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Submitted URL: https://www.kubernetestraining.io/
Effective URL: https://kubernetestraining.io/
Submission: On October 07 via api from US — Scanned from DE
Effective URL: https://kubernetestraining.io/
Submission: On October 07 via api from US — Scanned from DE
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Blog Course ENROLL MASTER KUBERNETES From Pods to Production: Your Kubernetes Journey Starts Here ENROLL POWERING MODERN CLOUD APPLICATIONS Learning Kubernetes means mastering the tool that runs mission-critical apps for companies like Spotify, Airbnb, and Google. It's a valuable skill whether you're building startups or modernizing enterprise systems. Kubernetes revolutionizes application deployment and management by automating complex operations across any environment, from your laptop to the cloud. It handles scaling, ensures high availability, optimizes resource usage, and simplifies networking and storage management. As a result, Kubernetes allows you to focus on building innovative applications without getting bogged down by infrastructure complexity, even as you scale. While some may wonder "is Kubernetes hard to learn?" our course is designed to make the learning process smooth and accessible. ENROLL WHAT WILL YOU DEPLOY? Throughout this course, you'll gain hands-on experience deploying and managing a suite of microservices, simulating real-world application architectures. You'll work with core Kubernetes concepts like Pods, Services, and Deployments, and advance to more complex topics such as StatefulSets, Persistent Volumes, and Ingress Controllers. You'll use Helm charts for streamlined deployments, implement Horizontal Pod Autoscalers for dynamic scaling, and explore Kubernetes Operators for advanced automation. By the end, you'll deploy a full-stack, cloud-native application to AWS, incorporating industry-standard tools and best practices for Kubernetes orchestration. This hands-on Kubernetes training will give you practical skills that are highly sought after in the industry. WE COVER THESE TOPICS Container Orchestration Service Discovery Kubernetes Namespaces Self-healing Mechanisms Deployment Strategies Rolling Updates Health Probes StatefulSet Applications Persistent Storage Configuration Management Secrets Handling Horizontal Pod Autoscaling Ingress Controllers Helm Charts Package Management Kubernetes Operators AWS Deployment Resource Management IN THIS COURSE, WE DIVE DEEP INTO KUBERNETES Exploring everything you need to manage and scale containerized applications. We’ll cover exciting topics like deploying applications, managing clusters, using ConfigMaps and Secrets, working with Persistent Volumes, setting up Ingress Controllers, understanding Kubernetes networking, autoscaling, monitoring with Prometheus, and so much more! I’ve structured the course so that each Kubernetes concept is broken down into manageable sections, allowing you to skip certain parts if you’re already familiar with them or prefer to learn at your own pace. MASTER KUBERNETES WITH 13 MODULES, 52+ VIDEOS, AND 12 HOURS OF CONTENT 20 Modules 50+ Lessons 7 Hours Dive into Kubernetes with a structured approach — not too fast, not too slow. Dedicate a few hours a day, and you'll master it in a week. Real-world debugging, light-hearted moments, and practical insights included. MEET RAYAN SLIM Rayan is a full-stack software developer based in Ottawa, Canada, currently serving as an acting tech lead at Canada's IRCC. His primary focus is on establishing infrastructure monitoring tools to gather health metrics from cloud-native applications. Rayan also plays a pivotal role in mentoring other developers, guiding them in building Spring Boot applications that incorporate Enterprise Integration Patterns with the Apache Camel framework. His leadership extends to teaching developers how to deploy their applications on the Red Hat OpenShift platform using Helm, the Kubernetes package manager. Beyond his professional responsibilities, Rayan is passionate about exploring new technologies, with a keen interest in Artificial Intelligence and Data Visualization. In his spare time, he enjoys teaching and sharing his knowledge with others. VIDEOS & MODULES 🎧 Closed Captioning and Transcripts are provided for every video Module 1 WHAT'S THE DIFFERENCE BETWEEN DOCKER AND KUBERNETES? 01 WHAT'S THE DIFFERENCE BETWEEN DOCKER AND KUBERNETES? 01:39 Module 2 WHY KUBERNETES DOMINATES THE CLOUD 02 WHY KUBERNETES DOMINATES THE CLOUD 09:06 Module 3 DOWNLOADS AND SETUP 03 DOWNLOADS AND SETUP 05:08 04 VS CODE: KUBERNETES EXTENSION SETUP 00:56 Module 4 PODS AND CONTAINERS 05 PODS AND CONTAINERS 37:32 06 EXTRA PRACTICE (GRADE SUBMISSION API) 15:34 Module 5 SERVICE DISCOVERY 07 SERVICE DISCOVERY 18:36 Module 6 NAMESPACE 08 NAMESPACE 12:08 Module 7 RESILIENCY AND SELF HEALING 09 RESILIENCY AND SELF HEALING 10:15 Module 8 DEPLOYMENTS AND POD REPLICAS 10 DEPLOYMENTS AND POD REPLICAS 13:13 11 AUTOMATED DEPLOYMENT 02:15 Module 9 ROLLING UPDATES AND ROLLBACKS 12 ROLLING UPDATES AND ROLLBACKS 09:13 Module 10 LIVENESS AND READINESS PROBES 13 LIVENESS AND READINESS PROBES 16:03 Module 11 STATEFULSET AND PERSISTENT VOLUMES 14 STATEFULSET AND PERSISTENT VOLUMES 29:18 15 DATABASE AUTHENTICATION 11:14 Module 12 CONFIGMAP AND SECRET 16 CONFIGMAP AND SECRET 20:50 Module 13 HORIZONTAL POD AUTOSCALER (HPA) 17 HORIZONTAL POD AUTOSCALER (HPA) 16:11 18 FOLLOW-UP 00:41 Module 14 INGRESS CONTROLLER 19 INGRESS CONTROLLER 13:31 Module 15 HELM CHARTS 20 HELM CHARTS 34:42 21 UPGRADING OUR HELM CHARTS 16:12 Module 16 HELM PACKAGE MANAGER 22 HELM PACKAGE MANAGER 35:24 Module 17 KUBERNETES OPERATORS 23 KUBERNETES OPERATORS 39:25 24 CLEANING UP 02:24 Module 18 PREPARING FOR DEPLOYMENT 25 PREPARING FOR DEPLOYMENT 01:39 Module 19 DEPLOYING TO AWS 26 DEPLOYING TO AWS 15:55 27 FINAL CLEAN UP 03:43 FAQ Your questions about our Kubernetes course, answered! WHAT'S THE DIFFERENCE BETWEEN DOCKER AND KUBERNETES? Docker is a platform for containerizing applications, while Kubernetes is a container orchestration system. Docker creates and runs containers, while Kubernetes manages groups of containers, handling tasks like scaling, load balancing, and automated deployments across clusters of hosts. DO I NEED TO KNOW DOCKER BEFORE LEARNING KUBERNETES? While having Docker knowledge is beneficial, it's not a strict prerequisite. Our course covers the essential container concepts you'll need to get started with Kubernetes. Plus, we offer a Docker crash course as part of this program, which will give you a solid foundation if you're new to containers. If you're already comfortable with Docker, you'll likely pick up Kubernetes concepts even more quickly. IS THERE AN EXPIRATION DATE ON THE COURSE CONTENT? DO I NEED TO PAY MONTHLY? Not at all! Our pricing model is simple: you pay once and get lifetime access to the course content. This includes all future updates and improvements we make to the material. No monthly fees, no expiration dates – just continuous learning at your own pace. WHAT KIND OF TOOLS DO I NEED? IS THE SETUP PROCESS COMPLICATED? You'll be glad to know that Kubernetes itself handles most of the complexity. In our course, we guide you through setting up a local Kubernetes environment using Docker Desktop, which is straightforward and beginner-friendly. As you progress, we'll also show you how to deploy your applications to AWS, giving you real-world experience with cloud-based Kubernetes environments. This AWS Kubernetes training component is a valuable addition to your skillset. CAN I USE THE CODE FROM THIS COURSE IN MY GITHUB OR PORTFOLIO? Absolutely! We encourage you to apply what you learn and showcase your skills. Feel free to use the code in your GitHub repositories or as part of your portfolio. We only ask that you don't create and sell a course based on our material. If you decide to share your work publicly, a mention of our course is appreciated but not required – we understand you might be using this to land your dream job! IS IT FEASIBLE TO CREATE A HIGHLY AVAILABLE DATABASE USING KUBERNETES? Definitely! Kubernetes provides powerful tools for creating highly available database deployments. In our course, we cover advanced concepts like Kubernetes Operators, which are perfect for managing complex, stateful applications like databases. For example, you'll learn how to use Operators to automate the deployment of multiple instances of databases like MongoDB. We also dive into Helm, the Kubernetes package manager, which simplifies the process of deploying and managing complex database setups. By the end of the course, you'll have the knowledge to set up resilient, scalable database solutions in your Kubernetes clusters. I HAVE ANOTHER QUESTION! Great! We love curious learners. Feel free to join our vibrant community on Discord at https://discord.gg/cPwYEWdE2Q. It's a fantastic place to connect with fellow students, discuss Kubernetes challenges, help each other out, and even make new friends. Whether you're stuck on a problem, want to share your latest Kubernetes project, or just want to chat about container orchestration, our community is there for you. LET’S KEEP IN TOUCH Subscribe to the mailing list and receive the latest updates Email Submit Built by Rayan Slim Quick Links Home Terms of Use Privacy Policy Blog © 2022 Kubernetes Training. All Rights Reserved.