What are the differences between Lambda Architecture and Microservices?
Lambda Architecture is a data processing architecture that combines batch and real-time processing, while Microservices is an architectural style that structures an application as a collection of loosely coupled services.
Can you explain how they handle data differently?
Sure! Lambda Architecture processes data in batches for historical analysis and in real-time for immediate insights, whereas Microservices typically handle data in a more decentralized manner, with each service managing its own data.
Which one is better for scalability?
Microservices are generally considered better for scalability because they allow individual services to be scaled independently based on demand, while Lambda Architecture can be more complex to scale due to its dual processing layers.
What are some use cases for each?
Lambda Architecture is great for big data applications needing both real-time and batch processing, while Microservices are ideal for applications requiring rapid development and deployment, like e-commerce platforms.
Are there any downsides to using Microservices?
Yes, Microservices can introduce complexity in terms of service management, inter-service communication, and data consistency, which can be challenging to handle.
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