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Sentry

Port's Sentry integration allows you to import projects, issues, project-tag and issue-tag from your Sentry cloud account into Port, according to your mapping and definition.

A Project is essentially a container for all the data and information related to a specific application or service that you want to monitor.

An Issue is a group of incidents that describe the underlying problem of your symptoms.

A Tag is a key/value pair used to attach additional metadata to objects. This metadata can include information such as the environment, runtime, log level, and more.

Common use cases

  • Map your monitored projects and issues into Port.

Prerequisites

To install the integration, you need a Kubernetes cluster that the integration's container chart will be deployed to.

Please make sure that you have kubectl and helm installed on your machine, and that your kubectl CLI is connected to the Kubernetes cluster where you plan to install the integration.

Troubleshooting

If you are having trouble installing this integration, please refer to these troubleshooting steps.

Installation

Choose one of the following installation methods:

Using this installation option means that the integration will be hosted by Port, with a customizable resync interval to ingest data into Port.

Beta feature

The Hosted by Port option is currently in beta, and is still undergoing final testing before its official release.

Should you encounter any bugs or functionality issues, please let us know so we can rectify them as soon as possible.
Your help is greatly appreciated! ⭐

Live event support

Currently, live events are not supported for integrations hosted by Port.
Resyncs will be performed periodically every 1 hour by default (can be configured differently after installation), or manually triggered by you via Port's UI.

Therefore, real-time events (including GitOps) will not be ingested into Port immediately.
Support for live events is WIP and will be supported in the near future.

Installation

To install, follow the following steps:

  1. Go to the Data sources page of your portal.

  2. Click on the + Data source button in the top-right corner.

  3. Click on the relevant integration in the list.

  4. Under Select your installation method, choose Hosted by Port.

  5. Configure the integration settings and application settings as you wish (see below for details).

Application settings

Every integration hosted by Port has the following customizable application settings, which are configurable after installation:

  • Resync interval: The frequency at which Port will ingest data from the integration. There are various options available, ranging from every 1 hour to once a day.

  • Send raw data examples: A boolean toggle (enabled by default). If enabled, raw data examples will be sent from the integration to Port. These examples are used when testing your mapping configuration, they allow you to run your jq expressions against real data and see the results.

Integration settings

Every integration has its own tool-specific settings, under the Integration settings section.
Each of these settings has an ⓘ icon next to it, which you can hover over to see a description of the setting.

Port secrets

Some integration settings require sensitive pieces of data, such as tokens.
For these settings, Port secrets will be used, ensuring that your sensitive data is encrypted and secure.

When changing such a setting, you will be prompted to choose an existing secret or create a new one:



Port source IP addresses

When using this installation method, Port will make outbound calls to your 3rd-party applications from static IP addresses.
You may need to add these addresses to your allowlist, in order to allow Port to interact with the integrated service:

54.73.167.226  
63.33.143.237
54.76.185.219

Ingesting Sentry objects

The Sentry integration uses a YAML configuration to describe the process of loading data into the developer portal.

Here is an example snippet from the config which demonstrates the process for getting Issue data from Sentry:

resources:
- kind: issue
selector:
query: "true"
port:
entity:
mappings:
identifier: ".id"
title: ".title"
blueprint: '"sentryIssue"'
properties:
link: ".permalink"
status: ".status"
isUnhandled: ".isUnhandled"
relations:
project: ".project.slug"

The integration makes use of the JQ JSON processor to select, modify, concatenate, transform and perform other operations on existing fields and values from Sentry's API events.

Configuration structure

The integration configuration determines which resources will be queried from Sentry, and which entities and properties will be created in Port.

Supported resources

The following resources can be used to map data from Sentry, it is possible to reference any field that appears in the API responses linked below for the mapping configuration.

  • The root key of the integration configuration is the resources key:

    resources:
    - kind: project
    selector:
    ...
  • The kind key is a specifier for a Sentry object:

      resources:
    - kind: project
    selector:
    ...
  • The port, entity and the mappings keys are used to map the Sentry object fields to Port entities. To create multiple mappings of the same kind, you can add another item in the resources array;

    resources:
    - kind: project
    selector:
    query: "true"
    port:
    entity:
    mappings:
    identifier: .slug
    title: .name
    blueprint: '"sentryProject"'
    properties:
    dateCreated: .dateCreated
    platform: .platform
    status: .status
    link: .organization.links.organizationUrl + "/projects/" + .name
Blueprint key

Note the value of the blueprint key - if you want to use a hardcoded string, you need to encapsulate it in 2 sets of quotes, for example use a pair of single-quotes (') and then another pair of double-quotes (")

Ingest data into Port

To ingest Sentry objects using the integration configuration, you can follow the steps below:

  1. Go to the DevPortal Builder page.
  2. Select a blueprint you want to ingest using Sentry.
  3. Choose the Ingest Data option from the menu.
  4. Select Sentry under the APM & alerting category.
  5. Add the contents of your integration configuration to the editor.
  6. Click Resync.

Examples

Examples of blueprints and the relevant integration configurations:

Project

Project blueprint
{
"identifier": "sentryProject",
"title": "Sentry Project",
"icon": "Sentry",
"schema": {
"properties": {
"dateCreated": {
"title": "Date Created",
"type": "string",
"format": "date-time"
},
"platform": {
"type": "string",
"title": "Platform"
},
"status": {
"title": "Status",
"type": "string",
"enum": [
"active",
"disabled",
"pending_deletion",
"deletion_in_progress"
]
},
"link": {
"title": "Link",
"type": "string",
"format": "url"
}
},
"required": []
},
"mirrorProperties": {},
"calculationProperties": {},
"relations": {}
}
Integration configuration
createMissingRelatedEntities: true
deleteDependentEntities: true
resources:
- kind: project
selector:
query: "true"
port:
entity:
mappings:
identifier: .slug
title: .name
blueprint: '"sentryProject"'
properties:
dateCreated: .dateCreated
platform: .platform
status: .status
link: .organization.links.organizationUrl + "/projects/" + .name

Issue

Issue blueprint
{
"identifier": "sentryIssue",
"title": "Sentry Issue",
"icon": "Sentry",
"schema": {
"properties": {
"link": {
"title": "Link",
"type": "string",
"format": "url"
},
"status": {
"title": "Status",
"type": "string",
"enum": [
"resolved",
"unresolved",
"ignored",
"reprocessing"
],
"enumColors": {
"resolved": "green",
"unresolved": "red",
"ignored": "lightGray",
"reprocessing": "yellow"
}
},
"isUnhandled": {
"title": "isUnhandled",
"type": "boolean"
}
},
"required": []
},
"mirrorProperties": {},
"calculationProperties": {},
"relations": {
"projectEnvironment": {
"title": "Sentry Project",
"target": "sentryProject",
"required": false,
"many": true
}
}
}
Integration configuration
createMissingRelatedEntities: true
deleteDependentEntities: true
resources:
- kind: issue
selector:
query: "true"
port:
entity:
mappings:
identifier: ".id"
title: ".title"
blueprint: '"sentryIssue"'
properties:
link: ".permalink"
status: ".status"
isUnhandled: ".isUnhandled"
relations:
project: ".project.slug"

Project Environment

Project environment blueprint
{
"identifier": "sentryProject",
"title": "Sentry Project Environment",
"icon": "Sentry",
"schema": {
"properties": {
"dateCreated": {
"title": "Date Created",
"type": "string",
"format": "date-time"
},
"platform": {
"type": "string",
"title": "Platform"
},
"status": {
"title": "Status",
"type": "string",
"enum": [
"active",
"disabled",
"pending_deletion",
"deletion_in_progress"
]
},
"link": {
"title": "Link",
"type": "string",
"format": "url"
}
},
"required": []
},
"mirrorProperties": {},
"calculationProperties": {},
"relations": {}
}
Integration configuration
Environment tags

Theselector.tag key in the project-tag kind defines which Sentry tag data is synced to Port. In the configuration provided below, you will ingest all environment tag from your Sentry account to Port. For instance, if a Sentry project has 3 environments namely development, staging and production, this configuration will create 3 entities in the Sentry Project Environment catalog. You will then use the issue-tag kind to connect each issue to its environment.

createMissingRelatedEntities: true
deleteDependentEntities: true
resources:
- kind: project-tag
selector:
query: "true"
tag: "environment"
port:
entity:
mappings:
identifier: .slug + "-" + .__tags.name
title: .name + "-" + .__tags.name
blueprint: '"sentryProject"'
properties:
dateCreated: .dateCreated
platform: .platform
status: .status
link: .organization.links.organizationUrl + "/projects/" + .name

- kind: issue-tag
selector:
query: "true"
tag: "environment"
port:
entity:
mappings:
identifier: .id
title: .title
blueprint: '"sentryIssue"'
properties:
link: .permalink
status: .status
isUnhandled: .isUnhandled
relations:
projectEnvironment: '[(.project.slug as $slug | .__tags[] | "\($slug)-\(.name)")]'

Let's Test It

This section includes a sample response data from Sentry. In addition, it includes the entity created from the resync event based on the Ocean configuration provided in the previous section.

Payload

Here is an example of the payload structure from Sentry:

Project response data
{
"id": "4504931759095808",
"slug": "python-fastapi",
"name": "python-fastapi",
"platform": "python-fastapi",
"dateCreated": "2023-03-31T06:18:37.290732Z",
"isBookmarked": false,
"isMember": false,
"features": [
"alert-filters",
"minidump",
"race-free-group-creation",
"similarity-indexing",
"similarity-view",
"span-metrics-extraction",
"span-metrics-extraction-resource",
"releases"
],
"firstEvent": "2023-03-31T06:25:54.666640Z",
"firstTransactionEvent": false,
"access": [],
"hasAccess": true,
"hasMinifiedStackTrace": false,
"hasMonitors": false,
"hasProfiles": false,
"hasReplays": false,
"hasFeedbacks": false,
"hasSessions": false,
"isInternal": false,
"isPublic": false,
"avatar": {
"avatarType": "letter_avatar",
"avatarUuid": null
},
"color": "#913fbf",
"status": "active",
"organization": {
"id": "4504931754901504",
"slug": "test-org",
"status": {
"id": "active",
"name": "active"
},
"name": "Test Org",
"dateCreated": "2023-03-31T06:17:33.619189Z",
"isEarlyAdopter": false,
"require2FA": false,
"requireEmailVerification": false,
"avatar": {
"avatarType": "letter_avatar",
"avatarUuid": null,
"avatarUrl": null
},
"features": [
"performance-tracing-without-performance",
"performance-consecutive-http-detector",
"performance-large-http-payload-detector",
"escalating-issues",
"minute-resolution-sessions",
"performance-issues-render-blocking-assets-detector",
"event-attachments"
],
"links": {
"organizationUrl": "https://test-org.sentry.io",
"regionUrl": "https://us.sentry.io"
},
"hasAuthProvider": false
}
}
Issue response data
{
"id": "4605173695",
"shareId": "None",
"shortId": "PYTHON-FASTAPI-2",
"title": "ZeroDivisionError: division by zero",
"culprit": "index",
"permalink": "https://test-org.sentry.io/issues/4605173695/",
"logger": "None",
"level": "error",
"status": "unresolved",
"statusDetails": {},
"substatus": "new",
"isPublic": false,
"platform": "python",
"project": {
"id": "4504931759095808",
"name": "python-fastapi",
"slug": "python-fastapi",
"platform": "python-fastapi"
},
"type": "error",
"metadata": {
"value": "division by zero",
"type": "ZeroDivisionError",
"filename": "app.py",
"function": "index",
"display_title_with_tree_label": false,
"in_app_frame_mix": "mixed"
},
"numComments": 0,
"assignedTo": "None",
"isBookmarked": false,
"isSubscribed": false,
"subscriptionDetails": "None",
"hasSeen": false,
"annotations": [],
"issueType": "error",
"issueCategory": "error",
"isUnhandled": true,
"count": "1",
"userCount": 0,
"firstSeen": "2023-11-06T08:31:27.058163Z",
"lastSeen": "2023-11-06T08:31:27.058163Z",
"stats": {
"24h": [
[1699174800, 0],
[1699178400, 0],
[1699182000, 0],
[1699250400, 0],
[1699254000, 0],
[1699257600, 1]
]
}
}
Project environment response data
{
"id":"4504931759095808",
"slug":"python-fastapi",
"name":"python-fastapi",
"platform":"python-fastapi",
"dateCreated":"2023-03-31T06:18:37.290732Z",
"isBookmarked":false,
"isMember":false,
"features":[
"alert-filters",
"minidump",
"race-free-group-creation",
"similarity-indexing",
"similarity-view",
"span-metrics-extraction",
"span-metrics-extraction-resource",
"releases"
],
"firstEvent":"2023-03-31T06:25:54.666640Z",
"firstTransactionEvent":false,
"access":[

],
"hasAccess":true,
"hasMinifiedStackTrace":false,
"hasMonitors":false,
"hasProfiles":false,
"hasReplays":false,
"hasFeedbacks":false,
"hasSessions":false,
"isInternal":false,
"isPublic":false,
"avatar":{
"avatarType":"letter_avatar",
"avatarUuid":null
},
"color":"#913fbf",
"status":"active",
"organization":{
"id":"4504931754901504",
"slug":"pages-org",
"status":{
"id":"active",
"name":"active"
},
"name":"Pages Org",
"dateCreated":"2023-03-31T06:17:33.619189Z",
"isEarlyAdopter":false,
"require2FA":false,
"requireEmailVerification":false,
"avatar":{
"avatarType":"letter_avatar",
"avatarUuid":null,
"avatarUrl":null
},
"links":{
"organizationUrl":"https://pages-org.sentry.io",
"regionUrl":"https://us.sentry.io"
},
"hasAuthProvider":false
},
"__tags":{
"key":"environment",
"name":"production",
"value":"production",
"count":10,
"lastSeen":"2024-03-04T17:17:33Z",
"firstSeen":"2024-03-04T17:14:22Z"
}
}

Mapping Result

The combination of the sample payload and the Ocean configuration generates the following Port entity:

Project entity in Port
{
"identifier": "python-fastapi",
"title": "python-fastapi",
"icon": null,
"blueprint": "sentryProject",
"team": [],
"properties": {
"dateCreated": "2023-03-31T06:18:37.290732Z",
"platform": "python-fastapi",
"status": "active",
"link": "https://test-org.sentry.io/projects/python-fastapi"
},
"relations": {},
"createdAt": "2023-11-06T08:49:17.700Z",
"createdBy": "hBx3VFZjqgLPEoQLp7POx5XaoB0cgsxW",
"updatedAt": "2023-11-06T08:59:11.446Z",
"updatedBy": "hBx3VFZjqgLPEoQLp7POx5XaoB0cgsxW"
}
Issue entity in Port
{
"identifier": "4605173695",
"title": "ZeroDivisionError: division by zero",
"icon": null,
"blueprint": "sentryIssue",
"team": [],
"properties": {
"link": "https://test-org.sentry.io/issues/4605173695/",
"status": "unresolved",
"isUnhandled": true
},
"relations": {
"project": "python-fastapi"
},
"createdAt": "2023-11-06T08:49:20.406Z",
"createdBy": "hBx3VFZjqgLPEoQLp7POx5XaoB0cgsxW",
"updatedAt": "2023-11-06T08:49:20.406Z",
"updatedBy": "hBx3VFZjqgLPEoQLp7POx5XaoB0cgsxW"
}
Project environment entity in Port
{
"identifier": "python-fastapi-production",
"title": "python-fastapi-production",
"icon": null,
"blueprint": "sentryProject",
"team": [],
"properties": {
"dateCreated": "2023-03-31T06:18:37.290732Z",
"platform": "python-fastapi",
"status": "active",
"link": "https://test-org.sentry.io/projects/python-fastapi"
},
"relations": {},
"createdAt": "2024-03-07T12:18:17.111Z",
"createdBy": "hBx3VFZjqgLPEoQLp7POx5XaoB0cgsxW",
"updatedAt": "2024-03-07T12:31:52.041Z",
"updatedBy": "hBx3VFZjqgLPEoQLp7POx5XaoB0cgsxW"
}

Alternative installation via webhook

While the Ocean integration described above is the recommended installation method, you may prefer to use a webhook to ingest data from Sentry. If so, use the following instructions:

Webhook installation (click to expand)

In this example you are going to create a webhook integration between Sentry and Port, which will ingest issues entities.

Port configuration

Create the following blueprint definition:

Sentry issue blueprint
{
"identifier": "sentryIssue",
"description": "This blueprint represents an issue trigger event from Sentry",
"title": "Sentry Issue Event",
"icon": "Sentry",
"schema": {
"properties": {
"level": {
"type": "string",
"title": "Level",
"enum": ["error", "info", "fatal", "warning", "debug", "sample"]
},
"platform": {
"type": "string",
"title": "Platform",
"description": "the platform name in Sentry"
},
"status": {
"type": "string",
"title": "Issue Status"
},
"projectID": {
"type": "string",
"title": "Project ID",
"description": "the ID of the project in Sentry"
},
"action": {
"type": "string",
"title": "Action",
"enum": ["created", "resolved", "assigned", "ignored"]
}
},
"required": []
},
"mirrorProperties": {},
"calculationProperties": {},
"relations": {}
}

Create the following webhook configuration using Port UI:

Sentry issue webhook configuration
  1. Basic details tab - fill the following details:

    1. Title : Sentry issue mapper;
    2. Identifier : sentry_issue_mapper;
    3. Description : A webhook configuration to map Sentry Issues to Port;
    4. Icon : Sentry;
  2. Integration configuration tab - fill the following JQ mapping:

    [
    {
    "blueprint": "sentryIssue",
    "entity": {
    "identifier": ".body.data.issue.id",
    "title": ".body.data.issue.title",
    "properties": {
    "action": ".body.action",
    "level": ".body.data.issue.level",
    "platform": ".body.data.issue.platform",
    "status": ".body.data.issue.status",
    "projectID": ".body.data.issue.project.id"
    }
    }
    }
    ]
  3. Scroll down to Advanced settings and input the following details:

    1. Signature Header Name : sentry-hook-signature;
    2. Signature Algorithm : Select sha256 from dropdown option;
    3. Click Save at the bottom of the page.
tip

We have left out the secret field from the security object in the webhook configuration because the secret value is generated by Sentry when creating the webhook. So when following this example, please first create the webhook configuration in Port. Use the webhook URL from the response and create the webhook in Sentry. After getting the secret from Sentry, you can go back to Port and update the webhook configuration with the secret.

Create a webhook in Sentry

  1. Log in to Sentry with your organization's credentials;
  2. Click the gear icon (Setting) at the left sidebar of the page;
  3. Choose Developer Settings;
  4. At the upper corner of this page, click on Create New Integration;
  5. Sentry provides two types of integrations: Internal and Public. For the purpose of this guide, choose Internal Integration and click on the Next button;
  6. Input the following details:
    1. Name - use a meaningful name such as Port Webhook;
    2. Webhook URL - enter the value of the url key you received after creating the webhook configuration;
    3. Overview - enter a description for the webhook;
    4. Permissions - Grant your webhook Read permissions for the Issue & Event category;
    5. Webhooks - Under this section, enable the issues checkbox to allow Sentry to report issue events to Port;
  7. Click Save Changes at the bottom of the page.
tip

Now that the webhook is created, you can take the secret value generated by Sentry and use it to update the security object in your Port webhook configuration

Relate comments to Issues

The following example adds a sentryComment blueprint, in addition to the sentryIssue blueprint shown in the previous example. In addition, it also adds a sentryIssue relation. The webhook will create or update the relation between the 2 existing entities, allowing you to map which issue a comment is made on:

Sentry comments blueprint (including the sentryIssue relation)
{
"identifier": "sentryComment",
"description": "This blueprint represents a Sentry comment in our software catalog",
"title": "Sentry Comment",
"icon": "Sentry",
"schema": {
"properties": {
"action": {
"type": "string",
"title": "action",
"enum": ["created", "updated", "deleted"]
},
"comment": {
"type": "string",
"title": "Comment"
},
"project": {
"type": "string",
"title": "Project Slug"
},
"issue_id": {
"type": "string",
"title": "Issue ID"
},
"timestamp": {
"type": "string",
"title": "Comment Timestamp"
}
},
"required": []
},
"mirrorProperties": {},
"calculationProperties": {},
"relations": {
"sentryIssue": {
"title": "Issue",
"target": "sentryIssue",
"required": false,
"many": false
}
}
}

Create the following webhook configuration using Port UI:

Sentry comments webhook configuration
  1. Basic details tab - fill the following details:

    1. Title : Sentry comment mapper;
    2. Identifier : sentry_comment_mapper;
    3. Description : A webhook configuration to map Sentry Comments to Port;
    4. Icon : Sentry;
  2. Integration configuration tab - fill the following JQ mapping:

    [
    {
    "blueprint": "sentryComment",
    "entity": {
    "identifier": ".body.data.comment_id",
    "title": "Comment Event",
    "properties": {
    "action": ".body.action",
    "comment": ".body.data.comment",
    "project": ".body.data.project_slug",
    "issue_id": ".body.data.issue_id",
    "timestamp": ".body.data.timestamp"
    },
    "relations": {
    "sentryIssue": ".body.data.issue_id | tostring"
    }
    }
    }
    ]
  3. Scroll down to Advanced settings and input the following details:

    1. Signature Header Name : sentry-hook-signature;
    2. Signature Algorithm : Select sha256 from dropdown option;
    3. Click Save at the bottom of the page.
tip

In order to view the different payloads and events available in Sentry webhooks, click here

Done! any issue and comment in Sentry will trigger a webhook event. Port will parse the events according to the mapping and update the catalog entities accordingly.

Let's Test It

This section includes a sample webhook event sent from Sentry when an issue or comment is created. In addition, it includes the entity created from the event based on the webhook configuration provided in the previous section.

Payload

Here is an example of the payload structure sent to the webhook URL when a Sentry issue or comment is created:

Sentry issue webhook event payload
{
"action": "created",
"installation": {
"uuid": "54a3e698-f389-4d86-b9f8-50093a228449"
},
"data": {
"issue": {
"id": "4253613038",
"shareId": "None",
"shortId": "PYTHON-B",
"title": "NameError: name 'total' is not defined",
"culprit": "__main__ in <module>",
"permalink": "None",
"logger": "None",
"level": "error",
"status": "unresolved",
"statusDetails": {},
"substatus": "new",
"isPublic": false,
"platform": "python",
"project": {
"id": "4504989602480128",
"name": "python",
"slug": "python",
"platform": "python"
},
"type": "error",
"metadata": {
"value": "name 'total' is not defined",
"type": "NameError",
"filename": "sentry.py",
"function": "<module>",
"display_title_with_tree_label": false
},
"numComments": 0,
"assignedTo": "None",
"isBookmarked": false,
"isSubscribed": false,
"subscriptionDetails": "None",
"hasSeen": false,
"annotations": [],
"issueType": "error",
"issueCategory": "error",
"isUnhandled": true,
"count": "1",
"userCount": 0,
"firstSeen": "2023-06-15T17:10:09.914274Z",
"lastSeen": "2023-06-15T17:10:09.914274Z"
}
},
"actor": {
"type": "application",
"id": "sentry",
"name": "Sentry"
}
}
Sentry comment webhook event payload
{
"action": "created",
"installation": {
"uuid": "d5a2de51-0138-496a-8e79-c17747c3a40d"
},
"data": {
"comment_id": "1729635072",
"issue_id": "4253613038",
"project_slug": "python",
"timestamp": "2023-06-15T17:15:53.383120Z",
"comment": "Hello admin please take a look at this"
},
"actor": {
"type": "user",
"id": 2683666,
"name": "user@domain.com"
}
}

Mapping Result

The combination of the sample payload and the webhook configuration generates the following Port sentryIssue entity:

{
"identifier": "4253613038",
"title": "NameError: name 'total' is not defined",
"blueprint": "sentryIssue",
"properties": {
"action": "created",
"level": "error",
"platform": "python",
"status": "unresolved",
"projectID": "4504989602480128"
},
"relations": {}
}

In addition, the following Port sentryComment entity will be generated:

{
"identifier": "1729635072",
"title": "Comment Event",
"blueprint": "sentryComment",
"properties": {
"action": "created",
"comment": "Hello admin please take a look at this",
"project": "python",
"issue_id": "4253613038",
"timestamp": "2023-06-15T17:15:53.383120Z"
},
"relations": {
"sentryIssue": "4253613038"
}
}