Distributing your Search Ingest pipeline using Dapr

In the ever-evolving landscape of cloud-native applications, the need for scalable and resilient architectures has never been more critical. Traditional monolithic systems often fall short when it comes to handling large volumes of data and complex workflows. Enter Dapr: Distributed Application Runtime, a powerful framework that helps you build highly scalable and resilient microservices architecture. In this blog post, we'll explore how you can leverage Dapr to distribute your search ingest pip »

Adding Event-driven Autoscaling to your Kubernetes Cluster

Azure Kubernetes Service (AKS) comes with a Cluster Autoscaler (CA) that can automatically add nodes to the node pool based on the load of the cluster (based on CPU/memory usage). KEDA is active on the pod-level and uses Horizontal Pod Autoscaling (HPA) to dynamically add additional pods based on the configured scaler. CA and KEDA therefore go hand-in-hand when managing dynamic workloads on an AKS cluster since they scale on different dimensions, based on different rules, as shown below: Overv »