DevOps Blog

Kubernetes Networking Basics

5 minute read
Toye Idowu, Shanika Wickramasinghe

Kubernetes networking is an integral part of managing and making communication easier within a Kubernetes cluster. It manages a wide range of operations, such as:

  • Handling internal container communication
  • Exposing the containers to the internet

This article introduces you to key Kubernetes networking concepts.

(This article is part of our Kubernetes Guide. Use the right-hand menu to navigate.)

Networking in Kubernetes

First, let’s review the basic networking types in a Kubernetes cluster:

  • Container-to-container networking
  • Pod-to-pod networking
  • Pod-to-service networking
  • Internet-to-service networking

Now, let’s take a look at how each type operates to provide connectivity within the cluster.

Kubernetes Clusters

Container-to-container networking

In the most basic configurations, container to container communication within a single pod takes place via the localhost and port numbers. This is possible because the containers in the pod are located in the same network namespace.

A network namespace is a logical networking stack that includes routes, firewall rules, and network devices which provides a complete network stack for processes within the namespace. There can be multiple namespaces on the same virtual machine.

In Kubernetes, there is a hidden container called a pause container that runs on all the pods in Kubernetes. This container keeps the namespace open even if all the other containers in the pod are nonfunctional.

A new networking namespace is assigned to each pod created. Containers within the pod can use this networking namespace via localhost. However, a user must be aware of the port conflicts: If the containers use the same port, networking issues will arise within the containers.

Pod-to-pod networking

Each pod in a Kubernetes node gets assigned a dedicated IP address with a dedicated namespace. Due to an automatic assignment, users do not need to explicitly create links between pods. This allows us to tread pod networking operations such as port allocation, load balancing, and naming similar to a virtual machine or a physical host.

Kubernetes imposes three fundamental requirements on any network.

  1. Pods on a node can communicate with all pods on all nodes without NAT.
  2. Agents on a node (system daemons, kubelet) can communicate with all the pods on that specific node.
  3. Pods in a host network of a node can communicate with all pods on all nodes without NAT (Only for platforms such as Linux, which supports pods running on the host network)

Communication between pods in the same node

Kubernetes creates a virtual ethernet adapter for each pod, and it is connected to the network adaptor of the node.

When a network request is made, the pod connects through the virtual ethernet device associated with the pod and tunnels the traffic to the ethernet device of the node.

In a Kubernetes node, there is a network bridge called cbr0, which facilitates the communication between pods in a node. All the pods are a part of this network bridge. When a network request is made, the bridge checks for the correct destination (pod) and directs the traffic.

Communication between pods in different nodes

When the requested IP address cannot be found within the pod, the network bridge directs the traffic to the default gateway. This would then look for the IP within the cluster level.

Kubernetes keeps a record of all the IP ranges associated with each node. Then an IP address is assigned to the pods within the nodes from the range assigned to the node. When a request is made to an IP address in the cluster, it will:

  1. Look for the IP range for the requested IP.
  2. Then direct it to the specific node and then to the correct pod.

Pod-to-service networking

A service is an abstraction that routes traffic to a set of pods. In other words, a service will map a single IP address to a set of pods.

When a network request is made, the service proxies the request to the necessary pod. This proxy service happens via a process called Kube-proxy that runs inside each node.

The service would get its IP within the cluster when a request first reaches the service IP before being forwarded to the actual IP of the pod. This is an important feature in Kubernetes—it decouples the dependency of networking directly to each pod. The pods can be created and destroyed without worrying about network connectivity. This is because the service will automatically update its endpoints when the pods change with the IP of the pod.

The service would get its IP within the cluster. Any request first reaches the service IP before being forwarded to the actual IP of the Pod. This is an important feature in Kubernetes as it decouples the dependency of networking directly to each Pod. Thus, pods can get created and destroyed without worrying about network connectivity as the service will automatically update its endpoints with the IP of the pod that it targets as the Pods changes.

A service knows which Pods to target using the label selector. The label selector is the core grouping primitive in Kubernetes; via a label selector, the client or user can identify a set of objects.

  • The label selector will look for the specified labels in each Pod and match them with the service accordingly.
  • Without the selector, properly configured services cannot keep track of the Pods and will lead to communication issues within the cluster.

DNS for internal routing in a Kubernetes cluster

Each cluster comes with inbuilt service for DNS resolution.

  • A domain name is assigned to each service in the cluster
  • A DNS name is assigned to the Pods.

(These can be manually configured via the YAML file using the hostname and subdomain fields.)

When a request is made via the domain name, the Kubernetes DNS service will resolve the request and point it to the necessary internal service from the service. The Kube-proxy process will point it to the endpoint pod.

Internet-to-service networking

In the above sections, we have covered the internal networking basics of a Kubernetes cluster. The next step is to expose the containerized application to the internet.

Unlike the previous networking types, exposing the Kubernetes cluster to the internet depends on both the:

  • Underlying cluster infrastructure
  • Network configurations

The most common method used to handle traffic is by using a load balancer. In Kubernetes, we can configure load balancers. When a service is created, users can:

  • Specify a load balancer that will expose the IP address of the load balancer.
  • Direct traffic to the load balancer and communicate with the service through it.

Tools for Kubernetes networking

There are plenty of tools that we can use to configure networking within Kubernetes while adhering to all the guidelines and requirements imposed by the cluster.

  • Cilium is an open-source software for providing and securing network connectivity between application containers. Cilium is L7/HTTP aware and can enforce network policies from L3-L7 using identity-based security models.
  • Flannel is a simple network overlay that meets Kubernetes requirements.
  • Kube-router is a turnkey solution for Kubernetes networking. Kube-router provides a lean and powerful alternative to default Kubernetes network components from a single DaemonSet/Binary.
  • Antrea is a Kubernetes-native open source networking solution that leverages Open vSwitch as the networking data plane.

And here are cloud vendor-specific container network interfaces:

Please refer to the official Kubernetes documentation for the full list of available network tools.

K8s networking optimizes performance

Kubernetes cluster networking can be configured to suit any user requirements to optimize the performance of the containerized application and the cluster.

Related reading

Beginning Kubernetes: Knowledge & Tutorials for Getting Started

In this comprehensive e-book, we take a deep dive into the distributed computing platform Kubernetes, also known as K8s.

These postings are my own and do not necessarily represent BMC's position, strategies, or opinion.

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About the author

Toye Idowu

Olatoye is a Certified Kubernetes Administrator and experienced DevOps/Platform engineering Consultant with a demonstrated history of working in the Information Technology and Services industry.

About the author

Shanika Wickramasinghe

Shanika Wickramasinghe is a software engineer by profession and a graduate in Information Technology. Her specialties are Web and Mobile Development. Shanika considers writing the best medium to learn and share her knowledge. She is passionate about everything she does, loves to travel, and enjoys nature whenever she takes a break from her busy work schedule. You can connect with her on LinkedIn.