Serverless vs Serverfull.pdf
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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.
Serverless vs Serverfull.pdf
- 1. Fermin Blanco Freelance @luillyfe Add Speaker Photo Here 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
- 4. Cloud Computing in GCP
- 5. Compute Storage Big Data Application Services Machine Learning Google Cloud
- 7. Serverfull?
- 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