In the new version of Fission, Platform9 has introduced two major capabilities which further enable developers to accelerate their deployment of serverless computing:
Fission declarative specifications & Function auto-scaling
Read the Blog: http://bit.ly/2ESHLpG
Transcript of Video:
Jeremy: [00:13] Hi, I'm Jeremy, and I lead our customer success department at Platform9. Today, I'm here to talk to you about Fission. Fission is the leading open source framework for serverless computing, introduced by Platform9. We're seeing increased adoption across our customer base, leveraging Fissions capabilities. Customers are using Fission for a number of use cases. These use cases include: reducing the application and API development time, managing complex functions, and integrating complex systems.
Jeremy: [00:43] In the new version, we've introduced two major capabilities that I want to talk to you about today. The first capability I want to talk about today is Fission declarative specifications. Declarative specifications give you the capability to define a function once, and then deploy it anywhere. This really helps reduce the pain that it took to manage a function base of serverless code across multiple endpoints. I know have the capability to deploy once, and with that specification, really reduce the time it takes to manage and deploy my functions.
Jeremy: [01:15] The second capability I want to talk about today, is function auto-scaling. This gives the capability for your function to scale horizontally as more load is demanded from it. If you have a need to generate a lot of capabilities from your function, the function will automatically scale for you, taking care of all the excess load. The benefit this brings to you as an operations engineer or a developer, is it means your responses are always handled in time. Increasing productivity and ensuring you don't have a lost request.
Jeremy: [01:47] In summary, the addition of the two new capabilities, declarative specifications and horizontal function auto-scaling, allow developers to accelerate their deployment of serverless computing.