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AWS Storage Service Where Users Can Select and Use the Storage they Want

AWS Storage Service allows users to create resources conveniently and quickly without initial investment or commitment, 

and to select and use the storage they want from a vast portfolio equipped with data storage, access, protection, and analysis capabilities.

Key Services 

01

Supports application source code storage
 and version management

02

Provides guidance for automatic application building and testing in client infrastructure environments

03

Supports running, stopping, and managing containers in clusters

04

Provides technical support for managing Kubernetes on AWS

Advantages

Easy Data Management

  • Provides almost unlimited scalability for easy storage and management of data
  • Offers block storage volumes for instances that can be expanded as needed

Enhanced Durability and Availability

  • Provides robust durability and automatically replicates data across multiple availability zones
  • Offers low-cost archive storage and guarantees high durability through data recovery options

Provides Optimized Storage Costs

  • Offers various storage classes to optimize costs according to data access patterns
  • Pays on-demand costs without initial investment

Convenient Data Analysis and Big Data Integration

  • Enables analysis by directly querying data using SQL
  • Easily performs data analysis by integrating with AWS's various DB services

Expected Benefits

Maximizes operational efficiency and enables focus on core business

Improves market responsiveness by rapidly deploying services through AWS's various management tools and automation features, and allows IT teams to focus on core tasks by freeing them from repetitive work

Prevents data loss through high availability and recovery capabilities and ensures stable service operation

Strengthens business continuity by solving database replication delay issues

Improves rapid decision-making and operational efficiency through data analysis and processing capabilities, and establishes data-driven strategies

Increases operational efficiency through centralized log management and derives strategic insights through processing large amounts of data


Minimizes operational costs and optimizes resources through automated management functions

Reduces fixed usage costs through competitive pricing policies and saves management costs and time through automation, allowing investment of more resources in core business

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