What are the performance differences between traditional and serverless architectures?

What are the performance differences between traditional and serverless architectures?

Traditional architectures often require dedicated servers, which can lead to underutilization and higher costs. Serverless architectures, on the other hand, scale automatically and can handle varying loads more efficiently.

How does latency compare between the two?

Latency in traditional setups can be higher due to fixed resources, while serverless can reduce latency by scaling functions closer to the user.

Are there any specific use cases where one is better than the other?

Yes, traditional architectures are often better for applications with predictable loads, while serverless is ideal for variable workloads or event-driven applications.

What about cost efficiency?

Serverless can be more cost-efficient for sporadic workloads since you only pay for what you use, whereas traditional setups may incur costs even when idle.

Can you give examples of popular serverless platforms?

Sure! Popular serverless platforms include AWS Lambda, Google Cloud Functions, and Azure Functions.