Optimizing DTGOV's IT with AWS: A Comprehensive Cloud Computing Report

This report assesses the suitability of Amazon Web Services (AWS) for DTGOV, a public company requiring remote server administration, SLA management, and resource management. It compares Amazon EBS instances for storage, analyzes data determination, backup, and recovery, and examines AWS's dynamic IP addressing. The report ensures application operability after component restarts and discusses deploying application components across multiple availability zones, including data duplication and failover testing. It covers the use of Elastic Load Balancing and Elastic IP addresses, secure user account access, and the importance of removing sensitive information before sharing Amazon Machine Images. The report recommends signing up for AWS production accounts and incorporating AWS Trusted Advisor reports into ongoing operational reviews. It highlights the benefits of AWS RDS for simplifying relational database scalability, setup, and operation, detailing its features such as Multi-Availability Zone deployment, read replicas, and comprehensive monitoring through AWS Management Console and Amazon CloudWatch API. Finally, it emphasizes the importance of compliance and security policies through integration with AWS Config, ensuring enhanced database security and configuration management. The implementation of AWS would help DTGOV to fulfill the requirements. Desklib provides access to past papers and solved assignments for students.

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Cloud Computing
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Table of Contents
Introduction................................................................................................................................2
Operations checklist of Morad and Dalbhanjan.........................................................................2
Conclusion..................................................................................................................................6
References..................................................................................................................................7

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Introduction
DTGOV is required to conduct remote server administration, SLA management and
resource management. Morad and Dalbhanjan’s operational checklist is considered for the
purpose of the discussion.
Operations checklist of Morad and Dalbhanjan
 The comparison is done between the Amazon EBS instances based on the
ability to support and getting stored back. After the comparison is done the
most suitable storage is chosen and the results of data determination, backup
and recovery is analysed.
 The understanding of the AWS’ dynamic addressing of IP is done and the
assurance is given regarding the ability to be operated of the applications once
the components of the applications are made to restart.
 The acute components of the application are deployed across several zones of
availability and of those who are successfully performing the duplication of
data across the zones and the testing of the application availability is done in
the instance when components of the application fail to function.

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 The occurrence of the failover is understood in the areas where the
components of the application is being used towards multiple availability zone
and along with that the usage of Elastic load balancing or third party is also
being monitored with the additional usage of elastic IP address suitable for the
situation.
 For accessing the operating system’s user account the use of credential that
will be suitable is being utilised and there is no involvement of these
utilisations in the key pairing of AWS’ private keys with every system
administrator.
 Execution of the CNAME records utility is done and it is solely done for the
mapping of the DNS names of the buckets of Amazon S3 or Elastic load
balancing.
 The sensitive and confidential information that includes any embedded key
pairs (public/private) are removed and the SSH authorised keys are reviewed
before the images of the Amazon machine gets shared with others.

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 Production accounts of AWS for the support to the business or the enterprise
are signed up and planning is done for the incorporation of reports of the
AWS’ trusted advisors into the reviews regarding the ongoing operation.
The service of distributed relational database of AWS is known as AWS RDS. The
services that are running inside the cloud is the parameter on which the AWS RDS depends
on (Amazon, 2015). These services on which AWS RDS depends are designed for
simplification of the scalability of the relational database, setup and operation and the RDS is
used for the utilisation of the applications (Jain & Mahajan, 2017).
The Amazon RDS consists of the following features:
 The deploying of the components in the Multi-Availability Zone gives the allowance
for the automated provisions and a synchronous logical or a physical standby is
maintained and the dependence for all of these factors are on the database engine in
various availability zone.
 The permission of several uses like the workloads scaling out which are read-heavy
are given by the read replicas.
 Monitoring and performance metrics for AWS RDS are available on the AWS
management Console or Amazon CloudWatch API. Possible feature for the
enhancement of the monitoring are provided by Amazon offering a set of metrics that
has an expanded nature for MySQL
 RDS is cost efficient. The pricing of the Amazon RDS and Amazon EC2is done to be
similar. The beneficial part of the RDS is that charging is done hourly and there is an

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availability of two packages, like Reserved database instances and on-demand
database instances (Safvati, Sharzehei & Mesbahi, 2017). The indication of the
storage amount that is provided are being given to the user and also that of the data
transfer and operations regarding input and output.
 For the database of the system, Amazon RDS provides a metric system named as
Amazon CloudWatch at free of cost within the package. The RDS Management
Console can be used for viewing the metrics regarding the key operations that
includes I/O activity, capacity utilisation regarding memory, computing and storage,
and instance connections. There is another provision by Amazon RDS of Enhanced
Monitoring. This feature provides the user with the accessibility towards 50 CPUs,
disk I/O metrics, file system, and memory. Along with it, the provision of
Performance Insights, that is easy to use and detect problems regarding performance
(Jung et al., 2016).
 In the section of notification regarding the events in the database Amazon RDS makes
the user notify the users through emails and SMS texts with the help of Amazon SNS.
The AWS Management Console or Amazon RDS APIs lets the user to be subscribed
to more than 40 different database activities related to the user’s database instances
(Uotila, 2019).
 Amazon RDS supports the compliance and brings enhancement in the security
policies of the database by integrating the AWS Config. The enhancement is being
done by recording and auditing the modifications that has been done to the
configurations of the database instances and the processes that are included for
auditing and recording to enhance the security includes event subscriptions,
snapshots, parameter groups, security groups and subnet groups (Ortiz, 2019).

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Conclusion
The implementation of AWS would help DTGOV to fulfil the requirements.

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References
Amazon, E. C. (2015). Amazon web services. Available in: http://aws. amazon.
com/es/ec2/(November 2012).
Jain, A., & Mahajan, N. (2017). Introduction to Database as a Service. In The Cloud DBA-
Oracle (pp. 11-22). Apress, Berkeley, CA.
Jung, M., Mallering, S., Dalbhanjan, P., Chapman, P., & Kassen, C. (2016). Microservices on
AWS. Amazon Web Services, Inc., New York, NY, USA, Tech. Rep.
Ortiz, A. (2019, February). Architecting Serverless Microservices on the Cloud with AWS.
In Proceedings of the 50th ACM Technical Symposium on Computer Science
Education (pp. 1240-1240). ACM.
Safvati, M. A., Sharzehei, M., & Mesbahi, M. R. (2017, December). Investigating the
features of research environments on cloud computing. In 2017 IEEE 4th
International Conference on Knowledge-Based Engineering and Innovation
(KBEI) (pp. 0404-0411). IEEE.
Uotila, T. (2019). Designing scalable microservices: Case: AWS with Python.