Explain Various object stores on cloud and advantage of S3

This recipe explains what Various object stores on cloud and advantage of S3

Recipe Objective - Explain Various object stores on the cloud and the advantages of S3

Object storage is the data storage architecture for large stores of unstructured data. It designates each piece of the data as an object, keeps it in a separate storehouse and further bundles it with the metadata & a unique identifier for easy access and retrieval. The Objects can be stored on-premises but mostly are stored in the cloud making them easily accessible from anywhere. Due to the object storage’s scale-out capabilities, there are no limits to the scalability and it has a less price to store large data volumes. Object storage helps break down the silos by providing massively scalable, cost-effective storage to store any type of data in its native format. So, With Amazon Web Services object storage solutions like Amazon Simple Storage Service (Amazon S3) and the Amazon Glacier, the management of storage in one place can be done with an easy-to-use application interface. The policies can be used to optimize the storage costs, tiering between different storage classes automatically. The Amazon Web Services(AWS) makes the storage easier to use to perform the analysis, gain perfect insights and make better decisions easier and faster.

ETL Orchestration on AWS using Glue and Step Functions

System Requirements

  • Any Operating System(Mac, Windows, Linux)

This recipe explains are types of objects stored on the cloud(AWS) and the advantages of S3.

Various Object Stores on Cloud(AWS)

Amazon Web Services offers two Cloud Object Stores that are Amazon Simple Storage Service(S3) and Amazon Glacier. The following are defined as:

AWS-S3

    • Amazon Simple Storage Service (Amazon S3) is a widely used object storage service by industry leaders and offers industry-leading scalability, security, data availability, and performance. Customers of all sizes and industries can store and protect any amount of data for virtually any use case such as data lakes, cloud-native applications and mobile apps. Also, with the cost-effective storage classes and easy-to-use management features, the costs can be optimized, data can be organized and further configure fine-tuned access controls to meet specific business, organizational, and compliance requirements. Amazon S3 is used to build data lakes which involves running big data analytics, artificial intelligence (AI), machine learning (ML) and high-performance computing (HPC) applications to unlock the data insights. Amazon S3 offers backup and restore critical data facility which involves meeting the Recovery Time Objectives (RTO), Recovery Point Objectives (RPO), and the compliance requirements with the S3’s robust replication features. Amazon S3 archives data at the lowest cost which involves moving on-premises archives to the low-cost Amazon S3 Glacier and Amazon S3 Glacier Deep Archive storage classes to further eliminate operational complexities.

AWS-Glacier

  • The Amazon S3 Glacier is a widely used object storage service and is purpose-built for data archiving, providing the highest performance, most retrieval flexibility, and the lowest cost archive storage in the cloud. All the AWS S3 Glacier storage classes provide virtually unlimited scalability and are designed for 99.99% of the data durability. The AWS S3 Glacier storage classes deliver options for the fastest access to the archive data and the lowest-cost archive storage in the cloud. Amazon Glacier offers retrievals as quick as in milliseconds which involves providing retrieval options from milliseconds to hours to fit the performance needs. The S3 Glacier Instant Retrieval storage class delivers milliseconds retrieval for archives that need immediate access, such as medical images or news media assets. Amazon Glacier offers Unmatched durability and unmatched scalability in which data is redundantly stored across the multiple Availability Zones which are physically separated within an AWS Region.

Advantages of Amazon Simple Storage Service(S3)

Amazon S3 is a widely and mostly used Storage service of Amazon. The following are the advantages that S3 offers:

  • Low Cost: In the Amazon Simple Storage Service(S3), the user only pay for the storage used which in itself is a very low price equivalent to $0.022 / GB and ~$0.0125 / GB for the infrequent access. It can also define policies to migrate the data automatically to the infrequent access which further reduces the cost as Amazon Glacier is even cheaper( ~$0.004 / GB).
  • All-time Availability: The Amazon Simple Storage Service(S3) gives every user, its service access to the same highly scalable, reliable, fast, inexpensive data storage infrastructure that Amazon uses to run its global network of websites. Amazon S3 Standard is designed for 99.99% availability and Standard – IA is designed for 99.9% availability. Both are backed by Amazon S3 Service Level Agreement which is strictly followed by Amazon.
  • Reliable Security: When Amazon Simple Storage Service(S3) buckets are created, Amazon S3 buckets are usable only by the identity which created them (IAM policy grants are the exception). The access permissions for each file, each bucket, or via IAM(Identity access management) can be set which provides complete control over how, where and by whom the data can be frequently accessed. So, with this set of rules and permissions, no unauthorized can access the data stored in Amazon S3.
  • Ease of Migration: With Amazon Simple Storage Service(S3), multiple options (rsync, S3 command-line interface and Glacier command-line interface) is available for the Cloud Data Migration which is cost-effective and it is very simple to transfer a large amount of data to Amazon S3 or out of Amazon S3. The Amazon S3 Storage also provides the option to import or export the data to any physical device or on any network to its users.
  • The simplicity of Management: The Amazon Simple Storage Service(S3) has a very user-friendly web interface that takes out the usual hard work of maintaining security, optimising storage classes and managing the data transfer most properly. The Amazon S3 own lifecycle policy can be defined, define replication rules and configured the Amazon S3 inventory by users. The Amazon S3 also allows users to configure request metrics and storage classes analysis with many filters to have a better look at your storage.

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