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Features of Amazon EBS

Identify Your Technical Support by Choosing an Ideal Companion

Amazon EBS adds elasticity needed to avoid downtime

Amazon EBS is essential for customers, who needs to keep applications online safe for a long time. It is helpful to focus on the cloud security online. The command line can help to change the settings automatically. It can save money and time and improves the performance skills. This will balance performance and avoid downtime. The durable block level storage performs excellent and you can select the types of elastic Block store (EBS).

  • Amazon EBS volumes rely on traditional storage and also have the accessibility to cold data with less cost.
  • This gives high performance with top notch quality in saving online documents with cloud computing security relevantly.
  • This has the highest volume storage capacity and quick data accessibility process to the customers.
  • Amazon EBS is recommended for long term persistence to the buyers. This is best suits for the reading and performing the database online.
  • This offers you to create manage and form the database with encryption process.
  • This will ensure to help the application setting and avoid downtime issues.

Salient Features of Amazon EBS

This feature has the ability to change the size of the storage capacity. However, when you use a new version of app it can avoid the downtime. To achieve the goal of your target, it is essential to increase the deployment. This feature helps to update your application versions. Resize the hard disc to slow down the downtime. It is essential to avoid downtime in Amazon EBS, because for its efficient performance of storing data. It adds more elasticity for keeping data. You can get a outgrow volume of process, that will take less time. It is essential to avoid the downtime for a quicker process. This will able to open a source of cloud computing.

About Abhay Singh

7 + years of expertise of Cloud Platform(AWS) with Amazon EC2, Amazon S3, Amazon RDS, VPC, IAM, Amazon ELB, Scaling, CloudFront, CDN, CloudWatch, SNS, SQS, SES and other vital AWS services. Understand Infrastructure requirements, and propose design, and setup of the scalable and cost effective applications. Implement cost control strategies yet keeping at par performance. Configure High Availability Hadoop big data ecosystem, Teradata, HP Vertica, HDP, Cloudera on AWS, IBM cloud & other cloud services. Infrastructure Automation using Terraform, Ansible and Horton Cloud Break setups. 2+ Years of development experience with Big Data Hadoop cluster, Hive, Pig, Talend ETL Platforms, Apache Nifi. Familiar with data architecture including data ingestion pipeline design, Hadoop information architecture, data modeling, and data mining, machine learning, and advanced data processing. Experience at optimizing ETL workflows. Good knowledge of database concepts including High Availability, Fault Tolerance, Scalability, System, and Software Architecture, Security and IT infrastructure.

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