Enabling Auto-Heal Micro-Service Framework (AHMF) Based on APM Audit And Proactive Fault Discovery in Cloud Monitoring

In Computer Science paradigm, at any domain, Data is a crucial component and it becomes highly sensitive when it is handled within financial domains. Technology domain companies heavily rolling out on Cloud-Native applications and legacy business domain companies also started adapting into Cloud based platforms. So, there is a lot of data movement happening in Cloud services. In terms of Data integrity and availability this possesses a greater challenge. This study will enable the auto-healing of Transactional data loss or incorrect data caused by many internal and external factors by developing the AHMF which is a framework that can be plug-in to any microservice design solutions available in Cloud. This study is mainly focuses on Insurance domain as use case which handles highly sensitive payment data. This framework also helps to monitor and trace all the transactions using the Audit functions which can be a critical factor in understanding the data movement within Microservices. Though the lost data or incorrect data is being fixed by any system, with a real-time system the transactional time also plays a vital role in critical applications like payments. Hence this study also emphasizes the importance of keeping System SLA with marginal SLA breaches.

1 Introduction

The Evolution of Microservices architectures ruling the Information domain across all the Cloud Platforms. The ever-growing critical applications and their architectures exposed to an enormous challenge in monitoring and managing the cloud applications. The troubleshooting and recovering of impacted failure points also becoming a pain in this cloud arena. Site Reliability Engineering in other words SRE becoming the best practices approach as per (Beyer et al., 2016), to maintain the standards of Cloud-mounted and Cloudnative applications being reviewed, designed and developed accordingly. Due to the diversity of the Cloud Platform, which includes cross-functional devices, several technologies that are used, and a multi-tenant base, it is susceptible to failures (Goyal et al., 2019). Therefore, it would be difficult for engineers to deliver a reliable business solution that will improve the client experience and have a solid framework. In these conditions, auto-healing is one of the crucial components that might provide a guarantee for the resilience in Cloud applications. According to (Vayghan et al., 2021), auto-healing at the Service Availability level alone will not be sufficient to achieve this resiliency, but this is necessary in terms of the Data cum Transaction completeness.