PostHog + Convex: Analytics, Errors & Feature Flags

The integration of PostHog with Convex provides two distinct paths for enhancing app analytics and observability: infrastructure-level log streaming and error reporting, and product-level event capturing with the PostHog Convex component. Log streaming, which requires a paid Convex plan, offers insight into backend operations by tracking function execution and errors, while the PostHog component, accessible on a free plan, allows for tracking user interactions and utilizing feature flags. The setup of these integrations, detailed in the guide, is designed to ensure that teams can efficiently capture the data they need without unnecessary complexity, with each path serving different analytical needs. The inclusion of AI and LLM analytics through PostHog further enriches the data insights by capturing traces, latency, token usage, and cost, making it valuable for teams scaling AI features. By understanding the specific needs of their projects, teams can choose the appropriate path or combine both to gain comprehensive insights into both infrastructure and user behavior.

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