docs/atomist/integrate/deploys.md

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Track deployments Deployment tracking lets Atomist compare your image builds with what's running in your environments. deployment, kubernetes, security

{% include atomist/disclaimer.md %}

By integrating Atomist with a runtime environment, you can track vulnerabilities for deployed containers. This gives you contexts for whether security debt is increasing or decreasing.

There are several options for how you could implement deployment tracking:

  • Invoking the API directly
  • Adding it as a step in your continuous deployment pipeline
  • Creating Kubernetes admission controllers

API

Each Atomist workspace exposes an API endpoint. Submitting a POST request to the endpoint updates Atomist about what image you are running in your environments. This lets you compare data for images you build against images of containers running in staging or production.

You can find the API endpoint URL on the Integrations page. Using this API requires an API key.

The most straight-forward use is to post to this endpoint using a webhook. When deploying a new image, submit an automated POST request (using curl, for example) as part of your deployment pipeline.

$ curl <api-endpoint-url> \\
  -X POST \\
  -H "Content-Type: application/json" \\
  -H "Authorization: Bearer <api-token>" \\
  -d '{"image": {"url": "<image-url>@<sha256-digest>"}}'

Parameters

The API supports the following parameters in the request body:

{
  "image": {
    "url": "string",
    "name": "string"
  },
  "environment": {
    "name": "string"
  },
  "platform": {
    "os": "string",
    "architecture": "string",
    "variant": "string"
  }
}
Parameter Mandatory Default Description
image.url Yes Fully qualified reference name of the image, plus version (digest). You must specify the image version by digest.
image.name No Optional identifier. If you deploy many containers from the same image in any one environment, each instance must have a unique name.
environment.name No deployed Use custom environment names to track different image versions in environments, like staging and production
platform.os No linux Image operating system.
platform.architecture No amd64 Instruction set architecture.
platform.variant No Optional variant label.