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