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KEDA project preview
Developer ToolsAlternative to AWS Auto ScalingAlternative to Kubernetes HPAAlternative to Google Cloud Autoscaler

KEDA

Kubernetes Event-driven Autoscaling framework for driving workloads from external events.

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LicenseApache-2.0
GitHub stars8.5k
Last commit1 weeks ago
Tags6 topics
Event Driven AutoscalerGolang KedaDevopsK8s ScalerScale To ZeroQueue Autoscaler
Overview

Why consider KEDA?

KEDA (Kubernetes Event-driven Autoscaling) is an open-source event-driven autoscaler written in Go by CNCF. KEDA scales Kubernetes pods from 0 to N based on queue lengths (Kafka, RabbitMQ, SQS, Redis) or metric thresholds, reducing idle cloud infrastructure compute costs.

Guided learning

Learn KEDA by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of KEDA

KEDA scales worker pods dynamically based on incoming queue backlog depth with zero-overhead idle states.

Quickstart

bash
1helm repo add kedacore https://kedacore.github.io/charts
2helm install keda kedacore/keda --namespace keda --create-namespace

KEDA is licensed under the Apache License Version 2.0.

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KEDA FAQs

KEDA is listed as a Developer Tools tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

KEDA is listed under the Apache-2.0 license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

KEDA is listed as an alternative to AWS Auto Scaling. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.