Alycia  Klein

Alycia Klein


Kubernetes Tutorial | Full In-depth Course

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.

πŸ“šCourse Contents πŸ“š
⌚ (00:00) Intro
⌚ (01:44) What is Kubernetes?
⌚ (05:30) Kubernetes Architechture
⌚ (11:39) Kubernetes Components
πŸ“ Node & Pod
πŸ“ Service & Ingress
πŸ“ ConfigMap & Secret
πŸ“ Volumes
πŸ“ Deployment & StatefulSet
⌚ (20:11) Installing kubbectl and minikube
πŸ“ What is minikube?
πŸ“ What is kubectl?
πŸ“ Install minikube and kubectl
πŸ“ create and start a minikube cluster in the local environment
⌚ (30:59) Kubernetes CLI Commands with Example (kubectl)
πŸ“ Create a pod/deployment
πŸ“ Get status of different components
πŸ“ Change the pod/deployment configuration
πŸ“ Debugging pods
πŸ“ Delete pod/deployment
⌚ (46:13) Kubernetes YAML Configuration
πŸ“ Different attributes of a Kubernetes config file
πŸ“ Creating config files
⌚ (57:58) Kubernetes Namespace
πŸ“ What is a Namespace?
πŸ“ 4 Default Namespaces
πŸ“ Create a Namespace and resources
πŸ“ Why use Namespaces?
⌚ (01:08:52) Kubernetes Healthchecks
πŸ“ What is Heathcheck?
πŸ“ Liveness Probe
πŸ“ Readiness Probe
⌚ (01:14:49) Ingress Service
πŸ“ What is Ingress?
πŸ“ Creating YAML Config Files for Ingress
πŸ“ How to configure Ingress in your cluster?
πŸ“ What is Ingress Controller?
πŸ“ Demo: Configure Ingress in Minikube
πŸ“ Ingress Config based on Paths
πŸ“ Ingress Config based on Domain and Subdomain
⌚ (01:36:32) Statefulset in Kubernetes
πŸ“ What is StatefulSet?
πŸ“ Deployment of Stateful and Stateless Application
πŸ“ Deployment vs StatefulSet
πŸ“ Pod Identity
πŸ“ Scaling database applications: Master and Worker Pods
⌚ (01:47:42) Kubernetes Services
πŸ“ What is a Service?
πŸ“ ClusterIP Services
πŸ“ Headless Services
πŸ“ NodePort Services
πŸ“ LoadBalancer Services
⌚ (01:58:07) Volumes in Kubernetes
πŸ“ Persistent Volume (PV)
πŸ“ Persistent Volume Claim (PVC)
πŸ“ Storage Class (SC)
⌚ (02:09:10) Deploying MIcroservices App to Kubernetes Cluster
πŸ“ Microservice Overview
πŸ“ Adding Dockerfile and Dockerfile Plugins
πŸ“ Adding configurations for Service Registry
πŸ“ Creating Kubernetes Config files (YAML)
πŸ“ Implementing API Gateway
πŸ“ Deploying applications to Kubernetes Cluster
πŸ“ Scaling Application
πŸ“ Kubernetes Dashboard
πŸ“ Deleting resources from Kubernetes Cluster

---------------------------- Links ------------------------------------------------
Volumes GitHub Link:
Ingress GitHub Link:
K8s Microservices GitHub Link:
GitHub Kubernetes files:
Kube Forwarder:
HealthCheck Doc Link:

#kubernetes #devops

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Buddha Community

Kubernetes Tutorial | Full In-depth Course
Christa  Stehr

Christa Stehr


50+ Useful Kubernetes Tools for 2020 - Part 2


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 platformβ€”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.

(State of Kubernetes and Container Security, 2020)

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.

(State of Kubernetes and Container Security, 2020)

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Pawan kumar

Pawan kumar


Python tutorial Full Course from scratch

Go to playlist and learn full Python Course in free. No charges are applied. 100% FREE course.

subscribe for more #interesting tutorials and courses.

#python #full course #free #beginners #python full course #tutorial

Sival Alethea

Sival Alethea


SQL Tutorial - Full Database Course for Beginners. DO NOT MISS!!!

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
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akshay L

akshay L


Kubernetes Tutorial for Beginners | Kubernetes Course | Kubernetes Training | Intellipaat

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.

#kubernetes tutorial for beginners #kubernetes course

Maud  Rosenbaum

Maud Rosenbaum


Kubernetes in the Cloud: Strategies for Effective Multi Cloud Implementations

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.

Kubernetes: Your Multi Cloud Strategy

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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