Amazon (S3)

Amazon (S3)

1. S3 Concepts

   • Buckets
     • Container for objects stored in Amazon s3 example URL: http://johnsmith.s3.amazonaws.com/photos/puppy.jpg Serve several purposes: organise name space, identify the account responsible for storage data transfer charges, play a role in access control  
     • Bucket Policies
       • Bucket policies provide centralized access control to buckets and objects based on a variety of conditions, including Amazon S3 operations, requesters, resources, and aspects of the request (e.g., IP address). The policies are expressed in our access policy language and enable centralized management of permissions. The permissions attached to a bucket apply to all of the objects in that bucket.
   • Objects
     • fundamental entities stored in Amazon s3 consist of object data and metadata uniquely identified within a bucket by a key (name) and a version id
   • keys
     • Unique identifier for an object within a bucket Every object in a bucket has exactly one key - cause the combination of a bucket, key and versioning uniquely identify each object.
   • Regions
   • S3 Data Consistency Model

2. s3 Features

   • Storage Classes
     • Different range of storage classes for different use cases
     • Standard
       • Frequently Accessed Data Durability: 99.999999999% Availability: 99.99% AZ: >=3
     • Standard_IA
       • long-loived, infrequently accessed data Durability: 99.999999999% Availability: 99.9% AZ: >=3 Min Storage: 30days
     • OneZone-IA
       • Long Lived, infrequently accessed, non critical data Durability: 99.999999999% Availability: 99.5% Az: 1 Min Storage: 30 Days
     • Glacier
       • Long-term data archiving with retrieval times ranging from minutes to hours Durability: 99.999999999% Availability: 99.99% Az: 3 Min Storage: 90 Days
   • Identlty & Access Management (IAM)
     • To control the type of access a user or group of users has to a specific bucket.
     • Access Control Lists
     • Versioning
     • Operations