Serverless Data Protection in Cloud

Cloud computing has already gained vast momentum in various fields like healthcare, finance, defense, education, and businesses. With the increasing amount of data generated, most firms have migrated to cloud platforms to reduce operational overhead and infrastructural costs. Corporate data in the cloud is often vulnerable to data breaches and losses. Hence, protecting the data stored on cloud-native assets is quintessential. Over the years, several approaches to disaster recovery have been proposed and most of the solutions focus on a server-based architecture. With the advent of cloud computing, serverless computing is emerging at an exponential rate considering the benefits it offers. Serverless computing lets users focus on developing their business logic rather than managing server configurations. In contrast to a server-based architecture for data protection; a serverless architecture is cost-efficient as it works on a pay-as- you-go model. This paper proposes a microservices-based approach to protect cloud-native assets using a serverless framework. In this approach, cloud assets are first discovered and their snapshot-based backup is taken. The backed-up assets can be later used to recover the asset in case of any disaster or data loss. Further, we also elaborate on the methodology of building a data protection application with Boto3 (Amazon Web Services - Software development Kit for Python) and integrating it with various Amazon Web Services. The proposed serverless and microservices-based approach offers high scalability, reliability, availability with time, and cost-efficiency.