Kubernetes Daemonset

Kubernetes Daemonset
Written by Sagar RabidasDecember 18, 2021
11 min read
Sagar Rabidas

Software Developer

In this blog, we will discuss Kubernetes Daemonset.

Definition of Kubernetes Daemon set

Kubernetes makes sure that an application has ample resources, runs reliably, and maintains high availability throughout its lifecycle. The location of the app within the cluster is not a priority.

A DaemonSet allows you to overcome Kubernetes’ scheduling limitations and makes sure that a specific app gets deployed on all the nodes within the cluster.m The deployed Pods usually contain background processes that need to be disseminated throughout the entire cluster.

A DaemonSet is typically described using a YAML file. The fields in the YAML file give you added control of the Pod deployment process. A good example is utilizing labels to start specific Pods on a limited subset of nodes.

What is Kubernetes Daemon's set?

The Daemon set has normally defined with a YAML file and the additives within the YAML documents deliver the person additional management over the deployment method of the pod. Pods are the easy items deployed in Kubernetes which signifies the single instances of an executable manner in the cluster. Pod incorporates one or multiple packing containers which might be controlled as single resources.

A daemon set is a dynamic object in Kubernetes which is managed to utilize a controller. The user can set the favored country that represents the unique pods that want to exist on each node. The compromise in the manage loop can evaluate the cutting-edge sensible nation with the favored kingdom. If the sensible node, doesn’t fit the matching pod, then the controller of the daemon set creates a new one mechanically. This automatic technique has all lately created nodes and present nodes. The pods evolved utilizing the controller of the daemon set are not noted by the Kubernetes scheduler and gift because of the identical node itself.

The Use Case for the Daemon set

The use case for the Daemon set is as follows,

To execute a daemon for storage of cluster on every node, use: -glusterd-ceph.

To execute a daemon for the collection of logs on every node, use: fluent-logstash.

To execute a daemon for monitoring of nodes on every node, use: -collected, -datadog agent as Prometheus node exporter.

As the use case is complex, the user can deploy many possible Daemonsets for a typical kind by a variety of flags, CPU requests, and memory units for different types of hardware.

Daemon set can enhance the performance of the cluster by pod deployment to execute maintenance activities and support services for every node. The background processes like monitoring apps in Kubernetes and other services must be present along with clusters to offer timely and relevant services.

It is primarily tailored for lengthy-jogging services like series of logs, monitoring of node assets, storage in clusters, and pods related to infrastructure. It's far widespread for a daemon set to run on an unmarried daemon in the course of all of the nodes within the cluster. The multiple daemon set can manage one kind of daemon set with the aid of applying exclusive labels. This label can discover guidelines in deployment based on the conduct of individual nodes. Daemonsets are deployed at the history obligations which the user can execute on all the viable nodes however it doesn’t need any intervention. The user may have a daemon set for each kind of daemon to execute on all nodes. The consumer can also execute a couple of daemons set for every unmarried daemon type. However, can use numerous configurations for various hardware models and useful resource necessities.

Create a Daemon set

  • To create a Daemon set the following steps are involved.
  • The Daemon set is developed in a YAML file with a few parts.
  • It requires apiVersion
  • It requires the type or kind of the behavior for Daemon to set
  • It needs the metadata for the Daemon set
  • It needs spec_template for pod definition which the user needs to execute on all nodes.
  • It needs spec_selector to manage the pods for the Daemon set and this kind must be label specific in a template of pods. The selector name defined in the template is applied in the selector. But this name cannot be changed once the Daemon set is created without leaving the pods created before the Daemon set.
  • The spec_template-spec-node selector is used to execute only the nodes subset which suits the selector
  • Spec-template-spec-affinity is used to execute on nodes subset which has affinity match.
  • Once the configuration is completed, Daemon set is created in the cluster.

Methods to communicate with pods Kubernetes Daemon set

The user can transfer data from other pods to a pod of Daemon set executed on the node. The user can transmit data metrics to pod monitoring in two ways,

The pod spec in the Daemon set has a specific host port to uncover it on the node. Then it can interact directly with the IP of the node which is executed on it.

Using the same pod selector, the service is created as a Daemon set and then it is used to reach the Daemon set. The limitation of this service is that a Daemon set of a pod is random to receive the request. This implies that the request may pass over the network instead of hanging on a similar pod as the requested pod.

The possible patterns for communicating daemon pods are push, a node with known port, DNS, and service.

In push, the pods placed in the Daemon sets are customized to transfer the updates to other services like stats database and they do have no clients.

In NodeIP with Known port, the Daemon set pods use the host port, and so the pods are connected through node IPs. The client understands the use nodeIP list and is also aware of the port conventions.

DNS develop headless service and explore Daemon set using endpoint to retrieve reports from DNS

In-Service, it creates the service with a similar pod selector and uses it to reach the daemon of the random node.


Hence, the feature of the Daemon set is used to check that few or all the pods are executed and scheduled on every available node. It executes the copy of the desired pod throughout all the nodes. So when a new node is joined to the cluster of Kubernetes, the new pod is added to the recently attached node.

kubernetes daemonset
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