In this Kubernetes tutorial, you will learn Kubernetes, features of Kubernetes, how Kubernetes works, the architecture of Kubernetes, different components and resources of Kubernetes, best practices, and how to deploy applications to Kubernetes.
📚Course Contents 📚
⌚ (00:00) Intro
⌚ (01:44) What is Kubernetes?
⌚ (05:30) Kubernetes Architechture
⌚ (11:39) Kubernetes Components
📍 Node & Pod
📍 Service & Ingress
📍 ConfigMap & Secret
📍 Deployment & StatefulSet
⌚ (20:11) Installing kubbectl and minikube
📍 What is minikube?
📍 What is kubectl?
📍 Install minikube and kubectl
📍 create and start a minikube cluster in the local environment
⌚ (30:59) Kubernetes CLI Commands with Example (kubectl)
📍 Create a pod/deployment
📍 Get status of different components
📍 Change the pod/deployment configuration
📍 Debugging pods
📍 Delete pod/deployment
⌚ (46:13) Kubernetes YAML Configuration
📍 Different attributes of a Kubernetes config file
📍 Creating config files
⌚ (57:58) Kubernetes Namespace
📍 What is a Namespace?
📍 4 Default Namespaces
📍 Create a Namespace and resources
📍 Why use Namespaces?
⌚ (01:08:52) Kubernetes Healthchecks
📍 What is Heathcheck?
📍 Liveness Probe
📍 Readiness Probe
⌚ (01:14:49) Ingress Service
📍 What is Ingress?
📍 Creating YAML Config Files for Ingress
📍 How to configure Ingress in your cluster?
📍 What is Ingress Controller?
📍 Demo: Configure Ingress in Minikube
📍 Ingress Config based on Paths
📍 Ingress Config based on Domain and Subdomain
⌚ (01:36:32) Statefulset in Kubernetes
📍 What is StatefulSet?
📍 Deployment of Stateful and Stateless Application
📍 Deployment vs StatefulSet
📍 Pod Identity
📍 Scaling database applications: Master and Worker Pods
⌚ (01:47:42) Kubernetes Services
📍 What is a Service?
📍 ClusterIP Services
📍 Headless Services
📍 NodePort Services
📍 LoadBalancer Services
⌚ (01:58:07) Volumes in Kubernetes
📍 Persistent Volume (PV)
📍 Persistent Volume Claim (PVC)
📍 Storage Class (SC)
⌚ (02:09:10) Deploying MIcroservices App to Kubernetes Cluster
📍 Microservice Overview
📍 Adding Dockerfile and Dockerfile Plugins
📍 Adding configurations for Service Registry
📍 Creating Kubernetes Config files (YAML)
📍 Implementing API Gateway
📍 Deploying applications to Kubernetes Cluster
📍 Scaling Application
📍 Kubernetes Dashboard
📍 Deleting resources from Kubernetes Cluster
---------------------------- Links ------------------------------------------------
Volumes GitHub Link: https://bit.ly/3eCBxgF
Ingress GitHub Link: https://bit.ly/3tDyFX0
K8s Microservices GitHub Link: https://bit.ly/31ZoKic
GitHub Kubernetes files: https://bit.ly/39VSrVT
Kube Forwarder: https://github.com/pixel-point/kube-forwarder
HealthCheck Doc Link: https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-startup-probes/
Last year, we provided a list of Kubernetes tools that proved so popular we have decided to curate another list of some useful additions for working with the platform—among which are many tools that we personally use here at Caylent. Check out the original tools list here in case you missed it.
According to a recent survey done by Stackrox, the dominance Kubernetes enjoys in the market continues to be reinforced, with 86% of respondents using it for container orchestration.
And as you can see below, more and more companies are jumping into containerization for their apps. If you’re among them, here are some tools to aid you going forward as Kubernetes continues its rapid growth.
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In this course, we’ll be looking at database management basics and SQL using the MySQL RDBMS.
⭐️ Contents ⭐
⌨️ (0:00) Introduction
⌨️ (2:36) What is a Database?
⌨️ (23:10) Tables & Keys
⌨️ (43:31) SQL Basics
⌨️ (52:26) MySQL Windows Installation
⌨️ (1:01:59) MySQL Mac Installation
⌨️ (1:15:49) Creating Tables
⌨️ (1:31:05) Inserting Data
⌨️ (1:38:17) Constraints
⌨️ (1:48:11) Update & Delete
⌨️ (1:56:11) Basic Queries
⌨️ (2:08:37) Company Database Intro
⌨️ (2:14:05) Creating Company Database
⌨️ (2:30:27 ) More Basic Queries
⌨️ (2:26:24) Functions
⌨️ (2:45:13) Wildcards
⌨️ (2:53:53) Union
⌨️ (3:01:36) Joins
⌨️ (3:11:49) Nested Queries
⌨️ (3:21:52) On Delete
⌨️ (3:30:05) Triggers
⌨️ (3:42:12) ER Diagrams Intro
⌨️ (3:55:53) Designing an ER Diagram
⌨️ (4:08:34) Converting ER Diagrams to Schemas
📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=HXV3zeQKqGY&list=PLWKjhJtqVAblfum5WiQblKPwIbqYXkDoC&index=8
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In this Kubernetes Tutorial for Beginners Video, you will learn what is Kubernetes and its features, Architecture of Kubernetes, Kubernetes Objects & YAML Files, Annotation, Field selectors, Labels, namespace, Kubectl Basic Commands, Machine Learning on Kubernetes, Google Kubernetes Engine, Hands-on demo on Kubernetes on AWS, Kubernetes Interview Questions.
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Kubernetes is a highly popular container orchestration platform. Multi cloud is a strategy that leverages cloud resources from multiple vendors. Multi cloud strategies have become popular because they help prevent vendor lock-in and enable you to leverage a wide variety of cloud resources. However, multi cloud ecosystems are notoriously difficult to configure and maintain.
This article explains how you can leverage Kubernetes to reduce multi cloud complexities and improve stability, scalability, and velocity.
Maintaining standardized application deployments becomes more challenging as your number of applications and the technologies they are based on increase. As environments, operating systems, and dependencies differ, management and operations require more effort and extensive documentation.
In the past, teams tried to get around these difficulties by creating isolated projects in the data center. Each project, including its configurations and requirements were managed independently. This required accurately predicting performance and the number of users before deployment and taking down applications to update operating systems or applications. There were many chances for error.
Kubernetes can provide an alternative to the old method, enabling teams to deploy applications independent of the environment in containers. This eliminates the need to create resource partitions and enables teams to operate infrastructure as a unified whole.
In particular, Kubernetes makes it easier to deploy a multi cloud strategy since it enables you to abstract away service differences. With Kubernetes deployments you can work from a consistent platform and optimize services and applications according to your business needs.
The Compelling Attributes of Multi Cloud Kubernetes
Multi cloud Kubernetes can provide multiple benefits beyond a single cloud deployment. Below are some of the most notable advantages.
In addition to the built-in scalability, fault tolerance, and auto-healing features of Kubernetes, multi cloud deployments can provide service redundancy. For example, you can mirror applications or split microservices across vendors. This reduces the risk of a vendor-related outage and enables you to create failovers.
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