Event-Driven Architectures: Leveraging AWS for Scalable Cloud Solutions in Large-Scale Enterprises

Abstract

Software development has changed significantly as a result of the rise of public cloud computing platforms. Applications' software design must match the features of cloud services in order to benefit from many of the advantages offered by cloud platforms. Therefore, it is often not viable to migrate HPC applications to the cloud by recreating traditional HPC clusters using cloud infrastructure. We examine the particular use of seismic imaging as an alternative to the general lift and shift method, and we show how to execute large-scale instances of this issue on the cloud using an event-driven and server-less approach. FaaS (Function as a Service) platforms are among the most well-known services in recent years. Their main selling point is how simple it is to deploy little bits of code in certain programming languages to carry out particular activities in an event-driven manner. With a fine-grained pay-per-use model, these operations are carried out on the Cloud provider's servers, saving customers from having to bother about upkeep or elasticity management. While edge computing analyses data close to its source, decentralizing data processing and reducing data transfer to centralized servers, the Internet of Things entails linked devices collecting and sharing data on their own. Scalable and secure edge computing and Internet of Things infrastructures are made possible by AWS. AWS Lambda allows server-less computation, enabling effective deployment and scalability of IoT applications; AWS Green Grass expands AWS capabilities to edge devices; and AWS IoT Core controls IoT device connection and data intake. Large amounts of IoT data often cause problems for centralized cloud infrastructures. By decentralizing data processing, edge computing improves real-time capabilities, lowers latency, and uses less bandwidth. Through AWS IoT Core, which supports many protocols for smooth integration with IoT devices, AWS guarantees secure device communication. For applications with strict latency constraints or restricted connection, AWS Green Grass enables local data processing and machine learning at the edge. Scalable, event-driven designs without server administration are made possible by AWS Lambda's server less computing technology, which is essential for varying IoT workloads. To sum up, AWS develops IoT capabilities at the edge, with real-world applications in a variety of sectors. AWS continues to play a key role as IoT develops, coming up with new ideas to satisfy changing needs for IoT deployment.