Kedify Features
Kedify features extend the upstream KEDA model with operational controls that are difficult to build and maintain in a large Kubernetes estate. These pages focus on the parts of autoscaling that sit around the core KEDA and HPA loop: tenancy, fleet operations, policy guardrails, and vertical optimization.
What Kedify Features Add to KEDA
Section titled “What Kedify Features Add to KEDA”- apply autoscaling guardrails consistently across teams, namespaces, and clusters
- manage larger fleets with multitenant and multi-cluster control patterns
- optimize cost and performance with in-place vertical scaling, not only replica changes
- add workload lifecycle controls such as pausing, resuming, and resource-profile transitions
Feature Areas
Section titled “Feature Areas”- Pod Resource Profile
- Pod Resource Autoscaler
- Resume Scaling Controller
- Scaling Policy
- Scaling Groups
- Multi-Cluster Scaling
- Multitenant KEDA
Recommended Starting Points
Section titled “Recommended Starting Points”- Start with Scaling Policy and Scaling Groups if you need safer default behavior across multiple workloads.
- Review Multitenant KEDA and Multi-Cluster Scaling if you operate more than one team, namespace, or cluster.
- Compare Pod Resource Profiles and Pod Resource Autoscaler when horizontal scaling alone is not enough.