Amazon S3 Storage Service – S3 Guide

What Is Amazon S3? Amazon Simple Storage Service is the storage designed to make web-scale computing easier for the developers. It provides the developers access to the highly scalable, reliable, fast, affordable data storage infrastructure that Amazon uses to run its own global network of websites. This service tries to maximize profits to balance and to pass those advantages on to developers. Amazon S3 has a simple web services interface which one can use to store and retrieve the huge amount of data at any point in time globally on the web. It provides its customers the flexibility to manage data the way they want for cost optimization, access control, and compliance. The focus areas of Amazon S3 are (1) Buckets (2) Objects Uses: The best option for a wide variety of uses ranging from a simplistic storage repository for backup & recovery to main storage for most of the cloud-based applications today is Amazon S3. The following are the Use, (1) Backup & Recovery (2) Data Archiving (3) Big Data Analytics (4) Hybrid Cloud Storage (5) Hybrid Cloud Storage (6) Disaster Recovery

Advantages of Amazon S3

Focusing on simplicity and robustness Amazon S3 is built with a minimal feature. Following are few advantages of S3 service of Amazon. (1) Creating  Buckets (2) Storing of data in Buckets (3) Downloading the data (4) Granting Permissions (5) Standard interface – (REST and SOAP)

Amazon S3 Concepts

Here we will get to know about the key concepts and terminology required to understand how to use Amazon S3 effectively. (1) Buckets: A bucket is nothing but a container for objects stored in Amazon S3. Every object is held in a bucket. (2) Objects: Objects are stored in the buckets. Objects contain the values like key, Version id, Value and Metadata etc.. For object reference (3) Keys:  while creating the objects you have to specify the key name, which uniquely identified the object in the bucket. (4) Regions:  To decrease the data latency in any applications, AWS offering a regional endpoint to make your request. For configuring and reference go through Link. (5) Amazon S3 Data Consistency Model:  Data Consistency Model handles insert, update, and rewrite and delete the data in all the regions. For Data Consistency reference Benefits of Amazon S3 (1) Unmatched Durability, Reliability, & Scalability. (2) Most Comprehensive Security & Compliance Capabilities. (3) Query in Place. (4) Flexible Management. (5) Most Supported Platform with the Largest Ecosystem. (6) Easy, Flexible Data Transfer.

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Chandanakatta

Chandanakatta

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Hey there! I shoot some hoops when I’m not drowned in the books, sitting by the side of brooks.