keda

by kedacore

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Updated 8 months ago

About

KEDA provides Kubernetes-native event-driven autoscaling for containers, enabling fine-grained scaling including to/from zero based on external event sources.

KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes

Primary Use Case

KEDA is used to automatically scale Kubernetes workloads in response to events from various external sources, optimizing resource usage and cost. It is ideal for developers and DevOps teams managing event-driven applications that require dynamic scaling beyond standard Kubernetes capabilities.

Key Features

Event-driven autoscaling for Kubernetes workloads
Supports scaling from zero to any number of pods
Integrates natively with Kubernetes Horizontal Pod Autoscaler
Operates without external dependencies
Runs on both cloud and edge environments
Uses Kubernetes custom resource definitions to define autoscaling rules
CNCF graduated project ensuring community and ecosystem support
Supports multiple event sources with extensible scalers

Installation

Deploy KEDA using Helm charts
Deploy KEDA via Operator Hub
Deploy KEDA using provided YAML manifests
Refer to https://keda.sh/docs/latest/deploy/ for detailed deployment options

Usage

>_ kubectl apply -f https://github.com/kedacore/keda/releases/latest/download/keda-2.9.0.yaml

Deploy KEDA to your Kubernetes cluster using the official YAML manifest

>_ helm repo add kedacore https://kedacore.github.io/charts

Add the KEDA Helm repository to your Helm client

>_ helm install keda kedacore/keda

Install KEDA using Helm

>_ kubectl get scaledobjects

List all KEDA ScaledObjects which define autoscaling rules

Security Frameworks

Resource Development

Execution

Persistence

Impact

Defense Evasion

Usage Insights

Integrate KEDA with security automation pipelines to dynamically scale security monitoring workloads based on event triggers.
Use KEDA to optimize resource usage of security tools that analyze event-driven data streams, reducing costs while maintaining responsiveness.
Leverage KEDA’s event-driven scaling to improve incident response by scaling forensic or alerting containers on demand.
Combine KEDA with Kubernetes-native security policies to enforce autoscaling rules that respond to anomalous security events.
Employ KEDA in DevSecOps workflows to automatically adjust security scanning workloads in CI/CD pipelines based on event metrics.