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Creating a S3 Bucket

Lab Details:

  1. This lab walks you through the steps to Create S3 Bucket..

  2. Duration: 20 minutes

  3. AWS Region: US East (N. Virginia) us-east-1

Introduction

What is S3?

  • S3 stands for Simple Storage Service.

  • It provides object storage through a web service interface.

  • Each object is stored as a file with its metadata included and is given an ID number.

  • Objects uploaded to S3 are stored in containers called Buckets, whose names are unique and they organize the Amazon S3 namespace at the highest level.

  • These buckets are region specific.

  • You can assign permissions to these buckets, in order to provide access or restrict data transaction.

  • Applications use this ID number to access an object.

  • Developers can access an object via a REST API.

  • Supports upload of objects.

  • Uses the same scalable storage infrastructure that Amazon.com uses to run its global e-commerce network.

  • Designed for storing online backup and archiving of data and applications on AWS.

  • It's mainly designed with the minimal features in order to create web-scale computing in an easy way.

  • Storage classes provided are:

    • Standard

    • Standard_IA i.e., Standard Infrequent Access

    • Intelligent_Tiering

    • OneZone_IA

    • Glacier

    • Deep_Archive

    • RRS i.e., Reduced Redundancy Storage (Not recommended by AWS)

  • Data access is provided through S3 console, which is a simple web-based interface.

  • Data stored can be either Public or Private based on user requirement.

  • Data stored can be encrypted.

  • We can define life-cycle policies which can help in automation of data transfer, retention and deletion.

  • Amazon Athena can be used to query S3 data as per demand.

Tasks:

  1. Log into AWS Management Console.

  2. Create S3 Bucket.

  3. Explore the created Bucket.

Architecture Diagram:



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