Run a container image

The general-purpose runtime class runs standard Linux container images without changes. Each Instance runs in its own lightweight virtual machine with its own kernel, so the image gets the compatibility of a container and the isolation of a virtual machine.

Compute is in preview, and the v1alpha API can change.

Before you begin

Select a project, install the compute plugin, and get access to Compute. For more information, see Set up your project.
Push your image to a registry that Compute can reach, or use a public image.

Image requirements

A container image runs on general-purpose Instances if it meets the following requirements:

The image reference includes a registry host: Use docker.io/library/redis:7 or ghcr.io/example/api:1.4.2, not redis:7. Datum rejects references without a registry host.
The app listens on IPv6: Instances have IPv6 addresses only. An app that listens only on an IPv4 address, such as 0.0.0.0, is unreachable. Configure it to listen on :: (all IPv6 addresses), for example [::]:8080.
The app serves plain HTTP if you publish it: Datum terminates TLS for public URLs and connects to your Instances over plain HTTP. For more information, see Publish a workload.
Private images have credentials: To pull from a private registry, add registry credentials to the workload. For more information, see Use images from a private registry.

You don’t need datumctl compute build for general-purpose workloads. Build and push your image with the tools that you already use.

Deploy a container image

To deploy an image and publish it on a public URL, run the following command:

datumctl compute deploy WORKLOAD_NAME \
  --image=IMAGE \
  --runtime-class=general-purpose \
  --location=LOCATION \
  --http-port=PORT

Replace the following:

WORKLOAD_NAME: a name for your workload.
IMAGE: the full image reference, including the registry host.
LOCATION: one or more locations, separated by commas, such as us-central-1,us-east-1.
PORT: the port that your container serves HTTP on. To run the workload without a public URL, omit --http-port.

Always pass --runtime-class=general-purpose when you create the workload. Without it, Datum uses the unikernel class, and a standard image doesn’t boot.

Deploy from a manifest

Use a manifest when you need settings that the deploy flags don’t expose, such as a custom command, environment variables, or volumes. A flag-based deploy saves its result to workload.yaml, which you can edit as a starting point. Each flag-based deploy overwrites workload.yaml in the current directory, so keep edited manifests under another name. The following manifest runs Redis in Dallas with a custom command:

apiVersion: compute.datumapis.com/v1alpha
kind: Workload
metadata:
  name: cache
spec:
  template:
    spec:
      runtime:
        class: general-purpose
        resources:
          instanceType: datumcloud/d1-standard-2
        sandbox:
          containers:
            - name: redis
              image: docker.io/library/redis:7
              command: ["redis-server"]
              args: ["--bind", "::", "--protected-mode", "no"]
              ports:
                - name: redis
                  port: 6379
      networkInterfaces:
        - network:
            name: default
  placements:
    - name: dallas
      locations:
        - name: us-central-1
      scaleSettings:
        minReplicas: 1

The arguments make Redis listen on IPv6 and accept connections from other Instances on the network without a password. Set a password for anything beyond testing. The manifest sets the following fields. Paths are relative to spec.template.spec.

runtime.class: the runtime class. Set it to general-purpose.
runtime.resources.instanceType: the Instance size. datumcloud/d1-standard-2 (1 vCPU, 2 GiB) is the only type.
sandbox.containers[].command and args: override the image’s entrypoint and command, in the same way as in Kubernetes.
sandbox.containers[].ports: the ports the container listens on. A port on its own doesn’t make the workload reachable from the internet.
networkInterfaces: the network the Instances attach to. Every workload needs exactly one network interface.

To apply the manifest, run the following command:

datumctl compute deploy -f cache.yaml

The command shows what changes, asks for confirmation, and then waits for the rollout. You can also apply the manifest with datumctl apply -f cache.yaml, which doesn’t wait for the rollout.

Control Linux capabilities

Every container starts with all Linux capabilities dropped. When a container doesn’t set a security context, Datum applies the class default and writes it into the workload, so datumctl get workload cache -o yaml shows exactly what runs for the cache workload. The default does the following:

Adds back CHOWN, DAC_OVERRIDE, FOWNER, FSETID, KILL, NET_BIND_SERVICE, SETFCAP, SETGID, SETPCAP, and SETUID.
Sets allowPrivilegeEscalation to false.
Sets seccompProfile.type to RuntimeDefault.

The default set is enough for common images such as NGINX, PostgreSQL, and images that switch users at startup. If your container needs a different set, set securityContext.capabilities on the container. The following example grants only NET_BIND_SERVICE and NET_ADMIN:

containers:
  - name: app
    image: ghcr.io/example/app:1.0
    securityContext:
      capabilities:
        add:
          - NET_BIND_SERVICE
          - NET_ADMIN

Keep the following rules in mind:

A capabilities list that you set replaces the class default. The default isn’t merged in, so list every capability your container needs.
Use capability names without the CAP_ prefix. ALL isn’t accepted in add.
general-purpose Instances can add any Linux capability, including SYS_ADMIN, because the capability applies only inside the Instance’s own virtual machine.
allowPrivilegeEscalation and seccompProfile default independently of capabilities. seccompProfile.type accepts RuntimeDefault or Unconfined.
Datum applies the default when you create a workload. A later change to the class default doesn’t affect existing workloads.

Limitations

In addition to the limitations that apply to all of Compute, the general-purpose runtime class has the following limitations:

Instances take several seconds to start, mostly spent booting a kernel and pulling the image.
Host namespaces, host ports, host paths, and privileged host access aren’t available.

What’s next

To set environment variables and use ConfigMaps and Secrets, see Configure a workload.
To choose where to run and how many Instances to run, see Placement and scaling.
To serve the workload on a public URL, see Publish a workload.

Documentation

TLDR

Platform

Galactic VPC

ALB

Connectors

Compute

Domains & DNS

Agents

Before you begin

Image requirements

Deploy a container image

Deploy from a manifest

Control Linux capabilities

Limitations

What’s next

​Before you begin

​Image requirements

​Deploy a container image

​Deploy from a manifest

​Control Linux capabilities

​Limitations

​What’s next

Before you begin

Image requirements

Deploy a container image

Deploy from a manifest

Control Linux capabilities

Limitations

What’s next