KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes
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Updated
Jul 7, 2024 - Go
KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes
Kuberntes Complete Notes
Demo for running Azure Pipelines inside Docker Containers in a host machine or in Kubernetes/AKS with KEDA to support horizontal scalability.
Demo code for PD Tech Fest 2019 showcasing event driven autoscaling using KEDA
Generic connectors for Keda which can be used as worker images as part of scaleTargetRef.
See how Crowd Analytics platform built on Azure can provides occupancy insights in workspace and other location for safety while having technical fun with AI-driven platform on Kubernetes, with detailed walk through guide.
Fully configured AKS cluster deployed through Terraform with Application Gateway, Azure Key Vault, Azure Container Registry, Pod Identity and Log Analytics
A Java DAPR workshop showcasing how DAPR's component model can accelerate developers ability to develop and ship distributed applications in Azure Kubernetes Service and Azure Container Apps.
Sample KEDA deployment with Redis and MySql scalers
Kubernetes apps auto scaling with Prometheus and KEDA
Demo for Azure Friday episode on Kubernetes-Event Driven Autoscaling (KEDA).
Autoscaling Java sample with KEDA
Event-based Orchestration of Serverless Workflows
The coffeeshop event-driven application is developed in C# and runs on Dapr (AKS)
Example Autoscaling Horizontal Pods with Keda - Testing with k6
Demo on how to deploy KEDA's .NET Worker scenario on Azure Container Apps
Deploy Azure Pipelines agent on Kubernetes. Easy way. Cheap. Windows and Linux.
KEDA External Scaler for Azure Cosmos DB
Sample project to demonstrate keda functionality using kafka and vertx
Add a description, image, and links to the keda topic page so that developers can more easily learn about it.
To associate your repository with the keda topic, visit your repo's landing page and select "manage topics."