Directory Cloud InfrastructureContainers & KubernetesCRI-O

CRI-O

Open Source

About CRI-O

CRI-O is an implementation of the Kubernetes CRI that enables use of OCI compatible runtimes. It is described as a lightweight alternative to using Docker as the runtime for Kubernetes. It allows Kubernetes to use any OCI-compliant runtime as the container runtime for running pods. It supports runc and Kata Containers as container runtimes today, with any OCI-conformant runtime pluggable in principle. CRI-O supports OCI container images and can pull from any container registry.

Products

CRI-O: A container runtime implementation of the Kubernetes CRI that enables OCI-compatible runtimes to run pods.
conmon: A utility within CRI-O used to monitor containers, handle logging, serve attach clients and detect Out Of Memory situations.

Used for

Pulling container images from a container registry
Unpacking downloaded images into container root filesystems
Generating an OCI runtime specification file describing how to run a container
Setting up networking for pods using CNI plugins

Who it is for

Used in Minikube as a container runtime option
Used with kubeadm to set up clusters
Configured by default in Kubic's kubeadm and microOS system roles

From CRI-O'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 CRI-O. 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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AKS Engine for Azure Stack

Accordion

Alauda Container Platform (ACP)

Alibaba Cloud Container Service for Kubernetes

Amazon Elastic Container Service (ECS)

Amazon Elastic Container Service for Kubernetes (EKS)

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