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Posted to commits@devlake.apache.org by ab...@apache.org on 2023/09/15 08:10:07 UTC
[incubator-devlake-website] branch main updated: chore: upgrade to v0.18.0 (#639)
This is an automated email from the ASF dual-hosted git repository.
abeizn pushed a commit to branch main
in repository https://gitbox.apache.org/repos/asf/incubator-devlake-website.git
The following commit(s) were added to refs/heads/main by this push:
new 9f5809cec2 chore: upgrade to v0.18.0 (#639)
9f5809cec2 is described below
commit 9f5809cec2559a35963599d100cd021c4bfed452
Author: 青湛 <0x...@gmail.com>
AuthorDate: Fri Sep 15 20:10:02 2023 +1200
chore: upgrade to v0.18.0 (#639)
* chore: upgrade to v0.18.0
* feat: add docs about v0.19
---
docusaurus.config.js | 3 +
.../GettingStarted/DockerComposeSetup.md | 2 +-
.../version-v0.18/GettingStarted/HelmSetup.md | 6 +-
.../version-v0.19/Configuration/AdvancedMode.md | 388 +
.../version-v0.19/Configuration/AzureDevOps.md | 95 +
.../version-v0.19/Configuration/BitBucket.md | 148 +
.../Configuration/Dashboards/AccessControl.md | 44 +
.../Configuration/Dashboards/GrafanaUserGuide.md | 135 +
.../Configuration/Dashboards/_category_.json | 4 +
.../version-v0.19/Configuration/GitHub.md | 194 +
.../version-v0.19/Configuration/GitLab.md | 129 +
.../version-v0.19/Configuration/Jenkins.md | 81 +
versioned_docs/version-v0.19/Configuration/Jira.md | 157 +
.../version-v0.19/Configuration/PagerDuty.md | 57 +
.../version-v0.19/Configuration/SonarQube.md | 65 +
versioned_docs/version-v0.19/Configuration/Tapd.md | 76 +
.../Configuration/TeamConfiguration.md | 194 +
.../version-v0.19/Configuration/Teambition.md | 56 +
.../version-v0.19/Configuration/Tutorial.md | 92 +
.../version-v0.19/Configuration/Zentao.md | 59 +
.../version-v0.19/Configuration/_category_.json | 8 +
.../images/add-a-connection-project.png | Bin 0 -> 76516 bytes
.../images/azuredevops-create-a-connection.png | Bin 0 -> 400983 bytes
.../images/azuredevops-set-data-scope.png | Bin 0 -> 274513 bytes
.../images/azuredevops-set-transformation.png | Bin 0 -> 199042 bytes
.../version-v0.19/Configuration/images/cfr.png | Bin 0 -> 47658 bytes
.../Configuration/images/collect-data.png | Bin 0 -> 74240 bytes
.../Configuration/images/create-a-project.png | Bin 0 -> 93626 bytes
.../Configuration/images/deployment_definition.png | Bin 0 -> 150056 bytes
.../Configuration/images/deployments.png | Bin 0 -> 18243 bytes
.../images/domain-layer-schema-diagram.svg | 19076 ++++++++++++++++++
.../Configuration/images/domain_layer_model.ndm2 | 19388 +++++++++++++++++++
.../images/github-add-data-scopes.png | Bin 0 -> 141633 bytes
.../images/github-create-a-connection.png | Bin 0 -> 281816 bytes
.../Configuration/images/github-scope-config.png | Bin 0 -> 134218 bytes
.../images/github-set-transformation1.png | Bin 0 -> 70266 bytes
.../images/github-set-transformation2.png | Bin 0 -> 388738 bytes
.../images/gitlab-create-a-connection.png | Bin 0 -> 200565 bytes
.../Configuration/images/gitlab-scope-config.png | Bin 0 -> 90416 bytes
.../images/gitlab-set-transformation1.png | Bin 0 -> 63415 bytes
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.../images/introduction-userflow1.png | Bin 0 -> 239178 bytes
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.../images/introduction-userflow5.png | Bin 0 -> 176636 bytes
.../images/jenkins-create-a-connection.png | Bin 0 -> 190486 bytes
.../images/jenkins-set-transformation1.png | Bin 0 -> 48401 bytes
.../images/jenkins-set-transformation2.png | Bin 0 -> 180262 bytes
.../Configuration/images/jira-add-data-scopes.png | Bin 0 -> 107464 bytes
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.../images/jira-set-transformation3.png | Bin 0 -> 36392 bytes
.../Configuration/images/lead_time.png | Bin 0 -> 33594 bytes
.../images/lead_time_for_changes_definition.png | Bin 0 -> 397572 bytes
.../version-v0.19/Configuration/images/mttr.png | Bin 0 -> 35749 bytes
.../images/pagerduty-add-data-connection.png | Bin 0 -> 21282 bytes
.../images/pagerduty-create-a-connection.png | Bin 0 -> 27379 bytes
.../images/pagerduty-set-data-scope.png | Bin 0 -> 21967 bytes
.../Configuration/images/pagerduty-sync-policy.png | Bin 0 -> 41409 bytes
.../Configuration/images/sync-policy.png | Bin 0 -> 57804 bytes
.../Configuration/images/upload-dashboard.png | Bin 0 -> 792089 bytes
.../images/zentao-create-a-connection.png | Bin 0 -> 198778 bytes
.../version-v0.19/Configuration/webhook.md | 40 +
versioned_docs/version-v0.19/DORA.md | 214 +
.../DataModels/DevLakeDomainLayerSchema.md | 795 +
.../version-v0.19/DataModels/RawLayerSchema.md | 29 +
.../version-v0.19/DataModels/SystemTables.md | 28 +
.../version-v0.19/DataModels/ToolLayerSchema.md | 28 +
.../version-v0.19/DataModels/_category_.json | 8 +
.../version-v0.19/DeveloperManuals/DBMigration.md | 90 +
.../version-v0.19/DeveloperManuals/Dal.md | 173 +
.../DeveloperManuals/DeveloperSetup.md | 128 +
.../DeveloperManuals/E2E-Test-Guide.md | 211 +
.../DeveloperManuals/Notifications.md | 32 +
.../DeveloperManuals/PluginImplementation.md | 15 +
.../version-v0.19/DeveloperManuals/Project.md | 251 +
.../version-v0.19/DeveloperManuals/Release-SOP.md | 146 +
.../DeveloperManuals/SourceCodeReference.md | 12 +
.../DeveloperManuals/TagNamingConventions.md | 13 +
.../version-v0.19/DeveloperManuals/UnitTest.md | 42 +
.../version-v0.19/DeveloperManuals/_category_.json | 8 +
.../version-v0.19/GettingStarted/Authentication.md | 43 +
.../GettingStarted/DockerComposeSetup.md | 2 +-
.../GettingStarted/HelmSetup.md | 6 +-
.../version-v0.19/GettingStarted/Upgrade.md | 22 +
.../version-v0.19/GettingStarted/_category_.json | 8 +
.../version-v0.19/Metrics/AddedLinesOfCode.md | 79 +
versioned_docs/version-v0.19/Metrics/BugAge.md | 77 +
.../Metrics/BugCountPer1kLinesOfCode.md | 88 +
versioned_docs/version-v0.19/Metrics/BuildCount.md | 72 +
.../version-v0.19/Metrics/BuildDuration.md | 72 +
.../version-v0.19/Metrics/BuildSuccessRate.md | 89 +
versioned_docs/version-v0.19/Metrics/CFR.md | 163 +
.../version-v0.19/Metrics/CQDuplicatedBlocks.md | 42 +
.../version-v0.19/Metrics/CQDuplicatedLines.md | 43 +
.../version-v0.19/Metrics/CQIssueCount.md | 97 +
.../Metrics/CQMaintainability-Debt.md | 43 +
versioned_docs/version-v0.19/Metrics/CQTest.md | 42 +
.../version-v0.19/Metrics/CommitAuthorCount.md | 52 +
.../version-v0.19/Metrics/CommitCount.md | 83 +
.../version-v0.19/Metrics/DeletedLinesOfCode.md | 77 +
.../version-v0.19/Metrics/DeploymentFrequency.md | 180 +
.../version-v0.19/Metrics/IncidentAge.md | 76 +
.../Metrics/IncidentCountPer1kLinesOfCode.md | 88 +
.../version-v0.19/Metrics/LeadTimeForChanges.md | 150 +
versioned_docs/version-v0.19/Metrics/MTTR.md | 143 +
.../version-v0.19/Metrics/PRCodingTime.md | 56 +
versioned_docs/version-v0.19/Metrics/PRCount.md | 85 +
.../version-v0.19/Metrics/PRCycleTime.md | 67 +
.../version-v0.19/Metrics/PRDeployTime.md | 72 +
.../version-v0.19/Metrics/PRMergeRate.md | 95 +
.../version-v0.19/Metrics/PRPickupTime.md | 59 +
.../version-v0.19/Metrics/PRReviewDepth.md | 52 +
.../version-v0.19/Metrics/PRReviewTime.md | 63 +
versioned_docs/version-v0.19/Metrics/PRSize.md | 63 +
.../version-v0.19/Metrics/PRTimeToMerge.md | 78 +
.../version-v0.19/Metrics/RequirementCount.md | 72 +
.../Metrics/RequirementDeliveryRate.md | 88 +
.../Metrics/RequirementGranularity.md | 36 +
.../version-v0.19/Metrics/RequirementLeadTime.md | 79 +
.../version-v0.19/Metrics/_category_.json | 8 +
.../version-v0.19/Overview/Architecture.md | 39 +
.../version-v0.19/Overview/Introduction.md | 51 +
.../version-v0.19/Overview/KeyConcepts.md | 114 +
.../version-v0.19/Overview/References.md | 19 +
versioned_docs/version-v0.19/Overview/Roadmap.md | 33 +
.../version-v0.19/Overview/SupportedDataSources.md | 253 +
.../version-v0.19/Overview/_category_.json | 8 +
.../version-v0.19/Plugins/_category_.json | 8 +
.../version-v0.19/Plugins/azuredevops.md | 71 +
versioned_docs/version-v0.19/Plugins/bamboo.md | 67 +
versioned_docs/version-v0.19/Plugins/bitbucket.md | 80 +
versioned_docs/version-v0.19/Plugins/customize.md | 214 +
versioned_docs/version-v0.19/Plugins/dbt.md | 67 +
versioned_docs/version-v0.19/Plugins/feishu.md | 74 +
versioned_docs/version-v0.19/Plugins/gitee.md | 110 +
.../version-v0.19/Plugins/gitextractor.md | 135 +
versioned_docs/version-v0.19/Plugins/github.md | 145 +
versioned_docs/version-v0.19/Plugins/gitlab.md | 100 +
versioned_docs/version-v0.19/Plugins/jenkins.md | 108 +
versioned_docs/version-v0.19/Plugins/jira.md | 74 +
versioned_docs/version-v0.19/Plugins/pagerduty.md | 21 +
versioned_docs/version-v0.19/Plugins/refdiff.md | 132 +
versioned_docs/version-v0.19/Plugins/sonarqube.md | 67 +
versioned_docs/version-v0.19/Plugins/tapd.md | 27 +
versioned_docs/version-v0.19/Plugins/teambition.md | 29 +
versioned_docs/version-v0.19/Plugins/trello.md | 103 +
versioned_docs/version-v0.19/Plugins/webhook.md | 199 +
versioned_docs/version-v0.19/Plugins/zentao.md | 28 +
.../version-v0.19/Troubleshooting/Configuration.md | 74 +
.../version-v0.19/Troubleshooting/Dashboard.md | 55 +
.../version-v0.19/Troubleshooting/Installation.md | 15 +
.../Troubleshooting/MySqlSizeIssue.md | 91 +
.../version-v0.19/Troubleshooting/_category_.json | 8 +
versioned_sidebars/version-v0.19-sidebars.json | 8 +
versions.json | 1 +
158 files changed, 48150 insertions(+), 8 deletions(-)
diff --git a/docusaurus.config.js b/docusaurus.config.js
index ffc8e3f21d..8b5cb286da 100644
--- a/docusaurus.config.js
+++ b/docusaurus.config.js
@@ -42,6 +42,9 @@ const versions = require('./versions.json');
path: '',
banner: 'none',
},
+ "v0.19": {
+ banner: 'none',
+ },
"v0.18":{
banner: 'none',
},
diff --git a/versioned_docs/version-v0.18/GettingStarted/DockerComposeSetup.md b/versioned_docs/version-v0.18/GettingStarted/DockerComposeSetup.md
index f2a8bb5582..f799a876bd 100644
--- a/versioned_docs/version-v0.18/GettingStarted/DockerComposeSetup.md
+++ b/versioned_docs/version-v0.18/GettingStarted/DockerComposeSetup.md
@@ -12,7 +12,7 @@ sidebar_position: 1
## Launch DevLake
-1. Download `docker-compose.yml` and `env.example` from the [latest release](https://github.com/apache/incubator-devlake/releases/tag/v0.18.0-beta9) into a folder.
+1. Download `docker-compose.yml` and `env.example` from the [latest release](https://github.com/apache/incubator-devlake/releases/tag/v0.18.0) into a folder.
2. Rename `env.example` to `.env`. For Mac/Linux users, please run `mv env.example .env` in the terminal. This file contains the environment variables that the Devlake server will use. Additional ones can be found in the compose file(s).
3. Generate a secure encryption key using a method such as OpenSSL. For example, run the following command to generate a 128-character string consisting of uppercase letters:
diff --git a/versioned_docs/version-v0.18/GettingStarted/HelmSetup.md b/versioned_docs/version-v0.18/GettingStarted/HelmSetup.md
index afc4e587ec..15a86e8da3 100644
--- a/versioned_docs/version-v0.18/GettingStarted/HelmSetup.md
+++ b/versioned_docs/version-v0.18/GettingStarted/HelmSetup.md
@@ -41,7 +41,7 @@ To install the chart with release name `devlake`,follow these steps:
```shell
helm repo add devlake https://apache.github.io/incubator-devlake-helm-chart
helm repo update
- helm install devlake devlake/devlake --version=0.18.0-beta9 --set lake.encryptionSecret.secret=$ENCRYPTION_SECRET
+ helm install devlake devlake/devlake --version=0.18.0 --set lake.encryptionSecret.secret=$ENCRYPTION_SECRET
```
And visit your devlake from the node port (32001 by default).
@@ -80,14 +80,14 @@ grafana by url `http://YOUR-NODE-IP:30091`
```shell
helm repo update
-helm upgrade devlake devlake/devlake --version=0.18.0-beta9 --set lake.encryptionSecret.secret=<ENCRYPTION_SECRET>
+helm upgrade devlake devlake/devlake --version=0.18.0 --set lake.encryptionSecret.secret=<ENCRYPTION_SECRET>
```
**If you're upgrading from DevLake v0.18.x or later versions:**
```shell
helm repo update
-helm upgrade devlake devlake/devlake --version=0.18.0-beta9
+helm upgrade devlake devlake/devlake --version=0.18.0
```
### Uninstall
diff --git a/versioned_docs/version-v0.19/Configuration/AdvancedMode.md b/versioned_docs/version-v0.19/Configuration/AdvancedMode.md
new file mode 100644
index 0000000000..0d6535c850
--- /dev/null
+++ b/versioned_docs/version-v0.19/Configuration/AdvancedMode.md
@@ -0,0 +1,388 @@
+---
+title: "Blueprint Advanced Mode"
+sidebar_position: 9
+description: >
+ Using the advanced mode of Config-UI
+---
+
+## Why advanced mode?
+
+Advanced mode allows users to create any pipeline by writing JSON. This is useful for users who want to:
+
+1. Collect multiple GitHub/GitLab repos or Jira projects within a single pipeline
+2. Have fine-grained control over what entities to collect or what subtasks to run for each plugin
+3. Orchestrate a complex pipeline that consists of multiple stages of plugins.
+
+Advanced mode gives utmost flexibility to users by exposing the JSON API.
+
+## How to use advanced mode to create pipelines?
+
+1. Click on "+ New Blueprint" on the Blueprint page.
+
+
+
+2. In step 1, click on the "Advanced Mode" link.
+
+
+
+3. The pipeline editor expects a 2D array of plugins. The first dimension represents different stages of the pipeline and the second dimension describes the plugins in each stage. Stages run in sequential order and plugins within the same stage runs in parallel. We provide some templates for users to get started. Please also see the next section for some examples.
+
+
+
+4. You can choose how often you would like to sync your data in this step by selecting a sync frequency option or enter a cron code to specify your preferred schedule. After setting up the Blueprint, you will be prompted to the Blueprint's activity detail page, where you can track the progress of the current run and wait for it to finish before the dashboards become available. You can also view all historical runs of previously created Blueprints from the list on the Blueprint page.
+
+## Examples
+
+### 1. GitHub
+
+Collect multiple GitHub repos sequentially. Below is an example for collecting 2 GitHub repos sequentially. It has 2 stages, each contains a GitHub task.
+
+```
+[
+ [
+ {
+ "Plugin": "github",
+ "Options": {
+ "connectionId": 1,
+ "repo": "incubator-devlake",
+ "owner": "apache"
+ }
+ },
+ {
+ "Plugin": "github",
+ "Options": {
+ "connectionId": 1,
+ "repo": "lake",
+ "owner": "merico-dev"
+ }
+ }
+ ]
+]
+```
+
+GitHub:
+
+- `connectionId`: The ID of your GitHub connection at page http://localhost:4000/connections/github.
+- `owner`: Just take a look at the URL: https://github.com/apache/incubator-devlake, owner is `apache`.
+- `repo`: Just take a look at the URL: https://github.com/apache/incubator-devlake, repo is `incubator-devlake`.
+
+### 2. GitLab
+
+Collect multiple GitLab repos sequentially.
+
+> When there're multiple collection tasks against a single data source, we recommend running these tasks sequentially since the collection speed is mostly limited by the API rate limit of the data source.
+> Running multiple tasks against the same data source is unlikely to speed up the process and may overwhelm the data source.
+
+Below is an example for collecting 2 GitLab repos sequentially. It has 2 stages, each contains a GitLab task.
+
+```
+[
+ [
+ {
+ "Plugin": "gitlab",
+ "Options": {
+ "connectionId": 1,
+ "projectId": 152***74
+ }
+ }
+ ],
+ [
+ {
+ "Plugin": "gitlab",
+ "Options": {
+ "connectionId": 2,
+ "projectId": 116***98
+ }
+ }
+ ]
+]
+```
+
+- `connectionId`: The ID of your GitLab connection at page http://localhost:4000/connections/gitlab.
+- `projectId`: GitLab repo's Project ID.
+
+### 3. Jenkins
+
+Collect multiple Jenkins jobs sequentially. Below is an example for collecting 2 Jenkins jobs sequentially. It has 2 stages, each contains a Jenkins task.
+
+```
+[
+ [
+ {
+ "plugin": "jenkins",
+ "options": {
+ "connectionId": 1,
+ "scopeId": "auto_deploy"
+ }
+ }
+ ],
+ [
+ {
+ "plugin": "jenkins",
+ "options": {
+ "connectionId": 2,
+ "scopeId": "Deploy test"
+ }
+ }
+ ]
+]
+```
+
+- `connectionId`: The ID of your Jenkins connection at page http://localhost:4000/connections/jenkins.
+- `scopeId`: Jenkins job name.
+
+### 4. Jira
+
+Collect multiple Jira boards sequentially. Below is an example for collecting 2 Jira boards sequentially. It has 2 stages, each contains a Jira task.
+
+```
+[
+ [
+ {
+ "plugin": "jira",
+ "options": {
+ "boardId": 8,
+ "connectionId": 1
+ }
+ }
+ ],
+ [
+ {
+ "plugin": "jira",
+ "options": {
+ "boardId": 26,
+ "connectionId": 1
+ }
+ }
+ ]
+]
+```
+
+- `connectionId`: The ID of your Jira connection at page http://localhost:4000/connections/jira.
+- `boardId`: Just take a look at the URL - it will be the last number in the address. Should look something like this at the end: `RapidBoard.jspa?rapidView=8` or `/projects/xxx/boards/8`. So `8` would be the board ID in that case.
+
+### 5. Jira + GitLab
+
+Below is an example for collecting a GitLab repo and a Jira board in parallel. It has a single stage with a GitLab task and a Jira task. As GitLab and Jira are using their own tokens, they can be executed in parallel.
+
+```
+[
+ [
+ {
+ "plugin":"jira",
+ "options":{
+ "boardId":8,
+ "connectionId":1
+ }
+ }
+ ],
+ [
+ {
+ "Plugin":"gitlab",
+ "Options":{
+ "connectionId":1,
+ "projectId":116***98
+ }
+ }
+ ]
+]
+```
+
+### 6. TAPD
+
+Below is an example for collecting a TAPD workspace. Since users can configure multiple TAPD connection, it's required to pass in a `connectionId` for TAPD task to specify which connection to use.
+
+```
+[
+ [
+ {
+ "plugin": "tapd",
+ "options": {
+ "createdDateAfter": "2006-01-02T15:04:05Z",
+ "workspaceId": 34***66,
+ "connectionId": 1
+ }
+ }
+ ]
+]
+```
+
+- `createdDateAfter`: The data range you wish to collect after the given date.
+- `connectionId`: The ID of your TAPD connection at page http://localhost:4000/connections/tapd.
+- `workspaceId`: TAPD workspace id, you can get it from two ways:
+ - url: 
+ - db: you can check workspace info from db.\_tool_tapd_workspaces and get all workspaceId you want to collect after execution of the following json in `advanced mode`
+ ```json
+ [
+ [
+ {
+ "plugin": "tapd",
+ "options": {
+ "companyId": 558***09,
+ "workspaceId": 1,
+ "connectionId": 1
+ },
+ "subtasks": ["collectCompanies", "extractCompanies"]
+ }
+ ]
+ ]
+ ```
+
+### 7. TAPD + GitLab
+
+Below is an example for collecting a TAPD workspace and a GitLab repo in parallel. It has a single stage with a TAPD task and a GitLab task.
+
+```
+[
+ [
+ {
+ "plugin": "tapd",
+ "options": {
+ "createdDateAfter": "2006-01-02T15:04:05Z",
+ "workspaceId": 6***14,
+ "connectionId": 1
+ }
+ }
+ ],
+ [
+ {
+ "Plugin":"gitlab",
+ "Options":{
+ "connectionId":1,
+ "projectId":116***98
+ }
+ }
+ ]
+]
+```
+
+### 8. Zentao
+
+Below is an example for collecting a Zentao workspace. Since users can configure multiple Zentao connection, it's required to pass in a `connectionId` for Zentao task to specify which connection to use.
+
+```
+[
+ [
+ {
+ plugin: 'zentao',
+ options: {
+ connectionId: 1,
+ productId: 1,
+ projectId: 1,
+ executionId: 1
+ }
+ }
+ ]
+]
+```
+
+- `connectionId`: The ID of your Zentao connection at page http://localhost:4000/connections/zentao.
+- `productId`: optional, ZENTAO product id, see "Find Product Id" for details.
+- `projectId`: optional, ZENTAO product id, see "Find Project Id" for details.
+- `executionId`: optional, ZENTAO product id, see "Find Execution Id" for details.
+
+You must choose at least one of `productId`, `projectId` and `executionId`.
+
+#### Find Product Id
+
+1. Navigate to the Zentao Product in the browser
+ 
+2. Click the red square annotated in the pic above
+ 
+3. Then the number in the red circle above is `ProductId`
+
+#### Find Project Id
+
+1. Navigate to the Zentao Project in the browser
+ 
+2. Then the number in the red square above is `ProjectId`
+
+#### Find Execution Id
+
+1. Navigate to the Zentao Execution in the browser
+ 
+2. Then the number in the red square above is `ExecutionId`
+
+### 9. BitBucket
+
+Below is an example for collecting a bitbucket repo.
+
+```json
+[
+ [
+ {
+ "plugin": "bitbucket",
+ "options": {
+ "connectionId": 1,
+ "owner": "apache",
+ "repo": "devlake"
+ }
+ }
+ ]
+]
+```
+
+- `connectionId`: The ID of your bitbucket connection at page http://localhost:4000/connections/bitbucket.
+- `owner`: the owner of the repository.
+- `repo`: the bitbucket repository name.
+
+### 10. SonarQube
+
+Below is an example for collecting a SonarQube project.
+
+```json
+[
+ [
+ {
+ "plugin": "sonarqube",
+ "options": {
+ "connectionId": 1,
+ "projectKey": "testDevLake"
+ }
+ }
+ ]
+]
+```
+
+- `connectionId`: The ID of your SonarQube connection at page http://localhost:4000/connections/sonarqube.
+- `projectKey`: The project key of the SonarQube. To find the project key in SonarQube, please follow the steps:
+ - 1. Log in to the SonarQube management page.
+ - 2. Find the project for which you want to find the project key.
+ - 3. Click on the project name to enter the project homepage.
+ - 4. In the top menu bar of the project homepage, select "Project Information".
+ - 5. On the "Project Information" page, you will see the project key.
+
+
+### 11. Teambition
+
+Below is an example for collecting a Teambition project. Since users can configure multiple Teambition connection, it's required to pass in a `connectionId` for Teambition task to specify which connection to use.
+
+```json
+[
+ [
+ {
+ "plugin": "teambition",
+ "options": {
+ "createdDateAfter": "2006-01-02T15:04:05Z",
+ "projectId": "5e5****376",
+ "connectionId": 1
+ }
+ }
+ ]
+]
+```
+
+- `connectionId`: The ID of your Teambition connection at page http://localhost:4000/connections/teambition.
+- `projectId`: Teambition project id, you can get it from url: 
+
+## Editing a Blueprint (Advanced Mode)
+
+This section is for editing a Blueprint in the Advanced Mode. To edit in the Normal mode, please refer to [this guide](Tutorial.md#editing-a-blueprint-normal-mode).
+
+To edit a Blueprint created in the Advanced mode, you can simply go the Configuration page of that Blueprint and edit its configuration.
+
+
+
+## Troubleshooting
+
+If you run into any problem, please check the [Troubleshooting](/Troubleshooting/Configuration.md) or [create an issue](https://github.com/apache/incubator-devlake/issues)
diff --git a/versioned_docs/version-v0.19/Configuration/AzureDevOps.md b/versioned_docs/version-v0.19/Configuration/AzureDevOps.md
new file mode 100644
index 0000000000..fc4a5a4eb0
--- /dev/null
+++ b/versioned_docs/version-v0.19/Configuration/AzureDevOps.md
@@ -0,0 +1,95 @@
+---
+title: "Azure DevOps"
+sidebar_position: 5
+description: Config UI instruction for Azure DevOps
+---
+
+Visit Config UI at: `http://localhost:4000`.
+
+## Step 1 - Add Data Connections
+
+On the Connections page, you can select GitHub and create a new connection or it.
+
+### Step 1.1 - Authentication
+
+
+
+#### Connection Name
+
+Give your connection a unique name to help you identify it in the future.
+
+#### Token
+
+Paste your Azure DevOps personal access token (PAT) here. You can click on "Learn about how to create a PAT" to get instructions on how to create a PAT.
+Make sure that the Organization field is set to "All accessible organizations" when creating the PAT.
+
+#### Test and Save Connection
+
+Click `Test Connection`, if the connection is successful, click `Save Connection` to add the connection.
+
+### Step 1.2 - Add Data Scopes
+
+
+
+#### Select repositories
+
+Select the repositories you want to collect data from.
+
+#### Data Entities
+
+Azure DevOps supports the following data entities.
+
+- CI/CD: builds and jobs.
+- Source Code Management: repositories and their commits.
+- Code Review: pull requests and their commits.
+
+
+### Step 1.3 - Add Scope Config (Optional)
+
+Scope config contains two parts:
+- The entities of which domain you wish to collect: Usually, you don't have to modify this part. However, if you don't want to collect certain Azure DevOps entities, you can unselect some entities to accelerate the collection speed.
+ - Source Code Management: Azure repos, refs, commits, etc.
+ - Code Review: Azure PRs, PR comments and reviews, etc.
+ - CI/CD: Azure pipelines, jobs, etc.
+ - Cross Domain: Azure accounts, etc.
+- The transformations on the Azure DevOps data you are going to collect.
+
+
+The transformations are mainly used for calculating [DORA metrics](../DORA.md), so DevLake needs to know what are `deployments` in your Azure Pipelines. You can configure:
+ - Regex for `Deployments`: Azure DevOps pipeline or one of its jobs whose names match this regex will be registered as deployments in DevLake
+ - Regex for `Production` environment: Azure DevOps pipeline or one of its jobs whose names match this regex will be considered as a PRODUCTION deployment.
+
+
+
+The additional settings for transformations are RefDiff options:
+- Tags Limit: the number of tags to compare.
+- Tags Pattern: Only tags that match the given regex are taken into account.
+
+## Step 2 - Collect Data in a Project
+### Step 2.1 - Create a Project
+Collecting Azure DevOps data requires creating a project first. You can visit the Project page from the side menu and create a new project by following the instructions on the user interface.
+
+
+
+### Step 2.2 - Add a Azure DevOps Connection
+You can add a previously configured GitLab connection to the project and select the boards for which you wish to collect the data for.
+Please note: if you don't see the repositories you are looking for, please check if you have added them to the connection first.
+
+
+
+### Step 2.3 - Set the Sync Policy
+There are three settings for Sync Policy:
+- Data Time Range: You can select the time range of the data you wish to collect. The default is set to the past six months.
+- Sync Frequency: You can choose how often you would like to sync your data in this step by selecting a sync frequency option or entering a cron code to specify your prefered schedule.
+- Skip Failed Tasks: sometime a few tasks may fail in a long pipeline; you can choose to skip them to avoid spending more time in running the pipeline all over again.
+
+
+
+### Step 2.4 - Start Data Collection
+Click on "Collect Data" to start collecting data for the whole project. You can check the status in the Status tab on the same page.
+
+
+
+## Troubleshooting
+
+If you run into any problem, please check the [Troubleshooting](/Troubleshooting/Configuration.md) or [create an issue](https://github.com/apache/incubator-devlake/issues)
diff --git a/versioned_docs/version-v0.19/Configuration/BitBucket.md b/versioned_docs/version-v0.19/Configuration/BitBucket.md
new file mode 100644
index 0000000000..9f5e0adea2
--- /dev/null
+++ b/versioned_docs/version-v0.19/Configuration/BitBucket.md
@@ -0,0 +1,148 @@
+---
+title: "BitBucket Cloud"
+sidebar_position: 2
+description: Config UI instruction for BitBucket(Cloud)
+---
+
+Visit Config UI at : `http://localhost:4000` and go to `Connections` page.
+
+## Step 1 - Add Data Connections
+
+
+
+### Connection Name
+
+Give your connection a unique name to help you identify it in the future.
+
+### Endpoint URL
+
+For BitBucket Cloud, you do not need to enter the REST API endpoint URL, which is always `https://api.bitbucket.org/2.0/`.
+
+DevLake will support BitBucket Server in the future.
+
+### Username and App Password
+
+Learn about [how to create a BitBucket app password](https://support.atlassian.com/bitbucket-cloud/docs/create-an-app-password/).
+
+The following permissions are required to collect data from BitBucket repositories:
+
+- Account:Read
+- Workspace membership:Read
+- Projects:Read
+- Repositories:Read
+- Pull requests:Read
+- Issues:Read
+- Pipelines:Read
+- Runners:Read
+
+
+
+
+### Proxy URL (Optional)
+
+If you are behind a corporate firewall or VPN you may need to utilize a proxy server. Enter a valid proxy server address on your network, e.g. `http://your-proxy-server.com:1080`
+
+
+### Fixed Rate Limit (Optional)
+
+DevLake uses a dynamic rate limit to collect BitBucket data. You can adjust the rate limit if you want to increase or lower the speed.
+
+The maximum rate limit for different entities in BitBucket(Cloud) [varies from 1,000 - 60,000 requests/hour](https://support.atlassian.com/bitbucket-cloud/docs/api-request-limits/). The rate limit to access repository data is 1,000 requests/hour, but we find it can still run when we input a value that exceeds 1,000. You can try using a larger rate limit if you have large repositories.
+
+<!--  -->
+
+
+### Test and Save Connection
+
+Click `Test Connection`, if the connection is successful, click `Save Connection` to add the connection.
+
+## Step 2 - Configure Blueprint
+
+
+
+### Repositories
+
+Select the BitBucket repositories to collect.
+
+### Data Entities
+
+Usually, you don't have to modify this part. However, if you don't want to collect certain BitBucket entities, you can unselect some entities to accelerate the collection speed.
+
+- Issue Tracking: BitBucket issues, issue comments, etc.
+- Source Code Management: BitBucket repos, refs, commits, etc.
+- Code Review: BitBucket PRs, PR comments, etc.
+- CI/CD: BitBucket Pipelines, BitBucket Deployments, etc.
+- Cross Domain: BitBucket accounts, etc.
+
+
+## Step 3 - Adding Transformation Rules (Optional)
+You can add a `transformation` to standardize the data. A `transformation` acts on the BitBucket data in the [tool layer](/docs/DataModels/ToolLayerSchema.md), transforming it to the [domain layer](/docs/DataModels/DevLakeDomainLayerSchema.md).
+
+### Issue Tracking
+
+**Issue Status Mapping**<br/>
+
+
+The given settings transformed the BitBucket issue statuses to the issue statuses used by DevLake, enabling you to measure metrics like the Issue Delivery Rate on the pre-built dashboards, as DevLake understands your definition of when an issue is considered as completed (status = 'DONE').
+
+- TODO: The issues that are planned but have not been worked on yet
+- IN-PROGRESS: The issues that are work-in-progress
+- DONE: The issues that are completed
+- OTHER: Other issues statuses that do not belong to the three statuses above
+
+The original status will be saved in the column `original_status` of the table 'issues', and the new status will be saved in the column `status` of the same table.
+
+**Issue Type Mapping**<br/>
+DevLake will convert the issue types of 'enhancement', 'proposal', and 'task' from BitBucket into the new issue type 'REQUIREMENT' for DevLake. In contrast, any issues classified as 'bug' in BitBucket will be converted into the new issue type 'BUG' for DevLake. The original type will be saved in the column `original_type` of the table 'issues', and the new type will be saved in the column `type` of the same table.
+
+### CI/CD
+The CI/CD configuration for BitBucket is used for calculating [DORA metrics](../DORA.md).
+
+By default, DevLake will identify the deployment and environment settings that are defined in the BitBucket CI .yml file.
+
+
+
+However, to ensure this works properly, you must specify the deployment settings in the .yml file.
+
+
+The pipeline steps with the `deployment` key will be recognized as DevLake deployments. The value of the `deployment` key will be recognized as the environment of DevLake deployments.
+
+All BitBucket pipeline steps will be saved in table 'cicd_tasks', but DevLake deployments will be set as `type` = 'deployment' and `environment` = '{BitBucket-pipeline-step.deployment.value}'.
+
+If you have not defined these settings in the .yml file, please select 'Detect Deployments from Pipeline steps in BitBucket', and input the RegEx in the following fields:
+
+
+
+- Deployment: A pipeline step with a name that matches the given RegEx will be recognized as a DevLake deployment.
+- Production: A pipeline step with a name that matches the given RegEx will be recognized as a DevLake cicd_task in the production environment.
+
+**Introduction to BitBucket CI entities**<br/>
+BitBucket has several key CI entities: `pipelines`, `pipeline steps`, and `deployments`. A Bitbucket pipeline contains several pipeline steps. Each pipeline step defined with a deployment key can be mapped to a BitBucket deployment.
+
+Each Bitbucket pipeline is converted to a cicd_pipeline in DevLake's domain layer schema and each Bitbucket pipeline step is converted to a cicd_task in DevLake's domain layer.
+
+
+If a pipeline step defines `deployment` with a value (usually indicating the environment), this pipeline step is also a BitBucket deployment.
+
+
+
+### Additional Settings (Optional)
+
+- Tags Limit: DevLake compares the last N pairs of tags to get the "commit diff', "issue diff" between tags. N defaults to 10.
+
+ - commit diff: new commits for a tag relative to the previous one
+ - issue diff: issues solved by the new commits for a tag relative to the previous one
+
+- Tags Pattern: Only tags that meet the given Regular Expression will be counted.
+
+- Tags Order: Only "reverse semver" order is supported for now.
+
+Please click `Save` to save the transformation rules for the repo. In the data scope list, click `Next Step` to continue configuring.
+
+## Step 4 - Setting Sync Policy
+
+You can choose how often you would like to sync your data in this step by selecting a sync frequency option or entering a cron code to specify your prefered schedule.
+
+## Troubleshooting
+
+If you run into any problems, please check the [Troubleshooting](/Troubleshooting/Configuration.md) or [create an issue](https://github.com/apache/incubator-devlake/issues).
diff --git a/versioned_docs/version-v0.19/Configuration/Dashboards/AccessControl.md b/versioned_docs/version-v0.19/Configuration/Dashboards/AccessControl.md
new file mode 100644
index 0000000000..500fd0d385
--- /dev/null
+++ b/versioned_docs/version-v0.19/Configuration/Dashboards/AccessControl.md
@@ -0,0 +1,44 @@
+---
+title: "Dashboard Access Control"
+sidebar_position: 2
+description: >
+ Dashboard Access Control
+---
+
+
+# Dashboard Access Control
+
+This tutorial shows how to leverage Grafana's role-based access control (RBAC) to manage what dashboards a user has access to. If you're setting up a single DevLake instance to be shared by multiple teams in your organization, this tutorial can help you achieve data segregation between teams.
+
+## Example solution: one folder for each team
+
+One of the simplest solutions is to create one Grafana folder for each team and assign permissions to teams at the folder level. Below is a step-by-step walk through.
+
+1. Sign in as Grafana admin and create a new folder
+
+
+
+2. Click "Permissions" tab and remove the default access of "Editor (Role)" and "Viewer (Role)"
+
+
+
+After removing default permissions:
+
+
+
+
+3. Add "View" permission to the target team (you'll need to create this team in Grafana first)
+
+
+
+4. Copy/move dashboards into this folder (you may need to edit the dashboard so that it only shows data belongs to this team)
+
+## Reference
+
+1. [Manage dashboard permissions by Grafana](https://grafana.com/docs/grafana/latest/administration/user-management/manage-dashboard-permissions/#grant-dashboard-folder-permissions)
+
+
+
+
+
+
diff --git a/versioned_docs/version-v0.19/Configuration/Dashboards/GrafanaUserGuide.md b/versioned_docs/version-v0.19/Configuration/Dashboards/GrafanaUserGuide.md
new file mode 100644
index 0000000000..127db67e6a
--- /dev/null
+++ b/versioned_docs/version-v0.19/Configuration/Dashboards/GrafanaUserGuide.md
@@ -0,0 +1,135 @@
+---
+title: "Grafana User Guide"
+sidebar_position: 2
+description: >
+ Grafana User Guide
+---
+
+
+# Grafana
+
+<img src="https://user-images.githubusercontent.com/3789273/128533901-3107e9bf-c3e3-4320-ba47-879fe2b0ea4d.png" width="450px" />
+
+When first visiting Grafana, you will be provided with a sample dashboard with some basic charts setup from the database.
+
+## Contents
+
+Section | Link
+:------------ | :-------------
+Logging In | [View Section](#logging-in)
+Viewing All Dashboards | [View Section](#viewing-all-dashboards)
+Customizing a Dashboard | [View Section](#customizing-a-dashboard)
+Dashboard Settings | [View Section](#dashboard-settings)
+Provisioning a Dashboard | [View Section](#provisioning-a-dashboard)
+Troubleshooting DB Connection | [View Section](#troubleshooting-db-connection)
+
+## Logging In<a id="logging-in"></a>
+
+Once the app is up and running, visit `http://localhost:3002` to view the Grafana dashboard.
+
+Default login credentials are:
+
+- Username: `admin`
+- Password: `admin`
+
+## Viewing All Dashboards<a id="viewing-all-dashboards"></a>
+
+To see all dashboards created in Grafana visit `/dashboards`
+
+Or, use the sidebar and click on **Manage**:
+
+
+
+## Importing a Dashboard<a id="importing-a-dashboard"></a>
+If you want to import a dashboard to Grafana which you have backed up earlier, please follow the steps below:
+
+1. Click the `Import` icon
+2. Click the `Upload JSON file` button
+3. If the dashboard conflicts with an existing one, please change the `Name` and `uid`
+4. Click `Import`
+
+
+
+
+## Customizing a Dashboard<a id="customizing-a-dashboard"></a>
+
+When viewing a dashboard, click the top bar of a panel, and go to **edit**
+
+
+
+**Edit Dashboard Panel Page:**
+
+
+
+### 1. Preview Area
+- **Top Left** is the variable select area (custom dashboard variables, used for switching projects, or grouping data)
+- **Top Right** we have a toolbar with some buttons related to the display of the data:
+ - View data results in a table
+ - Time range selector
+ - Refresh data button
+- **The Main Area** will display the chart and should update in real time
+
+> Note: Data should refresh automatically, but may require a refresh using the button in some cases
+
+### 2. Query Builder
+Here we form the SQL query to pull data into our chart, from our database
+- Ensure the **Data Source** is the correct database
+
+ 
+
+- Select **Format as Table**, and **Edit SQL** buttons to write/edit queries as SQL
+
+ 
+
+- The **Main Area** is where the queries are written, and in the top right is the **Query Inspector** button (to inspect returned data)
+
+ 
+
+### 3. Main Panel Toolbar
+In the top right of the window are buttons for:
+- Dashboard settings (regarding entire dashboard)
+- Save/apply changes (to specific panel)
+
+### 4. Grafana Parameter Sidebar
+- Change chart style (bar/line/pie chart etc)
+- Edit legends, chart parameters
+- Modify chart styling
+- Other Grafana specific settings
+
+## Dashboard Settings<a id="dashboard-settings"></a>
+
+When viewing a dashboard click on the settings icon to view dashboard settings. Here are 2 important sections to use:
+
+
+
+- Variables
+ - Create variables to use throughout the dashboard panels, that are also built on SQL queries
+
+ 
+
+- JSON Model
+ - Copy `json` code here and save it to a new file in `/grafana/dashboards/` with a unique name in the `lake` repo. This will allow us to persist dashboards when we load the app
+
+ 
+
+## Provisioning a Dashboard<a id="provisioning-a-dashboard"></a>
+
+To save a dashboard in the `lake` repo and load it:
+
+1. Create a dashboard in browser (visit `/dashboard/new`, or use sidebar)
+2. Save dashboard (in top right of screen)
+3. Go to dashboard settings (in top right of screen)
+4. Click on _JSON Model_ in sidebar
+5. Copy code into a new `.json` file in `/grafana/dashboards`
+
+## Troubleshooting DB Connection<a id="troubleshooting-db-connection"></a>
+
+To ensure we have properly connected our database to the data source in Grafana, check database settings in `./grafana/datasources/datasource.yml`, specifically:
+- `database`
+- `user`
+- `secureJsonData/password`
+
+
+## Troubleshooting
+
+If you run into any problem, please check the [Troubleshooting](/Troubleshooting/Dashboard.md) or [create an issue](https://github.com/apache/incubator-devlake/issues)
diff --git a/versioned_docs/version-v0.19/Configuration/Dashboards/_category_.json b/versioned_docs/version-v0.19/Configuration/Dashboards/_category_.json
new file mode 100644
index 0000000000..37da75a8c7
--- /dev/null
+++ b/versioned_docs/version-v0.19/Configuration/Dashboards/_category_.json
@@ -0,0 +1,4 @@
+{
+ "label": "Dashboard Configuration",
+ "position": 10
+}
diff --git a/versioned_docs/version-v0.19/Configuration/GitHub.md b/versioned_docs/version-v0.19/Configuration/GitHub.md
new file mode 100644
index 0000000000..cfe3b1f39a
--- /dev/null
+++ b/versioned_docs/version-v0.19/Configuration/GitHub.md
@@ -0,0 +1,194 @@
+---
+title: "GitHub"
+sidebar_position: 2
+description: Config UI instruction for GitHub
+---
+
+Visit Config UI at: `http://localhost:4000`.
+
+## Step 1 - Add Data Connections
+
+On the Connections page, you can select GitHub and create a new connection or it.
+
+### Step 1.1 - Authentication
+
+
+#### Connection Name
+
+Give your connection a unique name to help you identify it in the future.
+
+#### Endpoint URL
+
+This should be a valid REST API endpoint, eg. `https://api.github.com/`. The URL should end with `/`.
+
+#### Personal Access Token(s)
+
+You can use one of the following GitHub tokens: personal access tokens(PATs) or fine-grained personal access tokens.
+
+##### GitHub Personal Access Tokens(Recommended)
+
+> Prerequisites: please make sure your organization has enabled Personal Access Token before configuration. See the [detailed doc](https://docs.github.com/en/organizations/managing-programmatic-access-to-your-organization/setting-a-personal-access-token-policy-for-your-organization).
+
+Learn about [how to create a GitHub personal access token](https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/creating-a-personal-access-token). The following permissions are required to collect data from repositories:
+
+- `repo:status`
+- `repo_deployment`
+- `read:user`
+- `read:org`
+
+However, if you want to collect data from private repositories, the following permissions are required:
+
+- `repo`
+- `read:user`
+- `read:org`
+
+The difference is that you have to give full permission for `repos`, not just `repo:status` and `repo_deployment`. Starting from v0.18.0, DevLake provides the auto-check for the permissions of your token(s).
+
+The data collection speed is restricted by the **rate limit of [5,000 requests](https://docs.github.com/en/rest/overview/resources-in-the-rest-api#rate-limiting) per hour per token** (15,000 requests/hour if you pay for GitHub enterprise). You can accelerate data collection by configuring _multiple_ personal access tokens. Please note that multiple tokens should be created by different GitHub accounts. Tokens belonging to the same GitHub account share the rate limit.
+
+##### Fine-grained Personal Access Tokens
+
+Note: this token doesn't support GraphQL APIs. You have to disable `Use GraphQL APIs` on the connection page if you want to use it. However, this will significantly increase the data collection time.
+
+If you're concerned with giving classic PATs full unrestricted access to your repositories, you can use fine-grained PATs announced by GitHub recently. With fine-grained PATs, GitHub users can create read-only PATs that only have access to repositories under certain GitHub orgs. But in order to do that, org admin needs to enroll that org with fine-grained PATs beta feature first. Please check [this doc](https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/creati [...]
+The token should be granted read-only permission for the following entities.
+ - `Actions`
+ - `Contents`
+ - `Discussions`
+ - `Issues`
+ - `Metadata`
+ - `Pull requests`
+
+#### Use Graphql APIs
+
+If you are using `github.com` or your on-premise GitHub version supports GraphQL APIs, toggle on this setting to collect data quicker.
+
+- GraphQL APIs are 10+ times faster than REST APIs, but they may not be supported in GitHub on-premise versions.
+- Instead of using multiple tokens to collect data, you can use ONLY ONE token because GraphQL APIs are quick enough.
+
+#### Proxy URL (Optional)
+
+If you are behind a corporate firewall or VPN you may need to utilize a proxy server. Enter a valid proxy server address on your network, e.g. `http://your-proxy-server.com:1080`
+
+#### Fixed Rate Limit (Optional)
+
+DevLake uses a dynamic rate limit to collect GitHub data. You can adjust the rate limit if you want to increase or lower the speed.
+
+The maximum rate limit for GitHub is ** [5,000 requests/hour](https://docs.github.com/en/rest/overview/resources-in-the-rest-api#rate-limiting)** (15,000 requests/hour if you pay for GitHub enterprise). Please do not use a rate that exceeds this number.
+
+#### Test and Save Connection
+
+Click `Test Connection`, if the connection is successful, click `Save Connection` to add the connection.
+
+### Step 1.2 - Add Data Scopes
+
+#### Repositories
+
+Choose the GitHub repositories you wish to collect either by finding them in the miller column, or searching. You can only add public repositories through the search box.
+
+
+
+
+
+### Step 1.3 - Add Scope Config (Optional)
+Scope config contains two parts:
+- The entities of which domain you wish to collect: Usually, you don't have to modify this part. However, if you don't want to collect certain GitHub entities, you can unselect some entities to accerlerate the collection speed.
+ - Issue Tracking: GitHub issues, issue comments, issue labels, etc.
+ - Source Code Management: GitHub repos, refs, commits, etc.
+ - Code Review: GitHub PRs, PR comments and reviews, etc.
+ - CI/CD: GitHub Workflow runs, GitHub Workflow jobs, etc.
+ - Cross Domain: GitHub accounts, etc.
+- The transformations on the GitHub data you are going to collect.
+ - The details of the transformations will be exlained below.
+ - Without adding transformation rules, you can still view the "[GitHub Metrics](/livedemo/DataSources/GitHub)" dashboard. However, if you want to view "[Weekly Bug Retro](/livedemo/QAEngineers/WeeklyBugRetro)", "[Weekly Community Retro](/livedemo/OSSMaintainers/WeeklyCommunityRetro)" or other pre-built dashboards, the following transformation rules, especially "Type/Bug", should be added.
+ - Each GitHub repo has at most ONE set of transformations.
+
+
+
+
+#### Issue Tracking
+
+- Severity: Parse the value of `severity` from issue labels.
+
+ - when your issue labels for severity level are like 'severity/p0', 'severity/p1', 'severity/p2', then input 'severity/(.\*)$'
+ - when your issue labels for severity level are like 'p0', 'p1', 'p2', then input '(p0|p1|p2)$'
+
+- Component: Same as "Severity".
+
+- Priority: Same as "Severity".
+
+- Type/Requirement: The `type` of issues with labels that match given regular expression will be set to "REQUIREMENT". Unlike "PR.type", submatch does nothing, because for issue management analysis, users tend to focus on 3 kinds of types (Requirement/Bug/Incident), however, the concrete naming varies from repo to repo, time to time, so we decided to standardize them to help analysts metrics.
+
+- Type/Bug: Same as "Type/Requirement", with `type` setting to "BUG".
+
+- Type/Incident: Same as "Type/Requirement", with `type` setting to "INCIDENT".
+
+#### CI/CD
+
+This set of configurations is used for calculating [DORA metrics](../DORA.md).
+
+If you're using GitHub Action to conduct `deployments`, please select "Detect Deployment from Jobs in GitHub Action", and input the RegEx in the following fields:
+
+- Deployment: A GitHub Action job with a name that matches the given regEx will be considered as a deployment.
+- Production: A GitHub Action job with a name that matches the given regEx will be considered a job in the production environment.
+
+A GitHub workflow run has many jobs. Each GitHub workflow run is converted to a
+cicd_pipeline in the domain layer and each GitHub Action job is converted to a cicd_task in the domain layer.
+
+
+
+The deployment and production regex is always applied to the records in the cicd_tasks table.
+
+You can also select "Not using Jobs in GitHub Action as Deployments" if you're not using GitHub action to conduct deployments.
+
+#### Code Review
+
+- Type: The `type` of pull requests will be parsed from PR labels by given regular expression. For example:
+
+ - when your labels for PR types are like 'type/feature-development', 'type/bug-fixing' and 'type/docs', please input 'type/(.\*)$'
+ - when your labels for PR types are like 'feature-development', 'bug-fixing' and 'docs', please input '(feature-development|bug-fixing|docs)$'
+
+- Component: The `component` of pull requests will be parsed from PR labels by given regular expression.
+
+#### Additional Settings (Optional)
+
+- Tags Limit: It'll compare the last N pairs of tags to get the "commit diff', "issue diff" between tags. N defaults to 10.
+
+ - commit diff: new commits for a tag relative to the previous one
+ - issue diff: issues solved by the new commits for a tag relative to the previous one
+
+- Tags Pattern: Only tags that meet given regular expression will be counted.
+
+- Tags Order: Only "reverse semver" order is supported for now.
+
+Please click `Save` to save the transformation rules for the repo. In the data scope list, click `Next Step` to continue configuring.
+
+
+## Step 2 - Collect Data in a Project
+### Step 2.1 - Create a Project
+Collecing GitHub data reuiqres creating a project first. You can visit the Project page from the side menu and create a new project by following the instructions on the user interface.
+
+
+
+### Step 2.2 - Add a GitHub Connection
+You can add a previously configured GitHub connection to the project and select the boards for which you wish to collect the data for.
+Please note: if you don't see the repositories you are looking for, please check if you have added them to the connection first.
+
+
+
+### Step 2.3 - Set the Sync Policy
+There are three settings for Sync Policy:
+- Data Time Range: You can select the time range of the data you wish to collect. The default is set to the past six months.
+- Sync Frequency: You can choose how often you would like to sync your data in this step by selecting a sync frequency option or enter a cron code to specify your prefered schedule.
+- Skip Failed Tasks: sometime a few tasks may fail in a long pipeline; you can choose to skip them to avoid spending more time in running the pipeline all over again.
+
+
+
+### Step 2.4 - Start Data Collection
+Click on "Collect Data" to start collecting data for the whole project. You can check the status in the Status tab on the same page.
+
+
+
+## Troubleshooting
+
+If you run into any problem, please check the [Troubleshooting](/Troubleshooting/Configuration.md) or [create an issue](https://github.com/apache/incubator-devlake/issues)
diff --git a/versioned_docs/version-v0.19/Configuration/GitLab.md b/versioned_docs/version-v0.19/Configuration/GitLab.md
new file mode 100644
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+---
+title: "GitLab"
+sidebar_position: 3
+description: Config UI instruction for GitLab
+---
+
+Visit Config UI: `http://localhost:4000`.
+
+## Step 1 - Add Data Connections
+
+On the Connections page, you can select GitHub and create a new connection or it.
+
+### Step 1.1 - Authentication
+
+
+
+#### Connection Name
+
+Give your connection a unique name to help you identify it in the future.
+
+#### GitLab Version
+
+Select if you use GitLab Cloud or GitLab Server (v11+).
+
+#### Endpoint URL
+
+This should be a valid REST API endpoint.
+
+- If you use GitLab cloud, you do not need to enter the endpoint, which is always `https://gitlab.com/api/v4/`.
+- If you GitLab Server (v11+), the endpoint will look like `https://gitlab.example.com/api/v4/`.
+ Please note: the endpoint URL should end with `/`.
+
+#### Personal Access Token
+
+Your GitLab personal access token (PAT) is required to add a connection. Learn about [how to create a GitLab personal access token](https://docs.gitlab.com/ee/user/profile/personal_access_tokens.html).
+
+##### Personal Access Token Permissions
+
+At least one of the following permissions is required to collect data from repositories:
+
+- `api`
+- `read_api`
+
+You also have to double-check your GitLab user permission settings.
+
+1. Go to the Project information -> Members page of the GitLab projects you wish to collect.
+2. Check your role in this project from the Max role column. Make sure you are not the Guest role, otherwise, you will not be able to collect data from this project.
+
+#### Proxy URL (Optional)
+
+If you are behind a corporate firewall or VPN you may need to utilize a proxy server. Enter a valid proxy server address on your network, e.g. `http://your-proxy-server.com:1080`
+
+#### Fixed Rate Limit (Optional)
+
+DevLake uses a dynamic rate limit at around 12,000 requests/hour to collect GitLab data. You can adjust the rate limit if you want to increase or lower the speed.
+
+The maximum rate limit for GitLab Cloud is ** [120,000 requests/hour](https://docs.gitlab.com/ee/user/gitlab_com/index.html#gitlabcom-specific-rate-limits)**. Tokens under the same IP address share the rate limit, so the actual rate limit for your token will be lower than this number.
+
+For self-managed GitLab rate limiting, please contact your GitLab admin to [get or set the maximum rate limit](https://repository.prace-ri.eu/git/help/security/rate_limits.md) of your GitLab instance. Please do not use a rate that exceeds this number.
+
+#### Test and Save Connection
+
+Click `Test Connection`, if the connection is successful, click `Save Connection` to add the connection.
+
+### Step 1.2 - Add Data Scopes
+
+#### Repositories
+
+
+
+
+Select the GitLab repositories you want to collect from the miller column. **Please note that repositories with guest permissions or those that are archived have already been excluded.** You can also use the search function to find them. Limited by the GitLab API, You need to type more than 2 characters to search. The repositories only with guest permissions are not shown in the list.
+
+
+### Step 1.3 - Add Scope Config (Optional)
+Scope config contains two parts:
+- The entities of which domain you wish to collect: Usually, you don't have to modify this part. However, if you don't want to collect certain GitLab entities, you can unselect some entities to accelerate the collection speed.
+ - Issue Tracking: GitLab issues, issue comments, issue labels, etc.
+ - Source Code Management: GitLab repos, refs, commits, etc.
+ - Code Review: GitLab MRs, MR comments and reviews, etc.
+ - CI/CD: GitLab pipelines, jobs, etc.
+ - Cross Domain: GitLab accounts, etc.
+- The transformations on the GitLab data you are going to collect.
+ - The details of the transformations will be explained below.
+ - Without adding transformation rules, you can still view some of the dashboards.
+ - Each GitLab repo has at most ONE set of transformations.
+
+
+
+
+#### CI/CD
+
+This set of configurations is used for calculating [DORA metrics](../DORA.md).
+
+If you're using GitLab CI to conduct `deployments`, please select "Detect Deployment from Jobs in GitLab CI", and input the RegEx in the following fields:
+
+- Deployment: The name of the GitLab pipeline or one of its jobs matches the given regEx will be considered as a deployment.
+- Production: If the name also matches the PRODUCTION regEx, the deployment will be considered a PRODUCTION deployment.
+
+By the above two fields, DevLake can identify a production deployment among massive GitLab CI pipelines.
+
+
+## Step 2 - Collect Data in a Project
+### Step 2.1 - Create a Project
+Collecting GitLab data requires creating a project first. You can visit the Project page from the side menu and create a new project by following the instructions on the user interface.
+
+
+
+### Step 2.2 - Add a GitLab Connection
+You can add a previously configured GitLab connection to the project and select the boards for which you wish to collect the data for.
+Please note: if you don't see the repositories you are looking for, please check if you have added them to the connection first.
+
+
+
+### Step 2.3 - Set the Sync Policy
+There are three settings for Sync Policy:
+- Data Time Range: You can select the time range of the data you wish to collect. The default is set to the past six months.
+- Sync Frequency: You can choose how often you would like to sync your data in this step by selecting a sync frequency option or entering a cron code to specify your prefered schedule.
+- Skip Failed Tasks: sometime a few tasks may fail in a long pipeline; you can choose to skip them to avoid spending more time in running the pipeline all over again.
+
+
+
+### Step 2.4 - Start Data Collection
+Click on "Collect Data" to start collecting data for the whole project. You can check the status in the Status tab on the same page.
+
+
+## Troubleshooting
+
+If you run into any problem, please check the [Troubleshooting](/Troubleshooting/Configuration.md) or [create an issue](https://github.com/apache/incubator-devlake/issues)
diff --git a/versioned_docs/version-v0.19/Configuration/Jenkins.md b/versioned_docs/version-v0.19/Configuration/Jenkins.md
new file mode 100644
index 0000000000..a6476eb9ba
--- /dev/null
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+---
+title: "Jenkins"
+sidebar_position: 5
+description: Config UI instruction for Jenkins
+---
+
+Visit Config UI at: `http://localhost:4000`.
+
+## Step 1 - Add Data Connections
+
+
+
+### Connection Name
+
+Give your connection a unique name to help you identify it in the future.
+
+### Endpoint URL
+
+This should be a valid REST API endpoint. Eg. `https://ci.jenkins.io/`. The endpoint url should end with `/`.
+
+### Username (E-mail)
+
+Your User ID for the Jenkins Instance.
+
+### Password
+
+For help on Username and Password, please see Jenkins docs on [using credentials](https://www.jenkins.io/doc/book/using/using-credentials/). You can also use "API Access Token" for this field, which can be generated at `User` -> `Configure` -> `API Token` section on Jenkins.
+
+### Fixed Rate Limit (Optional)
+
+DevLake uses a dynamic rate limit to collect Jenkins data. You can adjust the rate limit if you want to increase or lower the speed.
+
+There is no doc about Jenkins rate limiting. Please create an issue if you find related information.
+
+### Test and Save Connection
+
+Click `Test Connection`, if the connection is successful, click `Save Connection` to add the connection.
+
+## Step 2 - Setting Data Scope
+
+
+
+### Jobs
+
+Choose the Jenkins jobs. All `Jenkins builds` under these jobs will be collected.
+
+### Data Entities
+
+Jenkins only supports `CI/CD` domain entities, transformed from Jenkins builds and stages.
+
+- CI/CD: Jenkins builds, stages, etc.
+
+## Step 3 - Adding Transformation Rules (Optional)
+
+
+
+
+This set of configurations is used for calculating [DORA metrics](../DORA.md).
+
+If you'd like to define `deployments` with Jenkins, please select "Detect Deployment from Jenkins Builds", and provide the following regexes
+
+- Deployment: Jenkins stages whose names match the regex will be registered as deployments (if a Jenkins build has no stage, its job name will be used to match the regex)
+- Production: Jenkins stages whose names match the regex will be assigned environment 'PRODUCTION' (if a Jenkins build has no stage, its job name will be used to match the regex)
+
+This is how it works behind the scene:
+
+- If a Jenkins build has stages, it's converted to a cicd_pipeline and its stages are converted to cicd_tasks in DevLake's domain layer schema.
+- If a Jenkins build has no stage, it's converted to both a cicd_pipeline and a cicd_task whose names are the build's jobName.
+
+After the conversion, the two regexes are applied to the records in the cicd_tasks table.
+
+
+You can also select "Not using Jenkins builds as Deployments" if you're not using Jenkins to conduct deployments.
+
+## Step 4 - Setting Sync Policy
+
+You can choose how often you would like to sync your data in this step by selecting a sync frequency option or enter a cron code to specify your prefered schedule.
+
+## Troubleshooting
+
+If you run into any problem, please check the [Troubleshooting](/Troubleshooting/Configuration.md) or [create an issue](https://github.com/apache/incubator-devlake/issues)
diff --git a/versioned_docs/version-v0.19/Configuration/Jira.md b/versioned_docs/version-v0.19/Configuration/Jira.md
new file mode 100644
index 0000000000..6e61c9f3a0
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+---
+title: "Jira"
+sidebar_position: 4
+description: Config UI instruction for Jira
+---
+
+Visit Config UI at: `http://localhost:4000`.
+
+## Step 1 - Add Data Connections
+
+On the Connections page, you can select Jira and create a new connection or it.
+
+### Stept 1.1 - Authentication
+
+
+
+#### Connection Name
+
+Give your connection a unique name to help you identify it in the future.
+
+Please note: the following configuration for the endpoint and authentication for your Jira connection depends on your Jira version, Jira Cloud or Server/Data Center.
+
+#### Jira Cloud
+##### Endpoint URL
+This should be a valid REST API endpoint: `https://<mydomain>.atlassian.net/rest/`
+
+Please note: the endpoint url should end with `/`.
+
+##### E-mail
+Please enter the e-mail of your Jira account.
+
+##### API Token
+Learn about [how to create an API token](https://support.atlassian.com/atlassian-account/docs/manage-api-tokens-for-your-atlassian-account/).
+
+Please note: Jira API token and Personal Access Token are two different tokens.
+
+#### Jira Server/Data Center
+##### Endpoint URL
+This should be a valid REST API endpoint: `https://jira.<mydomain>.com/rest/`
+
+Please note: the endpoint url should end with `/`.
+
+##### Authentication Method
+Jira Server supports two ways of authentication: using basic authentication or Personal Access Token.
+
+##### Username
+Please enter the username of your Jira account.
+
+##### Password
+Please enter the password of your Jira account.
+
+##### Personal Access Token
+Learn about [how to create a Personal Access Token](https://confluence.atlassian.com/enterprise/using-personal-access-tokens-1026032365.html).
+
+#### Token Permissions
+For both Jira Cloud and Jira Server, when accessing Jira API, users may encounter access restrictions if their token does not have sufficient permissions. This is typically caused by insufficient scope or role settings for the Jira token.
+
+To solve this issue, users can take the following steps:
+
+- Checking User Permissions
+
+Users can confirm whether they have sufficient permissions by checking their permissions in Jira. For Cloud users, they can view their global and project permissions through the "Permissions" tab on the "Profile" page. For Server users, they can log in to Jira as an administrator and view user permissions on the "User Management" page.
+
+- Ensuring Sufficient Permissions
+
+Before using the Jira API, users need to ensure that their account has at least the necessary project or global permissions. Global permissions include various Jira system settings and management operations, while project permissions control specific operations and configurations for each Jira project. Users can assign roles such as `Project Administrator`, `Project Lead`, `Developer`, etc. for the corresponding projects, or assign global permissions such as `Jira Administrators`, `Jira [...]
+
+- Solving Access Restrictions
+
+To solve access restrictions caused by insufficient Jira token permissions, users should check the token's permission settings to ensure the correct scope and role are set. If the permission settings are correct but the required API is still inaccessible, consider using other authentication methods, such as authenticating with a username and password. If the issue persists, contact the Jira administrator for further assistance.
+
+#### Proxy URL (Optional)
+
+If you are behind a corporate firewall or VPN you may need to utilize a proxy server. Enter a valid proxy server address on your network, e.g. `http://your-proxy-server.com:1080`
+
+##### Fixed Rate Limit (Optional)
+
+DevLake uses a dynamic rate limit to collect Jira data. You can adjust the rate limit if you want to increase or lower the speed. If you encounter a 403 error during data collection, please lower the rate limit.
+
+Jira(Cloud) uses a dynamic rate limit and has no clear rate limit. For Jira Server's rate limiting, please contact your Jira Server admin to [get or set the maximum rate limit](https://repository.prace-ri.eu/git/help/security/rate_limits.md) of your Jira instance. Please do not use a rate that exceeds this number.
+
+#### Test and Save Connection
+
+Click `Test Connection`, if the connection is successful, click `Save Connection` to add the connection.
+
+### Step 1.2 - Add Data Scopes
+
+#### Boards
+
+Choose the Jira boards to collect.
+
+
+
+
+### Step 1.3 - Add Scope Config (Optional)
+Scope config contains two parts:
+- The entities of which domain you wish to collect: Usually, you don't have to modify this part. However, if you don't want to collect certain Jira entities, you can unselect some entities to accelerate the collection speed.
+ - Issue Tracking: Jira issues, issue comments, issue labels, etc.
+ - Cross Domain: Jira accounts, etc.
+- The transformations on the Jira data you are going to collect
+ - Issue Type: Standardize the issue types to DevLake's pre-defined three issue types: REQUIREMENT, BUG, and INCIDENT.
+ - Story Points: Map the custom field that represents story_point in your Jira to DevLake's issue story point.
+ - Cross-domain: Get the commit(s) associated with Jira issues from Jira issues' remote links or development panels.
+
+Although this configuration is optional, some of the above transformations are required to measure metrics such as [Requirement Lead Time](https://devlake.apache.org/docs/Metrics/RequirementLeadTime), [Bug Age](https://devlake.apache.org/docs/Metrics/BugAge) or [DORA - Median Time to Restore Service](https://devlake.apache.org/docs/Metrics/MTTR) in the built-in Grafana dashboards.
+
+Without adding transformation rules, you can not view all charts in "Jira" or "Engineering Throughput and Cycle Time" dashboards.<br/>
+
+Each Jira board has at most ONE set of transformations.
+
+
+
+
+
+
+
+
+#### Issue Tracking
+
+- Requirement: choose the issue types to be transformed to "REQUIREMENT".
+- Bug: choose the issue types to be transformed to "BUG".
+- Incident: choose the issue types to be transformed to "INCIDENT".
+- Epic Key: choose the custom field that represents Epic key. In most cases, it is "Epic Link".
+- Story Point: choose the custom field that represents story points. In most cases, it is "Story Points".
+
+#### Additional Settings
+
+- Remotelink Commit SHA: parse the commits from an issue's remote links by the given regular expression so that the relationship between `issues` and `commits` can be created. You can directly use the regular expression `/commit/([0-9a-f]{40})$`.
+
+## Step 2 - Collect Data in a Project
+### Step 2.1 - Create a Project
+Collecing Jira data reuiqres creating a project first. You can visit the Project page from the side menu and create a new project by following the instructions on the user interface.
+
+
+
+### Step 2.2 - Add a Jira Connection
+You can add a previously configured Jira connection to the project and select the boards for which you wish to collect the data for.
+Please note: if you don't see the boards you are looking for, please check if you have added them to the connection first.
+
+
+
+### Step 2.3 - Set the Sync Policy
+There are three settings for Sync Policy:
+- Data Time Range: You can select the time range of the data you wish to collect. The default is set to the past six months.
+- Sync Frequency: You can choose how often you would like to sync your data in this step by selecting a sync frequency option or enter a cron code to specify your prefered schedule.
+- Skip Failed Tasks: sometime a few tasks may fail in a long pipeline; you can choose to skip them to avoid spending more time in running the pipeline all over again.
+
+
+
+### Step 2.4 - Start Data Collection
+Click on "Collect Data" to start collecting data for the whole project. You can check the status in the Status tab on the same page.
+
+
+
+## Troubleshooting
+
+If you run into any problem, please check the [Troubleshooting](/Troubleshooting/Configuration.md) or [create an issue](https://github.com/apache/incubator-devlake/issues)
diff --git a/versioned_docs/version-v0.19/Configuration/PagerDuty.md b/versioned_docs/version-v0.19/Configuration/PagerDuty.md
new file mode 100644
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--- /dev/null
+++ b/versioned_docs/version-v0.19/Configuration/PagerDuty.md
@@ -0,0 +1,57 @@
+---
+title: "PagerDuty"
+sidebar_position: 4
+description: Config UI instruction for PagerDuty
+---
+
+Visit Config UI at: `http://localhost:4000`.
+
+## Step 1 - Add Data Connections
+
+
+
+### Connection Name
+
+Give your connection a unique name to help you identify it in the future.
+
+### Token
+
+Paste your PagerDuty personal access token (PAT) here. You may make it a Read-Only token for the plugin's purposes.
+
+### Test and Save Connection
+
+Click `Test Connection`, if the connection is successful, click `Save Connection` to add the connection.
+
+## Step 1 - Add Data Connection
+
+Create a project for PagerDuty by adding the connection created above to it.
+
+
+
+## Step 2 - Setting Data Scope
+
+### Select services
+
+Select the services you want to collect data from.
+
+
+
+### Data Entities
+
+PagerDuty supports the following data entities.
+
+- Issue Tracking: These map to PagerDuty incidents.
+
+## Step 3 - Adding Transformation Rules (Optional)
+
+Currently, this plugin does not support transformation rules, so skip this page by clicking `Next Step`.
+
+## Step 4 - Set Sync Policy
+
+Set the sync policy as you see fit. Note that PagerDuty can only collect data from up to 6 months prior to the present time.
+
+
+
+## Troubleshooting
+
+If you run into any problem, please check the [Troubleshooting](/Troubleshooting/Configuration.md) or [create an issue](https://github.com/apache/incubator-devlake/issues)
diff --git a/versioned_docs/version-v0.19/Configuration/SonarQube.md b/versioned_docs/version-v0.19/Configuration/SonarQube.md
new file mode 100644
index 0000000000..122a477766
--- /dev/null
+++ b/versioned_docs/version-v0.19/Configuration/SonarQube.md
@@ -0,0 +1,65 @@
+---
+title: "SonarQube"
+sidebar_position: 7
+description: Config UI instruction for SonarQube
+---
+
+Visit Config UI at: `http://localhost:4000`.
+
+## Step 1 - Add Data Connections
+
+
+
+### Connection Name
+
+Name your connection.
+
+### Endpoint URL
+
+This should be a valid REST API endpoint
+
+- `http://<host>:<port>/api/`
+
+The endpoint url should end with `/`.
+
+### Token
+
+Please use a system admin account to create the SonarQube token, because some SonarQube APIs require this permission to list all projects. Learn about [how to create a SonarQube token](https://sonarqube.inria.fr/sonarqube/documentation/user-guide/user-token/).
+
+### Proxy URL (Optional)
+
+If you are behind a corporate firewall or VPN you may need to utilize a proxy server. Enter a valid proxy server address on your network, e.g. `http://your-proxy-server.com:1080`
+
+### Fixed Rate Limit (Optional)
+
+DevLake uses a dynamic rate limit at around 18,000 requests/hour to collect SonarQube data. You can adjust the rate limit if you want to increase or lower the speed.
+
+### Test and Save Connection
+
+Click `Test Connection`, if the connection is successful, click `Save Connection` to add the connection.
+
+## Step 2 - Setting Data Scope
+
+
+
+### Projects
+
+Choose the SonarQube projects to collect.
+
+### Data Entities
+
+Usually, you don't have to modify this part. However, if you don't want to collect certain SonarQube entities, you can unselect some entities to accerlerate the collection speed.
+
+- Code Quality Domain: SonarQube issues, issue code blocks, file metrics, hotspots, etc.
+- Cross Domain: SonarQube accounts, etc.
+
+## Step 3 - Adding Transformation Rules (Optional)
+SonarQube does not have transformation and this step will be skipped.
+
+## Step 4 - Setting Sync Policy
+
+You can choose how often you would like to sync your data in this step by selecting a sync frequency option or enter a cron code to specify your prefered schedule.
+
+## Troubleshooting
+
+If you run into any problem, please check the [Troubleshooting](/Troubleshooting/Configuration.md) or [create an issue](https://github.com/apache/incubator-devlake/issues)
diff --git a/versioned_docs/version-v0.19/Configuration/Tapd.md b/versioned_docs/version-v0.19/Configuration/Tapd.md
new file mode 100644
index 0000000000..c518088aac
--- /dev/null
+++ b/versioned_docs/version-v0.19/Configuration/Tapd.md
@@ -0,0 +1,76 @@
+---
+title: "TAPD"
+sidebar_position: 6
+description: Config UI instruction for TAPD
+---
+
+Visit Config UI at: `http://localhost:4000` and go to `Connections` page.
+
+## Step 1 - Add Data Connections
+
+
+### Connection Name
+Name your connection.
+
+### Endpoint URL
+This should be a valid REST API endpoint
+ - `https://api.tapd.cn/`
+The endpoint url should end with `/`.
+
+### Username/Password
+Input the username and password of your Tapd account, you can follow the steps as below.
+
+
+### Proxy URL (Optional)
+If you are behind a corporate firewall or VPN you may need to utilize a proxy server. Enter a valid proxy server address on your network, e.g. `http://your-proxy-server.com:1080`
+
+### Ralte Limit (Optional)
+For TAPD, we suggest you setting the rate limit to 3500
+
+### Test and Save Connection
+Click `Test Connection`, if the connection is successful, click `Save Connection` to add the connection.
+
+## Step 2 - Setting Data Scope
+
+
+
+You can find the campany id in your Tapd company dashboard.
+
+
+
+### Workspaces
+
+Choose the Tapd workspaces to collect.
+
+### Data Entities
+
+Usually, you don't have to modify this part. However, if you don't want to collect certain Tapd entities, you can unselect some entities to accerlerate the collection speed.
+
+- Issue Tracking: Tapd issues, issue comments, issue labels, etc.
+- Cross Domain: Tapd accounts, etc.
+
+## Step 3 - Adding Transformation Rules (Optional)
+
+
+
+Without adding transformation rules, you can not view all charts in "Engineering Throughput and Cycle Time" dashboards.<br/>
+
+Each Tapd workspace can be configured with different transformation rules.
+
+### Issue Tracking
+
+- Requirement: choose the issue types to be transformed to "REQUIREMENT".
+- Bug: choose the issue types to be transformed to "BUG".
+- Incident: choose the issue types to be transformed to "INCIDENT".
+- TODO: The issues that are planned but have not been worked on yet
+- IN-PROGRESS: The issues that are work-in-progress
+- DONE: The issues that are completed
+
+## Step 4 - Setting Sync Policy
+
+You can choose how often you would like to sync your data in this step by selecting a sync frequency option or enter a cron code to specify your prefered schedule.
+
+## Troubleshooting
+
+If you run into any problem, please check the [Troubleshooting](/Troubleshooting/Configuration.md) or [create an issue](https://github.com/apache/incubator-devlake/issues)
+
diff --git a/versioned_docs/version-v0.19/Configuration/TeamConfiguration.md b/versioned_docs/version-v0.19/Configuration/TeamConfiguration.md
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--- /dev/null
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@@ -0,0 +1,194 @@
+---
+title: "Team Configuration"
+sidebar_position: 10
+description: >
+ Team Configuration
+---
+## What is 'Team Configuration' and how it works?
+
+To organize and display metrics by `team`, Apache DevLake needs to know about the team configuration in an organization, specifically:
+
+1. What are the teams?
+2. Who are the users(unified identities)?
+3. Which users belong to a team?
+4. Which accounts(identities in specific tools) belong to the same user?
+
+Each of the questions above corresponds to a table in DevLake's schema, illustrated below:
+
+
+
+1. `teams` table stores all the teams in the organization.
+2. `users` table stores the organization's roster. An entry in the `users` table corresponds to a person in the org.
+3. `team_users` table stores which users belong to a team.
+4. `user_accounts` table stores which accounts belong to a user. An `account` refers to an identiy in a DevOps tool and is automatically created when importing data from that tool. For example, a `user` may have a GitHub `account` as well as a Jira `account`.
+
+Apache DevLake uses a simple heuristic algorithm based on emails and names to automatically map accounts to users and populate the `user_accounts` table.
+When Apache DevLake cannot confidently map an `account` to a `user` due to insufficient information, it allows DevLake users to manually configure the mapping to ensure accuracy and integrity.
+
+## A step-by-step guide
+
+In the following sections, we'll walk through how to configure teams and create the five aforementioned tables (`teams`, `users`, `team_users`, `accounts`, and `user_accounts`).
+The overall workflow is:
+
+1. Create the `teams` table
+2. Create the `users` and `team_users` table
+3. Populate the `accounts` table via data collection
+4. Run a heuristic algorithm to populate `user_accounts` table
+5. Manually update `user_accounts` when the algorithm can't catch everything
+
+Note:
+
+1. Please replace `/path/to/*.csv` with the absolute path of the CSV file you'd like to upload.
+2. Please replace `127.0.0.1:4000` with your actual Apache DevLake ConfigUI service IP and port number.
+
+## Step 1 - Create the `teams` table
+
+You can create the `teams` table by sending a PUT request to `/plugins/org/teams.csv` with a `teams.csv` file. To jumpstart the process, you can download a template `teams.csv` from `/plugins/org/teams.csv?fake_data=true`. Below are the detailed instructions:
+
+a. Download the template `teams.csv` file
+
+ i. GET http://127.0.0.1:4000/api/plugins/org/teams.csv?fake_data=true (pasting the URL into your browser will download the template)
+
+ ii. If you prefer using curl:
+ curl --location --request GET 'http://127.0.0.1:4000/api/plugins/org/teams.csv?fake_data=true'
+
+
+b. Fill out `teams.csv` file and upload it to DevLake (If you are using Excel to modify the CSV file, please save it with UTF-8 encoding. See [how](https://answers.microsoft.com/en-us/msoffice/forum/all/how-can-i-save-a-csv-with-utf-8-encoding-using/12801501-c1e4-4a64-80d9-96b680b64cfe))
+
+ i. Fill out `teams.csv` with your org data. Please don't modify the column headers or the file suffix.
+
+ ii. Upload `teams.csv` to DevLake with the following curl command:
+ curl --location --request PUT 'http://127.0.0.1:4000/api/plugins/org/teams.csv' --form 'file=@"/path/to/teams.csv"'
+
+ iii. The PUT request would populate the `teams` table with data from `teams.csv` file.
+ You can connect to the database and verify the data in the `teams` table.
+ See Appendix for how to connect to the database.
+
+
+
+
+## Step 2 - Create the `users` and `team_users` table
+
+You can create the `users` and `team_users` table by sending a single PUT request to `/plugins/org/users.csv` with a `users.csv` file. To jumpstart the process, you can download a template `users.csv` from `/plugins/org/users.csv?fake_data=true`. Below are the detailed instructions:
+
+a. Download the template `users.csv` file
+
+ i. GET http://127.0.0.1:4000/api/plugins/org/users.csv?fake_data=true (pasting the URL into your browser will download the template)
+
+ ii. If you prefer using curl:
+ curl --location --request GET 'http://127.0.0.1:4000/api/plugins/org/users.csv?fake_data=true'
+
+
+b. Fill out `users.csv` and upload to DevLake (If you are using Excel to modify the CSV file, please save it with UTF-8 encoding. See [how](https://answers.microsoft.com/en-us/msoffice/forum/all/how-can-i-save-a-csv-with-utf-8-encoding-using/12801501-c1e4-4a64-80d9-96b680b64cfe))
+
+ i. Fill out `users.csv` with your org data. Please don't modify the column headers or the file suffix
+
+ ii. Upload `users.csv` to DevLake with the following curl command:
+ curl --location --request PUT 'http://127.0.0.1:4000/api/plugins/org/users.csv' --form 'file=@"/path/to/users.csv"'
+
+ iii. The PUT request would populate the `users` table along with the `team_users` table with data from `users.csv` file.
+ You can connect to the database and verify these two tables.
+
+
+
+
+
+c. If you ever want to update `team_users` or `users` table, simply upload the updated `users.csv` to DevLake again following step b.
+
+## Step 3 - Populate the `accounts` table via data collection
+
+The `accounts` table is automatically populated when you collect data from data sources like GitHub and Jira through DevLake.
+
+For example, the GitHub plugin would create one entry in the `accounts` table for each GitHub user involved in your repository.
+For demo purposes, we'll insert some mock data into the `accounts` table using SQL:
+
+```
+INSERT INTO `accounts` (`id`, `created_at`, `updated_at`, `_raw_data_params`, `_raw_data_table`, `_raw_data_id`, `_raw_data_remark`, `email`, `full_name`, `user_name`, `avatar_url`, `organization`, `created_date`, `status`)
+VALUES
+ ('github:GithubAccount:1:1234', '2022-07-12 10:54:09.632', '2022-07-12 10:54:09.632', '{\"ConnectionId\":1,\"Owner\":\"apache\",\"Repo\":\"incubator-devlake\"}', '_raw_github_api_pull_request_reviews', 28, '', 'TyroneKCummings@teleworm.us', '', 'Tyrone K. Cummings', 'https://avatars.githubusercontent.com/u/101256042?u=a6e460fbaffce7514cbd65ac739a985f5158dabc&v=4', '', NULL, 0),
+ ('jira:JiraAccount:1:629cdf', '2022-07-12 10:54:09.632', '2022-07-12 10:54:09.632', '{\"ConnectionId\":1,\"BoardId\":\"76\"}', '_raw_jira_api_users', 5, '', 'DorothyRUpdegraff@dayrep.com', '', 'Dorothy R. Updegraff', 'https://avatars.jiraxxxx158dabc&v=4', '', NULL, 0);
+
+```
+
+
+
+## Step 4 - Run a heuristic algorithm to populate `user_accounts` table
+
+Now that we have data in both the `users` and `accounts` table, we can tell DevLake to infer the mappings between `users` and `accounts` with a simple heuristic algorithm based on names and emails.
+
+a. Send an API request to DevLake to run the mapping algorithm
+
+```
+curl --location --request POST '127.0.0.1:4000/api/pipelines' \
+--header 'Content-Type: application/json' \
+--data-raw '{
+ "name": "test",
+ "plan":[
+ [
+ {
+ "plugin": "org",
+ "subtasks":["connectUserAccountsExact"],
+ "options":{
+ "connectionId":1
+ }
+ }
+ ]
+ ]
+}'
+```
+
+b. After successful execution, you can verify the data in `user_accounts` in the database.
+
+
+
+## Step 5 - Manually update `user_accounts` when the algorithm can't catch everything
+
+It is recommended to examine the generated `user_accounts` table after running the algorithm.
+We'll demonstrate how to manually update `user_accounts` when the mapping is inaccurate/incomplete in this section.
+To make manual verification easier, DevLake provides an API for users to download `user_accounts` as a CSV file.
+Alternatively, you can verify and modify `user_accounts` all by SQL, see Appendix for more info.
+
+a. GET http://127.0.0.1:4000/api/plugins/org/user_account_mapping.csv(pasting the URL into your browser will download the file). If you prefer using curl:
+```
+curl --location --request GET 'http://127.0.0.1:4000/api/plugins/org/user_account_mapping.csv'
+```
+
+
+
+b. If you find the mapping inaccurate or incomplete, you can modify the `user_account_mapping.csv` file and then upload it to DevLake.
+For example, here we change the `UserId` of row 'Id=github:GithubAccount:1:1234' in the `user_account_mapping.csv` file to 2.
+
+c. Save and upload the updated `user_account_mapping.csv` file with the following curl command (If you are using Excel to modify the CSV file, please save it with UTF-8 encoding. See [how](https://answers.microsoft.com/en-us/msoffice/forum/all/how-can-i-save-a-csv-with-utf-8-encoding-using/12801501-c1e4-4a64-80d9-96b680b64cfe)):
+
+```
+curl --location --request PUT 'http://127.0.0.1:4000/api/plugins/org/user_account_mapping.csv' --form 'file=@"/path/to/user_account_mapping.csv"'
+```
+
+d. You can verify the data in the `user_accounts` table has been updated.
+
+
+
+## Appendix A: how to connect to the database
+
+Here we use MySQL as an example. You can install database management tools like Sequel Ace, DataGrip, MySQLWorkbench, etc.
+
+
+Or through the command line:
+
+```
+mysql -h <ip> -u <username> -p -P <port>
+```
+
+## Appendix B: how to examine `user_accounts` via SQL
+
+```
+SELECT a.id as account_id, a.email, a.user_name as account_user_name, u.id as user_id, u.name as real_name
+FROM accounts a
+ join user_accounts ua on a.id = ua.account_id
+ join users u on ua.user_id = u.id
+```
+
+
+## Troubleshooting
+
+If you run into any problem, please check the [Troubleshooting](/Troubleshooting/Installation.md) or [create an issue](https://github.com/apache/incubator-devlake/issues)
diff --git a/versioned_docs/version-v0.19/Configuration/Teambition.md b/versioned_docs/version-v0.19/Configuration/Teambition.md
new file mode 100644
index 0000000000..d428f953d6
--- /dev/null
+++ b/versioned_docs/version-v0.19/Configuration/Teambition.md
@@ -0,0 +1,56 @@
+---
+title: "Teambition(Beta)"
+sidebar_position: 6
+description: Config UI instruction for Teambition
+---
+
+Visit Config UI: `http://localhost:4000` and go to `Connections` page.
+
+## Step 1 - Add Data Connections
+
+
+### Connection Name
+Give your connection a unique name to help you identify it in the future.
+
+#### Endpoint URL
+This should be a valid REST API endpoint
+ - `https://open.teambition.com/api/`
+The endpoint url should end with `/`.
+
+### App Id/Secret Key
+Input the app id and secret key of your Teambition account, you can follow the steps as below.
+
+
+You should ensure that you have added all the necessary "get" and "list" authentication methods.
+
+
+
+#### Tenant Type/Tenant Id
+
+It is important to add your app before finding the Tenant Id.
+
+
+
+
+
+
+
+### Proxy URL (Optional)
+
+If you are behind a corporate firewall or VPN you may need to utilize a proxy server. Enter a valid proxy server address on your network, e.g. `http://your-proxy-server.com:1080`
+
+### Ralte Limit (Optional)
+For Teambition, we suggest you setting the rate limit to 5000
+
+### Test and Save Connection
+Click `Test Connection`, if the connection is successful, click `Save Connection` to add the connection.
+
+## Step 2 - Configure Blueprint
+
+Similar to other beta plugins, Teambition does not support `project`, which means, you can only collect Teambition data via blueprint's advanced mode.
+
+Please go to the `Blueprints` page and switch to advanced mode. See how to use advanced mode and JSON [examples](AdvancedMode.md#11-teambition).
+
+## Troubleshooting
+
+If you run into any problem, please check the [Troubleshooting](/Troubleshooting/Configuration.md) or [create an issue](https://github.com/apache/incubator-devlake/issues)
diff --git a/versioned_docs/version-v0.19/Configuration/Tutorial.md b/versioned_docs/version-v0.19/Configuration/Tutorial.md
new file mode 100644
index 0000000000..247d9ebd37
--- /dev/null
+++ b/versioned_docs/version-v0.19/Configuration/Tutorial.md
@@ -0,0 +1,92 @@
+---
+title: "Tutorial"
+sidebar_position: 1
+description: Config UI instruction
+---
+
+## Overview
+The Apache DevLake Config UI allows you to configure the data you wish to collect through a graphical user interface. Visit config-ui at `http://localhost:4000`.
+
+## Create a Project
+Starting from v0.15, DevLake has introduced the Project feature to alllow viewing project-based metrics, such as DORA. To create a project, simply go to Project on the main navigation, click on the "+ New Project" button and fill out the info on the dialog below.
+
+
+
+## Create a Blueprint
+
+### Introduction
+A Blueprint is a plan that covers all the work to get your raw data ready for query and metric computation in the dashboards. Blueprints can either be used to collect data for a Project or be used alone without being dependent on any Project. To use the Blueprint within a Project, you can create the Blueprint once a Project is created; to use it alone, you can create the Blueprint from the Blueprint page from the main navigation.
+
+For either usage of the Blueprint, creating it consists of four steps:
+
+1. Adding Data Connections: Add new or select from existing data connections for the data you wish to collect
+2. Setting Data Scope: Select the scope of data (e.g. GitHub projects or Jira boards) for your data connections
+3. Adding Transformations (Optional): Add transformation rules for the data scope you have selected in order to view corresponding metrics
+4. Setting the Sync Policies: Set the sync frequency, time range and the skip-on-fail option for your data
+
+For detailed instructions of each data source, please go to their individual configuration docs from the sidebar.
+
+### Step 1 - Add Data Connections
+There are two ways to add data connections to your Blueprint: adding them during the creation of a Blueprint and adding them separately on the Data Integrations page. There is no difference between these two ways.
+
+When adding data connections from the Blueprint, you can either create a new or select from existing data connections.
+
+
+
+### Step 2 - Set Data Scope
+After adding data connections, click on "Next Step" and you will be prompted to select the data scope of each data connection. For instance, for a GitHub connection, you will need to select or enter the projects you wish to sync, and for Jira, you will need to select from your boards.
+
+
+
+
+### Step 3 - Add Transformations (Optional)
+This step is required for viewing certain metrics (e.g. Bug Age, Bug Count per 1k Lines of Code and DORA)in the pre-built dashboards that require data transformation. We highly recommend adding Transformations for your data for the best display of the metrics. but you can still view the basic metrics if you skip this step.
+
+
+
+
+### Step 4 - Set the Sync Policies
+Time Filter: You can select the time range of the data you wish to sync to speed up the collection process.
+
+Frequency: You can choose how often you would like to sync your data in this step by selecting a sync frequency option or entering a cron code to specify your preferred schedule.
+
+Running Policy: By default, the `Skip failed tasks` is checked to avoid losing all data when encountering a few bugs during data collection, when you are collecting a large volume of data, e.g. 10+ GitHub repositories, Jira boards, etc. For clarity, a task is a unit of a pipeline, an execution of a blueprint. By default, when a task is failed, the whole pipeline will fail and all the data that has been collected will be discarded. By skipping failed tasks, the pipeline will continue to r [...]
+
+
+
+### View the Blueprint Status and Download Logs for Historical Runs
+After setting up the Blueprint, you will be prompted to the Blueprint's status page, where you can track the progress of the current run and wait for it to finish before the dashboards become available. You can also view all historical runs of previously created Blueprints from the list on the Blueprint page.
+
+If you run into any errors, you can also download the pipeline logs and share them with us on Slack so that our developers can help you debug.
+
+
+
+## Edit a Blueprint (Normal Mode)
+If you switch to the Configuration tab on the Blueprint detail page, you can see the settings of your Blueprint and edit them.
+
+In the current version, the Blueprint editing feature **allows** editing:
+- The Blueprint's name
+- The sync policies
+- The data scope of a connection
+- The data entities of the data scope
+- The transformation rules of any data scope
+- Editing any connections
+
+Please note:
+If you have created the Blueprint in the Normal mode, you will only be able to edit it in the Normal Mode; if you have created it in the Advanced Mode, please refer to [this guide](AdvancedMode.md#editing-a-blueprint-advanced-mode) for editing.
+
+
+
+## Create and Manage Data Connections
+
+The Data Connections page allows you to view, create and manage all your data connections in one place.
+
+
+## Manage Transformations
+The Transformations page allows you to manage all your transformation rules.
+
+
+
+## Troubleshooting
+
+If you run into any problem, please check [Troubleshooting](/Troubleshooting/Configuration.md), contact us on [Slack](https://join.slack.com/t/devlake-io/shared_invite/zt-17b6vuvps-x98pqseoUagM7EAmKC82xQ) or [create an issue](https://github.com/apache/incubator-devlake/issues).
diff --git a/versioned_docs/version-v0.19/Configuration/Zentao.md b/versioned_docs/version-v0.19/Configuration/Zentao.md
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index 0000000000..7497dc9a4c
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+++ b/versioned_docs/version-v0.19/Configuration/Zentao.md
@@ -0,0 +1,59 @@
+---
+title: "Zentao"
+sidebar_position: 6
+description: Config UI instruction for Zentao(禅道)
+---
+
+Visit Config UI at: `http://localhost:4000` and go to `Connections` page.
+
+## Step 1 - Add Data Connections
+
+
+
+### Connection Name
+
+Give your connection a unique name to help you identify it in the future.
+
+### Endpoint URL
+
+Please ensure that the REST API endpoint URL is valid. It should be in the format of either `http://<host>:<port>/api.php/v1/` or `http://<host>:<port>/zentao/api.php/v1/`.
+
+If the initial test fails, please try another endpoint URL as the URL depends on where Zentao is deployed. Additionally, please ensure that the endpoint URL ends with a forward slash `/`.
+
+### Username/Password
+
+Input the username and password of your Zentao account.
+
+### Proxy URL (Optional)
+
+If you are behind a corporate firewall or VPN you may need to utilize a proxy server. Enter a valid proxy server address on your network, e.g. `http://your-proxy-server.com:1080`
+
+### Test and Save Connection
+
+Click `Test Connection`, if the connection is successful, click `Save Connection` to add the connection.
+
+## Step 2 - Setting Data Scope
+
+
+
+### Projects and Products
+
+Please select the Zentao products for collecting stories/bugs and the Zentao projects for collecting executions. Both will also collect information on accounts/departments.
+
+### Data Entities
+
+Usually, you don't have to modify this part. However, if you don't want to collect certain Lento entities, you can unselect some entities to accerlerate the collection speed.
+
+- Issue Tracking: Lento issues, issue comments, issue labels, etc.
+
+## Step 3 - Adding Transformation Rules (Optional)
+Zentao does not have transformation and this step will be skipped.
+
+## Step 4 - Setting Sync Policy
+
+You can choose how often you would like to sync your data in this step by selecting a sync frequency option or enter a cron code to specify your prefered schedule.
+
+## Troubleshooting
+
+If you run into any problem, please check the [Troubleshooting](/Troubleshooting/Configuration.md) or [create an issue](https://github.com/apache/incubator-devlake/issues)
+
diff --git a/versioned_docs/version-v0.19/Configuration/_category_.json b/versioned_docs/version-v0.19/Configuration/_category_.json
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+++ b/versioned_docs/version-v0.19/Configuration/_category_.json
@@ -0,0 +1,8 @@
+{
+ "label": "Configuration",
+ "position": 3,
+ "link":{
+ "type": "generated-index",
+ "slug": "Configuration"
+ }
+}
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+++ b/versioned_docs/version-v0.19/Configuration/images/domain-layer-schema-diagram.svg
@@ -0,0 +1,19076 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="3540pt" height="1693pt" viewBox="0 0 3540 1693" version="1.1">
+<defs>
+<g>
+<symbol overflow="visible" id="glyph0-0">
+<path style="stroke:none;" d="M 1.75 0 L 1.75 -10.5 L 12.25 -10.5 L 12.25 0 Z M 2.625 -0.875 L 11.375 -0.875 L 11.375 -9.625 L 2.625 -9.625 Z M 2.625 -0.875 "/>
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