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‫So here is a short lecture

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‫on real-time logs in CloudFront.

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‫So it's possible for you to get all the requests

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‫that are received by CloudFront to be sent in real time

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‫to a Kinesis Data Stream.

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‫The goal of this is, for example, to monitor, analyze,

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‫and take actions based on content delivery performance.

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‫So just to give you an overview,

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‫the users are going to do a lot of requests into CloudFront

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‫and then if you enable the real-time logs,

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‫all these requests are going to be logged into

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‫a Kinesis Data Stream.

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‫And then, for example,

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‫you can use a Lambda function to process these records

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‫from your Kinesis Data Stream.

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‫If you need to do near real-time processing,

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‫you will do the exact same first part,

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‫because CloudFront can only send to Kinesis Data Stream,

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‫but then you would use Kinesis Data Firehose

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‫to process these records by batches

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‫and maybe send them into Amazon S3 or Open Search,

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‫or whatever destination you may have in mind.

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‫So this allows you to choose, as well, the sampling rate,

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‫which is the percentage of the request you want to receive

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‫in your Kinesis Data Stream.

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‫Because if you have a very high traffic type of API

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‫or endpoint, you may not want to have all requests in there,

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‫just a sample.

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‫And also, you can specify which fields

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‫and which cache behaviors or path patterns

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‫you want to have access to in your Kinesis Data Stream.

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‫So for example, you say, "Hey, I only wanna have

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‫(indistinct) slash images type of cache behavior,

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‫because I just wanna see the request done

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‫to this path specifically."

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‫Okay, that's it for this lecture.

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‫I hope you liked it and I will see you in the next lecture.