KEDA

Open SourceFunded

Kubernetes event-driven autoscaling for cloud-native applications

About KEDA

KEDA is an open-source Kubernetes-based event-driven autoscaler designed to optimize container scaling based on real-time event metrics. It enables enterprises to scale workloads such as deployments, jobs, and custom resources dynamically by monitoring over 70 built-in scalers that integrate with various cloud platforms, databases, messaging systems, and telemetry tools. KEDA works alongside Kubernetes' native Horizontal Pod Autoscaler to extend autoscaling capabilities without duplication or interference, allowing selective event-driven scaling for specific applications within a cluster.

Targeted at enterprises leveraging Kubernetes for cloud infrastructure, KEDA simplifies autoscaling for event-driven workloads, improving resource efficiency and reducing environmental impact through scale-to-zero capabilities. Its vendor-agnostic design supports triggers from multiple cloud providers, including Azure and AWS, and it also facilitates running Azure Functions on Kubernetes. This makes KEDA a flexible, extensible, and lightweight solution for organizations seeking advanced autoscaling to optimize performance and cost in their Kubernetes environments.

Key Capabilities

✓Event-driven autoscaling for Kubernetes workloads
✓Support for deployments, jobs, and custom resources
✓Catalog of 70+ built-in scalers for diverse event sources
✓Vendor-agnostic integration with multiple cloud providers
✓Scale-to-zero for environmental and cost efficiency

Integrations

Azure Event HubsAWS SQS QueueApache Kafka

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This profile was compiled by CIOPages from public sources with AI assistance, and may be incomplete or out of date. It is informational only and not an endorsement. Represent this vendor? or .