Published Paper Details:

Serverless Computing, most often referred as Function as a-Service (FaaS), has become popular in recent years because of their operation such as ease-of-use, autoscaling and pay-for-what you-use features. FaaS infrastructure provides some fault tolerant measures like automatic retry functions in case of function failure - whether because of application error or infrastructure failure. This retries mechanism ensures that functions are executed at-least once. It encourages developers to write idempotent program which ensures at-most once execution. Combining retry-based atleast once execution and idempotent at-most once execution is insufficient to guarantee exactly once execution. To address this challenge, Vikram Sreekanti et al. have introduced AFT, an atomic fault tolerance shim for serverless applications. It interposes between a commodity FaaS platform and storage engine and ensures atomic visibility of updates by enforcing the read atomic isolation guarantee. In this paper, we are discussing fault-tolerance measures for Serverless Computing and how AFT guarantees read atomic isolation and scales thousands of requests per second smoothly. We also discussing alternative approach for fault tolerance in FaaS based on Active-Standby failover.