overhaul runners, add GCP & K8s stubs (#105)

iterative · Sep 17, 2021 · 0253495 · 0253495
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diff --git a/content/docs/cml-with-dvc.md b/content/docs/cml-with-dvc.md
@@ -15,7 +15,7 @@ on: [push]
 jobs:
   run:
     runs-on: [ubuntu-latest]
-    container: docker://iterativeai/cml:0-dvc2-base1
+    container: docker://ghcr.io/iterative/cml:0-dvc2-base1
     steps:
       - uses: actions/checkout@v2
       - name: cml_run
@@ -58,8 +58,7 @@ jobs:
           cml-send-comment report.md
 ```
 
-If you're using DVC with cloud storage, take note of environmental variables for
-your storage format.
+## Cloud Storage Provider Credentials
 
 <details>
 

diff --git a/content/docs/self-hosted-runners.md b/content/docs/self-hosted-runners.md
diff --git a/content/docs/start/github.md b/content/docs/start/github.md
@@ -26,7 +26,7 @@ supported CI systems.
    jobs:
       run:
          runs-on: [ubuntu-latest]
-         container: docker://iterativeai/cml:0-dvc2-base1
+         container: docker://ghcr.io/iterative/cml:0-dvc2-base1
          steps:
             - uses: actions/checkout@v2
             - name: cml_run

diff --git a/content/docs/start/index.md b/content/docs/start/index.md
@@ -23,8 +23,9 @@ We built CML with these principles in mind:
   plots in each Git Pull Request. Rigorous engineering practices help your team
   make informed, data-driven decisions.
 - **No additional services.** Build your own ML platform using just GitHub or
-  GitLab and your favorite cloud services: AWS, Azure, GCP. No databases,
-  services or complex setup needed.
+  GitLab and your
+  [favorite cloud services](/doc/self-hosted-runners#runner-credentials): AWS,
+  Azure, GCP, or Kubernetes. No databases, services or complex setup needed.
 
 _Need help? Just want to chat about continuous integration for ML?
 [Visit our Discord channel!](https://discord.gg/bzA6uY7)_

diff --git a/content/docs/usage.md b/content/docs/usage.md
@@ -29,9 +29,8 @@ on: [push]
 jobs:
   run:
     runs-on: ubuntu-latest
-    # optionally use a convenient Ubuntu LTS + CUDA + DVC + CML image
-    # container: docker://iterativeai/cml:0-dvc2-base1-gpu
-    # container: docker://ghcr.io/iterative/cml:0-dvc2-base1-gpu
+    # optionally use a convenient Ubuntu LTS + DVC + CML container
+    # container: docker://ghcr.io/iterative/cml:0-dvc2-base1
     steps:
       - uses: actions/checkout@v2
       # may need to setup NodeJS & Python3 on e.g. self-hosted
@@ -58,12 +57,10 @@ jobs:
 
 We helpfully provide CML and other useful libraries pre-installed on our
 [custom Docker images](/doc/self-hosted-runners#docker-images). In the above
-example, uncommenting the field
-`container: docker://iterativeai/cml:0-dvc2-base1-gpu` (or
-`container: docker://ghcr.io/iterative/cml:0-dvc2-base1-gpu`) will make the
+example, uncommenting the
+`container: docker://ghcr.io/iterative/cml:0-dvc2-base1` field will make the
 runner pull the CML Docker image. The image already has NodeJS, Python 3, DVC
-and CML set up on an Ubuntu LTS base with CUDA libraries and
-[Terraform](https://www.terraform.io) installed for convenience.
+and CML set up on an Ubuntu LTS base for convenience.
 
 ## CML Functions