Is this skill specific to a certain technology stack?

While the implementation examples are provided in C# for the EasyPlatform, the architectural patterns and integration logic are applicable to any distributed system.

Can I use this for initial data migration?

Yes, it includes specific patterns for full synchronization and recovery jobs to populate data in new target services or recover from system failures.

How does it handle data consistency issues?

The skill implements conflict resolution using timestamps and 'LastMessageSyncDate' to prevent race conditions and ensure older messages don't overwrite newer data.

Why does the skill discourage shared database views?

Shared database views violate service boundaries, creating tight coupling that makes services harder to maintain, scale, and evolve independently.

What communication patterns does this skill support?

It supports both asynchronous event-driven patterns via RabbitMQ (Entity Event Bus) and synchronous direct API calls with resilience strategies.

Cross-Service Integration Architect

Name: Cross-Service Integration Architect
Author: duc01226

byduc01226

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Cloud Infrastructure

Designs and implements robust service-to-service communication, data synchronization, and event-driven patterns for distributed systems.

About

This skill provides a comprehensive framework for managing the complexities of microservices communication within the EasyPlatform ecosystem. It offers standardized patterns for event-driven data synchronization using RabbitMQ, resilient API integrations, and clear service boundary definitions. By guiding developers through data ownership matrices and conflict resolution strategies, it ensures consistency and reliability across distributed services while strictly avoiding anti-patterns like direct database sharing or synchronous cross-service transactions.

Key Features

Standardized event-driven architecture using Entity Event Bus patterns
Automated data synchronization workflows with conflict resolution
Resilient direct API communication patterns with circuit breaker guidance
Detailed service boundary analysis and data ownership mapping
Comprehensive troubleshooting guides for message bus and data mismatch issues
3 GitHub stars

Use Cases

Implementing real-time data synchronization between distinct backend services
Migrating from monolithic structures to distributed, event-driven architectures
Troubleshooting message delivery failures and data consistency gaps in production

About

Key Features

Standardized event-driven architecture using Entity Event Bus patterns
Automated data synchronization workflows with conflict resolution
Resilient direct API communication patterns with circuit breaker guidance
Detailed service boundary analysis and data ownership mapping
Comprehensive troubleshooting guides for message bus and data mismatch issues
3 GitHub stars

Use Cases

Implementing real-time data synchronization between distinct backend services
Migrating from monolithic structures to distributed, event-driven architectures
Troubleshooting message delivery failures and data consistency gaps in production