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Welcome to Datagrid
Welcome to Datagrid
Sentry

Sentry

The Sentry connector allows you to seamlessly pull data from your Sentry account into Datagrid. This integration enables you to leverage Datagrid's powerful data analysis and visualization tools with your Sentry data, providing enhanced insights and reporting capabilities for application monitoring.

1. How-to

1. Prerequisites

To configure the Sentry connector, follow these steps:

  • An active Sentry account with the necessary permissions to access the projects and data you want to import into Datagrid.
  • A Sentry API key (Personal Access Token). You can generate this from your Sentry account settings under "Auth Tokens."
  • Select the data you want to import into Datagrid

2. Connect

Creating a dataset from the Sentry connector involves selecting the specific data you want to import via Sentry:

  1. Connect Sentry App: a. Click on the "+ Create” Button on the top left of the screen. b. Select the "Connect Apps" item. c. Search for the Sentry connector from the list. d. Login with your Sentry account. Sentry may prompt you to authorize Datagrid's access to your Sentry data. Grant the necessary permissions to proceed. e. Click on the “Next” button.
  2. Pick your Data: a. Pick the Sentry data you want to include in your dataset (e.g., Issues, Events, Projects). b. Click the “Start First Import” Button to start syncing your Sentry dataset.

3. Set Up a Schedule

Scheduling regular data pulls ensures your Datagrid datasets remain up-to-date with the latest information from Sentry:

  1. Navigate to Sentry Dataset: a. Go to the left side panel and locate and click on the Sentry dataset you created.
  2. Schedule Settings: a. Click on the “...” on the top right of the dataset. b. Click on “Edit Pipeline” to edit your connector's name. c. Click the “Schedule” button on the right, beside the “Import Configuration” button.
  3. Configure Schedule: a. Set the desired frequency for data pulls (e.g., daily, weekly, monthly). b. Specify the time of day for the data pull to occur. c. Specify downtime if needed – when the sync should not happen. d. Click the “Update” button to update the new configuration.

2. Data Access

  • Issues
  • Events
  • Projects
  • Organizations
  • Releases
  • Users
  • Tags
  • Errors
  • Performance Monitoring Data
  • Dashboards

3. Use Cases

  • Error Tracking and Resolution: Use Datagrid to analyze Sentry's error tracking data to identify trends, prioritize issues, and improve the speed of error resolution.
  • Performance Monitoring: Integrate Sentry's performance monitoring data with other application data in Datagrid to identify performance bottlenecks, optimize application performance, and improve user experience.
  • Release Monitoring: Combine Sentry's release data with deployment and usage data in Datagrid to monitor the impact of new releases, identify regressions, and improve the release process.
  • User Impact Analysis: Use Datagrid to analyze Sentry's user data to understand the impact of errors and performance issues on users, prioritize issues based on user impact, and improve user satisfaction.
  • Root Cause Analysis: Integrate Sentry's error and performance data with other application data in Datagrid to investigate root causes, identify contributing factors, and implement corrective actions to prevent future issues.

4. FAQ

Q: What types of data can I import from Sentry into Datagrid?

  • A: You can import a wide range of data, including issues, events, projects, organizations, releases, users, tags, errors, performance monitoring data, and dashboards.

Q: How often can I schedule data pulls from Sentry?

  • A: You can schedule data pulls daily, weekly, or monthly, depending on your needs.

Q: What permissions are required to connect Sentry to Datagrid?

  • A: You need an active Sentry account with the necessary permissions to access the projects and data you want to import into Datagrid. Ensure you have the correct API key.

5. Support & Additional Resources