To make managing events from your application easier, Exceptionless provides some useful integrations. You can access these integrations by clicking the Project dropdown menu, clicking the settings icon next to the project name, then clicking on the Integrations tab on the Settings page.

Integrations Page Screenshot

We provide three integrations:

  1. Zapier
  2. Slack
  3. Webhooks

Zapier #

Exceptionless has built a first-class Zapier application that allows you to connect your Exceptionless account to over 3,000 other apps. To use this, simply sign into your Zapier account and search for Exceptionless.

Zapier page for Exceptionless

Slack #

Connecting to Slack is as simple as clicking the Slack integration button. You'll be prompted to sign into your Slack workspace. Once signed in, you can choose the channel for your notifications to be sent to. Then, back on the Settings page, you can configure what types of notifications are sent.

Slack integration example

Webhooks #

By configuring a webhook, you are telling Exceptionless to post data to the specified endpoint whenever specific events happen. This is useful in creating custom, bespoke integrations for your Exceptionless account. Configuring a webhook is simple. Click the Add Webhook button on the Settins page and provide the information requested in the modal.

Webhooks example

Here's an example of the event payload (this applies to v2 of the Exceptionless API):

"id": "22cd0826e447a44e78877a22",
"url": "http://localhost:5000/event/22cd0826e447a44e78877a22",
"occurrence_date": "2014-01-17T14:37:02.739-06:00",
"type": "error",
"message": "A potentially dangerous Request.Path value was detected from the client (&).",
"project_id": "537650f3b77efe23a47914f4",
"project_name": "Disintegrating Pistol",
"organization_id": "537650f3b77efe23a47914f3",
"organization_name": "Acme",
"stack_id": "1ecd0826e447a44e78877ab1",
"stack_url": "http://localhost:5000/stack/1ecd0826e447a44e78877ab1",
"stack_title": "A potentially dangerous Request.Path value was detected from the client (&).",
"stack_tags": [
"total_occurrences": 0,
"first_occurrence": "2014-01-17T20:37:02.739Z",
"last_occurrence": "2014-01-17T20:37:02.739Z",
"is_new": false,
"is_regression": false,
"is_critical": false

To see both v1 and v2 models for events and stacks, see this link.

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