Complete Guide to Azure Kubernetes Service - Elastic & K8S
What you'll learn
- Azure Kubernetes Service, Elastic Search Stack on a high level
- Learn to Automate Azure AKS Production grade clusters using Terraform
- Learn to write Kubernetes Manifest file and master Kubectl command
- Learn Kubernetes Fundamentals in both imperative and declarative approaches
- Monitor, configure and Watch Kubernetes dashboard for deployments
- Understand core fundamentals of Kubernetes like when to use services, deployment, replica... and how to join them together in production environment
- Don;'t just deploy an nginx or hello world program, learn by deploying real world workloads like data base, front end.
- Learn to attach a static IP on AKS service
- Tips and tricks of Azure Kubernetes Service like testing before deployment, tools to manage your config
Requirements
- Laptop with an Internet Connection
- Azure Free Trial
- No or little knowledge of Terraform
- No or little knowledge of YAML based configuration
Description
Kubernetes is a buzz word, whosoever deals managing multiple containers and think of better orchestrating the containers. Kubernetes is the platform, however Kubernetes is not an easy to learn, this course has been tailor made to keep the course really simple and easy.
This course helps you learn Kubernetes fundamentals right from scratch, Azure Kubernetes Service (AKS) makes deploying and managing containerised applications easy. It offers serverless Kubernetes, backed by power of Azure leveraging features like Active Directory to control fine grained access on who has access to what.
How the course is shaped?
We start off writing terraform script to spin up Azure kubernetes Service along with Azure Container Registry.
Generate secrets for AKS to get deployed.
Deploy Kubernetes Cluster on Azure
Introduction to Kubernetes Dashboard
Deploy dashboard on Azure Kubernetes Service
We push docker images to Azure Container Registry
We start with the fundamentals of kubernetes like namespaces, deployment, services, statefulsets, pods, configmaps
and then the fun part where we start off with deploying workloads on AKS just like you would do it on a production system.
we join the services and get the Kibana UI up and running.
We use rolling update and replica sets to keep the service highly available.
Use a static public IP address and DNS label with the Azure Kubernetes Service (AKS) load balancer
This course is one of the few in the marketplace, where it is being regularly updated almost realtime basis as soon as the publisher launch any new set of feature, we make sure learner enrolling into the course get the best out of the content.
We also as a team strive be customer focused by making sure whatever queries are being put on direct messages or in community, we try to get back to the learner within 24 hours if not early, there have been scenarios where in our instructors have been on screen sharing session with the users and helped them solving the problems.
Who this course is for:
- Product Developer
- Software Developer
- Devops Engineer
- Technical Architects
- SRE
- Infrastructure Engineers
Instructor
![Shantanu Das](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.4 Instructor Rating
- 864 Reviews
- 5,140 Students
- 9 Courses
Site Reliability Engineer with solid hands-on experience in Google Cloud and Microsoft Azure technologies
Helped fortune 500 companies with the devops practices around setting up CI CD of applications, infrastructure automation using Terraform, pulumi.
Actively create content on different social media platform, and author of many courses published on udemy and other publisher channel.