Top Related Projects
Production-Grade Container Scheduling and Management
Container Network Interface - networking for Linux containers
Cloud native networking and network security
eBPF-based Networking, Security, and Observability
Simple, resilient multi-host containers networking and more.
flannel is a network fabric for containers, designed for Kubernetes
Quick Overview
Flannel is a simple and easy-to-use network fabric for Kubernetes. It creates a flat network overlay on top of existing network infrastructure, allowing pods to communicate with each other across different nodes in a Kubernetes cluster. Flannel is designed to be lightweight and efficient, making it a popular choice for container networking.
Pros
- Easy to set up and configure
- Supports multiple backend types (e.g., VXLAN, host-gw, UDP)
- Works well with various cloud providers and on-premises environments
- Actively maintained and widely adopted in the Kubernetes community
Cons
- Limited advanced networking features compared to some alternatives
- May have performance overhead in certain scenarios
- Not suitable for complex network policies or multi-cluster setups
- Lacks built-in network security features
Getting Started
To deploy Flannel in your Kubernetes cluster, follow these steps:
- Apply the Flannel manifest:
kubectl apply -f https://raw.githubusercontent.com/flannel-io/flannel/master/Documentation/kube-flannel.yml
- Verify that Flannel pods are running:
kubectl get pods -n kube-system | grep flannel
- (Optional) Configure Flannel backend type in the ConfigMap:
kind: ConfigMap
apiVersion: v1
metadata:
name: kube-flannel-cfg
namespace: kube-system
data:
net-conf.json: |
{
"Network": "10.244.0.0/16",
"Backend": {
"Type": "vxlan"
}
}
Replace "vxlan" with your desired backend type (e.g., "host-gw" or "udp").
Competitor Comparisons
Production-Grade Container Scheduling and Management
Pros of Kubernetes
- Comprehensive container orchestration platform with extensive features
- Large, active community and ecosystem with robust support
- Highly scalable and suitable for complex, enterprise-level deployments
Cons of Kubernetes
- Steeper learning curve and more complex setup compared to Flannel
- Requires more resources and overhead for smaller deployments
- Can be overkill for simple networking needs in container environments
Code Comparison
Kubernetes (ConfigMap example):
apiVersion: v1
kind: ConfigMap
metadata:
name: network-config
data:
network-type: overlay
Flannel (Configuration example):
{
"Network": "10.0.0.0/8",
"Backend": {
"Type": "vxlan"
}
}
Summary
Kubernetes is a comprehensive container orchestration platform, while Flannel is focused on providing simple and efficient networking for container environments. Kubernetes offers a wide range of features and scalability but comes with increased complexity. Flannel, on the other hand, provides a more straightforward solution for container networking but lacks the extensive orchestration capabilities of Kubernetes.
The choice between the two depends on the specific needs of the project. For complex, large-scale deployments requiring advanced orchestration, Kubernetes is the better choice. For simpler setups primarily focused on container networking, Flannel may be more suitable.
Container Network Interface - networking for Linux containers
Pros of CNI
- More flexible and extensible, supporting various network plugins
- Standardized interface for container networking across different runtimes
- Broader ecosystem support and community-driven development
Cons of CNI
- Requires more configuration and setup compared to Flannel's simplicity
- May have a steeper learning curve for beginners
- Potentially more complex troubleshooting due to diverse plugin options
Code Comparison
Flannel configuration example:
net-conf.json:
{
"Network": "10.244.0.0/16",
"Backend": {
"Type": "vxlan"
}
}
CNI configuration example:
{
"cniVersion": "0.4.0",
"name": "mynet",
"type": "bridge",
"bridge": "cni0",
"ipam": {
"type": "host-local",
"subnet": "10.244.0.0/16"
}
}
Summary
Flannel is simpler and easier to set up, making it ideal for smaller deployments or beginners. CNI offers more flexibility and standardization, suitable for complex environments and advanced users. Flannel focuses on providing a flat network, while CNI allows for various networking solutions through its plugin architecture.
Cloud native networking and network security
Pros of Calico
- Advanced network policy features for fine-grained control
- Better performance and scalability for large clusters
- Supports multiple data planes (e.g., eBPF, standard Linux)
Cons of Calico
- More complex setup and configuration
- Steeper learning curve for network administrators
- Requires more resources compared to simpler solutions
Code Comparison
Flannel configuration (simple):
net-conf.json:
{
"Network": "10.244.0.0/16",
"Backend": {
"Type": "vxlan"
}
}
Calico configuration (more detailed):
apiVersion: projectcalico.org/v3
kind: IPPool
metadata:
name: default-ipv4-ippool
spec:
cidr: 192.168.0.0/16
ipipMode: Always
natOutgoing: true
Flannel focuses on simplicity and ease of use, making it suitable for smaller clusters or those new to Kubernetes networking. Calico offers more advanced features and better performance at the cost of increased complexity, making it ideal for larger, production-grade clusters with specific networking requirements.
eBPF-based Networking, Security, and Observability
Pros of Cilium
- Advanced network policy enforcement with Layer 7 (HTTP/gRPC) visibility
- Built-in load balancing and service mesh capabilities
- Better performance and scalability due to eBPF technology
Cons of Cilium
- Steeper learning curve and more complex setup
- Requires newer kernel versions for full functionality
- Higher resource consumption compared to simpler CNI plugins
Code Comparison
Flannel configuration (simplified):
net-conf.json:
{
"Network": "10.244.0.0/16",
"Backend": {
"Type": "vxlan"
}
}
Cilium configuration (simplified):
cilium-config:
enable-ipv4: true
enable-ipv6: false
tunnel: vxlan
identity-allocation-mode: crd
debug: "false"
enable-endpoint-health-checking: "true"
Summary
Cilium offers more advanced networking features and better performance, but comes with increased complexity and resource requirements. Flannel is simpler to set up and use, making it suitable for basic networking needs. The choice between them depends on specific use cases and requirements of the Kubernetes cluster.
Simple, resilient multi-host containers networking and more.
Pros of Weave
- Provides network encryption and supports network policy for enhanced security
- Offers multicast support, which is beneficial for certain applications
- Includes a built-in DNS server for service discovery
Cons of Weave
- Generally slower performance compared to Flannel
- More complex setup and configuration process
- Higher resource consumption, especially in larger clusters
Code Comparison
Flannel configuration example:
net-conf.json: |
{
"Network": "10.244.0.0/16",
"Backend": {
"Type": "vxlan"
}
}
Weave configuration example:
command:
- /home/weave/launch.sh
- --ipalloc-range=10.32.0.0/12
- --service-cidr=10.96.0.0/12
Both Flannel and Weave are popular networking solutions for Kubernetes clusters. Flannel is known for its simplicity and ease of use, while Weave offers more advanced features at the cost of increased complexity. The choice between the two depends on specific project requirements, such as security needs, performance expectations, and the level of networking expertise available in the team.
flannel is a network fabric for containers, designed for Kubernetes
Pros of Flannel
- Actively maintained with regular updates and bug fixes
- Well-documented with extensive user guides and examples
- Supports multiple backend options for flexibility
Cons of Flannel
- Limited advanced networking features compared to some alternatives
- May have performance overhead in certain scenarios
- Configuration can be complex for advanced use cases
Code Comparison
Flannel configuration example:
net-conf.json: |
{
"Network": "10.244.0.0/16",
"Backend": {
"Type": "vxlan"
}
}
Note: As both repositories mentioned in the prompt are the same (flannel-io/flannel), there isn't a different codebase to compare against. The code example provided is a typical Flannel configuration.
Flannel is a popular networking solution for Kubernetes clusters, providing a simple and efficient way to configure a layer 3 network fabric. It's designed to give a flat network model and is often used in conjunction with container runtimes like Docker.
While Flannel offers ease of use and broad compatibility, users with complex networking requirements may need to consider more feature-rich alternatives. However, for many standard Kubernetes deployments, Flannel provides a solid foundation for container networking.
Convert
designs to code with AI
Introducing Visual Copilot: A new AI model to turn Figma designs to high quality code using your components.
Try Visual CopilotREADME
flannel
Flannel is a simple and easy way to configure a layer 3 network fabric designed for Kubernetes.
How it works
Flannel runs a small, single binary agent called flanneld
on each host, and is responsible for allocating a subnet lease to each host out of a larger, preconfigured address space.
Flannel uses either the Kubernetes API or etcd directly to store the network configuration, the allocated subnets, and any auxiliary data (such as the host's public IP).
Packets are forwarded using one of several backend mechanisms including VXLAN and various cloud integrations.
Networking details
Platforms like Kubernetes assume that each container (pod) has a unique, routable IP inside the cluster. The advantage of this model is that it removes the port mapping complexities that come from sharing a single host IP.
Flannel is responsible for providing a layer 3 IPv4 network between multiple nodes in a cluster. Flannel does not control how containers are networked to the host, only how the traffic is transported between hosts. However, flannel does provide a CNI plugin for Kubernetes and a guidance on integrating with Docker.
Flannel is focused on networking. For network policy, other projects such as Calico can be used.
Getting started on Kubernetes
The easiest way to deploy flannel with Kubernetes is to use one of several deployment tools and distributions that network clusters with flannel by default. For example, K3s sets up flannel in the Kubernetes clusters it creates using the open source K3s Installer to drive the setup process.
Though not required, it's recommended that flannel uses the Kubernetes API as its backing store which avoids the need to deploy a discrete etcd
cluster for flannel
. This flannel
mode is known as the kube subnet manager.
Deploying flannel manually
Flannel can be added to any existing Kubernetes cluster though it's simplest to add flannel
before any pods using the pod network have been started.
For Kubernetes v1.17+
Deploying Flannel with kubectl
kubectl apply -f https://github.com/flannel-io/flannel/releases/latest/download/kube-flannel.yml
If you use custom podCIDR
(not 10.244.0.0/16
) you first need to download the above manifest and modify the network to match your one.
Deploying Flannel with helm
# Needs manual creation of namespace to avoid helm error
kubectl create ns kube-flannel
kubectl label --overwrite ns kube-flannel pod-security.kubernetes.io/enforce=privileged
helm repo add flannel https://flannel-io.github.io/flannel/
helm install flannel --set podCidr="10.244.0.0/16" --namespace kube-flannel flannel/flannel
See Kubernetes for more details.
In case a firewall is configured ensure to enable the right port used by the configured backend.
Flannel uses portmap
as CNI network plugin by default; when deploying Flannel ensure that the CNI Network plugins are installed in /opt/cni/bin
the latest binaries can be downloaded with the following commands:
ARCH=$(uname -m)
case $ARCH in
armv7*) ARCH="arm";;
aarch64) ARCH="arm64";;
x86_64) ARCH="amd64";;
esac
mkdir -p /opt/cni/bin
curl -O -L https://github.com/containernetworking/plugins/releases/download/v1.7.1/cni-plugins-linux-$ARCH-v1.7.1.tgz
tar -C /opt/cni/bin -xzf cni-plugins-linux-$ARCH-v1.7.1.tgz
Flannel requires the br_netfilter module to start and from version 1.30 kubeadm doesn't check if the module is installed and Flannel will not rightly start in case the module is missing.
Getting started on Docker
flannel is also widely used outside of kubernetes. When deployed outside of kubernetes, etcd is always used as the datastore. For more details integrating flannel with Docker see Running
Documentation
- Building (and releasing)
- Configuration
- Backends
- Running
- Troubleshooting
- Projects integrating with flannel
Contact
- Slack:
- #k3s on Rancher Users Slack
- #flannel-users on Calico Users Slack
- Planning/Roadmap: milestones, roadmap
- Bugs: issues
Community Meeting
The Flannel Maintainer Community runs a meeting on every other Thursday at 8:30 AM PST. This meeting is used to discuss issues, open pull requests, and other topics related to Flannel should the need arise.
The meeting agenda and Teams link can be found here: Flannel Community Meeting Agenda
Contributing
See CONTRIBUTING for details on submitting patches and the contribution workflow.
Reporting bugs
See reporting bugs for details about reporting any issues.
Licensing
Flannel is under the Apache 2.0 license. See the LICENSE file for details.
Top Related Projects
Production-Grade Container Scheduling and Management
Container Network Interface - networking for Linux containers
Cloud native networking and network security
eBPF-based Networking, Security, and Observability
Simple, resilient multi-host containers networking and more.
flannel is a network fabric for containers, designed for Kubernetes
Convert
designs to code with AI
Introducing Visual Copilot: A new AI model to turn Figma designs to high quality code using your components.
Try Visual Copilot