Types of Storage on the AWS Platform
The AWS cloud platform offers a variety of storage solutions for storing, sharing, and accessing data over the web. The platform has something for every type of application, from object storage to relational databases. In this article, we will explore the different types of storage techniques associated with the AWS cloud platform and how they can be used to store data in various ways.
Object Storage, such as Amazon S3, is used to store large amounts of unstructured data, including photos, videos, audio files, and documents. It’s a great solution for applications that need to quickly access large amounts of data from the cloud without having to worry about managing it locally or transferring it from one server to another. If you are curious about equipping yourself with job-centric skills that gets you hired as an AWS cloud expert then joining the AWS Training in Hyderabad course program offered by Kelly Technologies would be an ideal choice.
Relational Database Storage enables you to easily create and manage relational databases using Amazon Relational Database Service (RDS). RDS supports popular relational databases, like MySQL and PostgreSQL, and can be used with other services on AWS for building applications that require complex queries or transactions.
File Storage provides a way to store files in the cloud using Amazon Elastic File System (EFS). This file system enables you to store and share large amounts of data between multiple EC2 instances over a secure connection. With EFS, you can quickly access your files, no matter where they are stored or who has access to them.
Block Storage provides low-level disk storage solutions that enable you to attach virtual disks to compute instances on AWS so that applications running on those instances have direct access to their disk space. This makes block storage incredibly useful when it comes to running scalable applications that need consistent performance from their disk drives at all times, even during heavy load periods.
Cloud Data Warehouse Solutions are specifically designed for analytics and data mining applications, which require quickly scanning through large amounts of stored information without impacting performance too much at scale-up timeframes due to its distributed architecture design. Amazon Redshift is one example of such a solution that helps organizations analyze their business operations more effectively by providing insights into customer trends, usage patterns, behavior analysis, and more.
Finally, Simple Storage Service (S3), Elastic Block Store (EBS), Elastic File System (EFS), and Glacier are some of the other popularly used services offered by AWS Cloud Platforms. Each has its own unique uses and advantages depending on the type and size of datasets your application requires. Snowball and Storage Gateway devices also provide hybrid solutions, enabling you to integrate your existing infrastructures with new ones, leveraging both physical and virtual devices along with cloud components seamlessly.
As businesses shift their operations to the cloud, it’s crucial to understand the various storage options on the AWS Cloud Platform to deploy efficient and reliable data storage. With numerous options available, it can be challenging for businesses to determine the best storage technique for their needs.