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In this video, we are going to learn how does Amazon S3 works?

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Amazon S3 is an object storage service offering scalability, data availability, security and performance.

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S3 provides to optimize cost, organize data and configure access controls to meet our business requirements

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with cost effective storage classes and easy to use management features.

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So how Amazon S3 works organizing, storing and retrieving data in Amazon S3, it is focusing on two

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key components.

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The first one is buckets, and the second one is objects, buckets and objects that work together to

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create storage system.

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In S3, it is very straightforward.

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A user creates a bucket, the bucket stores objects in the cloud.

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So let's start with the Amazon S3 objects.

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So we set that Amazon S3 is an object store service that stores data as objects within the buckets.

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Objects are data files, including documents, photos, videos, and any metadata they describe in the

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file.

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So each object has a key or the key name, which is the unique identifier for the object within the

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bucket.

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And if you look at the Amazon S3 buckets, so a bucket is a container for objects.

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Objects are saved in the buckets.

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In order to store data in Amazon S3, we have to first create a bucket and specify a bucket name and

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a region.

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Then we can upload our data into the buckets as objects in Amazon.

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S3 It is also important to know Amazon S3 buckets are globally unique.

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No other icon in the same region can have the same bucket names is the same bucket names.

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So if you continue to are looking Amazon S3 how it works, we can say that bucket and the objects are

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private and can be accessed only if you explicitly grant access permissions.

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We will give explicitly grant access permissions for the website deployments into the bucket.

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We will see in the next videos.

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But before that, you can use bucket policies and aid management policies and access control lists and

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S3 access points to manage these access of the bucket and object in S3.

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So we can create up to 100 buckets in each of our cloud icons with no limit on the number of the objects

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that we stored in the buckets.

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If needed, we can request and up to 1000 we can increase up to 1000 more buckets in the cloud.

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So when we create a bucket, we have the ability to choose the a region to store it in order to minimise

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costs and address latency concerns.

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It is best practice to select a region that is geographically close to us objects that reside in a bucket

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within the specific region, name in that region.

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And this should be closed as soon as possible.

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They also provide features that we can configure to support specific use cases.

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For example, we can use S3 versioning to keep multiple versions of an object in the same bucket.

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So this allows to store objects that are accidentally deleted or overwritten.