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Kubernetes ReplicaSet Tutorial

Kubernetes ReplicaSet Tutorial
  1. What is a Kubernetes ReplicaSet?
  2. What is the purpose of a ReplicaSet?
  3. How do you scale a ReplicaSet?
  4. How do you make a ReplicaSet?
  5. What is the difference between Replicaset and replication controller?
  6. What is a Replicaset?
  7. What is the difference between a pod and a node?
  8. What is difference between deployment and StatefulSet?
  9. Can a deployment have more than one Replicaset?
  10. Can Kubernetes scale down to zero?
  11. What is Kubectl scale?
  12. How do you scale deployments?

What is a Kubernetes ReplicaSet?

A ReplicaSet is one of the Kubernetes controllers that makes sure we have a specified number of pod replicas running. ... Label Selectors is used to identify a set of objects in Kubernetes.

What is the purpose of a ReplicaSet?

A ReplicaSet's purpose is to maintain a stable set of replica Pods running at any given time. As such, it is often used to guarantee the availability of a specified number of identical Pods.

How do you scale a ReplicaSet?

Scaling And Autoscaling ReplicaSets

  1. Edit the controllers configuration by using kubectl edit rs ReplicaSet_name and change the replicas count up or down as you desire.
  2. Use kubectl directly. For example, kubectl scale --replicas=2 rs/web .

How do you make a ReplicaSet?

Create a new file and add the following replica set definition into it. The above object definition will create three replicas of the pod. First, check the existing replica set using the following command.

What is the difference between Replicaset and replication controller?

The major difference difference between a replication controller and replica set is that the rolling-update command works with Replication Controllers, but won't work with a Replica Set. This is because Replica Sets are meant to be used as the backend for Deployments.

What is a Replicaset?

A replica set is a group of mongod instances that host the same data set. In a replica, one node is primary node that receives all write operations. All other instances, such as secondaries, apply operations from the primary so that they have the same data set.

What is the difference between a pod and a node?

A Pod always runs on a Node. A Node is a worker machine in Kubernetes and may be either a virtual or a physical machine, depending on the cluster. ... A Node can have multiple pods, and the Kubernetes master automatically handles scheduling the pods across the Nodes in the cluster.

What is difference between deployment and StatefulSet?

A StatefulSet is another Kubernetes controller that manages pods just like Deployments. But it differs from a Deployment in that it is more suited for stateful apps. A stateful application requires pods with a unique identity (for example, hostname). One pod should be able to reach other pods with well-defined names.

Can a deployment have more than one Replicaset?

2 Answers. It is meant to be a deployment of each microservice. You can also manage the quantity of "deployed services" of each microservices type. So for instance, if you want to deploy Service A (Docker image with an Java service) 5 times, you have a deployment resulting 5 pods.

Can Kubernetes scale down to zero?

Kubernetes by default allows you to scale to zero, however you need something that can broker the scale-up events based on an "input event", essentially something that supports an event driven architecture. ... Allowing the number of pods to be scaled down to zero can dramatically increase the utilization of your hardware.

What is Kubectl scale?

The kubectl scale command lets your instantaneously change the number of replicas you want to run your application. To use kubectl scale , you specify the new number of replicas by setting the --replicas flag.

How do you scale deployments?

The deployment creates pods by way of a specification from a template. With a deployment, it is possible to quickly scale up or down a set of identical pods. Say, for instance, you want to deploy a set of identical NGINX pods to your cluster. By using a deployment, you can very quickly scale those pods to meet demand.

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