https://www.chenshaowen.com/en/tags/event-driven/Recent content in Event-Driven on Shaowen Chen's WebsiteHugo -- gohugo.ioen©2016 - {year}, All Rights Reserved.Wed, 27 Mar 2024 00:00:00 +0000weeklyhttps://www.chenshaowen.com/en/blog/event-driven-workflow-using-argo-events.htmlWed, 27 Mar 2024 00:00:00 +0000Wed, 27 Mar 2024 00:00:00 +0000https://www.chenshaowen.com/en/blog/event-driven-workflow-using-argo-events.html1. How Argo Events Works The diagram above is from the official Argo Events website. An event processing system has three important parts: Ingesting event sources, which corresponds to the Event Source Distributing events, which corresponds to the Event Sensor Consuming events, which corresponds to the Event Trigger The event messages are stored in the EventBus, which uses NATS by default.微信公众号ArgoArgo EventsKubernetesCICDEvent-DrivenOperationshttps://www.chenshaowen.com/en/blog/autoscale-kubernetes-applications-with-keda.htmlThu, 18 May 2023 00:00:00 +0000Thu, 18 May 2023 00:00:00 +0000https://www.chenshaowen.com/en/blog/autoscale-kubernetes-applications-with-keda.html1. HPA VS KEDA HPA also provides: Elasticity based on custom metrics Scale to Zero Compared with KEDA, these are no longer disadvantages. The real difference is that HPA can only scale using monitoring data, whereas KEDA can scale using many more data sources — queue messages, databases, Redis, and so on, including monitoring data as well.微信公众号KubernetesKEDAAutoscalingElastic ScalingOperationsLearningHPAEvent-Driven