We’re excited to announce a new extension for Azure Functions that lets a function seamlessly interact with Dapr for building cloud-native applications. Azure Functions provides an event-driven programming model and Dapr provides a set of essential cloud-native building blocks.
Last year Microsoft and Red Hat announced Kubernetes Event-driven Autoscaling (KEDA) – a way to bring event scale for any container or workload deployed into any Kubernetes cluster. Since then, we have been blown away by the response from the community in helping to make KEDA even better.
Event-driven applications are a key pattern for cloud-native applications. Event-driven is at the core of many growing trends, including serverless compute like Azure Functions. Event-driven means your application responds and reacts to different events – business or system events.
Event-driven architectures are a natural evolution of microservices, enabling a flexible and decoupled design, and are increasingly being adopted by enterprise customers. Fully managed serverless offerings like Azure Functions are event–driven by design, but we have been hearing from customers about gaps in these capabilities for solutions based on Kubernetes. Scaling in Kubernetes is reactive, based on the CPU and memory consumption of a container.
