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Serverless is ideal for event-driven, scalable applications, while servers are suitable for complex, long-running tasks.
Use serverless for microservices, APIs, and real-time data processing
Use servers for databases, machine learning, and high-performance computing
Serverless reduces operational overhead and costs, while servers offer more control and customization
Combining serverless and servers can provide a hybrid arc...
To handle if a region is destroyed, implement a multi-region architecture with data replication and failover mechanisms.
Implement a multi-region architecture to distribute workload across multiple regions.
Replicate data across regions to ensure redundancy and availability.
Implement failover mechanisms to automatically redirect traffic to a healthy region in case of region failure.
Regularly test the failover process to ...
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