Automated Notification for Improper Use of AWS Resources
Pragya Nayak1, Jenila Livingston L. M.2 

1Pragya Nayak, M. Tech, School of Computing Science and Engineering, Vellore Institute of Technology University, Chennai, (Tamil Nadu), India -600127.
2Jenila Livingston L.M., Associate Professor, School of Computing Science and Engineering, Vellore Institute of Technology University, Chennai, (Tamil Nadu), India -600127.

Manuscript received on 07 March 2019 | Revised Manuscript received on 14 March 2019 | Manuscript published on 30 July 2019 | PP: 981-988 | Volume-8 Issue-2, July 2019 | Retrieval Number: B1790078219/19©BEIESP | DOI: 10.35940/ijrte.B1790.078219
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Abstract: A proper management of resources is very important when they are on public cloud to ensure security, cost optimization etc. Monitoring resources and sending notification to admin or authorized person for all monitored activities helps the corporate institute/organization who is using public cloud like AWS to manage the resources properly, as AWS in an organization is used by different users though they have roles associated with them but they can do any mistake which costs for an organization. Automated notifications can help on this issue when resources are monitored and notified to admin/authenticated person and they can take appropriate actions. This paper focuses on how to make an environment and hardware setup of instance in AWS using AMIs, user data and Terraform, securing and managing S3 from unwanted objects and automated deletion of unwanted resources. It is also important for an organization to verify that developers, tester etc. are working according to their provided environment standard so that they can guarantee that there is not be any problem after or during project development or delivery so, in context of that AMIs can be created and EC2 monitored for AMI.
Index Terms: AWS – Amazon Web Service, Resource Monitoring, SES – Simple Email Service, SNS – Simple Notification Service, S3 – Simple Storage Service, EC2 – Elastic Compute Cloud, Jenkins, Terraform

Scope of the Article: Automated Software Specification