ZERO-DOWNTIME MASTERY: ADVANCED DEBUGGING AND MONITORING SOLUTIONS FOR SERVERLESS APPLICATIONS

Abstract

Serverless computing is a popular concept that contributes heavily to the construction of highly cost-efficient applications while having the qualities of being massively scalable in parallel. When it comes to server less computing there are countless advantages that affirm server less computing. These include the ecosystem and system that serverless computing is built on which can be further described as a distributed system. The system portrays unique challenges in regard to the debugging and monitoring of these systems. As far as debugging is concerned, it is a task with extreme complexity as a result of the distributed nature of serverless computing as a system and the applications developed on this system with the addition of the processes being conducted at the back end of the system being hidden from the developers. This research paper entails the details regarding the debugging and monitoring of server-less systems as well as applications and studies the existing technology, methods, and tools which facilitate the debugging and monitoring of server-less applications. It also focuses on the features, strengths, and limitations of these systems and arrives at an effective method for the monitoring and debugging of the server less systems in cloud computing. The debugging of serverless applications is essential for server less computing for a plethora of reasons. The topmost priority goes to the optimization and performance of server less applications. By doing so, not only does it prevent potential bottlenecks to present themselves but also increases the efficiency of the applications by optimizing the code which increases performance in terms of execution and resource usage. Following the debugging of the application, the monitoring of the serverless systems also played a huge role in the execution of the applications. It analyzes the mechanisms regarding the logging system which in turn gains insight into the behavior of the serverless architecture in terms of the functions, their outputs, and their intermediate stages.