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          • Kafka Engine
          • Resize disk
          • Restore
          • Vertical scaling
        • Kafka
          • Resize disk
          • Log retention
        • PostgreSQL
          • Resize disk
          • Troubleshooting long-running migrations
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  • Sentry Connector

Sentry Connector

Last updated: Aug 09, 2022

On this page

  • What does the Sentry Connector do?
  • What are the requirements for this app?
  • How do I install the Sentry Connector with Javascript?
  • How do I install the Sentry Connector with Python?
  • How do I use the Sentry Connector?
  • Who maintains this app?
  • What if I have feedback on this app?
  • What if my question isn't answered above?

What does the Sentry Connector do?

Our Sentry Connector integration is a two-way integration which works on Javascript & Python.

Once installed, it will:

  • Add a direct link in Sentry to the profile of the person affected in PostHog.
  • Send an $exception event to PostHog with a direct link to Sentry.

This way, debugging issues becomes a lot easier, and you can also correlate error data with your product metrics.

What are the requirements for this app?

The Sentry Connector requires either PostHog Cloud, or a self-hosted PostHog instance running version 1.30.0 or later.

Not running 1.30.0? Find out how to update your self-hosted PostHog deployment!

You'll also need an account with Sentry.

How do I install the Sentry Connector with Javascript?

Make sure you're using both PostHog and Sentry as JS modules. You'll need to replace 'your organization' and project-id with the organization and project-id from Sentry.

  • 'your organization' will be in the URL when you go to your Sentry instance, like so: https://sentry.io/organizations/your-organization/projects/
  • project-id will be the last few digits in your Sentry DSN, such as https://adf90sdc09asfd3@9ads0fue.ingest.sentry.io/project-id
JavaScript
import posthog from 'posthog-js'
import * as Sentry from '@sentry/browser'
posthog.init('<ph_project_api_key>')
Sentry.init({
dsn: '<your Sentry DSN>',
integrations: [new posthog.SentryIntegration(posthog, 'your organization', project - id)],
})

How do I install the Sentry Connector with Python?

Terminal
pip install posthog

In your app, import the posthog library and set your api key and host before making any calls.

Python
import posthog
# Substitutes posthog.api_key which still exists but has been deprecated
posthog.project_api_key = '<ph_project_api_key>'
# Only necessary if you want to use feature flags
posthog.personal_api_key = '<ph_personal_api_key>'
# You can remove this line if you're using app.posthog.com
posthog.host = '<ph_instance_address>'

You can read more about the differences between the project and personal API keys in the dedicated API authentication section of the Docs.

Note: As a general rule of thumb, we do not recommend having API keys in plaintext. Setting it as an environment variable would be best.

You can find your keys in the 'Project Settings' page in PostHog.

To debug, you can toggle debug mode on:

Python
posthog.debug = True

And to make sure no calls happen during your tests, you can disable them, like so:

Python
if settings.TEST:
posthog.disabled = True

How do I use the Sentry Connector?

Once installed you'll now have $exception events in PostHog, which have a "Sentry URL" link to take you to the exception:

From Sentry you will now be able to go directly to the affected person in PostHog and watch the session recording for when the exception happened, see what else the user has done, and find their details. Don't forget to click the little icon to the side of the URL, not the URL itself.

Who maintains this app?

This app is maintained by PostHog. If you have issues with the app not functioning as intended, please raise a bug report to let us know!

What if I have feedback on this app?

We love feature requests and feedback! Please create an issue to tell us what you think.

What if my question isn't answered above?

We love answering questions. Ask us anything via our Support page.

You can also join the PostHog Community Slack group to collaborate with others and get advice on developing your own PostHog apps.

Questions?

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This app allows you to export both live and historical events from PostHog into Snowflake. This is useful when you want to run custom SQL queries on your data in PostHog using Snowflake's high-performance infrastructure. This app utilizes a Snowflake external stage to stage events in object storage - Amazon S3 or Google Cloud Storage. Staged events (stored in object storage as files containing event batches) are then copied into the final destination – your Snowflake table – once every 1…

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Authors

  • Paul Hultgren
    Paul Hultgren
  • Eli Kinsey
    Eli Kinsey

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