Does it include guidance for background job processing?

Yes, it features checklists for creating BullMQ processors, registering workers, and managing job registration in a worker-specific package.

How is observability integrated into this skill?

It guides users on using OpenTelemetry instrumentation, DataDog logging, and the traceException wrapper for consistent error handling and monitoring.

What backend technologies does this skill cover?

This skill supports a modern TypeScript stack including Next.js 14, tRPC, Express, BullMQ, Prisma (PostgreSQL), ClickHouse, and Redis.

How does this skill handle multi-tenant security?

It provides specific implementation patterns for tenant isolation using projectId filtering for both relational and analytics databases.

Langfuse Backend Development Guidelines

Name: Langfuse Backend Development Guidelines
Author: Activer007

byActiver007

API 개발

Implements professional backend architecture and development patterns for Langfuse's Next.js, tRPC, and BullMQ monorepo environment.

소개

This skill provides comprehensive guidance for building and maintaining the Langfuse backend, ensuring architectural consistency across tRPC procedures, REST APIs, and BullMQ queue processors. It enforces a strict layered architecture—separating transport layers from business services—while managing complex multi-tenant data isolation across PostgreSQL and ClickHouse. It is an essential tool for developers looking to implement robust observability, secure database access, and scalable background job processing within a TypeScript-based monorepo.

주요 기능

BullMQ queue processor and manager configuration guides
Layered architecture enforcement (Procedures/Workers → Services → DB)
Comprehensive observability patterns with OpenTelemetry and traceException
tRPC and public REST API implementation checklists
0 GitHub stars
Multi-tenant isolation patterns for PostgreSQL and ClickHouse

사용 사례

Developing type-safe tRPC routers and procedures for Next.js 14
Building scalable background workers and queue consumers with BullMQ
Implementing secure, multi-tenant analytics queries using ClickHouse

소개

주요 기능

BullMQ queue processor and manager configuration guides
Layered architecture enforcement (Procedures/Workers → Services → DB)
Comprehensive observability patterns with OpenTelemetry and traceException
tRPC and public REST API implementation checklists
0 GitHub stars
Multi-tenant isolation patterns for PostgreSQL and ClickHouse

사용 사례

Developing type-safe tRPC routers and procedures for Next.js 14
Building scalable background workers and queue consumers with BullMQ
Implementing secure, multi-tenant analytics queries using ClickHouse