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Azure Pipelines

Overview

This document provides a detailed guide to integrating Azure Pipelines with Callgoose SQIBS for real-time Incident Management, Incident Auto Remediation, Event-Driven Automation, and other automation purposes. The integration enables automatic creation, updating, and resolution of incidents in Callgoose SQIBS based on alerts triggered in Azure Pipelines. The guide includes steps for setting up Azure Pipelines alerts, configuring webhook notifications, creating API filters in Callgoose SQIBS, and troubleshooting.


Prerequisites

  • Azure DevOps Account: Access to Azure Pipelines for creating build and deployment pipelines.
  • Callgoose SQIBS Account: With valid privileges to set up API filters and receive notifications.
  • Webhook/API Endpoint: Available in Callgoose SQIBS to receive alerts from Azure Pipelines.


1. Obtain API Token and Endpoint Details

To integrate with Callgoose SQIBS, you first need to obtain an API token and find the API endpoint details.

1.1 Generate an API Token:

1.2 Find the API Endpoint:


2. Debugging and Troubleshooting

You can enable debugging in the API tokens used with Azure Pipelines notifications for troubleshooting purposes.

2.1 Enable Debugging:

  • You can update the debug value when adding or updating an API token.
  • When API tracking is enabled, logs are stored in the API log section for your review. The debugging option will automatically disable after 48 hours.
  • When API tracking is turned off, no logs are saved in the API log.

2.2 Using API Log for Troubleshooting:

  • The API log provides detailed information on all API calls made to Callgoose SQIBS.
  • You can check the JSON values in each API log entry for troubleshooting purposes.
  • Use the information in the API log to create or refine API filters to ensure incidents are created correctly based on the API payloads received.
  • Callgoose SQIBS creates incidents according to your API filter configuration, giving you full control over how alerts from different services trigger incidents and alerts for your support team or automation processes.


3. Configuring Azure Pipelines to Send JSON Payloads

To configure Azure Pipelines to generate the JSON payloads similar to the examples provided, follow the steps outlined below. These steps will guide you through setting up the necessary alerts and webhook notifications within Azure Pipelines to ensure that the JSON payloads match those expected by Callgoose SQIBS.

3.1 Setting Up Azure Pipeline Alerts

To generate the required JSON payloads, you first need to set up alerts within Azure Pipelines.

  • Log in to Azure DevOps:
  • Access the Azure DevOps portal using your account credentials.
  • Navigate to Pipelines:
  • In the Azure DevOps portal, go to the "Pipelines" section.
  • Create or Edit a Pipeline:
  • Create a new pipeline or edit an existing one that you want to monitor.
  • Set up Notifications:
  • Go to the "Project Settings" in your Azure DevOps project.
  • Navigate to "Service hooks" and select "Create Subscription."
  • Choose the "Web Hooks" service and set up a new subscription for events like pipeline completion, build failure, or deployment success.


3.2 Configuring the Webhook Notification

To ensure that the JSON payload sent matches the examples provided, follow these steps when configuring the webhook:

  • Add Webhook URL:
  • In the Webhook URL field, enter the endpoint provided by Callgoose SQIBS.
  • Ensure the protocol is HTTPS for secure data transmission.
  • Customize Payload Format:
  • Ensure that the payload includes key fields like "status", "event", "severity", "description", "timestamp", and others as shown in the example payloads.
  • Example Payload Setup:
json

{
  "status": "failed",
  "event": "build",
  "severity": "high",
  "description": "Build failed due to a syntax error",
  "pipeline": "Pipeline Name",
  "timestamp": "2024-08-05T12:00:00.000Z"
}
  • Placeholder Explanation:
  • "status": Represents the status of the build or deployment (e.g., failed, succeeded).
  • "event": The type of event (e.g., build, release).
  • "severity": The level of urgency.
  • "description": A descriptive message of the event.
  • "pipeline": The name of the pipeline.
  • "timestamp": The time the event occurred.
  • Test the Webhook Configuration:
  • Before activating the webhook, perform a test to ensure that the JSON payload is correctly formatted and is being sent to the Callgoose SQIBS API endpoint as expected.
  • Review the payload in Callgoose SQIBS to confirm that it matches the expected structure.


3.3 Finalizing and Testing

  • Save and Activate the Alert:
  • Once the alert and webhook are correctly configured, save the alert configuration and activate it.
  • Validate the Integration:
  • Trigger the alert condition manually if possible to verify that the correct JSON payload is sent to Callgoose SQIBS.
  • Resolve the alert to ensure the resolved state payload is also correctly sent and processed.


4. Configuring Callgoose SQIBS

4.1 Create API Filters in Callgoose SQIBS

To correctly map incidents from the Azure Pipelines alerts, you need to create API filters based on the JSON payloads received.


4.1.1 Example JSON Payloads from Azure Pipelines

  • Alert Triggered (status: "failed")
json

{
  "status": "failed",
  "event": "build",
  "severity": "high",
  "description": "Build failed due to a syntax error",
  "pipeline": "Pipeline Name",
  "timestamp": "2024-08-05T12:00:00.000Z"
}
  • Alert Resolved (status: "succeeded")
json

{
  "status": "succeeded",
  "event": "build",
  "severity": "low",
  "description": "Build succeeded after fixing the syntax error",
  "pipeline": "Pipeline Name",
  "timestamp": "2024-08-05T12:30:00.000Z"
}

4.2 Configuring API Filters

4.2.1 Integration Templates

If you see an Azure Pipelines integration template in the "Select Integration Template" dropdown in the API filter settings, you can use it to automatically add the necessary Trigger and Resolve filters along with other values. The values added by the template can be modified to customize the integration according to your requirements.


4.2.2 Manually Add/Edit the Filter

  • Trigger Filter (For Creating Incidents):
  • Payload JSON Key: "status"
  • Key Value Contains: ["failed"]
  • Map Incident With: "pipeline"
  • This corresponds to the unique pipeline name from the Azure Pipelines payload.
  • Incident Title From: "description"
  • This will use the event description as the incident title in Callgoose SQIBS.
  • Incident Description From: Leave this empty unless you want to use a specific key-value from the JSON payload. If a key is entered, only the value for that key will be used as the Incident Description instead of the full JSON. By default, the Incident Description will include the full JSON values.
  • Example: If you use the "description" key in the Incident Description From field, the incident description will be the value of the "description" key. In the example JSON payload provided earlier, this would result in a description like "Build failed due to a syntax error".
  • Resolve Filter (For Resolving Incidents):
  • Payload JSON Key: "status"
  • Key Value Contains: ["succeeded"]
  • Incident Mapped With: "pipeline"
  • This ensures the incident tied to the specific pipeline name is resolved when the alert status returns to normal.

Refer to the API Filter Instructions and FAQ for more details.


4.3 Finalizing Setup

  • Save the API Filters:
  • Ensure that the filters are correctly configured and saved in Callgoose SQIBS.
  • Double-check that all key mappings, incident titles, and descriptions are correctly aligned with the payload structure sent by Azure Pipelines.
  • Test the Integration:
  • Manually trigger an alert in Azure Pipelines to test if incidents are created in Callgoose SQIBS.
  • Verify that the incident appears in Callgoose SQIBS with the correct title, description, and mapped values.
  • Resolve the alert in Azure Pipelines and ensure that the corresponding incident in Callgoose SQIBS is marked as resolved.


5. Testing and Validation

5.1 Triggering Alerts

  • Simulate a Pipeline Failure:
  • Trigger a condition in Azure Pipelines that causes a build or deployment to fail (e.g., introducing a syntax error in the code).
  • Verify that an incident is created in Callgoose SQIBS with the correct information, such as the failure reason and pipeline details.


5.2 Resolving Alerts

  • Acknowledge and Resolve the Alert:
  • Once the issue is resolved in Azure Pipelines (e.g., the syntax error is fixed and the build or deployment succeeds), verify that the incident in Callgoose SQIBS is automatically marked as resolved.


6. Security Considerations

  • API Security: Ensure that the Callgoose SQIBS API endpoint is correctly configured and that the API token is securely stored and used.
  • Azure Pipelines Permissions: Confirm that the webhook in Azure Pipelines has appropriate permissions to send alerts and data to Callgoose SQIBS.
  • Data Encryption: Ensure that the transmission of data between Azure Pipelines and Callgoose SQIBS is encrypted, especially if sensitive information is involved.


7. Troubleshooting

  • No Incident Created: If no incident is created, verify that the webhook URL in Azure Pipelines is correct and that the JSON payload structure matches the API filters configured in Callgoose SQIBS.
  • Incident Not Resolved: Ensure that the resolve filter in Callgoose SQIBS is correctly configured and that the JSON payload sent by Azure Pipelines matches the expected structure.


8. Conclusion

This guide provides a comprehensive overview of how to integrate Azure Pipelines with Callgoose SQIBS for effective incident management. By following the steps outlined, you can ensure that alerts from Azure Pipelines are automatically reflected as incidents in Callgoose SQIBS, with proper resolution tracking when the issues are resolved.

For further customization or advanced use cases, refer to the official documentation for both Azure Pipelines and Callgoose SQIBS:

This documentation will guide you through the integration process, ensuring that your incidents are managed effectively within Callgoose SQIBS based on real-time alerts from Azure Pipelines.

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