Kubernetes Horizontal Pod Autoscaler

1. What does the Kubernetes horizontal pod Autoscaler do?
2. How do you autoscale pods in Kubernetes?
3. What is Kubernetes Autoscaler?
4. What is horizontal and vertical scaling in Kubernetes?
5. What is POD in Kubernetes?
6. How do you increase the number of pods?
7. What conditions are required for the Autoscaler to decide to delete a node?
8. What is the purpose of auto scaling?
9. How do you implement Autoscaling?
10. How do I know if Autoscaling is enabled?
11. How is horizontal scaling done in Kubernetes?
12. What is vertical scaling and horizontal scaling?
13. What is vertical Autoscaling?

What does the Kubernetes horizontal pod Autoscaler do?

The Horizontal Pod Autoscaler changes the shape of your Kubernetes workload by automatically increasing or decreasing the number of Pods in response to the workload's CPU or memory consumption, or in response to custom metrics reported from within Kubernetes or external metrics from sources outside of your cluster.

How do you autoscale pods in Kubernetes?

Setting Up Autoscaling on GCE

1. Run & Expose PHP-Apache Server. To demonstrate autoscaling we will use a custom docker image based on php-apache server. ...
2. Starting Horizontal Pod Autoscaler. Now that the deployment is running, we will create a Horizontal Pod Autoscaler for it. ...
3. Raising the Load. ...
4. Stop Load.

What is Kubernetes Autoscaler?

The autoscaler checks the cluster for pods that cannot be scheduled on any existing nodes because of inadequate CPU or memory resources or because the pod's node affinity rules or taint tolerations do not match an existing node.

What is horizontal and vertical scaling in Kubernetes?

Horizontal Scaling means modifying the compute resources of an existing cluster, for example, by adding new nodes to it or by adding new pods by increasing the replica count of pods (Horizontal Pod Autoscaler). Vertical Scaling means to modify the attributed resources (like CPU or RAM) of each node in the cluster.

What is POD in Kubernetes?

Pods are the smallest, most basic deployable objects in Kubernetes. A Pod represents a single instance of a running process in your cluster. Pods contain one or more containers, such as Docker containers. When a Pod runs multiple containers, the containers are managed as a single entity and share the Pod's resources.

How do you increase the number of pods?

Cluster scaling, however, is based on the resources block of the pod spec, specifically resource requests. Kubernetes monitors the amount of resource requests each pod on a node makes to determine how full that node is. If all nodes are full and there is a pod that is pending scheduling a new node is created.

What conditions are required for the Autoscaler to decide to delete a node?

What conditions are required for the autoscaler to decide to delete a node? a) If the overall cluster is underutilized, the least busy node is deleted. b) If a node is underutilized and there are no Pods currently running on the Node. c) If the overall cluster is underutilized, a randomly selected node is deleted.

What is the purpose of auto scaling?

Autoscaling, also spelled auto scaling or auto-scaling, and sometimes also called automatic scaling, is a method used in cloud computing that dynamically adjusts the amount of computational resources in a server farm - typically measured by the number of active servers - automatically based on the load on the farm.

How do you implement Autoscaling?

How to Auto Scale

1. Under navigation pane, Auto Scaling => Auto Scaling Groups => Create Auto Scaling group.
2. Login to your EC2 console and select a region.
3. Launch Configuration => Create a new launch configuration => Next.
4. Choose your desired AMI and instance type.

How do I know if Autoscaling is enabled?

Click the Nodes tab. Under Node Pools, click the name of the node pool you want to modify, then click edit Edit. Under Size, select the Enable autoscaling checkbox. Change the values of the Minimum number of nodes and Maximum number of nodes fields as desired.

How is horizontal scaling done in Kubernetes?

Kubernetes 1.6 adds support for scaling based on multiple metrics. You can use the autoscaling/v2beta2 API version to specify multiple metrics for the Horizontal Pod Autoscaler to scale on. Then, the Horizontal Pod Autoscaler controller will evaluate each metric, and propose a new scale based on that metric.

What is vertical scaling and horizontal scaling?

Horizontal scaling means scaling by adding more machines to your pool of resources (also described as “scaling out”), whereas vertical scaling refers to scaling by adding more power (e.g. CPU, RAM) to an existing machine (also described as “scaling up”).

What is vertical Autoscaling?

Overview. Vertical Pod autoscaling frees you from having to think about what values to specify for a container's CPU requests and limits and memory requests and limits. The autoscaler can recommend values for CPU and memory requests and limits, or it can automatically update the values.