Can I integrate this with Prometheus and Grafana?

Absolutely. The skill includes specific Prometheus alert rules (YAML) and TypeScript code using the prom-client library to export PostHog metrics to your monitoring stack.

What metrics can I track with the PostHog Observability skill?

You can monitor event ingestion rates, feature flag evaluation latency, event volume by type, unique user counts (DAU), and API rate limit status.

How do I use this skill to fix slow feature flags?

The skill provides instrumentation patterns to measure evaluation duration and specifically alerts you if flags take longer than 200ms, often indicating that local evaluation is not properly configured.

Does this skill help with PostHog billing management?

Yes, it includes automated monitoring for event volume and provides alerts when your usage approaches the 1 million event free-tier limit or custom thresholds.

PostHog Observability

Name: PostHog Observability
Author: jeremylongshore

byjeremylongshore

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1,901

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분석 및 모니터링

Monitors PostHog integration health, event ingestion rates, and feature flag latency to ensure reliable product analytics and feature management.

The PostHog Observability skill provides a comprehensive toolkit for maintaining a healthy PostHog implementation. It allows developers to monitor critical signals such as event ingestion flow, feature flag evaluation speed, and API rate limit consumption. By providing ready-to-use HogQL queries for health checks, TypeScript instrumentation patterns for performance monitoring, and Prometheus alert rules, this skill helps teams detect instrumentation regressions and billing spikes before they impact the business. It is an essential companion for any team relying on PostHog for production feature management and user behavior tracking.

주요 기능

01Real-time event ingestion health checks using HogQL queries

02Feature flag evaluation latency instrumentation for Node.js/TypeScript

03Customizable dashboard queries for DAU, event volume, and ingestion freshness

04Pre-configured Prometheus alert rules for ingestion drops and capture errors

051,901 GitHub stars

06Automated billing volume tracking and free-tier threshold alerts

사용 사례

01Identifying slow feature flag evaluations that cause UI flicker or performance bottlenecks

02Managing SaaS costs by tracking monthly event volume against free-tier limits

03Detecting and alerting on sudden drops in event ingestion across applications

주요 기능

01Real-time event ingestion health checks using HogQL queries

02Feature flag evaluation latency instrumentation for Node.js/TypeScript

03Customizable dashboard queries for DAU, event volume, and ingestion freshness

04Pre-configured Prometheus alert rules for ingestion drops and capture errors

051,901 GitHub stars

06Automated billing volume tracking and free-tier threshold alerts

사용 사례

01Identifying slow feature flag evaluations that cause UI flicker or performance bottlenecks

02Managing SaaS costs by tracking monthly event volume against free-tier limits

03Detecting and alerting on sudden drops in event ingestion across applications