The hype surrounding this practice was in overdrive. When a major supplier questioned my approach to serverless technology, citing several perceived limitations. Instead of attempting to address the root problems, they called for my swift termination due to perceived blasphemy stemming from my honest feedback. I hit a nerve. Why was that? Cloud providers offering serverless solutions should have had unwavering confidence in their expertise. They knew the challenges. After writing about serverless’ demise, my enthusiasm for it was properly tempered. Despite this, I remain willing to reassess my position as knowledge adapts. I consider in redemption.
A technological comeback
Despite initial challenges, serverless computing has regained momentum, driven by the intersection of shifting developer demands and innovative technologies. The major cloud providers, including AWS, Microsoft Azure, and Google Cloud, have invested significant resources in serverless technologies to address past shortcomings.
Enhancements to debugging tools, improved handling of cold starts, and advanced monitoring capabilities are integral components of the serverless ecosystem. By seamlessly combining synthetic intelligence and machine learning, serverless functions can unlock a vast array of possibilities, rendering them more innovative and agile.
