Serverless cloud showdown: Orchestrating functions
As fans of serverless and event-driven architectures, Kenny Baas-Schwegler and Marc Duiker wanted to see how easy it was to create a serverless application in AWS, Azure, and Google Cloudspecifically, by comparing how easy it is to orchestrate functions, using a current car park management example solution. Join them to learn the pros and cons of each cloud vendor.
| Talk Title | Serverless cloud showdown: Orchestrating functions |
| Speakers | Kenny Baas-Schwegler (Xebia), Marc Duiker (Xpirit) |
| Conference | O’Reilly Software Architecture Conference |
| Conf Tag | Engineering the Future of Software |
| Location | New York, New York |
| Date | February 4-6, 2019 |
| URL | Talk Page |
| Slides | Talk Slides |
| Video | |
Serverless and event-driven architectures are vastly growing in popularity. Companies are jumping on the bandwagon fast, especially now that it’s so easy and cheap to create them in the bigger cloud vendors. But what cloud vendor is best for a specific problem? What are the capabilities and limitations of each cloud vendor? What are the differences between serverless functions implementations? As fans of serverless and event-driven architectures, Kenny Baas-Schwegler and Marc Duiker wanted to see how easy it was to create a serverless application in AWS, Azure, and Google Cloud—specifically, by comparing how easy it is to orchestrate functions, using a current car park management example solution. Join them to learn the pros and cons of each cloud vendor, as they show you the solutions for this use case in the different clouds—AWS Lambda with Step Functions and DynamoDB, Azure Durable Functions and Azure Table Storage, and Google Cloud Functions with Google Cloud Datastore.
