Helm Kubernetes Packaging Manager for Developers and DevOps
What you'll learn
- What and Why to use Helm as your Kubernetes packaging manager
- Use Helm commands to add repositories and use charts
- Do releases to Kube cluster using helm install
- Upgrade releases using helm upgrade
- Learn about release records
- Understand the helm release workflow
- Use advanced helm commands
- Learn how to check release history and do rollbacks
- Do atomic installations and forceful upgrades
- Create your own charts
- Master the folder structure and files that make a chart
- Package charts
- Dive deep in to the helm templating syntax
- Use functions, conditional statements, loops and more
- Add chart dependencies
- Run chart tests
- Host and use chart repositories
- Secure you charts using signatures and hashes
- Work on a Usecase and deploy a Micro Service to Kubernetes using helm with in minutes
- All in easy steps
Requirements
- Knowledge and experience using Kubernetes
- Setup Minikube or access to a Kubernetes Cluster using Kubectl
Description
Are you a developer using Kubernetes to deploy your applications use helm then this course is for you.Are you a Devops engineer who want to understand the fundamentals of Helm and use it to manage your Kubernetes installations and upgrades then this course is for you as well.
This course is for beginners who wants to master Helm and use it one their projects and also for the experienced who want to get the fundamentals of Helm right. Adding Helm to your resume will not only increase the number of opportunities you will get but also the salary. Thousands of companies including Oracle, SalesForce, LinkedIn, Dell use Helm to do releases and upgrades to Kubernetes . From this course you will
Learn What and Why to use Helm as your Kubernetes packaging manager
Use Helm commands to add repositories and use charts
Do releases to Kuberenetes cluster using helm install
Upgrade releases using helm upgrade
Learn about release records
Understand the helm release workflow
Use advanced helm commands
Learn how to check release history and do rollbacks
Do atomic installations and forceful upgrades
Create your own charts
Master the folder structure and files that make a chart
Package charts
Dive deep in to the helm templating syntax
Use functions, conditional statements, loops and more
Add chart dependencies
Run chart tests
Host and use chart repositories
Secure you charts using signatures and hashes
Work on a Usecase and deploy a Micro Service to Kubernetes using helm with in minutes
All in easy steps
What are the requirements?
Good Knowledge and Experience working with Kubernetes
Setup Minikube or access to a Kubernetes Cluster using Kubectl
Who this course is for:
- Students who have completed my Devops and AWS for java micro-service developers course
- Experienced Kubernetes Users who want to master Helm
- Developers and Devops Engineers with Kubernetes experience
Instructor
- 4.5 Instructor Rating
- 147,676 Reviews
- 793,988 Students
- 45 Courses
Bharath Thippireddy is an Entrepreneur, Software Architect,Actor and Public Speaker who has trained 750,000+ students across the planet. He is an Oracle Certified Developer, Web Component Developer, Business Component Developer, and Web Services Developer.
He loves learning new things both in technology and personal development and shares them on YouTube and his website. He has mentored students in classroom trainings as well as in the corporate world in both India and the USA. He has spoken on technical topics at several agile conferences. While in India, he also voluntarily teaches interview and soft skills at Vivekananda Kendra.
His trainings will help you master Full Stack Development using Java, Python, JavaScript, DevOps, AWS, Docker, Kubernetes, as well as Generative AI tools like OpenAI, LangChain, Azure OpenAI, and Copilot for developers.
From 30+ courses, which currently have 750K+ learners, you can pick a track and master:
• Generative AI tools such as OpenAI, LangChain, Azure OpenAI, and GitHub Copilot
• Spring Boot Project Development using Angular and React
• Angular and React project creation with Java or Node backend
• Complete Python Stack from core Python to Django REST Framework
• Docker, Kubernetes, Maven, Jenkins, GIT, AWS EC2, Elastic Beanstalk, ELB, Auto Scaling, and more in easy steps
• Java (Java Design Patterns, Java Web Services, Java Messaging Service)
• Spring modules (Spring Security, Spring Boot, Spring Data using Hibernate, Spring Data REST)
• Serverless programming using AWS Lambda