Our main use case for Serverless is to build Serverless APIs, and the complete back-end is built with Serverless. A specific example of an API or back-end workflow built using Serverless is a parts integration related to buying parts catalogs, which is a third-party integration API, and everything was built using Serverless.
My main use case for Serverless is deploying my services like API services. A specific example of how I use Serverless for my API services is that I need to create one API where I want to expose my services outside by creating that. For that, I don't have the server to deploy my application. Instead, I just create a YAML file and deploy Serverless application onto my Lambda without any server.
Product Manager at a tech vendor with 10,001+ employees
Real User
Top 10
Dec 2, 2025
My main use case for Serverless is to run simulation workloads currently. A quick specific example of a simulation workload I'm running with Serverless is that we have a product which runs circuit simulations. This can traditionally run on HPC clusters, but we are also working on running it on a serverless architecture for these simulation jobs. We are currently in the POC area and will spend more time to understand how our customers can use this architecture to achieve better turnaround time for their simulations instead of going the traditional HPC schedule-driven approach.
Serverless revolutionizes application architecture by eliminating the need for server management, offering a scalable, cost-efficient approach for modern development needs. It enables developers to focus on writing code without the complexities of infrastructure handling.Originally designed for enhancing agility, Serverless provides on-demand function execution, ensuring seamless scalability and rapid deployment. As a back-end architecture, it allows businesses to execute code in response to...
Our main use case for Serverless is to build Serverless APIs, and the complete back-end is built with Serverless. A specific example of an API or back-end workflow built using Serverless is a parts integration related to buying parts catalogs, which is a third-party integration API, and everything was built using Serverless.
My main use case for Serverless is deploying my services like API services. A specific example of how I use Serverless for my API services is that I need to create one API where I want to expose my services outside by creating that. For that, I don't have the server to deploy my application. Instead, I just create a YAML file and deploy Serverless application onto my Lambda without any server.
My main use case for Serverless is to run simulation workloads currently. A quick specific example of a simulation workload I'm running with Serverless is that we have a product which runs circuit simulations. This can traditionally run on HPC clusters, but we are also working on running it on a serverless architecture for these simulation jobs. We are currently in the POC area and will spend more time to understand how our customers can use this architecture to achieve better turnaround time for their simulations instead of going the traditional HPC schedule-driven approach.