From f38bb98cd229bb617807d3e30c63a78f913ef8e2 Mon Sep 17 00:00:00 2001 From: GitHub Actions Date: Mon, 14 Oct 2024 11:25:24 +0000 Subject: [PATCH] site deploy Auto-generated via `{sandpaper}` Source : 213759ca73bda9200489071654c08d0554a1b797 Branch : md-outputs Author : GitHub Actions Time : 2024-10-14 11:25:15 +0000 Message : markdown source builds Auto-generated via `{sandpaper}` Source : 8f70082f335feec263007da6e4ebf2dee74c808c Branch : main Author : Kati Lassila-Perini Time : 2024-10-14 11:24:12 +0000 Message : 01: improve --- 01-intro.html | 48 ++++++++++++++++++++++++++++++++++++-- aio.html | 50 ++++++++++++++++++++++++++++++++++++++-- instructor/01-intro.html | 48 ++++++++++++++++++++++++++++++++++++-- instructor/aio.html | 50 ++++++++++++++++++++++++++++++++++++++-- md5sum.txt | 2 +- pkgdown.yml | 2 +- 6 files changed, 190 insertions(+), 10 deletions(-) diff --git a/01-intro.html b/01-intro.html index 5af6801..1806de9 100644 --- a/01-intro.html +++ b/01-intro.html @@ -380,8 +380,10 @@

Callout

define, provision, and manage cloud infrastructure using configuration scripts.

In this tutorial, we use Terraform scripts to create the Kubernetes -cluster in a single step. After the workflow finishes, it is easy to -delete the resources similary, in a single step.

+cluster in a single step. The advantage - compared to plain command-line +gcloud commands - is that we can easily configure input +variables. Also, after the workflow finishes, it is easy to delete the +resources in a single step.

Kubernetes

Kubernetes is a system to managed containerized workflows on computing clusters. kubectl is the command-line tool to @@ -396,6 +398,48 @@

Callout

In this tutorial, the Argo Workflows services are set up using a kubectl command. We use argo, the command-line tool, to submit and manage the workflows.

+
+
+ +
+
+

Ready to go?

+
+

Check the instructions in Software setup

+
    • +
    • +
    • +
    • +
    • +
    • +
    • +

When done, let’s go!

+
+
+
+
+
+ +
+
+

If you don’t have access to a Linux terminal or prefer not to install +tools locally, you can use Google Cloud Shell. You’ll need a Google +Cloud Platform (GCP) account and a GCP project. To open Cloud Shell, +click the Cloud Shell icon in the top-right corner of the Google Cloud +Console.

+

Cloud Shell comes pre-installed with gcloud, kubectl, terraform, and +go. However, you’ll need to install the Argo CLI manually

+
+
+
+
diff --git a/aio.html b/aio.html index 6144ec3..03b06d1 100644 --- a/aio.html +++ b/aio.html @@ -407,8 +407,10 @@

Callout

define, provision, and manage cloud infrastructure using configuration scripts.

In this tutorial, we use Terraform scripts to create the Kubernetes -cluster in a single step. After the workflow finishes, it is easy to -delete the resources similary, in a single step.

+cluster in a single step. The advantage - compared to plain command-line +gcloud commands - is that we can easily configure input +variables. Also, after the workflow finishes, it is easy to delete the +resources in a single step.

Kubernetes

@@ -427,6 +429,50 @@

Callout

In this tutorial, the Argo Workflows services are set up using a kubectl command. We use argo, the command-line tool, to submit and manage the workflows.

+
+
+ +
+
+

Ready to go?

+
+

Check the instructions in Software setup

+
    +
    • +
    • +
    • +
    • +
    • +
    • +
    • +
+

When done, let’s go!

+
+
+
+
+
+ +
+
+

If you don’t have access to a Linux terminal or prefer not to install +tools locally, you can use Google Cloud Shell. You’ll need a Google +Cloud Platform (GCP) account and a GCP project. To open Cloud Shell, +click the Cloud Shell icon in the top-right corner of the Google Cloud +Console.

+

Cloud Shell comes pre-installed with gcloud, kubectl, terraform, and +go. However, you’ll need to install the Argo CLI manually

+
+
+
+
diff --git a/instructor/01-intro.html b/instructor/01-intro.html index f7948b6..7eacf0b 100644 --- a/instructor/01-intro.html +++ b/instructor/01-intro.html @@ -382,8 +382,10 @@

Callout

define, provision, and manage cloud infrastructure using configuration scripts.

In this tutorial, we use Terraform scripts to create the Kubernetes -cluster in a single step. After the workflow finishes, it is easy to -delete the resources similary, in a single step.

+cluster in a single step. The advantage - compared to plain command-line +gcloud commands - is that we can easily configure input +variables. Also, after the workflow finishes, it is easy to delete the +resources in a single step.

Kubernetes

Kubernetes is a system to managed containerized workflows on computing clusters. kubectl is the command-line tool to @@ -398,6 +400,48 @@

Callout

In this tutorial, the Argo Workflows services are set up using a kubectl command. We use argo, the command-line tool, to submit and manage the workflows.

+
+
+ +
+
+

Ready to go?

+
+

Check the instructions in Software setup

+
    • +
    • +
    • +
    • +
    • +
    • +
    • +

When done, let’s go!

+
+
+
+
+
+ +
+
+

If you don’t have access to a Linux terminal or prefer not to install +tools locally, you can use Google Cloud Shell. You’ll need a Google +Cloud Platform (GCP) account and a GCP project. To open Cloud Shell, +click the Cloud Shell icon in the top-right corner of the Google Cloud +Console.

+

Cloud Shell comes pre-installed with gcloud, kubectl, terraform, and +go. However, you’ll need to install the Argo CLI manually

+
+
+
+
diff --git a/instructor/aio.html b/instructor/aio.html index d542a65..d1ecbb1 100644 --- a/instructor/aio.html +++ b/instructor/aio.html @@ -410,8 +410,10 @@

Callout

define, provision, and manage cloud infrastructure using configuration scripts.

In this tutorial, we use Terraform scripts to create the Kubernetes -cluster in a single step. After the workflow finishes, it is easy to -delete the resources similary, in a single step.

+cluster in a single step. The advantage - compared to plain command-line +gcloud commands - is that we can easily configure input +variables. Also, after the workflow finishes, it is easy to delete the +resources in a single step.

Kubernetes

@@ -430,6 +432,50 @@

Callout

In this tutorial, the Argo Workflows services are set up using a kubectl command. We use argo, the command-line tool, to submit and manage the workflows.

+
+
+ +
+
+

Ready to go?

+
+

Check the instructions in Software setup

+
    +
    • +
    • +
    • +
    • +
    • +
    • +
    • +
+

When done, let’s go!

+
+
+
+
+
+ +
+
+

If you don’t have access to a Linux terminal or prefer not to install +tools locally, you can use Google Cloud Shell. You’ll need a Google +Cloud Platform (GCP) account and a GCP project. To open Cloud Shell, +click the Cloud Shell icon in the top-right corner of the Google Cloud +Console.

+

Cloud Shell comes pre-installed with gcloud, kubectl, terraform, and +go. However, you’ll need to install the Argo CLI manually

+
+
+
+
diff --git a/md5sum.txt b/md5sum.txt index 23cb433..2f74ff7 100644 --- a/md5sum.txt +++ b/md5sum.txt @@ -4,7 +4,7 @@ "config.yaml" "65a9089cc4e96a14f2a7608e69edd436" "site/built/config.yaml" "2024-10-14" "index.md" "525d819d57772d499f55691b37cd616a" "site/built/index.md" "2024-10-10" "links.md" "8184cf4149eafbf03ce8da8ff0778c14" "site/built/links.md" "2024-06-19" -"episodes/01-intro.md" "912b32cec6a3dd6284ccff90bd69b70e" "site/built/01-intro.md" "2024-10-14" +"episodes/01-intro.md" "ae0534dc9ecd26e0c486ecac9e531fcb" "site/built/01-intro.md" "2024-10-14" "instructors/instructor-notes.md" "cae72b6712578d74a49fea7513099f8c" "site/built/instructor-notes.md" "2024-06-19" "learners/reference.md" "a9fdea2b1b382830c056a0fec62c2b89" "site/built/reference.md" "2024-10-14" "learners/setup.md" "3e3608065dd2b6c6bdf1b452bd333df0" "site/built/setup.md" "2024-10-11" diff --git a/pkgdown.yml b/pkgdown.yml index fc67fbc..7c19de0 100644 --- a/pkgdown.yml +++ b/pkgdown.yml @@ -2,4 +2,4 @@ pandoc: 3.1.11 pkgdown: 2.1.1 pkgdown_sha: ~ articles: {} -last_built: 2024-10-14T09:47Z +last_built: 2024-10-14T11:25Z