What factors can limit the capabilities of serverless platforms?

Latency and monitoring challenges are significant factors that can limit the capabilities of serverless platforms. Serverless architectures generally allow developers to focus on writing code without managing the underlying infrastructure, but they also introduce certain complexities.

Latency issues can arise because serverless functions often have cold start times, which is the delay experienced when a function is invoked after a period of inactivity. When a serverless function hasn’t been called for a while, it may take longer to start up, leading to increased response times for users. This can be particularly problematic for applications where low latency is a critical requirement.

Monitoring challenges emerge in serverless environments due to their distributed and ephemeral nature. Traditional monitoring tools may not work effectively since functions can scale up and down rapidly, and determining the performance and health of these services requires different approaches. Effective monitoring is vital for identifying performance bottlenecks and ensuring reliability, but the transient nature of serverless functions can complicate this process and limit operational insights.

High resource availability, immediate load balancing, and comprehensive debugging tools are generally considered advantages of serverless platforms rather than limitations. High resource availability is a core benefit because serverless architectures can automatically scale based on demand. Immediate load balancing is also a strong feature, as serverless services can handle bursts of