How does this skill handle different message brokers?

It utilizes Dapr (Distributed Application Runtime) abstractions, allowing you to switch between Kafka, Redis, or Cloud Pub/Sub without changing your application code.

Can it help with error handling in messaging?

Definitely. The skill provides patterns for Dead Letter Queues (DLQ), retries with exponential backoff, and idempotent processing.

Does it provide code for event consistency?

Yes, it includes implementation patterns for the Transactional Outbox to ensure events are published only after successful database commits.

What event format does it recommend?

It promotes the industry-standard CloudEvents 1.0 specification for cross-platform interoperability and metadata consistency.

Event-Driven Architect

Name: Event-Driven Architect
Author: NaveedTechLab

byNaveedTechLab

API Development

Designs and implements scalable, loosely coupled event-driven cloud architectures using Kafka, Dapr, and microservice patterns.

About

The Event-Driven Architect skill empowers developers to build resilient distributed systems by leveraging asynchronous messaging and event-based workflows. It provides specialized guidance on implementing cloud-portable architectures using Dapr, designing standardized event schemas with CloudEvents, and applying critical reliability patterns like Transactional Outbox and Idempotent Consumers. This skill is ideal for teams transitioning to microservices or looking to enhance system scalability and fault tolerance through loose coupling and event sourcing mindsets.

Key Features

Transactional Outbox patterns for data consistency
Cloud-agnostic messaging abstraction using Dapr sidecars
Implementation of resilience patterns like Dead Letter Queues and Circuit Breakers
Idempotent consumer logic to handle duplicate events safely
Standardized event design following CloudEvents specifications
0 GitHub stars

Use Cases

Designing a distributed task management system with real-time notifications
Implementing cross-service data synchronization via event streams
Migrating monolithic applications to loosely coupled microservices

About

Key Features

Transactional Outbox patterns for data consistency
Cloud-agnostic messaging abstraction using Dapr sidecars
Implementation of resilience patterns like Dead Letter Queues and Circuit Breakers
Idempotent consumer logic to handle duplicate events safely
Standardized event design following CloudEvents specifications
0 GitHub stars

Use Cases

Designing a distributed task management system with real-time notifications
Implementing cross-service data synchronization via event streams
Migrating monolithic applications to loosely coupled microservices