Does it support both Node.js and Python?

Yes, it provides implementation patterns and best practices for @sentry/node v8+ and sentry-sdk v2+.

How are Sentry environments isolated?

The skill uses unique DSNs for each environment and applies environment metadata tags for granular filtering within the Sentry dashboard.

How does this skill help with Sentry quota management?

It configures environment-specific sample rates, allowing 100% visibility in development while optimizing production data ingestion to save on costs.

Does this skill handle sensitive data?

Yes, it includes built-in logic for PII scrubbing and header filtering to ensure sensitive information like Authorization tokens are never sent to Sentry.

Sentry Multi-Environment Setup

Name: Sentry Multi-Environment Setup
Author: jeremylongshore

byjeremylongshore

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1,965

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Analytics & Monitoring

Configures Sentry across development, staging, and production environments with isolated DSNs, sample rates, and alert rules.

This skill provides a comprehensive framework for managing Sentry across multiple deployment stages, ensuring that development noise never impacts production metrics. It automates the setup of environment-specific configurations for both TypeScript and Python, covering everything from DSN isolation and tuned sample rates to PII scrubbing and environment-aware alert routing. It also includes integrated CI/CD release scripts to track deployments and upload source maps, providing full visibility into error origins across your entire delivery pipeline.

Key Features

01CI/CD release tracking and source map automation

02Environment-aware SDK initialization for Node.js and Python

03Configurable sampling rates and PII scrubbing per stage

041,965 GitHub stars

05Automated alert routing for PagerDuty and Slack

06Multi-environment DSN isolation and .env configuration

Use Cases

01Automating release tracking and deployment events in CI/CD pipelines

02Isolating development and staging errors from production dashboards

03Optimizing Sentry quota usage by adjusting sample rates per environment

Key Features

01CI/CD release tracking and source map automation

02Environment-aware SDK initialization for Node.js and Python

03Configurable sampling rates and PII scrubbing per stage

041,965 GitHub stars

05Automated alert routing for PagerDuty and Slack

06Multi-environment DSN isolation and .env configuration

Use Cases

01Automating release tracking and deployment events in CI/CD pipelines

02Isolating development and staging errors from production dashboards

03Optimizing Sentry quota usage by adjusting sample rates per environment