Directory Cloud InfrastructureContainers & KubernetesInterlink

Interlink

Open Source

About Interlink

Interlink provides a system to bridge Kubernetes and HPC environments. It allows users to keep using data science frameworks as if interacting with a physical Kubernetes cluster. It offers a REST interface for managing container lifecycle instead of requiring interaction with kubelet internals. It uses a plugin-based architecture to integrate remote resources. Interlink is a Cloud Native Computing Foundation Sandbox project.

Used for

Provisioning heterogeneous resources for Kubernetes-based workloads
Running AI/ML pipelines on HPC/HTC centers
Integrating resources hosted on remote batch systems or FaaS instances
Developing custom plugins to integrate with new compute backends and middleware systems

Who it is for

Used by scientific communities.

From Interlink'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 Interlink. 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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Amazon Elastic Container Service for Kubernetes (EKS)

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