scholarly journals Serverless Architecture For Bulk Email Management

Author(s):  
Priyatham Sai Chand Bazaru

Sending emails in large quantities can be tediousconsidering free services do not cover bulk email and paidservices can be costly and are not easy to customize. Traditionalemail client used for basic emailing services fail to be useful inlarger volumes of emails to target people or spread informationto consented individuals. This paper proposes a serverless archi-tecture to tackle such problems by using one such offering fromthe Amazon Web Services(AWS) which can be easily replacedby a software architects choice of service. The constraints helpto make an architecture using components that can fit most ofthe needs of a serverless backend and extend it to scenariossuch mobile notifications, One Time Password (OTP) systems orother means of communication to minimize single point of failureand also decrease the dependency on physical servers for suchoperations offering a comparable solution within the cloud. Thearchitecture proposed is tested to find the time taken to sendthe emails of various quantities and see how it affects the cost.The architecture was successful able to send multiple emails in aquick and single invocation and has demonstrated a higher levelof scalability compared to conventional methods.

Author(s):  
Priyatham Sai Chand Bazaru

Email sending is an important tool to broadcast messages to many people to convey information. bulkemails in magnitude of thousands of emails is needed for large organization or company reaching outto its customers.Creating and maintaining a server to accomplish this is not only time-taking but notcost-effective. Products such as Gmail and Outlook are useful in basic emailing services but fail to beuseful in larger volumes of emails to target people or spread information to consented individuals.Thispaper tries to achieve bulk email management throught the use of serverless architecture to sendemails through a service from the Amazon Web Services(AWS) ecosystem.


2021 ◽  
Author(s):  
Fuad Atakishiyev ◽  
Rizvan Ramazanov ◽  
Fergus Allan ◽  
Adrian Zett

Abstract Proactive well diagnostic surveillance helps with safe delivery of production by effective well management and risk mitigation. The objective of the paper is to demonstrate the data analytics approach utilizing passive acoustic technology in combination with conventional methods of detecting low magnitude dynamic events behind single or multiple casing strings. The results of integrated interpretation of passive acoustic wireline technology with the data from different sources helped to make optimal decision. Traditional well integrity diagnostic includes temperature and passive acoustic data analysis that are associated with high uncertainty. A newer generation of array passive acoustic technology with enhanced sensitivity capabilities was deployed offshore Azerbaijan. A combination of array passive acoustics data, single point temperature and distributed fiber optic data have been acquired during a multi-well campaign. Extensive review of well integrity history, downhole and surface gauge data incorporated with passive acoustic data from arrays of spectral sensors in time and depth domain helped to refine the process and evolve into a unique interpretation methodology. The comprehensive interpretation accounted for integration of all available static and dynamic data such as: fluids and formation pressure distribution along the borehole, cement bond logs evaluation, annuli pressure and temperature, production and downhole gauge measurements, fibre optic data, temperature and passive acoustic logs. This helped to understand the low scale dynamic events behind the casing and make an informed decision on safe and reliable well operations. The sensitivity of array passive acoustic technology proved successful in detecting subtle acoustic events where conventional methods failed or had limited success. Successful results have been achieved by customizing the logging program using a multiple well evolutionary approach that improved data quality and saved rig time. Interpretation and decisions derived from each well involved multi-disciplinary well review panel sessions with specialists from subsurface & geohazards, drilling & completions, production & operations departments. Case studies presented in this paper describe the interpretation approach of highly sensitive array passive acoustic sensors in combination with available static and dynamic point and distributed data. The logging program and interpretation approach used in this article could be considered as a basis for future applications in wells with similar design.


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