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Cloud computing services

  • Words: 3055

Published: May 29, 2024

While several intriguing smaller cloud service providers are out there, the market is today dominated by a few large manufacturers preparing for public cloud adoption. The three most popular cloud service companies are almost generally acknowledged. Cloud computing services such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform have become household names in the fifteen years since its launch in 2006. While Amazon Web Services (AWS) continues to be the industry leader in size, scope, and revenue, Microsoft Azure and Google Cloud are growing at double-digit rates each year. These systems lack the same processing, networking, and storage capabilities despite commercial dominance.

Amazon Web Services (AWS)

Amazon Web Services (AWS) is better tailored to Amazon Elastic Compute Cloud (EC2) applications (EC2). Specific to its EC2 applications, Amazon Elastic Block Storage (EBS) provides block storage with low latency and high availability. Big data analytics, NoSQL databases, and warehousing database applications are all examples of this type of software. Snapshots, rotating disks, encryption options, and security permissions are some of the other features of AWS products. A further AWS offering is the Elastic File System (EFS). Media processing, analytics, web services, content management, and container storage are some of the use cases for which EFS provides a file system interface. Cloud bursting is possible because EC2 can run on both cloud servers and on-premises hardware to process several simultaneous workloads. A third Amazon Web Services offering is S3 (S3). S3 is meant to store unstructured data in the cloud as objects. This kind of object storing works well for programs that don't require as much processing power. The S3 storage service is exceptional due to its 11-nine durability and scalability, which extends to objects in the trillions. In addition to storing data from IoT devices, websites, and videos, S3 is used for archiving, backing up, analyzing, and warehousing business information. The S3 product also has capabilities that make it possible to encrypt data using various methods that align with the strict privacy standards set by the European Union and the United States. Amazon Glacier is the final product offered by AWS. Glacier on Amazon is used to store data that is rarely accessed and is not expected to be updated (Backes et al., 2018). AWS's services enable it to restore massive amounts of data in less than three hours inside the regions it supports.

MICROSOFT AZURE

Among its numerous characteristics is blob storage, which is a type of object storage. The term "blob storage container" refers to data blobs created by users within their storage accounts. For cloud or on-premises storage, file serving, backup, streaming video or music, cloud or local analytics, and disaster recovery, use this product (SMB). Volumes and a wide range of other applications are supported by all three major operating systems, Linux, Mac OS X, and Windows. Active Directory, a cloud directory service, and Azure Disk, a cloud file storage service, are both available on Microsoft Azure. Finally, the VM's performance is not limited by Microsoft Azure features, and three tiers of VM performance are available across Azure Disk storage: standard SSD, PREMIUM SSD, and Standard HDD (Antu et al. 2021).

Google Cloud Platform

Google Cloud's three core services are Persistent Disks for block storage, Filestore for network file storage, and Cloud Storage for object storage. These services are essential to the platform and serve as the foundation for the remainder of the Google Cloud services and, by extension, your systems. NetApp Cloud Volumes ONTAP is now available in the Google Cloud, allowing NetApp users to take advantage of this rapidly developing cloud platform. Let's take a deeper look to see  what these  Google Cloud  storage options are useful for and  how they compare. Google Cloud Storage is the name given to Google Cloud's object storage service. Object versioning and fine-grained permissions (at the object or bucket level) are supplied as standard, simplifying development and lowering running expenses (Hunter & Porter, S. 2018). Google Cloud Storage serves as the backbone for several services.

 

AWS

Azure

GCP

Features

1. Computing Solutions for storing

  1. Connecting Apps to the Cloud
  2. Analyses and
  3. automated learning
  4. Effectiveness Aids
  5. Management and development instruments
  1. Software architecture in the cloud
  2. Techniques based on blockchain
  3. Predictive Analytics
  4. Integrating all IoT devices
  5. Attributes of DevOps

1. Controlling productivity

Two: Organizing and Keeping Track of Information

  1. CaaS-based app creation
  2. Artificial intelligence (AI) and machine learning engines
  3. Analytics for business

Advantages

  1. It is compatible with macOS and other widely used operating systems (unlike other providers)
  2. A wide variety of available options
  3. The ever- increasing variety of available services
  4. Ripeness and accessibility
  5. able to withstand a great deal of stress without collapsing under the weight of its users or resources
  6. Launching is a breeze, the number
  1. Wide availability
  2. Intuitive configuration with the Microsoft family of software 3.Consumers of Microsoft's cloud services are eligible for price reductions on service contracts. 4.Applications precompiled for multiple languages (Java, Python,.NET, and PHP) 5.Affordable rates for use "on demand."

6. Reliability through several backups to prevent service interruptions

  1. superior scalability
  2. Easy installation and configuration
  3. The usage of widely-used programming languages, such as Java and Python 4. Generous long-term use discounts

5. Effective data-load balancing and quick reaction times

Disadvantages

11. Extremely high

price when compared to similar options

  1. Inadequate record- keeping
  2. Challenges in

1: It doesn't have any fancy extras.

2. There is a

 

 

  1. Extra costs for fundamental amenities
  2. There are supplementary charges for technical assistance provided to customers.
  3. Caps on resources
  4. Steep learning curve the following launch

Network Management, According to Reports

  1. It has been argued that learning is more complicated than comparable systems.
  2. The service's design may be less polished than rival offerings.
  3. A few users have experienced difficulties when contacting technical support.

reduction in the variety of characteristics

3. There are fewer services available.

(4) Fewer data centers throughout the world

References

  • Hunter, T., & Porter, S. (2018). Google Cloud Platform for developers: build highly scalable cloud solutions with the power of Google Cloud Platform. Packt Publishing Ltd.
  • Backes, J., Bolignano, P., Cook, B., Dodge, C., Gacek, A., Luckow, K., ... & Varming, C. (2018, October). Semantic-based automated reasoning for AWS access policies using SMT. In 2018 Formal Methods in Computer-Aided Design (FMCAD) (pp. 1-9). IEEE.
  • Antu, A. D., Kumar, A., Kelley, R., & Xie, B. (2021, December). Comparative Analysis of Cloud Storage Options for Diverse Application Requirements. In International Conference on Cloud Computing (pp. 75-96). Springer, Cham.

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