Inter-Process Communication Amongst Microservices

2024-02-22T06:10:39+00:00

The purpose of the study to perform critical analyses on inter process communication (IPC) in the microservice model, than evaluate its impact on basis of various non-business related functionalities, such as; Effectiveness of performance, Accessibility, Adoptability and complexity. There are various techniques for establishing Interprocess communication (IPC) within microservices, each with its own set of benefits and drawbacks. Throughout this research, IPC approaches are divided into two categories: synchronous and asynchronous. The Representational State Transfer Application Programming Interface (REST API) and Google remote procedure call (gRPC) are utilized in the Synchronous kind, whereas Rabbit Message Queue (RabbitMQ) is utilized in the Asynchronous type. A workload test was conducted across each model to get quantitative measurements on the Performance Efficiency and Accessibility of each technique and relatively similar functionality set utilizing to provide qualitative data on the almost every other IPC method adaptability and complexity. Outcome of the research will show, if there is any standardized IPC solution that can be utilized in all scenarios.

Unveiling the Pathophysiological Landscape of COVID-19: Insights for Novel Therapeutic Strategies

2024-02-08T13:52:32+00:00

The ongoing COVID-19 epidemic has emphasised
the critical need for a thorough understanding of the disease’s
pathophysiology environment. This article explores the complex
relationship between SARS-CoV-2, the virus responsible for
COVID-19, and the human body, offering light on the underlying
mechanisms that determine illness susceptibility, development,
and severity. The genetic, immunological, and physiological
aspects that contribute to the different clinical presentations
of COVID-19 using a multidisciplinary approach have been
discussed. This article aims to provide significant insights that
pave the way for potential therapeutic options addressing the
core pathophysiological processes by deciphering these complex
pathways. As the global community attempts to combat the epidemic, a fuller knowledge of COVID-19’s molecular complexities
holds the prospect of new interventions that can effectively lessen
its effects. In addition, a case study featuring Quantitative Polymerase Chain Reaction (QPCR) amplification curves and Cycle
Threshold (CT) values is shown to demonstrate the significance
of making an accurate diagnosis. This diagnostic approach lets
physicians to distinguish between positive and negative cases,
assess viral load, and offer informed treatment recommendations.
By combining QPCR results with clinical data, we can acquire a
greater understanding of COVID-19’s progression and influence
the development of novel therapy methods. This research aims
to aid the global effort to eradicate COVID-19 by elucidating
its pathophysiological intricacies and employing sophisticated
diagnostic techniques such as (QPCR)

International Journal of Emerging Engineering and Technology

Inter-Process Communication Amongst Microservices

Unveiling the Pathophysiological Landscape of COVID-19: Insights for Novel Therapeutic Strategies