Serverless workloads on Kubernetes with Knative
Serverless is a buzzword that everybody seems to be talking about nowadays. You may like the term or not, but the important thing here is what it describes. In a nutshell, Serverless means the application's scale is constantly adapted to ensure that you always have the exact amount of resources you currently need available. In case of doubt, this may even mean: none at all! For you as a user, this means that you always pay only for the capacity you need to provide a response to the queries to your application. If there are no users or requests, you pay nothing at all.
What exactly is Knative? an introduction with Evan Anderson from Google
What are the benefits of serverless computing? What exactly is Knative and what features are still in development? In our interview with Evan Anderson, Senior Staff Software Engineer at Google, he gives an introduction to the new shiny serverless tooling based on Kubernetes. He also talks about the benefits and the downsides of serverless computing and why it is such a big topic at the moment.
Highly optimized APIs: Integrating GraphQL in serverless architecture
With three years on the market, GraphQL is a sophisticated and established alternative to REST. It should be taken into consideration when creating or further developing an API. Various applications such as Facebook, Instagram, and XING already successfully use this REST alternative. This is enough reason to give an insight into how GraphQL can be integrated into modern serverless architectures with little effort. In the interaction between GraphQL and AWS Lambda, a highly scalable implementation is presented that can be adapted to different architectures and frameworks.
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