- Is Micrus designed to replace Laravel’s core features (like routing or middleware) or work alongside it?
- Micrus is built to extend Laravel rather than replace it. It focuses on microservices-specific concerns like service boundaries, inter-service messaging, and workflows while leveraging Laravel’s existing routing, middleware, and service container. Think of it as a specialized toolkit for splitting monolithic Laravel apps into services without rewriting core logic.
- Can I use Micrus in a pure Laravel monolith without microservices?
- Yes, but with caveats. Micrus is optimized for microservices architectures, so its full value emerges when you split your app into independent services. For monoliths, you might only need parts of it (e.g., message brokers or service discovery) and could face unnecessary complexity. Evaluate whether Laravel’s built-in tools (like queues or API resources) suffice for your use case.
- What Laravel versions does Micrus support, and are there PHP version requirements?
- Micrus targets modern Laravel (likely 8.x–10.x) but check its `composer.json` for exact versions. It may require PHP 8.1+ to align with Laravel 10+, though older PHP (e.g., 7.4) could work for legacy Laravel 7/8 apps. Always verify compatibility with your stack to avoid runtime conflicts.
- How does Micrus handle inter-service communication? Does it support HTTP, queues, or gRPC?
- Micrus prioritizes lightweight, Laravel-native communication like HTTP (via API contracts) and message queues (e.g., Laravel Queues). It avoids heavy protocols like gRPC to minimize overhead. For microservices, it abstracts service discovery and retries, but you’ll still need to configure Laravel’s HTTP clients or queue workers for production.
- Will Micrus conflict with Laravel’s service container or event system?
- Micrus is designed to integrate with Laravel’s container and events, not replace them. It extends these systems rather than duplicate functionality. However, if you use custom DI bindings or event listeners in both frameworks, conflicts *could* arise. Test in a staging environment before full adoption.
- Can I deploy Micrus services alongside Laravel using Docker or Kubernetes?
- Yes, Micrus assumes containerized deployments for microservices. It provides tooling for service registration, load balancing, and health checks—key for Kubernetes or Docker Swarm. However, you’ll need to configure Laravel’s own services (e.g., queues, caches) to work with Micrus’s service mesh, which may require additional orchestration.
- Are there alternatives to Micrus for Laravel microservices, like Lumen or Spatie’s packages?
- For Laravel microservices, consider Spatie’s API resource packages, Lumen (a micro-framework by Laravel’s creators), or Laravel’s built-in API tools. Micrus differs by offering a *package-driven* approach within Laravel, avoiding the need to switch frameworks. Compare its feature set (e.g., workflow orchestration) to Spatie’s modularity or Lumen’s minimalism.
- How do I test Micrus services in isolation or with Laravel?
- Micrus supports Laravel’s testing tools (Pest, PHPUnit) for unit and HTTP tests. For integration tests across services, use Laravel’s HTTP clients or mock Micrus’s service contracts. Test service discovery and retries with Docker Compose or Laravel’s `queue:work` command. Document your test strategy for hybrid Laravel/microservice setups.
- What’s the maintenance burden of using Micrus in production?
- Micrus adds complexity for monitoring, logging, and debugging across services. You’ll need to integrate Laravel’s Horizon (for queues) with Micrus’s service metrics, and set up centralized logging (e.g., ELK or Laravel’s Log Viewer). Plan for tooling like Prometheus for service health and consider Micrus’s GitLab activity to gauge long-term support.
- Can Micrus help with real-time features like WebSockets or Laravel Echo?
- Micrus doesn’t replace Laravel Echo or Pusher, but it can *orchestrate* real-time workflows across services. For example, you could use Micrus to route WebSocket events between a Laravel frontend and backend services. However, you’d still need to configure Echo’s broadcasting drivers (e.g., Redis) and handle service-specific event serialization.