From c2c371acda921b2fe8696dd81fb0542894b3b8c0 Mon Sep 17 00:00:00 2001 From: Jirka Tesar Date: Wed, 18 Oct 2023 15:39:33 +0200 Subject: [PATCH 01/12] Initial commit --- .../pages/images/pipeline_install1.png | Bin 0 -> 263352 bytes .../pages/images/pipeline_install2.png | Bin 0 -> 104232 bytes .../pages/images/pipeline_install3.png | Bin 0 -> 24104 bytes .../pages/images/pipeline_install4.png | Bin 0 -> 23086 bytes .../chapter1/pages/images/pipeline_search.png | Bin 0 -> 102567 bytes .../chapter1/pages/images/rhods_install1.png | Bin 0 -> 127100 bytes .../chapter1/pages/images/rhods_install2.png | Bin 0 -> 329003 bytes .../chapter1/pages/images/rhods_install3.png | Bin 0 -> 124006 bytes .../chapter1/pages/images/rhods_install4.png | Bin 0 -> 23733 bytes .../chapter1/pages/images/rhods_install5.png | Bin 0 -> 23069 bytes .../chapter1/pages/images/rhods_verify1.png | Bin 0 -> 74987 bytes .../chapter1/pages/images/rhods_verify2.png | Bin 0 -> 17533 bytes 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As a dependecy it requires another operator - Red{nbsp}Hat Openshift Pipelines to be installed as well. + +== Installing Red{nbsp}Hat Openshift Pipelines operator + +1. Login to Red{nbsp}Hat Openshift using a user which has cluster-admin role assigned +2. Navigate to **Operators** -> **OperatorHub** and seach for Red{nbsp}Hat Openshift Pipelines ++ +image::pipeline_search.png[] + +3. Click on the Red{nbsp}Hat Openshift Pipelines operator and in the pop up window click on **Install** to open operator's installation view. ++ +image::pipeline_install1.png[] + +4. In the installation view various installation details can be tuned: + a. Update channel + b. Installation mode + c. Installed Namespace + d. Update approval ++ +image::pipeline_install2.png[] ++ +Unless you have some specific requirements such as a particular version, namespace or update approval strategy, default values can be accepted. ++ +Click on the **Install** button at the bottom of to view the to proceed with the installation. A window showin installation progress will pop up ++ +image::pipeline_install3.png[] ++ +When the operator is installed you can view it's details by clicking on **View{nbsp}Operator** button. ++ +image::pipeline_install4.png[] + +== Installing Red{nbsp}Hat Openshift Data Science operator + +The process of the Red{nbsp}Hat Openshift Data Science operator installation is very similar to the Red{nbsp}Hat Openshift Pipelines operator. + +1. Navigate to **Operators** -> **OperatorHub** and seach for Red{nbsp}Hat Openshift Data Science ++ +image::rhods_install1.png[] + +2. Click on the Red{nbsp}Hat Openshift Data Science operator and in the pop up window click on **Install** to open operator's installation view. ++ +image::rhods_install2.png[] + +3. In the installation view window choose the **Update Channel**, **Installed{nbsp}Namespace** and *Update approval** or accept default values and click on **Install* the button. ++ +image::rhods_install3.png[] ++ +Operator Installation progress window will pup up. The installation may take a couple of minutes. ++ +image::rhods_install4.png[] ++ +When the operator is installed open the applications window in the right upper corner and Red{nbsp}Hat Openshift Data Science service should be available. ++ +image::rhods_verify1.png[] ++ +When you click on Red{nbsp}Hat Openshift Data Science service button a login window should appear. ++ +image::rhods_verify2.png[] + \ No newline at end of file From 152c62879831ff8e7d481542b625c3b5d4753d03 Mon Sep 17 00:00:00 2001 From: Jirka Tesar Date: Thu, 19 Oct 2023 12:48:50 +0200 Subject: [PATCH 02/12] Images directory moved --- .../{pages => }/images/pipeline_install1.png | Bin modules/chapter1/images/pipeline_install2.png | Bin 0 -> 78819 bytes modules/chapter1/images/pipeline_install3.png | Bin 0 -> 22692 bytes modules/chapter1/images/pipeline_install4.png | Bin 0 -> 21839 bytes .../{pages => }/images/pipeline_search.png | Bin .../{pages => }/images/rhods_install1.png | Bin .../{pages => 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As a dependecy it requires another operator - Red{nbsp}Hat Openshift Pipelines to be installed as well. == Installing Red{nbsp}Hat Openshift Pipelines operator 1. Login to Red{nbsp}Hat Openshift using a user which has cluster-admin role assigned -2. Navigate to **Operators** -> **OperatorHub** and seach for Red{nbsp}Hat Openshift Pipelines +2. Navigate to **Operators** -> **OperatorHub** and seach for *Red{nbsp}Hat Openshift Pipelines* + image::pipeline_search.png[] @@ -16,18 +17,13 @@ image::pipeline_search.png[] + image::pipeline_install1.png[] -4. In the installation view various installation details can be tuned: - a. Update channel - b. Installation mode - c. Installed Namespace - d. Update approval -+ -image::pipeline_install2.png[] -+ -Unless you have some specific requirements such as a particular version, namespace or update approval strategy, default values can be accepted. + +4. In the installation view some installation details can be tuned. Administrator can set the *Update{nbsp}channel* parameter to a specific version and the *Update{nbsp}approval* parameter to either *Automatic* or *Manual*. The *Installation{nbsp}mode* and the *Installed{nbsp}namespace* parameters are fixed. + -Click on the **Install** button at the bottom of to view the to proceed with the installation. A window showin installation progress will pop up +image::pipeline_install2.png[align="center"] + +Click on the **Install** button at the bottom of to view the to proceed with the installation. A window showing the installation progress will pop up ++ image::pipeline_install3.png[] + When the operator is installed you can view it's details by clicking on **View{nbsp}Operator** button. @@ -38,7 +34,7 @@ image::pipeline_install4.png[] The process of the Red{nbsp}Hat Openshift Data Science operator installation is very similar to the Red{nbsp}Hat Openshift Pipelines operator. -1. Navigate to **Operators** -> **OperatorHub** and seach for Red{nbsp}Hat Openshift Data Science +1. Navigate to **Operators** -> **OperatorHub** and seach for *Red{nbsp}Hat Openshift Data Science* + image::rhods_install1.png[] @@ -46,7 +42,7 @@ image::rhods_install1.png[] + image::rhods_install2.png[] -3. In the installation view window choose the **Update Channel**, **Installed{nbsp}Namespace** and *Update approval** or accept default values and click on **Install* the button. +3. In the installation view window choose the **Update Channel**, **Installed{nbsp}Namespace** and *Update approval** or accept default values and click on **Install* the button. The *Installation{nbsp}mode* is fixed + image::rhods_install3.png[] + @@ -54,11 +50,14 @@ Operator Installation progress window will pup up. The installation may take a c + image::rhods_install4.png[] + -When the operator is installed open the applications window in the right upper corner and Red{nbsp}Hat Openshift Data Science service should be available. +When the operator is installed open the applications window in the right upper corner and *Red{nbsp}Hat Openshift Data Science* dashboard should be available. + image::rhods_verify1.png[] + -When you click on Red{nbsp}Hat Openshift Data Science service button a login window should appear. +When you click on the *Red{nbsp}Hat Openshift Data Science* dashboard button a login window should appear. + image::rhods_verify2.png[] - \ No newline at end of file + +IMPORTANT: It may take a while to start all the service pods hence the dashboard may not be accessible. You can check the status of the pods in the project *redhat_ods-applications*. +Navigate to *Workloads* -> *pods* and select project *redhat-ods-applications*. 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z3mR`X-<^&nvm`u9bo#U)W^o9U1{P&NxJEyI2~GfhetvFwE(Hu&%5wexV$VD8D@vCM zi>>~sq0ue%b_ufU@}+f&NVq`E7NEedB4Y35g#^an#d(A^?37YOb{VeGbSS@}Bo zTDRAzz>h^5oMK(e^mW|V|Dc)ME2ub@SH9PZOOA>pCpSZl2X1ZbUGL0839Iy3W^E;? zW&Trmpo7e8Pkt0)_5n9jxdU%62)Lvo7ax^-sC3#AhQzB(sUaMIRY2gUCoV`QV0q7J zAF5UH&974M1Slx#>*K++hg@=ybbykrufk4pQ7u{4eo4fs8a5)6Z@nXh?hB%;MW@x& zR9rV7(+fP30yN-#Z+=DyMhMndTlkF<490R#-|l;s<}HxaZ;xTq_-KEmB`@!sw?mr= zJnV}QGGtPQrw{lg`XtO=BbML7aeF1U!l4C_>3_UAk;MaG_4A6j7nf}%5?7exdG3!x zaT*Fz-G+ew#brm)xR{GI`rPkg51ZXqAip9kawlDu=vRrYT)Y}%|IY44dTQd|lCbH< z``c-+mW?745)>esgHCMcE(0SYB090FTo>HkSmc?@1+oe`28;hU5*^pFK#S~GaA<7( zgT(&Vn%MCwPbf+UcR|Re{a>^?qM6;yJjvu)_%`R_;aM@A&Ll`}1_$Ta{}zw_uRp>+ zWx4=m-l fDgR0f2$y_5QAD{v`=C%j0EeQSnryzbvEP3H2Y(N< literal 0 HcmV?d00001 From ae3340e188ab9d30a8e98174943f8649539d66fc Mon Sep 17 00:00:00 2001 From: Jirka Tesar Date: Thu, 19 Oct 2023 13:06:23 +0200 Subject: [PATCH 04/12] Image reference added --- modules/chapter1/pages/section1.adoc | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/modules/chapter1/pages/section1.adoc b/modules/chapter1/pages/section1.adoc index 83d3534..648ea2c 100644 --- a/modules/chapter1/pages/section1.adoc +++ b/modules/chapter1/pages/section1.adoc @@ -60,4 +60,5 @@ image::rhods_verify2.png[] IMPORTANT: It may take a while to start all the service pods hence the dashboard may not be accessible. You can check the status of the pods in the project *redhat_ods-applications*. Navigate to *Workloads* -> *pods* and select project *redhat-ods-applications*. All pods must be running and ready in order the dashboard to be accessible. - \ No newline at end of file + +image::rhods_verify_pods.png[] \ No newline at end of file From 276996ef02473603bc8a28a4399845dcca93291a Mon Sep 17 00:00:00 2001 From: Jirka Tesar Date: Thu, 19 Oct 2023 15:20:21 +0200 Subject: [PATCH 05/12] Minor text updates --- modules/chapter1/pages/section1.adoc | 55 ++++++++++++++-------------- 1 file changed, 27 insertions(+), 28 deletions(-) diff --git a/modules/chapter1/pages/section1.adoc b/modules/chapter1/pages/section1.adoc index 648ea2c..9b2035c 100644 --- a/modules/chapter1/pages/section1.adoc +++ b/modules/chapter1/pages/section1.adoc @@ -1,64 +1,63 @@ -//:imagesdir: images - - = Installation using the Web Console -Red{nbsp}Hat Openshift Data Science is installed as an operator. As a dependecy it requires another operator - Red{nbsp}Hat Openshift Pipelines to be installed as well. +*Red{nbsp}Hat Openshift Data Science* is installed as an operator. As a dependecy it requires the *Red{nbsp}Hat Openshift Pipelines* operator to be installed as well. -== Installing Red{nbsp}Hat Openshift Pipelines operator +== Installation of the Red{nbsp}Hat Openshift Pipelines operator -1. Login to Red{nbsp}Hat Openshift using a user which has cluster-admin role assigned +1. Login to Red{nbsp}Hat Openshift using a user which has the cluster-admin role assigned. 2. Navigate to **Operators** -> **OperatorHub** and seach for *Red{nbsp}Hat Openshift Pipelines* + -image::pipeline_search.png[] +image::pipeline_search.png[width=800] -3. Click on the Red{nbsp}Hat Openshift Pipelines operator and in the pop up window click on **Install** to open operator's installation view. +3. Click on the Red{nbsp}Hat Openshift Pipelines operator and in the pop up window click on **Install** to open the operator's installation view. + -image::pipeline_install1.png[] +image::pipeline_install1.png[width=800] -4. In the installation view some installation details can be tuned. Administrator can set the *Update{nbsp}channel* parameter to a specific version and the *Update{nbsp}approval* parameter to either *Automatic* or *Manual*. The *Installation{nbsp}mode* and the *Installed{nbsp}namespace* parameters are fixed. +4. In the installation view some installation parameters can be tuned. Administrator can set the *Update{nbsp}channel* parameter to a specific version and the *Update{nbsp}approval* parameter to either *Automatic* or *Manual*. The *Installation{nbsp}mode* and the *Installed{nbsp}namespace* parameters are fixed. + -image::pipeline_install2.png[align="center"] +image::pipeline_install2.png[width=800] + -Click on the **Install** button at the bottom of to view the to proceed with the installation. A window showing the installation progress will pop up +Click on the **Install** button at the bottom of to view the to proceed with the installation. A window showing the installation progress will pop up. + -image::pipeline_install3.png[] +image::pipeline_install3.png[width=800] + When the operator is installed you can view it's details by clicking on **View{nbsp}Operator** button. + -image::pipeline_install4.png[] +image::pipeline_install4.png[width=800] -== Installing Red{nbsp}Hat Openshift Data Science operator +== Installation of the Red{nbsp}Hat Openshift Data Science operator The process of the Red{nbsp}Hat Openshift Data Science operator installation is very similar to the Red{nbsp}Hat Openshift Pipelines operator. -1. Navigate to **Operators** -> **OperatorHub** and seach for *Red{nbsp}Hat Openshift Data Science* -+ -image::rhods_install1.png[] +1. Login to Red Hat Openshift using a user which has the cluster-admin role assigned. -2. Click on the Red{nbsp}Hat Openshift Data Science operator and in the pop up window click on **Install** to open operator's installation view. +2. Navigate to **Operators** -> **OperatorHub** and seach for *Red{nbsp}Hat Openshift Data Science*. + -image::rhods_install2.png[] +image::rhods_install1.png[width=800] -3. In the installation view window choose the **Update Channel**, **Installed{nbsp}Namespace** and *Update approval** or accept default values and click on **Install* the button. The *Installation{nbsp}mode* is fixed +3. Click on the Red{nbsp}Hat Openshift Data Science operator and in the pop up window click on **Install** to open the operator's installation view. ++ +image::rhods_install2.png[width=800] + +4. In the installation view window choose the **Update Channel**, **Installed{nbsp}Namespace** and *Update approval** or accept default values and click on **Install* the button. The *Installation{nbsp}mode* parameter is fixed. + -image::rhods_install3.png[] +image::rhods_install3.png[width=800] + Operator Installation progress window will pup up. The installation may take a couple of minutes. + -image::rhods_install4.png[] +image::rhods_install4.png[width=800] + When the operator is installed open the applications window in the right upper corner and *Red{nbsp}Hat Openshift Data Science* dashboard should be available. + -image::rhods_verify1.png[] +image::rhods_verify1.png[width=800] + When you click on the *Red{nbsp}Hat Openshift Data Science* dashboard button a login window should appear. + -image::rhods_verify2.png[] +image::rhods_verify2.png[width=800] -IMPORTANT: It may take a while to start all the service pods hence the dashboard may not be accessible. You can check the status of the pods in the project *redhat_ods-applications*. -Navigate to *Workloads* -> *pods* and select project *redhat-ods-applications*. All pods must be running and ready in order the dashboard to be accessible. +IMPORTANT: It may take a while to start all the service pods hence the dashboard may not be accessible immediately. You can check the status of the pods in the project *redhat-ods-applications*. +Navigate to *Workloads* -> *pods* and select project *redhat-ods-applications*. All pods must be running and be ready in order the dashboard to be accessible. -image::rhods_verify_pods.png[] \ No newline at end of file +image::rhods_verify_pods.png[width=800] \ No newline at end of file From b8a8583702992408949692accb0b58a0b587d48b Mon Sep 17 00:00:00 2001 From: Jirka Tesar Date: Thu, 26 Oct 2023 10:25:14 +0200 Subject: [PATCH 06/12] test --- modules/chapter1/pages/section1.adoc | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/modules/chapter1/pages/section1.adoc b/modules/chapter1/pages/section1.adoc index 9b2035c..74fd56c 100644 --- a/modules/chapter1/pages/section1.adoc +++ b/modules/chapter1/pages/section1.adoc @@ -1,4 +1,3 @@ - = Installation using the Web Console *Red{nbsp}Hat Openshift Data Science* is installed as an operator. As a dependecy it requires the *Red{nbsp}Hat Openshift Pipelines* operator to be installed as well. @@ -60,4 +59,4 @@ image::rhods_verify2.png[width=800] IMPORTANT: It may take a while to start all the service pods hence the dashboard may not be accessible immediately. You can check the status of the pods in the project *redhat-ods-applications*. Navigate to *Workloads* -> *pods* and select project *redhat-ods-applications*. All pods must be running and be ready in order the dashboard to be accessible. -image::rhods_verify_pods.png[width=800] \ No newline at end of file +image::rhods_verify_pods.png[width=800] From 2321bc45cdaa3618cf4617711910f5c26de7ad55 Mon Sep 17 00:00:00 2001 From: Jirka Tesar Date: Thu, 26 Oct 2023 17:27:39 +0200 Subject: [PATCH 07/12] section 1 -> section 2 --- modules/chapter1/pages/section1.adoc | 63 +--------------------------- modules/chapter1/pages/section2.adoc | 63 +++++++++++++++++++++++++++- 2 files changed, 62 insertions(+), 64 deletions(-) diff --git a/modules/chapter1/pages/section1.adoc b/modules/chapter1/pages/section1.adoc index 74fd56c..7b2aa6f 100644 --- a/modules/chapter1/pages/section1.adoc +++ b/modules/chapter1/pages/section1.adoc @@ -1,62 +1 @@ -= Installation using the Web Console - -*Red{nbsp}Hat Openshift Data Science* is installed as an operator. As a dependecy it requires the *Red{nbsp}Hat Openshift Pipelines* operator to be installed as well. - -== Installation of the Red{nbsp}Hat Openshift Pipelines operator - -1. Login to Red{nbsp}Hat Openshift using a user which has the cluster-admin role assigned. -2. Navigate to **Operators** -> **OperatorHub** and seach for *Red{nbsp}Hat Openshift Pipelines* -+ -image::pipeline_search.png[width=800] - -3. Click on the Red{nbsp}Hat Openshift Pipelines operator and in the pop up window click on **Install** to open the operator's installation view. -+ -image::pipeline_install1.png[width=800] - - -4. In the installation view some installation parameters can be tuned. Administrator can set the *Update{nbsp}channel* parameter to a specific version and the *Update{nbsp}approval* parameter to either *Automatic* or *Manual*. The *Installation{nbsp}mode* and the *Installed{nbsp}namespace* parameters are fixed. -+ -image::pipeline_install2.png[width=800] -+ -Click on the **Install** button at the bottom of to view the to proceed with the installation. A window showing the installation progress will pop up. -+ -image::pipeline_install3.png[width=800] -+ -When the operator is installed you can view it's details by clicking on **View{nbsp}Operator** button. -+ -image::pipeline_install4.png[width=800] - -== Installation of the Red{nbsp}Hat Openshift Data Science operator - -The process of the Red{nbsp}Hat Openshift Data Science operator installation is very similar to the Red{nbsp}Hat Openshift Pipelines operator. - -1. Login to Red Hat Openshift using a user which has the cluster-admin role assigned. - -2. Navigate to **Operators** -> **OperatorHub** and seach for *Red{nbsp}Hat Openshift Data Science*. -+ -image::rhods_install1.png[width=800] - -3. Click on the Red{nbsp}Hat Openshift Data Science operator and in the pop up window click on **Install** to open the operator's installation view. -+ -image::rhods_install2.png[width=800] - -4. In the installation view window choose the **Update Channel**, **Installed{nbsp}Namespace** and *Update approval** or accept default values and click on **Install* the button. The *Installation{nbsp}mode* parameter is fixed. -+ -image::rhods_install3.png[width=800] -+ -Operator Installation progress window will pup up. The installation may take a couple of minutes. -+ -image::rhods_install4.png[width=800] -+ -When the operator is installed open the applications window in the right upper corner and *Red{nbsp}Hat Openshift Data Science* dashboard should be available. -+ -image::rhods_verify1.png[width=800] -+ -When you click on the *Red{nbsp}Hat Openshift Data Science* dashboard button a login window should appear. -+ -image::rhods_verify2.png[width=800] - -IMPORTANT: It may take a while to start all the service pods hence the dashboard may not be accessible immediately. You can check the status of the pods in the project *redhat-ods-applications*. -Navigate to *Workloads* -> *pods* and select project *redhat-ods-applications*. All pods must be running and be ready in order the dashboard to be accessible. - -image::rhods_verify_pods.png[width=800] += Section 1 diff --git a/modules/chapter1/pages/section2.adoc b/modules/chapter1/pages/section2.adoc index 83a976c..74fd56c 100644 --- a/modules/chapter1/pages/section2.adoc +++ b/modules/chapter1/pages/section2.adoc @@ -1,3 +1,62 @@ -= Section 2 += Installation using the Web Console + +*Red{nbsp}Hat Openshift Data Science* is installed as an operator. As a dependecy it requires the *Red{nbsp}Hat Openshift Pipelines* operator to be installed as well. -This is _Section 2_ of _Chapter 1_ in the *hello* quick course.... \ No newline at end of file +== Installation of the Red{nbsp}Hat Openshift Pipelines operator + +1. Login to Red{nbsp}Hat Openshift using a user which has the cluster-admin role assigned. +2. Navigate to **Operators** -> **OperatorHub** and seach for *Red{nbsp}Hat Openshift Pipelines* ++ +image::pipeline_search.png[width=800] + +3. Click on the Red{nbsp}Hat Openshift Pipelines operator and in the pop up window click on **Install** to open the operator's installation view. ++ +image::pipeline_install1.png[width=800] + + +4. In the installation view some installation parameters can be tuned. Administrator can set the *Update{nbsp}channel* parameter to a specific version and the *Update{nbsp}approval* parameter to either *Automatic* or *Manual*. The *Installation{nbsp}mode* and the *Installed{nbsp}namespace* parameters are fixed. ++ +image::pipeline_install2.png[width=800] ++ +Click on the **Install** button at the bottom of to view the to proceed with the installation. A window showing the installation progress will pop up. ++ +image::pipeline_install3.png[width=800] ++ +When the operator is installed you can view it's details by clicking on **View{nbsp}Operator** button. ++ +image::pipeline_install4.png[width=800] + +== Installation of the Red{nbsp}Hat Openshift Data Science operator + +The process of the Red{nbsp}Hat Openshift Data Science operator installation is very similar to the Red{nbsp}Hat Openshift Pipelines operator. + +1. Login to Red Hat Openshift using a user which has the cluster-admin role assigned. + +2. Navigate to **Operators** -> **OperatorHub** and seach for *Red{nbsp}Hat Openshift Data Science*. ++ +image::rhods_install1.png[width=800] + +3. Click on the Red{nbsp}Hat Openshift Data Science operator and in the pop up window click on **Install** to open the operator's installation view. ++ +image::rhods_install2.png[width=800] + +4. In the installation view window choose the **Update Channel**, **Installed{nbsp}Namespace** and *Update approval** or accept default values and click on **Install* the button. The *Installation{nbsp}mode* parameter is fixed. ++ +image::rhods_install3.png[width=800] ++ +Operator Installation progress window will pup up. The installation may take a couple of minutes. ++ +image::rhods_install4.png[width=800] ++ +When the operator is installed open the applications window in the right upper corner and *Red{nbsp}Hat Openshift Data Science* dashboard should be available. ++ +image::rhods_verify1.png[width=800] ++ +When you click on the *Red{nbsp}Hat Openshift Data Science* dashboard button a login window should appear. ++ +image::rhods_verify2.png[width=800] + +IMPORTANT: It may take a while to start all the service pods hence the dashboard may not be accessible immediately. You can check the status of the pods in the project *redhat-ods-applications*. +Navigate to *Workloads* -> *pods* and select project *redhat-ods-applications*. All pods must be running and be ready in order the dashboard to be accessible. + +image::rhods_verify_pods.png[width=800] From 59fb56cd927d6d2c8c50df345f3ad7a5aaf406f2 Mon Sep 17 00:00:00 2001 From: Jirka Tesar Date: Mon, 30 Oct 2023 11:52:06 +0100 Subject: [PATCH 08/12] Operator installation order swapped --- modules/chapter1/pages/section2.adoc | 54 +++++++++++++++------------- 1 file changed, 29 insertions(+), 25 deletions(-) diff --git a/modules/chapter1/pages/section2.adoc b/modules/chapter1/pages/section2.adoc index 74fd56c..d6651d6 100644 --- a/modules/chapter1/pages/section2.adoc +++ b/modules/chapter1/pages/section2.adoc @@ -1,36 +1,14 @@ = Installation using the Web Console - -*Red{nbsp}Hat Openshift Data Science* is installed as an operator. As a dependecy it requires the *Red{nbsp}Hat Openshift Pipelines* operator to be installed as well. - -== Installation of the Red{nbsp}Hat Openshift Pipelines operator - -1. Login to Red{nbsp}Hat Openshift using a user which has the cluster-admin role assigned. -2. Navigate to **Operators** -> **OperatorHub** and seach for *Red{nbsp}Hat Openshift Pipelines* -+ -image::pipeline_search.png[width=800] -3. Click on the Red{nbsp}Hat Openshift Pipelines operator and in the pop up window click on **Install** to open the operator's installation view. -+ -image::pipeline_install1.png[width=800] +As mentioned earlier, *Red{nbsp}Hat Openshift Data Science* is available as an operator via Openshift Market place. In the following exercise you will install the operator using the Openshift web console. -4. In the installation view some installation parameters can be tuned. Administrator can set the *Update{nbsp}channel* parameter to a specific version and the *Update{nbsp}approval* parameter to either *Automatic* or *Manual*. The *Installation{nbsp}mode* and the *Installed{nbsp}namespace* parameters are fixed. -+ -image::pipeline_install2.png[width=800] -+ -Click on the **Install** button at the bottom of to view the to proceed with the installation. A window showing the installation progress will pop up. -+ -image::pipeline_install3.png[width=800] -+ -When the operator is installed you can view it's details by clicking on **View{nbsp}Operator** button. -+ -image::pipeline_install4.png[width=800] == Installation of the Red{nbsp}Hat Openshift Data Science operator -The process of the Red{nbsp}Hat Openshift Data Science operator installation is very similar to the Red{nbsp}Hat Openshift Pipelines operator. +IMPORTANT: The installation requires a user with the _cluster-admin_ role -1. Login to Red Hat Openshift using a user which has the cluster-admin role assigned. +1. Login to the Red Hat Openshift using a user which has the _cluster-admin_ role assigned. 2. Navigate to **Operators** -> **OperatorHub** and seach for *Red{nbsp}Hat Openshift Data Science*. + @@ -60,3 +38,29 @@ IMPORTANT: It may take a while to start all the service pods hence the dashboard Navigate to *Workloads* -> *pods* and select project *redhat-ods-applications*. All pods must be running and be ready in order the dashboard to be accessible. image::rhods_verify_pods.png[width=800] + + +== Installation of the Red{nbsp}Hat Openshift Pipelines operator + +1. Login to Red{nbsp}Hat Openshift using a user which has the cluster-admin role assigned. +2. Navigate to **Operators** -> **OperatorHub** and seach for *Red{nbsp}Hat Openshift Pipelines* ++ +image::pipeline_search.png[width=800] + +3. Click on the Red{nbsp}Hat Openshift Pipelines operator and in the pop up window click on **Install** to open the operator's installation view. ++ +image::pipeline_install1.png[width=800] + + +4. In the installation view some installation parameters can be tuned. Administrator can set the *Update{nbsp}channel* parameter to a specific version and the *Update{nbsp}approval* parameter to either *Automatic* or *Manual*. The *Installation{nbsp}mode* and the *Installed{nbsp}namespace* parameters are fixed. ++ +image::pipeline_install2.png[width=800] ++ +Click on the **Install** button at the bottom of to view the to proceed with the installation. A window showing the installation progress will pop up. ++ +image::pipeline_install3.png[width=800] ++ +When the operator is installed you can view it's details by clicking on **View{nbsp}Operator** button. ++ +image::pipeline_install4.png[width=800] + From bd7ddf582833bc0ed52534a2f1ff760ac12c2166 Mon Sep 17 00:00:00 2001 From: Jirka Tesar Date: Mon, 30 Oct 2023 15:01:50 +0100 Subject: [PATCH 09/12] RHODS2 web install initial commit --- modules/chapter1/images/rhods2-clusters.png | Bin 0 -> 86449 bytes .../chapter1/images/rhods2-create-cluster.png | Bin 0 -> 73003 bytes .../images/rhods2-install-finished.png | Bin 0 -> 44226 bytes .../chapter1/images/rhods2-install-view.png | Bin 0 -> 115274 bytes modules/chapter1/images/rhods2-install.png | Bin 0 -> 23027 bytes modules/chapter1/pages/section2.adoc | 90 +++++++++++++++--- 6 files changed, 76 insertions(+), 14 deletions(-) create mode 100644 modules/chapter1/images/rhods2-clusters.png create mode 100644 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image::rhods_install1.png[width=800] + image::rhods_install2.png[width=800] + 4. In the installation view window choose the **Update Channel**, **Installed{nbsp}Namespace** and *Update approval** or accept default values and click on **Install* the button. The *Installation{nbsp}mode* parameter is fixed. -+ -image::rhods_install3.png[width=800] ++ +NOTE: The version 2 operator is availble via the _alpha_ channel at the moment. ++ +image::rhods2-install-view.png[width=800] + Operator Installation progress window will pup up. The installation may take a couple of minutes. + -image::rhods_install4.png[width=800] +image::rhods2-install.png[width=800] + +5. When the operator's installation is finished, click on the *Create DataScienceCluster* button to create and configure your cluster. ++ +image::rhods2-install-finished.png[width=800] + +6. In the *Create DataScienceCluster* view name your cluster and select DataScience components that will be installed and managed by the operator. You can choose to create it using either the _Form view_ and _YAML View_. The _Form view_ is a web based form and 'YAML view' is based on a YAML definition of the DataScience cluster. The following picture shows the _Form view_. ++ +image::rhods2-create-cluster.png[width=800] ++ +If you choose the _YAML view_, you are presented with a template of the YAML DataScienceCluster definition similar to the one below. + -When the operator is installed open the applications window in the right upper corner and *Red{nbsp}Hat Openshift Data Science* dashboard should be available. +---- +apiVersion: datasciencecluster.opendatahub.io/v1 +kind: DataScienceCluster +metadata: + name: mycluster <1> + labels: + app.kubernetes.io/name: datasciencecluster + app.kubernetes.io/instance: default + app.kubernetes.io/part-of: rhods-operator + app.kubernetes.io/managed-by: kustomize + app.kubernetes.io/created-by: rhods-operator +spec: + components: + codeflare: + managementState: Removed <2> + dashboard: + managementState: Managed <3> + datasciencepipelines: + managementState: Managed + kserve: + managementState: Removed + modelmeshserving: + managementState: Managed + ray: + managementState: Removed + workbenches: + managementState: Managed +---- +<1> Name of the cluster +<2> For components you do not want to install use *Remove* +<3> For components you want to install and manage by the operator use *Managed* ++ +After naming the cluster and choosing the components you wish the operator to install and manage click on teh *Create* button. + +6. Wait until the status of the operator reads *Phase: +Ready* ++ +image::rhods2-clusters.png[width=800] + +7. The operator should be installed and configured now. +In the applications window in the right upper corner of the screen the *Red{nbsp}Hat Openshift Data Science* dashboard should be available. + image::rhods_verify1.png[width=800] + When you click on the *Red{nbsp}Hat Openshift Data Science* dashboard button a login window should appear. + image::rhods_verify2.png[width=800] ++ +IMPORTANT: It may take a while to start all the service pods hence the login window may not be accessible immediately. If you are getting an error, check the status of the pods in the project *redhat-ods-applications*. +Navigate to *Workloads* -> *pods* and select project *redhat-ods-applications*. All pods must be running and be ready. If they are not, wait until they become running and ready. ++ +image::rhods_verify_pods.png[width=800] -IMPORTANT: It may take a while to start all the service pods hence the dashboard may not be accessible immediately. You can check the status of the pods in the project *redhat-ods-applications*. -Navigate to *Workloads* -> *pods* and select project *redhat-ods-applications*. All pods must be running and be ready in order the dashboard to be accessible. -image::rhods_verify_pods.png[width=800] +== Installation of other operators required by Openshift Data Science. + +You may need to install other operators depending on the components and features of Openshift Data Science you want to use: +* Red{nbsp}Hat Openshift Pipelines operator +* NVIDIA GPU Operator +* Node Feature Discovery Operator -== Installation of the Red{nbsp}Hat Openshift Pipelines operator +The following exercise shows installation of the *Red{nbsp}Hat Openshift Pipelines* operator. Installation of the two other operators is very similar. -1. Login to Red{nbsp}Hat Openshift using a user which has the cluster-admin role assigned. + +1. Login to Red{nbsp}Hat Openshift using a user which has the _cluster-admin_ role assigned. 2. Navigate to **Operators** -> **OperatorHub** and seach for *Red{nbsp}Hat Openshift Pipelines* + image::pipeline_search.png[width=800] -3. Click on the Red{nbsp}Hat Openshift Pipelines operator and in the pop up window click on **Install** to open the operator's installation view. +3. Click on the *Red{nbsp}Hat Openshift Pipelines* operator and in the pop up window click on **Install** to open the operator's installation view. + image::pipeline_install1.png[width=800] @@ -55,12 +117,12 @@ image::pipeline_install1.png[width=800] 4. In the installation view some installation parameters can be tuned. Administrator can set the *Update{nbsp}channel* parameter to a specific version and the *Update{nbsp}approval* parameter to either *Automatic* or *Manual*. The *Installation{nbsp}mode* and the *Installed{nbsp}namespace* parameters are fixed. + image::pipeline_install2.png[width=800] -+ -Click on the **Install** button at the bottom of to view the to proceed with the installation. A window showing the installation progress will pop up. + +5. Click on the **Install** button at the bottom of to view the to proceed with the installation. A window showing the installation progress will pop up. + image::pipeline_install3.png[width=800] -+ -When the operator is installed you can view it's details by clicking on **View{nbsp}Operator** button. + +6. When the operator is installed you can view it's details by clicking on **View{nbsp}Operator** button. + image::pipeline_install4.png[width=800] From 3ad77b8d25618ff24ff57e62180301583ca9ea9c Mon Sep 17 00:00:00 2001 From: Jirka Tesar Date: Wed, 1 Nov 2023 16:03:55 +0100 Subject: [PATCH 10/12] Web based installation of the RHODSv2 --- modules/chapter1/pages/section2.adoc | 27 +++++++++++++++------------ 1 file changed, 15 insertions(+), 12 deletions(-) diff --git a/modules/chapter1/pages/section2.adoc b/modules/chapter1/pages/section2.adoc index 21cce82..4832188 100644 --- a/modules/chapter1/pages/section2.adoc +++ b/modules/chapter1/pages/section2.adoc @@ -1,10 +1,9 @@ = Installation using the Web Console -As mentioned earlier, *Red{nbsp}Hat Openshift Data Science* is available as an operator via Openshift Market place. In the following exercise you will install the operator using the Openshift web console. +As mentioned earlier, *Red{nbsp}Hat Openshift Data Science* is available as an operator via Openshift Market Place. In the following demonstration you will install the *Red{nbsp}Hat Openshift Data Science* operator version 2 using the Openshift web console. - -== Installation of the Red{nbsp}Hat Openshift Data Science operator +== Demo: Installation of the Red{nbsp}Hat Openshift Data Science operator IMPORTANT: The installation requires a user with the _cluster-admin_ role @@ -14,10 +13,12 @@ IMPORTANT: The installation requires a user with the _cluster-admin_ role + image::rhods_install1.png[width=800] + 3. Click on the Red{nbsp}Hat Openshift Data Science operator and in the pop up window click on **Install** to open the operator's installation view. + +IMPORTANT: Make sure you select *Openshift Data Science* from *Red{nbsp}Hat* not the *Community* version. ++ image::rhods_install2.png[width=800] - 4. In the installation view window choose the **Update Channel**, **Installed{nbsp}Namespace** and *Update approval** or accept default values and click on **Install* the button. The *Installation{nbsp}mode* parameter is fixed. + @@ -33,7 +34,7 @@ image::rhods2-install.png[width=800] + image::rhods2-install-finished.png[width=800] -6. In the *Create DataScienceCluster* view name your cluster and select DataScience components that will be installed and managed by the operator. You can choose to create it using either the _Form view_ and _YAML View_. The _Form view_ is a web based form and 'YAML view' is based on a YAML definition of the DataScience cluster. The following picture shows the _Form view_. +6. In the *Create DataScienceCluster* view name your cluster and select DataScience components that will be installed and managed by the operator. You can choose to create it using either the _Form view_ and _YAML View_. The _Form view_ is a web based form and 'YAML view' is based on a YAML definition of the DataScience cluster resource. The following picture shows the _Form view_. + image::rhods2-create-cluster.png[width=800] + @@ -67,18 +68,18 @@ spec: workbenches: managementState: Managed ---- -<1> Name of the cluster +<1> Name of the cluster <2> For components you do not want to install use *Remove* <3> For components you want to install and manage by the operator use *Managed* + -After naming the cluster and choosing the components you wish the operator to install and manage click on teh *Create* button. +After naming the cluster and choosing the components you wish the operator to install and manage click on the *Create* button. -6. Wait until the status of the operator reads *Phase: +7. Wait until the status of the operator reads *Phase: Ready* + image::rhods2-clusters.png[width=800] -7. The operator should be installed and configured now. +8. The operator should be installed and configured now. In the applications window in the right upper corner of the screen the *Red{nbsp}Hat Openshift Data Science* dashboard should be available. + image::rhods_verify1.png[width=800] @@ -93,7 +94,8 @@ Navigate to *Workloads* -> *pods* and select project *redhat-ods-applications*. image::rhods_verify_pods.png[width=800] -== Installation of other operators required by Openshift Data Science. +== Installation of other operators required by Openshift Data Science + You may need to install other operators depending on the components and features of Openshift Data Science you want to use: @@ -101,8 +103,9 @@ You may need to install other operators depending on the components and features * NVIDIA GPU Operator * Node Feature Discovery Operator -The following exercise shows installation of the *Red{nbsp}Hat Openshift Pipelines* operator. Installation of the two other operators is very similar. +The following demo shows installation of the *Red{nbsp}Hat Openshift Pipelines* operator. Installation of the two other operators is very similar. +=== Demo: Installation of the *Red{nbsp}Hat Openshift Pipelines* operator 1. Login to Red{nbsp}Hat Openshift using a user which has the _cluster-admin_ role assigned. 2. Navigate to **Operators** -> **OperatorHub** and seach for *Red{nbsp}Hat Openshift Pipelines* @@ -122,7 +125,7 @@ image::pipeline_install2.png[width=800] + image::pipeline_install3.png[width=800] -6. When the operator is installed you can view it's details by clicking on **View{nbsp}Operator** button. +6. When the installation finishes the operator is ready to be used by the *Red{nbsp}Hat Openshift Data Science*. + image::pipeline_install4.png[width=800] From bc88e8f7757192fd6ff8529236c571a73b1177f8 Mon Sep 17 00:00:00 2001 From: Jirka Tesar Date: Wed, 1 Nov 2023 21:17:59 +0100 Subject: [PATCH 11/12] Minor changes --- modules/chapter1/pages/section2.adoc | 21 ++++++++++----------- 1 file changed, 10 insertions(+), 11 deletions(-) diff --git a/modules/chapter1/pages/section2.adoc b/modules/chapter1/pages/section2.adoc index 4832188..b8c1689 100644 --- a/modules/chapter1/pages/section2.adoc +++ b/modules/chapter1/pages/section2.adoc @@ -1,6 +1,6 @@ = Installation using the Web Console -As mentioned earlier, *Red{nbsp}Hat Openshift Data Science* is available as an operator via Openshift Market Place. In the following demonstration you will install the *Red{nbsp}Hat Openshift Data Science* operator version 2 using the Openshift web console. +As mentioned earlier, *Red{nbsp}Hat Openshift Data Science* is available as an operator via Openshift Market Place. In the following demonstration you will install the *Red{nbsp}Hat Openshift Data Science operator V2* using the Openshift web console. == Demo: Installation of the Red{nbsp}Hat Openshift Data Science operator @@ -20,9 +20,7 @@ IMPORTANT: Make sure you select *Openshift Data Science* from *Red{nbsp}Hat* not + image::rhods_install2.png[width=800] -4. In the installation view window choose the **Update Channel**, **Installed{nbsp}Namespace** and *Update approval** or accept default values and click on **Install* the button. The *Installation{nbsp}mode* parameter is fixed. -+ -NOTE: The version 2 operator is availble via the _alpha_ channel at the moment. +4. In the installation view window choose the _alpha_ *Update Channel*, _Automatic_ *Update approval* and keep the default *Installed Namespace*. Click on the *Install* button to start the installation. + image::rhods2-install-view.png[width=800] + @@ -34,11 +32,13 @@ image::rhods2-install.png[width=800] + image::rhods2-install-finished.png[width=800] -6. In the *Create DataScienceCluster* view name your cluster and select DataScience components that will be installed and managed by the operator. You can choose to create it using either the _Form view_ and _YAML View_. The _Form view_ is a web based form and 'YAML view' is based on a YAML definition of the DataScience cluster resource. The following picture shows the _Form view_. +6. In the *Create DataScienceCluster* view choose a name for your cluster and select components that will be installed and managed by the operator. For this demonstration you can accept the default selection of components. ++ +You can choose to create the DataScienceCluster using either the _Form view_ or the _YAML View_. The _Form view_ is a web based form and 'YAML view' is based on a YAML definition of the DataScience cluster resource. The following picture shows the _Form view_. + image::rhods2-create-cluster.png[width=800] + -If you choose the _YAML view_, you are presented with a template of the YAML DataScienceCluster definition similar to the one below. +If you choose the _YAML view_, you are presented with a template of the YAML DataScienceCluster resource definition similar to the one below. + ---- apiVersion: datasciencecluster.opendatahub.io/v1 @@ -69,13 +69,12 @@ spec: managementState: Managed ---- <1> Name of the cluster -<2> For components you do not want to install use *Remove* -<3> For components you want to install and manage by the operator use *Managed* +<2> For components you *do not* want to install use *Remove* +<3> For components you *want* to install and manage by the operator use *Managed* + After naming the cluster and choosing the components you wish the operator to install and manage click on the *Create* button. -7. Wait until the status of the operator reads *Phase: -Ready* +7. After creating the DataScienceCluster a view showing the DataScienceCluster details opens. Wait until the status of the cluster reads *Phase: Ready* + image::rhods2-clusters.png[width=800] @@ -84,7 +83,7 @@ In the applications window in the right upper corner of the screen the *Red{nbsp + image::rhods_verify1.png[width=800] + -When you click on the *Red{nbsp}Hat Openshift Data Science* dashboard button a login window should appear. +9. Click on the *Red{nbsp}Hat Openshift Data Science* button to log in to the *Red{nbsp}Hat Openshift Data Science*. + image::rhods_verify2.png[width=800] + From 589345983120357bc812aba81c49aa88855fa599 Mon Sep 17 00:00:00 2001 From: Jirka Tesar Date: Wed, 1 Nov 2023 21:24:07 +0100 Subject: [PATCH 12/12] minor changes --- modules/chapter1/pages/section2.adoc | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/modules/chapter1/pages/section2.adoc b/modules/chapter1/pages/section2.adoc index b8c1689..4cd1c2b 100644 --- a/modules/chapter1/pages/section2.adoc +++ b/modules/chapter1/pages/section2.adoc @@ -98,11 +98,12 @@ image::rhods_verify_pods.png[width=800] You may need to install other operators depending on the components and features of Openshift Data Science you want to use: -* Red{nbsp}Hat Openshift Pipelines operator -* NVIDIA GPU Operator -* Node Feature Discovery Operator +* https://www.redhat.com/en/technologies/cloud-computing/openshift/pipelines[Red{nbsp}Hat Openshift Pipelines Operator] +* https://docs.nvidia.com/datacenter/cloud-native/gpu-operator/latest/index.html[NVIDIA GPU Operator] +* https://docs.openshift.com/container-platform/4.13/hardware_enablement/psap-node-feature-discovery-operator.html[Node Feature Discovery Operator] -The following demo shows installation of the *Red{nbsp}Hat Openshift Pipelines* operator. Installation of the two other operators is very similar. + +The following demonstration shows the installation of the https://www.redhat.com/en/technologies/cloud-computing/openshift/pipelines[Red{nbsp}Hat Openshift Pipelines Operator]. Installation of the two other operators is very similar. === Demo: Installation of the *Red{nbsp}Hat Openshift Pipelines* operator @@ -116,7 +117,7 @@ image::pipeline_search.png[width=800] image::pipeline_install1.png[width=800] -4. In the installation view some installation parameters can be tuned. Administrator can set the *Update{nbsp}channel* parameter to a specific version and the *Update{nbsp}approval* parameter to either *Automatic* or *Manual*. The *Installation{nbsp}mode* and the *Installed{nbsp}namespace* parameters are fixed. +4. In the installation view choose the *Update{nbsp}channel* and the *Update{nbsp}approval* parameters. You can accept the default values. The *Installation{nbsp}mode* and the *Installed{nbsp}namespace* parameters are fixed. + image::pipeline_install2.png[width=800]

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