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.