You've built the next hot gen AI app and have it running great on internal servers. How do you get that out to the world? Cloud optimization and app modernization go hand-in-hand. It is all about taking on-prem apps, getting them containerized, running on VMs, perhaps orchestrating with Kubernetes, and eventually into the cloud. Once you're far enough down this path, you'll come across serverless. What exactly is serverless? It's one of the fastest growing segments in cloud allowing developers to focus on what they're building instead of what it runs on. That said, while serverless is a viable modernization solution for many applications, there are some use cases where it may not be the best option. Hear about those scenarios as well.

This session begins with a review of cloud service levels then looks specifically at serverless compute platforms. Whether it's web apps, functions/microservices, mobile backends, containers, or a customized business automation & extension platform, Google has a tool for your needs. Attendees will see how to deploy & run code using the Gemini API on each. Code samples will be in Python & JavaScript, but many other languages are supported. Whether you're a software engineer, student/researcher, data scientist/analyst, or DevOps/IT staff, you'll know how to host & run gen AI code or almost any app on Google's cloud and become part of the next-generation cloud-ready workforce.

BENEFIT TO DEVELOPERS/AUDIENCE TAKEAWAYS
- Become familiar with what serverless is and its corner of the cloud computing industry
- Learn about the serverless compute platforms available from Google and other cloud vendors
- Get a good idea of the similarities and differences between these platforms
- Discover how to deploy application code to one or more of these platforms

PREREQUISITES
* General knowledge of gen AI (Gemini, ChatGPT, etc.), web apps, app hosting, cloud computing, etc.
* You're a developer, technical consultant, software engineer, DevOps/SysAdmin/IT staff, systems analyst, etc.
* Basic working skills in Python and/or JavaScript
* Some experience working with serverless, e.g., Lambda, may be beneficial but not required

TAGS
Google, Google Cloud, serverless, serverless computing, cloud computing, Google App Engine, App Engine, Google Cloud Functions, Cloud Functions, Google Cloud Run, Cloud Run, Python, JavaScript, Node.js, PHP, Java, Go, Ruby, C#, .NET, C++, Rust, Kotlin, APIs, API, Google APIs, PaaS, IaaS, SaaS, Google Workspace, GWS, Google Apps Script, Google Cloud Platform, GCP, cloud, Google APIs, REST, software, programming, applications, development, developer, HTTP, containers, container, Docker, Cloud Buildpacks, Buildpacks, CNCF, cloud-native, standard, web apps, mobile, mobile backends, Gemini, AI, ML, AI/ML, generative AI, genAI