So, no servers?
Yeah, I checked and there are definitely no servers.
Well…the cloud service providers do need servers to host and run the code, but we don’t have to worry about it. Which operating system to use, how and when to run the instances, the scalability, and all the architecture is managed by the provider. 
But that doesn’t mean there’s no management at all. It’s a common misconception that in a serverless paradigm, we don’t have to care about monitoring, testing, securing, and other details that we are used to managing in other paradigms. So let’s explore the main characteristics that we need to take in consideration when building a serverless solution.
First, why serverless?
One of the great advantages of serverless is that you only pay for what you use. This is commonly known as “zero-scale” which means that when you don’t use it, the function can be reduced down to zero replicas so it stops consuming resources — not only network I/O, but also CPU and RAM — and then brought back to the required amount of replicas when it is needed.
The trigger of a function on an AWS Lambda can be an API gateway event, a modification on a DynamoDB table or even a modification on an S3 file as defined in What Are AWS Lambda Triggers?  But to really save money on serverless, you need to take into consideration all of the services that a Lambda needs to work. Serverless architecture provides many advantages, but it also introduces new challenges. In this article, we’ll provide best practices when building a serverless solution.
To deep dive into building, deploying, and managing the serverless framework, check out Cloud Academy’s Serverless Training Library. It’s loaded with content and hands-on labs to give you the practical experience you need to integrate serverless architecture into your

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