplet:
$ DROPLET_ID=1234567 $ curl -sXGET "${API_URL}/droplets/${DROPLET_ID}" \ -H "Authorization: Bearer ${TOKEN}" \ -H "Content-Type: application/json" | python -mjson.tool
- Delete a given droplet:
$ DROPLET_ID=1234567 $ curl -X DELETE "${API_URL}/droplets/${DROPLET_ID}" \ -H "Authorization: Bearer ${TOKEN}" \ -H 'Content-Type: application/json'
Images
A quick-and-dirty way to get a pretty table output of the DigitalOcean images available for Droplets is with a Python script something like the following:
#!/usr/bin/env python import json from prettytable import PrettyTable # Create the 'do_images.json' file by saving the output of: # $ curl "${API_URL}/images" \ # -H "Authorization: Bearer ${TOKEN}" \ # -H "Content-Type: application/json" > do_images.json with open('do_images.json') as json_data: data = json.load(json_data) table = PrettyTable(["ID","Slug","Distribution","Name","Type"]) table.align = "l" for image in data["images"]: image_id = image["id"] slug = image["slug"] distribution = image["distribution"] name = image["name"] image_type = image["type"] table.add_row([image_id,slug,distribution,name,image_type]) print table
Running the above script produces:
+----------+------------------+--------------+----------------------+-----------+ | ID | Slug | Distribution | Name | Type | +----------+------------------+--------------+----------------------+-----------+ | 11732785 | None | Debian | Maintenance Mode | snapshot | | 11420434 | coreos-stable | CoreOS | 633.1.0 (stable) | snapshot | | 11434448 | coreos-beta | CoreOS | 647.0.0 (beta) | snapshot | | 11657005 | coreos-alpha | CoreOS | 668.2.0 (alpha) | snapshot | | 11385199 | None | Debian | vum-easter-move | snapshot | | 11594346 | None | Ubuntu | blushibiza.com final | temporary | | 6370882 | fedora-20-x64 | Fedora | 20 x64 | snapshot | | 6370885 | fedora-20-x32 | Fedora | 20 x32 | snapshot | | 6372321 | centos-5-8-x64 | CentOS | 5.10 x64 | snapshot | | 6372425 | centos-5-8-x32 | CentOS | 5.10 x32 | snapshot | | 6372581 | debian-6-0-x64 | Debian | 6.0 x64 | snapshot | | 6372662 | debian-6-0-x32 | Debian | 6.0 x32 | snapshot | | 9640922 | fedora-21-x64 | Fedora | 21 x64 | snapshot | | 9801948 | ubuntu-14-04-x32 | Ubuntu | 14.04 x32 | snapshot | | 9801950 | ubuntu-14-04-x64 | Ubuntu | 14.04 x64 | snapshot | | 9801951 | ubuntu-14-10-x32 | Ubuntu | 14.10 x32 | snapshot | | 9801954 | ubuntu-14-10-x64 | Ubuntu | 14.10 x64 | snapshot | | 10144573 | freebsd-10-1-x64 | FreeBSD | 10.1 | snapshot | | 10321756 | ubuntu-12-04-x64 | Ubuntu | 12.04.5 x64 | snapshot | | 10321777 | ubuntu-12-04-x32 | Ubuntu | 12.04.5 x32 | snapshot | +----------+------------------+--------------+----------------------+-----------+
External links
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