Скачать или смотреть Kubernetes Horizontal Pod Autoscaler | Using Horizontal Pod Autoscaler in Kubernetes | Intro to HPA

Kubernetes Horizontal Pod Autoscaler | Using Horizontal Pod Autoscaler in Kubernetes | Intro to HPA.

A HorizontalPodAutoscaler (HPA for short) automatically updates a workload resource (such as a Deployment or StatefulSet), with the aim of automatically scaling the workload to match demand.

Horizontal scaling means that the response to increased load is to deploy more Pods. This is different from vertical scaling, which for Kubernetes would mean assigning more resources (for example: memory or CPU) to the Pods that are already running for the workload.

If the load decreases, and the number of Pods is above the configured minimum, the HorizontalPodAutoscaler instructs the workload resource (the Deployment, StatefulSet, or other similar resource) to scale back down.

In Kubernetes, a HorizontalPodAutoscaler automatically updates a workload resource (such as a Deployment or StatefulSet), with the aim of automatically scaling the workload to match demand.

Horizontal scaling means that the response to increased load is to deploy more Pods. This is different from vertical scaling, which for Kubernetes would mean assigning more resources (for example: memory or CPU) to the Pods that are already running for the workload.

If the load decreases, and the number of Pods is above the configured minimum, the HorizontalPodAutoscaler instructs the workload resource (the Deployment, StatefulSet, or other similar resource) to scale back down.

This document walks you through an example of enabling HorizontalPodAutoscaler to automatically manage scale for an example web app. This example workload is Apache httpd running some PHP code
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⚡ KUBERNETES ⚡
Kubernetes is a portable, extensible, open-source platform for managing containerized workloads and services, that facilitates both declarative configuration and automation. It has a large, rapidly growing ecosystem. Kubernetes services, support, and tools are widely available.

The name Kubernetes originates from Greek, meaning helmsman or pilot. K8s as an abbreviation results from counting the eight letters between the "K" and the "s". Google open-sourced the Kubernetes project in 2014. Kubernetes combines over 15 years of Google's experience running production workloads at scale with best-of-breed ideas and practices from the community

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⭐️ Course Contents ⭐️
K8s Volumes explained
Kubernetes Networking
Kubernetes Namespaces
(6:05:10) Kubernetes Pods
(6:05:10) Kubernetes Secrets
0:00 - Intro
0:20 - The need for persistent storage & storage requirements
2:05 - Persistent Volume (PV)
6:33 - Local vs Remote Volume Types
7:38 - Who creates the PV and when? (Kubernetes Administrator and Kubernetes User Role)
9:03 - Persistent Volume Claim (PVC)
10:33 - Levels of volume abstractions
12:17 - Why are these abstractions good?
13:40 - ConfigMap and Secret as volume types
15:52 - Multiple and different volume types in 1 pod
17:12 - Storage Class (SC)