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
Aug 18, 2024 - Go
KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes
DevOps Project: AWS EKS, CI/CD, Docker, Kubernetes, Argo CD, Git, Terraform, Prometheus, Grafana, and more. Build a Dev Portfolio with this powerful tech stack.
An easy-to-use application that allows developers to visualize their Kubernetes cluster metrics and KEDA's auto-scaling pods in real-time.
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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.
Estimation of Distribution algorithms Python package
Deploy Azure Pipelines agent on Kubernetes. Easy way. Cheap. Windows and Linux.
The coffeeshop event-driven application is developed in C# and runs on Dapr (AKS)
Fully configured AKS cluster deployed through Terraform with Application Gateway, Azure Key Vault, Azure Container Registry, Pod Identity and Log Analytics
Demo code for PD Tech Fest 2019 showcasing event driven autoscaling using KEDA
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.
RetroPOS is a fictional project to foster learning through Cloud Native practices in Azure using .NET Core microservices.
Generic connectors for Keda which can be used as worker images as part of scaleTargetRef.
Demo on how to deploy KEDA's .NET Worker scenario on Azure Container Apps
Kubernetes apps auto scaling with Prometheus and KEDA
Demo for running Azure Pipelines inside Docker Containers in a host machine or in Kubernetes/AKS with KEDA to support horizontal scalability.
kedahttp implements a prototype of auto-scaling containers using Kubernetes and KEDA
Example Autoscaling Horizontal Pods with Keda - Testing with k6
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