containerd vs CRI-O
containerd and CRI-O are the two leading container runtimes for Kubernetes. Both implement the CRI (Container Runtime Interface) and are production-ready. This guide compares their architectures, features, performance, and helps you choose the right one for your needs.
Both containerd and CRI-O are CNCF projects that implement the Kubernetes Container Runtime Interface (CRI). They allow Kubernetes to manage container lifecycles without being tied to a specific runtime. While they serve the same purpose, they have different origins, architectures, and design philosophies.
containerd was originally built by Docker and donated to the CNCF. It's a general-purpose container runtime used by Docker, Kubernetes, and many other platforms. It has a broader feature set and is the default runtime for most Kubernetes distributions.
CRI-O was developed by Red Hat specifically for Kubernetes. It's a lightweight runtime that implements only the CRI, with a focus on simplicity and Kubernetes integration. It's the default runtime for OpenShift and Fedora CoreOS.
- containerd: Created by Docker in 2016, donated to CNCF in 2017. Became a graduated CNCF project in 2019. Originally designed as the runtime for Docker Engine, it evolved into a standalone runtime used by Kubernetes and other platforms.
- CRI-O: Created by Red Hat in 2016. Designed specifically to implement the CRI for Kubernetes. Built as a lightweight alternative to Docker, focusing solely on Kubernetes requirements.
containerd Architecture
CRI-O Architecture
Image Management
Snapshot Drivers
Runtimes
Networking
Rootless Mode
Default For
- Container startup time: Both are similar. containerd may be slightly faster due to broader optimization.
- Memory footprint: CRI-O is slightly lighter (designed specifically for K8s). containerd uses ~50MB, CRI-O uses ~40MB.
- Image pull time: Comparable. Both use OCI image format with efficient layer caching.
- CPU overhead: Minimal for both. Differences are negligible for most workloads.
- Default choice: containerd is the default runtime for most Kubernetes distributions.
- Broader ecosystem: If you need features beyond Kubernetes (like Docker compatibility).
- Larger community: containerd has a larger community and more contributors.
- Multi-purpose: If you use containerd for both Kubernetes and other container workloads.
- Cloud providers: AWS EKS, Google GKE, and Azure AKS use containerd by default.
# Install containerd (Ubuntu)
sudo apt-get install -y containerd
# Configure containerd for Kubernetes
sudo mkdir -p /etc/containerd
containerd config default | sudo tee /etc/containerd/config.toml
# Start containerd
sudo systemctl enable containerd
sudo systemctl start containerd
- OpenShift environments: CRI-O is the default runtime for Red Hat OpenShift.
- Lightweight clusters: If you want the smallest possible runtime footprint.
- Kubernetes-only workloads: CRI-O is focused solely on Kubernetes.
- Red Hat ecosystem: Best integration with RHEL, Fedora, and related tools.
- Simplicity: CRI-O has a smaller codebase and is easier to understand.
# Install CRI-O (Ubuntu)
curl -L https://github.com/cri-o/cri-o/releases/download/v1.29.0/crio-1.29.0-amd64.tar.gz -o crio.tar.gz
sudo tar Cxzvf /usr/local/bin crio.tar.gz
# Create CRI-O configuration
sudo mkdir -p /etc/crio
crio --config /etc/crio/crio.conf
# Start CRI-O
sudo systemctl enable crio
sudo systemctl start crio
- containerd: CNCF graduated project, used by Docker, Kubernetes, and major cloud providers. Large community with many contributors.
- CRI-O: CNCF incubating project, primarily driven by Red Hat. Smaller but active community focused on Kubernetes.
Migrating between runtimes is possible but requires planning. Here are some considerations:
- Images: Both use OCI images, so no changes needed.
- Configuration: Runtime-specific configuration needs to be updated.
- Cluster downtime: Draining and restarting nodes is required.
- Testing: Test thoroughly in staging before production migration.
# Drain a node before runtime change
kubectl drain --ignore-daemonsets
# Stop kubelet
systemctl stop kubelet
# Change runtime configuration
# Update kubelet flags to point to the new runtime
# Start kubelet
systemctl start kubelet
# Uncordon the node
kubectl uncordon
Both containerd and CRI-O are excellent choices for Kubernetes. Choose the one that best fits your environment and requirements.