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Katalyst

About Katalyst

Katalyst is a QoS-based resource management system for workload colocation on kubernetes. By assigning proper QoS classes, users can colocate online and offline workloads to reclaim unused resources. It provides configuration management capabilities for clusters, workloads, and nodes.

Used for

  • Colocating online and offline workloads to reclaim unused resource
  • Finding the balance between node resource utilization and service stability
  • Baking custom ML-based prediction algorithms into a pluggable policy framework
  • Making configuration changes to adapt to various colocation scenarios

From Katalyst's own website, read 2026-10-23. How we build listings.

How to evaluate Containers & Kubernetes

This is how the CIOPages Research Team evaluates this category. It is not an assessment of Katalyst. It comes from our Kubernetes Platforms buyer guide.

25%
Control Plane & Day-2 Lifecycle
Managed vs. self-managed control plane and its SLA; how Kubernetes version upgrades roll (in-place, surge, blue-green) and how disruptive they are to running pods; long-term-support version options; CVE patch cadence and how quickly fixes reach the fleet; automated node remediation and certificate rotation
20%
Fleet & Multi-Cluster Management
Single console and API to govern many clusters across clouds, on-prem, and edge; declarative cluster lifecycle and config (Cluster API or equivalent); fleet-wide policy and drift detection; zero-touch provisioning for edge; whether it manages clusters it did not create (imported/attached) or only its own
20%
Security & Compliance
Default-deny posture and admission control (Pod Security, OPA/Kyverno); image scanning and signing in the supply chain; RBAC plus OIDC/enterprise-identity integration; network policy and microsegmentation; CIS-benchmark conformance, audit logging, and FedRAMP/FIPS coverage where regulated
15%
Networking, Storage & Service Mesh
CNI options and how locked-in the default is; ingress and gateway controllers with TLS, rate-limiting, and WAF; CSI drivers for block/file/object and stateful-workload maturity; service mesh integration (Istio, Linkerd, Cilium); cross-cluster connectivity and load balancing
10%
Developer Experience & Self-Service
Namespace and cluster self-service vs. ticket-based provisioning; GitOps support (Argo CD, Flux) as a first-class workflow; developer portal and golden-path integration (Backstage or built-in console); IDE plugins and local-dev parity; how opinionated the platform is about how teams ship
10%
Cost, Portability & Commercial Model
Licensing unit (per-core, per-node, per-cluster, consumption) and how it scales with you; control-plane and extended-support fees; realistic exit cost and how provider-shaped the abstractions are; GPU/AI scheduling support; ecosystem breadth (operators, Helm, marketplace) and how much you must self-integrate

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Quick Facts

gokatalyst.io
CategoryCloud Infrastructure
SubcategoryContainers & Kubernetes
DeploymentKubernetes

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