Add Slack Alerts to Monitoring Projects page

docs/getting_started/building_bots.md

@@ -1,33 +0,0 @@
----
-title: Building Bots
----
-
-ClearML can be used to build bots that monitor tasks and send notifications based on specific events or conditions.
-
-The base [`Monitor`](https://github.com/clearml/clearml/blob/master/clearml/automation/monitor.py) class provides 
-the functionalities for implementing task monitoring logic. Developers can extend this class by inheriting it 
-and overriding its methods to introduce custom bot logic. 
-
-For example, by overriding methods like [`process_task()`](https://github.com/clearml/clearml/blob/master/clearml/automation/monitor.py#L131), you can:
-* Send notifications via Slack or other channels 
-* Log task statuses to a database 
-* Trigger automated responses when a task reaches a specific status
-
-This is useful for:
-* Real-Time Task Monitoring: Automate the tracking of task statuses 
-* Custom Notification Logic: Implement specific filtering criteria based on task names, task projects, or other 
-  criteria to receive relevant alerts.
-
-## SlackBot for ClearML Task Monitoring
-
-ClearML provides an example Slack bot built using [`clearml.automation.Monitor`](https://github.com/clearml/clearml/blob/master/clearml/automation/monitor.py). The bot does the following:
-
-* Monitors task status (completion, failure, etc.).
-* Sends notifications to a specified Slack channel.
-* Retrieves task details such as status, console logs, and links to the ClearML Web UI.
-
-You can configure filters for task types and projects to reduce unnecessary notifications.
-
-For a full example and detailed setup, see the [Slack Alerts Example](../guides/services/slack_alerts.md).
-
-![Slack Alerts](../img/examples_slack_alerts.png)

docs/getting_started/project_progress.md

@@ -6,9 +6,22 @@ ClearML provides a comprehensive set of monitoring tools to help effectively tra
 These tools offer both high-level overviews and detailed insights into task execution, resource 
 utilization, and project performance.
 
-## Offerings
 
-### Project Dashboard 
+## Project Overview
+
+A project's **OVERVIEW** tab in the UI presents a general picture of a project: 
+* Metric Snapshot – A graphical representation of selected metric values across project tasks, offering a quick assessment of progress.
+* Task Status Tracking – When a single metric variant is selected for the snapshot, task status is color-coded (e.g., 
+Completed, Aborted, Published, Failed) for better visibility.
+
+Use the Metric Snapshot to track project progress and identify trends in task performance.
+
+For more information, see [Project Overview](../webapp/webapp_project_overview.md).
+
+![Project Overview](../img/webapp_project_overview.png#light-mode-only)
+![Project Overview](../img/webapp_project_overview_dark.png#dark-mode-only)
+
+## Project Dashboard 
 
 :::info Pro Plan Offering
 The Project Dashboard app is available under the ClearML Pro plan.
@@ -28,16 +41,24 @@ For more information, see [Project Dashboard](../webapp/applications/apps_dashbo
 ![Project Dashboard](../img/apps_dashboard.png#light-mode-only)
 ![Project Dashboard](../img/apps_dashboard_dark.png#dark-mode-only)
 
-### Project Overview
+## Slack Alerts
 
-A project's **OVERVIEW** tab in the UI presents a general picture of a project: 
-* Metric Snapshot – A graphical representation of selected metric values across project tasks, offering a quick assessment of progress.
-* Task Status Tracking – When a single metric variant is selected for the snapshot, task status is color-coded (e.g., 
-Completed, Aborted, Published, Failed) for better visibility.
+ClearML allows you to monitor tasks and send notifications based on specific conditions or events using the [`clearml.automation.Monitor`](https://github.com/clearml/clearml/blob/master/clearml/automation/monitor.py) 
+class. By extending this class, you can:
 
-Use the Metric Snapshot to track project progress and identify trends in task performance.
+* Send notifications via Slack or other channels
+* Trigger automated responses based on specific task conditions
 
-For more information, see [Project Overview](../webapp/webapp_project_overview.md).
+ClearML provides an example Slackbot built using the [`Monitor`](https://github.com/clearml/clearml/blob/master/clearml/automation/monitor.py) class. The Slackbot does the following:
+
+* Monitors task status (completion, failure, etc.)
+* Sends notifications to a specified Slack channel
+* Retrieves task details such as status, console logs, and links to the ClearML Web UI
+
+You can configure filters for task types and projects to reduce unnecessary notifications.
+
+For a full example and detailed setup, see the [Slack Alerts Example](../guides/services/slack_alerts.md).
+
+![Slack Alerts](../img/examples_slack_alerts.png#light-mode-only)
+![Slack Alerts](../img/examples_slack_alerts_dark.png#dark-mode-only)
 
-![Project Overview](../img/webapp_project_overview.png#light-mode-only)
-![Project Overview](../img/webapp_project_overview_dark.png#dark-mode-only)

docs/guides/services/slack_alerts.md

@@ -6,11 +6,12 @@ The [Slack alerts example](https://github.com/clearml/clearml/blob/master/exampl
 demonstrates how to use the `clearml.automation.monitor` class to implement a service that monitors the completion and 
 failure of tasks, and posts alert messages on a Slack channel.
 
-![Slack alert example](../../img/examples_slack_alerts.png)
+![Slack alert example](../../img/examples_slack_alerts.png#light-mode-only)
+![Slack alert example](../../img/examples_slack_alerts_dark.png#dark-mode-only)
 
-## Creating a Slack Bot
+## Creating a Slackbot
 
-Before configuring and running the Slack alert service, create a Slack Bot (**ClearML Bot**). 
+Before configuring and running the Slack alert service, create a Slackbot (**ClearML Bot**). 
 
 :::important
 The Slack API token and channel you create are required to configure the Slack alert service.

sidebars.js

@@ -64,7 +64,6 @@ module.exports = {
         'getting_started/clearml_agent_docker_exec',
         'getting_started/clearml_agent_base_docker',
         'getting_started/clearml_agent_scheduling',
-        'getting_started/building_bots',
         {"Deploying Model Endpoints": [
             {
                 type: 'category',