How does Serverless architecture handle concurrency?

How does Serverless architecture handle concurrency?

• A. It typically manages concurrency as part of the application
• B. The cloud provider imposes a fixed global cap
• C. There is no concurrency concept in serverless
• D. Concurrency is determined by the database

Answer: (A)

Concurrency in serverless is driven by automatic scaling of function instances as events arrive. The platform transparently runs many invocations in parallel, so your code must be written to handle that reality safely. This means keeping functions stateless, making operations idempotent, and carefully coordinating access to shared resources like databases or queues. In practice, you design the application to be concurrency-tolerant, while the platform provides the scaling capability. The reason this is the best choice is that it acknowledges how serverless works: the platform scales out to handle multiple simultaneous invocations, and the developer must ensure the application logic remains correct under parallel execution. The other statements aren’t accurate: there isn’t a fixed global cap that serverless imposes; concurrency is a real concept in serverless; and while the database can influence how you implement concurrency safeguards, it doesn’t determine overall concurrency for the entire serverless stack.

Concurrency in serverless is driven by automatic scaling of function instances as events arrive. The platform transparently runs many invocations in parallel, so your code must be written to handle that reality safely. This means keeping functions stateless, making operations idempotent, and carefully coordinating access to shared resources like databases or queues. In practice, you design the application to be concurrency-tolerant, while the platform provides the scaling capability.

The reason this is the best choice is that it acknowledges how serverless works: the platform scales out to handle multiple simultaneous invocations, and the developer must ensure the application logic remains correct under parallel execution. The other statements aren’t accurate: there isn’t a fixed global cap that serverless imposes; concurrency is a real concept in serverless; and while the database can influence how you implement concurrency safeguards, it doesn’t determine overall concurrency for the entire serverless stack.