KEDA

Container scaling driven by pending events

Visit KEDA official site

What it does

KEDA provides event-driven autoscaling for Kubernetes, using scalers to read event-source state and drive workload size according to the pending work and the scaling configuration associated with the application that processes incoming records or requests.

When to use it

For queue workers under changing load, consult scaler and authentication guides to connect event counts to the required scaling conditions.

Encore

Cloud infrastructure connected to application models

  • serverless
  • deployment

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Fission

Functions connected to Kubernetes triggers

  • serverless
  • deployment

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Knative

Serverless workload building blocks for Kubernetes

  • serverless
  • deployment

Research