Cloud Platform Comparison: AWS Elastic Beanstalk and Google Cloud

This report provides a comparative analysis of two leading Platform as a Service (PaaS) providers: AWS Elastic Beanstalk and Google Cloud Platform. The report begins by highlighting the benefits of PaaS for business operations, emphasizing its role in simplifying application development and management. It then compares the two platforms across several key criteria, including ease of application environment creation, service availability, security features, cost models, and elasticity. The analysis reveals that while both platforms offer robust features, AWS Elastic Beanstalk is recommended due to its superior features, despite its higher cost. The report concludes by summarizing the advantages of PaaS solutions for businesses and emphasizes the effectiveness of AWS Elastic Beanstalk as a top-tier PaaS provider. References to relevant research papers and resources are also provided.

Cloud Engineering
Platform as a Service

Introduction:
• Platform as a Service or PaaS is beneficial for
business operations.
• Platform based service is provided to the
users.
• Helps in development and management of
applications without any type of concern
regarding application infrastructure.

Cloud Service Providers
• Several of market leading cloud service providers are currently
available.
• Four important cloud service organization are:
• SAP Cloud Platform
• IBM Cloud Platform
• Oracle Cloud Platform
• Amazon Web Services Elastic Beanstalk

Comparison and Contrast Between
Service Providers:
• AWS Elastic Beanstalk has been
selected for comparing with Google
Cloud Platform.
• Amazon Web Services Elastic
Beanstalk has been selected as it one
of the most popular PaaS solution
with various of features.
• Amazon Web Services Elastic
Beanstalk is also important PaaS
provider in market.

Time and Effort Required for New
Application Environment Creation:
• In both AWS Elastic Beanstalk and
Google Cloud Platform creating new
application environment is quite
easy.
• Guidelines are available for both for
creating new application
environment.
• Creating new application
environment in AWS Elastic
Beanstalk is comparatively easy.

Service Availability:
• Service availability is high for both
AWS Elastic Beanstalk and Google
Cloud Platform.
• AWS Elastic Beanstalk leads here
with average 99.99% of service
availability while Google Cloud
Platform is having average service
availability of 99.95%.

Security:
• Amazon Web Services Elastic
Beanstalk uses encryption feature
for providing security to the users.
• End to end security process is used
by Google Cloud Platform for the
security Purpose.
• Google Cloud Platform leads here
as end to end security is better
compared with normal encryption
process.

Costing Model:
• The cost of AWS Elastic
Beanstalk is higher.
• The cost of Google Cloud
Platform is quite less
compared with AWS Elastic
Beanstalk.

Elasticity:
• Both of the AWS Elastic
Beanstalk and Google Cloud
Platform is elastic in nature.
• Both can automatically
balance the load by adding
or removing resources
automatically.

Storage:
• AWS Elastic Beanstalk provides
storage related solution for both
application and archival
compliance requirements.
• Google Cloud Platform provides
mainly two type of storage
facilities including the object
storage and backup and archival
storage.

Recommended Service Provider:
• Depending on comparison
AWS Elastic Beanstalk is
recommended.
• AWS Elastic Beanstalk is costly
but provides better features.

Conclusion:
• PaaS is very much effective for the business solutions.
• PaaS helps the businesses to focus on business application rather
than infrastructure.
• AWS Elastic Beanstalk is the superior among all of the PaaS
solutions.

References:
• [1] F. Ikundi, R. Islam and P. White, Platform as a Service (PaaS) in
Public Cloud: Challenges and Mitigating Strategy. In International
Conference on Security and Privacy in Communication
Systems (pp. 296-304), 2016. Springer, Cham.
• [2] A. Bgelsack, G. Baader, L. Prifti, R. Zimmermann and H.
Krcmar, SAP in the Cloud: Landscapes and Infrastructures (SAP
PRESS), 2016.
• [3] L. Lakshmanan, Data Science on the Google Cloud Platform,
2018.
• [4] App Engine | Google Cloud, Google Cloud, 2020. [Online].
Available: https://cloud.google.com/appengine/.