Explain the features of Amazon Elastic Block Storage

This recipe explains what the features of Amazon Elastic Block Storage

Recipe Objective - Explain the features of Amazon Elastic Block Storage?

The Amazon Elastic Block Store (EBS) is widely used and is defined as a service that provides raw block-level storage that can be attached to Amazon EC2 instances and is used by the Amazon Relational Database Service(RDS). The Amazon Elastic Block Store provides a range of options for storage performance and cost. These options are further divided into two major categories: SSD-backed storage for the transactional workloads such as boot volumes (performance depends primarily on the IOPS) and databases and disk-backed storage for the throughput intensive workloads for example MapReduce and log processing (performance depends primarily on the MB/s). Amazon Elastic Block Store (Amazon EBS) is also defined as an easy-to-use, scalable and high-performance block-storage service that is designed for the Amazon Elastic Compute Cloud (Amazon EC2). Amazin EBS helps in protecting against failures with 99.99% availability including the replication within the Availability Zone(AZs) and the 99.99% durability with io2 Block Express volumes.

Benefits of Amazon Elastic Block Storage

  • The Amazon Elastic Block Storage provides consistency with Low latency performance. It provides a Backup facility along with innovation and restoration. It provides an option to modify scalability with up and down both. Further, it provides Location Flexibility and gives Excellent Performance. It is coined as Reliable and secure storage. Amazon Elastic Block Storage is Scalable and is further innovative.

System Requirements

  • Any Operating System(Mac, Windows, Linux)

This recipe explains Amazon Elastic Block Storage and Features of Amazon Elastic Block Storage.

Features of Amazon Elastic Block Storage

    • It provides the High-Performance Database.

Amazon Elastic Block Storage creates the storage volume and further attaches them to the Amazon EC2. After the attachment, the user is allowed to create the file system to run a database. Also, the AWS EC2 introduces a variety of databases as per the need of the user to maintain the cost and requirement of the user. Further, For security purposes, these are placed in the special availability zone to protect data from the failure of the single component.

    • It provides Encryption.

Amazon Elastic Block Storage encryption offers the encryption of EBS data volumes, boot volumes, and snapshots that removes the need to build and manage the secure key infrastructure. The encryption occurs on servers that host EC2 instances. Thus providing encryption of data as it moves between the EC2 instances and EBS. Amazon EC2 is integrated with the AWS Identity and Access Management(IAM) which enables access control to the Amazon EBS volumes for security reasons.

    • It helps in Managing Access.

In Amazon Elastic Block Storage, the Amazon-managed key and the keys created by the user to provide the security to the data EBS encryption enables the data at the rest security by encrypting the data volumes, boot volumes, and the snapshots. Further, the Access management is done with the help of IAM which is the feature of the AWS account offered at no additional charge. Also, the user will charge only for the use of other AWS services.

    • It provides the Amazon Elastic Block Storage Snapshots.

Amazon Elastic Block Storage offers point-in-time snapshots of EBS volumes for long-term durability. They are further backed up to the Amazon S3. Amazon EBS Snapshots are simple and automated. Further Amazon EBS Snapshots are automatically saved to the Amazon Simple Storage Service (Amazon S3) for long-term retention. Also, AWS further simplifies the lifecycle management of users snapshots through the integration with the DLM which further allows users to create policies so that users can automate multiple tasks including creation, deletion, retention, and sharing of the snapshots.

    • It provides Elastic Volumes.

Amazon Elastic Block offers Elastic Volumes which allows the user to create storage and attach them to Amazon EC2. The Elastic Volume dynamically increases capacity and tune performances. It works with no downtime or performance impact.

What Users are saying..

profile image

Gautam Vermani

Data Consultant at Confidential
linkedin profile url

Having worked in the field of Data Science, I wanted to explore how I can implement projects in other domains, So I thought of connecting with ProjectPro. A project that helped me absorb this topic... Read More

Relevant Projects

Build a big data pipeline with AWS Quicksight, Druid, and Hive
Use the dataset on aviation for analytics to simulate a complex real-world big data pipeline based on messaging with AWS Quicksight, Druid, NiFi, Kafka, and Hive.

Project-Driven Approach to PySpark Partitioning Best Practices
In this Big Data Project, you will learn to implement PySpark Partitioning Best Practices.

Web Server Log Processing using Hadoop in Azure
In this big data project, you will use Hadoop, Flume, Spark and Hive to process the Web Server logs dataset to glean more insights on the log data.

Learn Efficient Multi-Source Data Processing with Talend ETL
In this Talend ETL Project , you will create a multi-source ETL Pipeline to load data from multiple sources such as MySQL Database, Azure Database, and API to Snowflake cloud using Talend Jobs.

Real-Time Streaming of Twitter Sentiments AWS EC2 NiFi
Learn to perform 1) Twitter Sentiment Analysis using Spark Streaming, NiFi and Kafka, and 2) Build an Interactive Data Visualization for the analysis using Python Plotly.

Implementing Slow Changing Dimensions in a Data Warehouse using Hive and Spark
Hive Project- Understand the various types of SCDs and implement these slowly changing dimesnsion in Hadoop Hive and Spark.

Migration of MySQL Databases to Cloud AWS using AWS DMS
IoT-based Data Migration Project using AWS DMS and Aurora Postgres aims to migrate real-time IoT-based data from an MySQL database to the AWS cloud.

Streaming Data Pipeline using Spark, HBase and Phoenix
Build a Real-Time Streaming Data Pipeline for an application that monitors oil wells using Apache Spark, HBase and Apache Phoenix .

Build Streaming Data Pipeline using Azure Stream Analytics
In this Azure Data Engineering Project, you will learn how to build a real-time streaming platform using Azure Stream Analytics, Azure Event Hub, and Azure SQL database.

Databricks Data Lineage and Replication Management
Databricks Project on data lineage and replication management to help you optimize your data management practices | ProjectPro