Serverless compute for modern data applications
So, what’s next in the evolution of serverless compute? Today’s data and AI applications are dynamic and unpredictable. They demand a platform that adapts in real time, without tuning, provisioning, or workload isolation. That’s why the next evolution of serverless compute won’t just be about faster scaling or reducing manual overhead. It will be about making compute so seamless, so intelligent, that teams don’t need to think about it at all. It will be about removing infrastructure decisions from the equation entirely.
There will be no need to think about compute sizes, cluster configurations, or separating compute for different workloads. With intelligent resource utilization built in, modern data platforms will automatically adapt to support a wide variety of heterogeneous workloads without the overhead traditionally needed for optimization or intervention. This is how infrastructure finally gets out of the way, allowing businesses to spend less time managing infrastructure and more time delivering value through data systems that are as agile and responsive as the businesses they power.
Artin Avanes is senior director of product management at Snowflake.
