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In this section, we are going to walk through with a measurement console for Amazon S3 so that means

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we can get started with Amazon S3 by working with the buckets and objects.

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A bucket is a container for objects.

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An object is a file and any metadata that describes that file.

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So in order to store an object in Amazon S3, we can create a bucket and then upload the object into

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the bucket.

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When the object is in the bucket, we can open it, download it and move it.

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So with Amazon S3, we pay only for what we use.

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If you are any Amazon S3 customer, you can get Amazon S3 for free with using the A visitor account.

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So we will follow the topics in here.

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You can see the image on the slide when working with S3 in the Amazon management console.

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We will follow these use cases.

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These are the create first S3 bucket.

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Upload an object to our bucket.

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Download an object and delete object.

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And the bucket you can see the image in here is you remember that every every services expose the APIs.

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For example, Amazon S3 has APIs that expose the create update bucket and update bucket without adding

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any object into bucket and delete object in the bucket and so on.

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So as you can see that we are as a user and client use the some commands to invoke these S3 APIs using

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the destination console, CLI, programmatic access and so on.

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So in this section, we will follow the management console to perform this create update bucket and

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update object into bucket, download object, delete object and buckets and so on.

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So these are the our main use cases that we will follow during the section Amazon S3, create a bucket

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and we will create object into bucket.

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And here you can see the bucket with two objects.

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So as you know that every aid will is services, we will examine every particular edible services with

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these vertical topics.

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For each edible services, we will have four main vertical part.

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The first part is the token information, which is the basic information, what is S3?

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And the second one is walkthrough with a measurement console to develop S3 with using a WS console.

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The third one is a developing with a WS SDK.

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We will develop with for the programmatic access interaction with the Amazon S3.

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And the last part, the fourth part is the hands will not be the real world use cases using the Amazon

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S3 These are the four main topics that we are going to handle almost all server services, by this way,

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we can cover for all aspects of any particular services.

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So if you come back to our slide, basically for Amazon S3, we have finished the first step, which

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is a theoretical, basic information.

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And now we are going to interact with Amazon S3 walkthrough with a measurement console.

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After finishing the walkthrough with a device management console, we will continue with the Amazon

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S3 for the developing with the SDK interactions.

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And after that we will see some hands on labs.

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So now let's start with the walkthrough, with the mission console, develop S3 and create S3 bucket

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and objects using the mission console.
