To run Functions on your Kubernetes cluster, you must install the KEDA component. You can install this component in one of the following ways: Azure Functions Core Tools: using thefunc kubernetes installcommand. Helm: there are various ways to install KEDA in any Kubernetes cluster, including He...
Azure Functions 运行时可在托管位置和所需方式方面提供灵活性。 KEDA (Kubernetes-based Event Driven Autoscaling) 与 Azure Functions 运行时和工具无缝结合,以提供 Kubernetes 中的事件驱动缩放。 重要 使用KEDA 或直接部署在 Kubernetes 上运行容器化函数应用是一项开源工作,可以使用免费。 最佳做法支持由参与者和...
KEDA 是基于 Kubernetes 的事件驱动的自动缩放程序。 KEDA 允许你根据要处理的负载,通过查询 Prometheus 等系统的指标来驱动 Kubernetes 中任何容器的缩放。 将 KEDA 与 Azure Kubernetes 服务 (AKS) 群集集成,以根据 Azure Monitor 工作区中的 Prometheus 指标缩放工作负载。
适用于 AKS的 Kubernetes 事件驱动的自动缩放 (KEDA) 加载项可以与 Azure 和开源项目提供的功能进行集成。 重要 AKS 支持策略并未涵盖与开源项目的集成。 了解使用 Kubernetes 事件的自动缩放 KEDA 会自动发出 Kubernetes 事件,使客户能够操作其应用程序自动缩放。 若要了解可用的指标,我们建议阅读 KEDA 文档。 Azure...
Get your app up and running on Azure Kubernetes Service (AKS) with the Kubernetes Event-Driven Autoscaling (KEDA) framework.
Kubernetes-based Event Driven Autoscaler (KEDA)lets you drive the scaling of any container in Kubernetes based on the load to be processed, by querying metrics from systems such as Prometheus. Azure Kubernetes Service (AKS) supports integration of KEDA with your AKS cluster...
Code and test Azure Functions locally NOTE: npm can be used on all platforms. On unix platforms, you may need to specify--unsafe-permif you are running npm with sudo. That's due to npm behavior of post install script. Getting Started on Kubernetes ...
DISCLAIMER: This library is supported in the Premium Plan along with support for scaling as Go-Live - supported in Production with a SLA. It is also fully supported when using Azure Functions on Kubernetes where scaling will be handed by KEDA - scaling based on Kafka queue length. It is cu...
DISCLAIMER: This library is supported in the Premium Plan along with support for scaling as Go-Live - supported in Production with a SLA. It is also fully supported when using Azure Functions on Kubernetes where scaling will be handed by KEDA - scaling based on Kafka queue length. It is cu...
a Kafka Topic through the output binding. This extension is supported when hosting functions in thePremium planenabling it to elastically scale and trigger on Kafka messages. You can also use Kafka with Azure Functions containers in Kubernetes alongsideKubernetes-based Event Driven...