What is the role of artificial intelligence and machine learning in cloud-based microservices management and optimization?

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what is microservices Informational

• How can you build microservices using serverless technologies? What are the benefits and drawbacks of using serverless for microservices?
• How do you monitor and manage the health and performance of your microservices across multiple cloud regions? What are the challenges of managing network connectivity and latency in a multi-cloud or hybrid cloud microservices deployment?
• What are the different deployment strategies for microservices? What are containers and how do they relate to microservices?
• How do you test the resilience of your microservices to network issues? What are the benefits and drawbacks of using a distributed cache for session management in microservices?
• What are some strategies for handling peak loads and traffic spikes?
• How has the concept of microservices evolved over time?
• What are the organizational changes required for a successful microservices adoption?
• When should you consider using microservices? When is monolithic architecture a better choice than microservices?
• What is the bulkhead pattern and how does it provide isolation?
• How do you foster a microservices culture within a development team? How do you define boundaries between microservices?