Benefits of Distributed Systems
Cost-Effectiveness: Compared to maintaining and running servers around-the-clock, serverless computing often uses a pay-as-you-go paradigm, where you only pay for the compute time you really utilize.
Scalability: Demand-driven serverless architectures grow automatically. The cloud provider smoothly handles the scalability process when an application has to process more requests.
Updating and applying security fixes to servers is handled by the cloud provider when using serverless, relieving developers of these tedious duties.
Development Speed: By concentrating on developing code instead of maintaining infrastructure, developers can create apps more quickly and complete development cycles more quickly.
Resource Utilization: Because computational power is distributed dynamically according to the precise requirements of the application at hand, serverless architectures guarantee optimal resource utilization.

Possible Negative Effects of Serverless Computing
Cold Start Latency: As the environment spins up during initial invocations (cold starts), serverless functions may incur latency that affects real-time application performance.
Limits on Function Execution Duration: A lot of serverless systems have restrictions on the longest function execution times, which might be troublesome for lengthy procedures.
Vendor lock-in: When a serverless platform’s services and APIs are greatly relied upon, it might be challenging to switch to a different supplier, leading to vendor lock-in.
Complexity of Debugging: Because serverless apps’ functions are dispersed and stateless, debugging them can be difficult and make it more difficult to identify problems.
Resource Constraints: Applications requiring a lot of resources may find that serverless functions have memory and CPU resource limits.