Artius IT AWS S3 (3)

Artius IT AWS S3

Amazon S3 Overview

Amazon Web Services S3 resource is scalable, available, secure, efficient, “any kind” of object storage in the cloud. Internet-of-Things (IoT) devices, big data analytics, archived data, static web hosting, and a wide range of other use cases are supported by S3. S3 boasts 11 9’s of availability. That means data may get lost once in a couple of millennia. Data is safer and more efficient with S3. Data is also more readily available and scalable with S3.

S3 is the best in performance when it comes to scalability, availability, and durability. Scaling is agile and based off of a consumption model with 11 9’s of durability. This is because S3 is redundant, highly available, and fault-tolerant.  S3 offers cost-optimized storage to meet different use cases. There is smart analytics on which objects should be stored in which class in order to save and money. All of this is automated and fully managed. Security is built-in to ensure that companies are compliant and can meet auditing requirements.  Encryption and management tools help improve computing power through resources like AWS Macie, where S3 alerts developers of sensitive information and notices strange access requests. Compliance regulations like PCI-DSS, HIPPA/HITECH, FedRAMP, EU Data Protection Directive, FISMA, etc. are supported in S3.

Data management can be fine-tuned through the ability of S3 to classify, manage, and report data. Developers can program lifecycle policies in S3 in order for objects to have a period of time to live. S3 Object Lock protects you from accidentally deleting your data. S3 Inventory gives a view of metadata and encryption. S3 Batch Operations allows customers to run functions on billions of objects simultaneously or step-by-step.  S3 integrates with AWS Lambda functions to log activities, define alerts, and automate workflows. Services for in-place requests are available, like Athena, Redshift Spectrum, S3 Select, and other partner networks, are all available for use. Athena uses common SQL expressions to ask for information from databases. Data across different warehouses and S3 resources are analyzed through Redshift Spectrum. S3 Select allows requests to be made concerning subsets of object metadata in a way that improves the performance by 400%.  

A large network of cloud storage providers is connected to AWS S3. This is called the Amazon Partner Network (APN). The APN is where developers can get consulting from over 250 cloud service providers. Developers can purchase solutions through the AWS market place. These solutions come from APN merchants in the AWS Marketplace and are able to completely integrate with S3.

The workflow of AWS S3 Batch Operations can run numerous requests across different buckets at once. An Amazon S3 inventory report targets objects. These objects can be run from a template or supplied by the developer. An API call is selected from the management console and then the call gets made across objects. Common API calls are functions like copying objects, replacing tag sets, or restoring archived data. Complex functions can video transcoding can be run through AWS Lambda. Status updates of important milestones in a batch operation’s lifecycle can be sent to developers as well.  Companies and organizations can use batch operations to do a large dump of archivable-data. A hybrid architecture is also easier because of the ability to run S3 Batch operations. Amazon Elastic File Store (EFS) and Amazon Elastic Block Store (EBS) extend the resiliency of on-premises centers. Since complex functions are executable on AWS S3 Batch, the ability to meet compliance regulations can be written into an operational request. Developers can implement a hybrid-type of storage by sending backups of on-prem data to AWS S3.

Disaster recovery builds a better network by preplanning reactions to server failure.  S3 offers features like cross-region replication and archiving. Cross region replication is the ability to reproduce your data in a different region so that a massive failure in one region won’t destroy the data permanently. Archiving data is a good disaster recovery practice because historical data can be saved in an orderly and cost-optimized manner.  Information that is not frequently accessed gets rolled to cheaper databases. It takes anywhere from 2 minutes to 12 hours to retrieve information that is archived in S3. The severity of the information needed is what drives the price of retrieving it, but it is still reassuring to know that data will “always” be there. The confidence of S3 cloud storage is 9.99999999999 (11 9’s) of durability.  

Database administrators can analyze lakes of data. In place queries, analytics, and machine learning are applicable to information through ther resources AWS Data Lakes and AWS Data Lake Formation.  Configuring each S3 resource is quick and scalable, and billing is done by consumption.

AWS S3 seamlessly integrates with on-prem centers for the organizations that have to adopt a cloud hybrid storage. AWS Storage Gateway and DataSync, as well as third-party APN providers, make it possible for small to large companies to easily run mobile and internet-based apps.  AWS DataSync offers automated data transfer that is 10 times faster than any open source tool. Developers can upload any amount of information and access it anywhere. S3 makes it easier for developers to reach more end users with their applications. Airbnb, Netflix, Finra, and GE Healthcare are a couple of companies that use AWS S3.


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