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HTTP Request and Sentry.io integration

Save yourself the work of writing custom integrations for HTTP Request and Sentry.io and use n8n instead. Build adaptable and scalable Development, Core Nodes, workflows that work with your technology stack. All within a building experience you will love.

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How to connect HTTP Request and Sentry.io

Create a new workflow and add the first step

In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.

HTTP Request and Sentry.io integration: Create a new workflow and add the first step

Investigate Sentry incidents with Google Gemini, Postgres, GitHub and Slack

Quick overview This workflow receives Sentry issue alert webhooks, gathers related context from Sentry, GitHub, and a Postgres incident database, then uses Google Gemini to generate a structured incident investigation report, saves it back to Postgres, and posts a summary to Slack. How it works Receives a POST webhook from Sentry when an issue alert fires and normalizes the payload into a consistent incident context (issue ID, title, environment, and links). Checks Postgres to see if an investigation record already exists for the same Sentry issue ID and proceeds only if it is new. Fetches the latest issue details from Sentry and retrieves recent commits from the configured GitHub repository. Searches Postgres for up to 10 similar historical incidents based on the current issue title and recent incident reports. Bundles the Sentry issue data, GitHub commit context, and historical incidents and sends the evidence to Google Gemini to produce a JSON investigation report with severity, hypotheses, and recommended actions. Validates and scores the AI output, then upserts the full investigation (evidence and report) into Postgres. Posts an incident summary message to a Slack channel with severity, confidence, and a link back to the Sentry issue. Setup Configure your Sentry integration to send issue alert webhooks to this workflow’s webhook URL and ensure the payload includes a Sentry issue ID. Add Sentry API credentials in n8n so the workflow can fetch issue details. Add GitHub API credentials and update the repository URL/owner/name used to fetch recent commits. Set up a Postgres database with an incident_investigations table matching the fields used in the SELECT and INSERT/UPSERT queries, then add your Postgres credentials in n8n. Add a Google Gemini (PaLM) API credential for the chat model used by the AI agent. Add Slack OAuth credentials and set the target channel for posting the incident summary.

Get started with this workflow

Popular ways to use the HTTP Request and Sentry.io integration

Investigate Sentry incidents with Google Gemini, Postgres, GitHub and Slack

Build your own HTTP Request and Sentry.io integration

Create custom HTTP Request and Sentry.io workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.

Sentry.io supported actions

HTTP Request and Sentry.io integration details

HTTP Request

HTTP Request

Related categories

Sentry.io

Sentry.io

Sentry.io is a service that helps you monitor and fix crashes in realtime. Sentry's platform helps every developer diagnose, fix, and optimize the performance of their code.

Related categories

Other integrations with HTTP Request and Sentry.io

With Sentry.io

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FAQ about HTTP Request integrations

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Why use n8n to integrate HTTP Request with Sentry.io

Handle branching, merging and iteration easily. Pause your workflow to wait for external events.

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