Serverless apps come with strict operational constraints. Cold start issues, time limits on function execution, and the necessity of using approved programming languages are some of the problems. Moreover, developers must learn how to handle asynchronous programming models, which complicate debugging and increase the learning curve associated with serverless.
Expenses skyrocketed for many enterprises using serverless. The pay-as-you-go model appears attractive for intermittent workloads, but it can quickly spiral out of control if an application operates under unpredictable traffic patterns or contains many small components. The requirement for scalability, while beneficial, also necessitates careful budget management—this is a challenge if teams are unprepared to closely monitor usage.
Debugging in a serverless environment poses significant hurdles. Locating the root cause of issues across multiple asynchronous components becomes more challenging than in traditional, monolithic architectures. Developers often spent the time they saved from server management struggling to troubleshoot these complex interactions, undermining the operational efficiencies serverless was meant to provide.
