The document discusses serverless vs serverful computing approaches on Google Cloud Platform (GCP). It provides an overview of serverless computing services like App Engine and Cloud Run, which allow developers to build and run applications without managing servers. With serverless, developers never pay for idle resources and GCP handles automatic scaling and security. Traditional serverful approaches require managing virtual servers and infrastructure. The document also lists additional GCP services for computing, storage, data, and machine learning and provides resources for learning more about serverless application design on GCP.

1. Fermin Blanco
Freelance @luillyfe
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Serverless vs Serverfull

2. Agenda
1. Cloud Computing in GCP
2. Serverfull? Traditional Approach?
3. Compute Engine
4. Kubernetes
5. Serveless?
6. App Engine
7. Cloud Run
8. Thank you!
9. Resources

3. https://gdg.community.dev/gdg-cucuta/

4. Cloud Computing in GCP

5. Compute Storage Big Data Application
Services
Machine
Learning
Google
Cloud

7. Serverfull?

10. Let’s go Serverless!

11. Programming model
Operational model
Never pay for idle Managed security Automatic scale
of resources
Idiomatic EDA

12. “App Engine meet Serverless
operational model since the Beginning.”

13. “Cloud Run allows Kubernetes meets
Serverless model.”

14. App Engine
Mobile
backends
Cloud Run
Intranet
Apps
Cloud functions
Web app
hostings
Custom
REST APIs
HTTP
middleware
Microservices
ETL
Private
microservice

16. Stephanie Wong about Cloud Functions 2dn
Michael Helmick and Steren Giannini on Running
containers in Serverless infrastructure
Google cloud Icon library
Google Cloud Regions and Zones
Designing a Serverless application
Cloud functions 2.0