Enables custom integrations by sending high-level, correlated incidents from BigPanda to any Webhook receiver you configure.
Sends incident data to an external URL via HTTP POST request.
Supports custom authentication headers for data security.
Supports AutoSharing, manual sharing, and sharing updates.
In general, Webhooks are a programmatic way to send information to an Internet address when an event occurs in an application. In BigPanda, the Notifications Webhook allows you to send incident information to a callback URL when an incident is shared and when the shared incident is updated.
Configure webhooks to build custom integrations with messaging, ticketing, or other collaboration systems.
A Notifications Webhook integration creates a sharing channel from BigPanda to a callback URL of your choosing. When an incident is shared via the channel, BigPanda sends an
HTTP POST request to the callback URL. The data payload of the request is
the Incident object with the expanded representation of the
Alertobjects it contains. The application or service that receives the request can then process the data according to any business logic it has configured for new shares from BigPanda. For example, if the callback URL is an API endpoint for a service desk application, you may configure the application to create a ticket for the team that handles incident escalations.
If a change occurs that triggers a sharing update for the incident, BigPanda sends another
HTTP POST request to the callback URL, with the updated
Alert objects it contains. The application or service that receives the request can then process the data according to any business logic it has configured for updates to existing BigPanda shares. For example, if the callback URL is an API endpoint for a service desk application, you may configure the application to update the existing ticket for the shared incident.
You can use the Notifications webhook to build any number of custom collaboration integrations. As with other sharing channels, the same incident update can be shared through multiple webhook integrations.
The Notifications webhook is often used to integrate BigPanda with messaging, ticketing, or other collaboration systems. Some systems provide built-in API endpoints and scripting layers for receiving and transforming data according to custom business logic. Alternatively, you can build a custom API endpoint within your infrastructure or by using cloud services such as Amazon API Gateway and AWS Lambda.
To build a custom integration with the Notifications webhook, you must configure the collaboration system to receive and use BigPanda incident data. Then, configure BigPanda to send the data.
Follow this general process to use the Notifications Webhook:
Configure The API Endpoint To Receive The Webhook.
Be sure to configure security settings for authenticating requests, such as API keys or user account credentials. Consider configuring responses with status codes to aid in testing and troubleshooting.
Set Up The Receiving System To Use The Data.
Apply custom business logic, transform the data, and/or perform actions in the system with custom code or settings. As necessary, configure data storage, include logic for receiving multiple requests about the same incident, and/or configure the API endpoint to trigger any custom code when data is received.
Configure The Webhook Settings In BigPanda.
Create a sharing channel from BigPanda to the application or service. Provide the callback URL and authentication headers that BigPanda will use to send the incident data.
Test The Webhook.
Configure Environments And AutoShare Rules To Use The Webhook Sharing Channel, As Necessary.
You can use the Incidents API to build a bidirectional integration with a collaboration system.
For example, if you are building a webhook integration that creates a ticket in a service desk application, you may want to use the Incidents API to automatically resolve the BigPanda incident when the service desk ticket is closed.
To learn more about installing Notification Webhooks in BigPanda, see the instructions in BigPanda.