Overview What You Will Learn Curriculum Instructor

Course Overview

We start with the fundamentals of Kubernetes like namespaces, deployment, services, stateful sets, pods, config maps, 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 updates 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 balance

What You Will Learn

  • Learn about the fundamentals of Kubernetes
  • Learn how to deploy workloads on AKS
  • Learn how to deploy Kibana
  • Learn about the features of Azure Kubernetes

Program Curriculum

  • Introduction to the Course
  • Get Started with Azure Kubernetes Service
  • $7 Million Cybersecurity Scholarship by EC-Council
  • Chapter 1 Quiz

  • Write Terraform Code to Spin AKS
  • Azure Secrets to Deploy Kubernetes Cluster
  • Accessing Azure Kubernetes Cluster
  • Chapter 2 Quiz

  • Kubernetes Dashboard
  • Azure Container Registry
  • Chapter 3 Quiz

  • Kubernetes Namespaces
  • Namespace: Demo
  • Kubernetes Pods
  • Deployment
  • Services
  • Service: Demo
  • Chapter 4 Quiz

  • Azure Persistent Volume
  • ConfigMap: Demo
  • Writing StatefulSets Manifest
  • Deploy StatefulSets: Elasticsearch
  • Pod in Error State: Crashloopback
  • Expose an Internal App: Load Balancer Service
  • Chapter 5 Quiz

  • Kibana Manifest: Deployment & Load Balancer
  • RollingUpdate: Create Replicas
  • Chapter 6 Quiz

  • Azure StaticIP: Load Balancer Service
  • Logstash: Demo
  • AKS Container Monitoring
  • Chapter 7 Quiz
Load more modules

Instructor

Shantanu Das

Infrastructure Consultant

Shantanu Das is a seasoned author for many DevOps courses like Puppet, Microservices, Terraform & Azure DevOps. He has a worked as a Site Reliability Engineer with solid hands-on experience in Google Cloud and Microsoft Azure technologies in Cloud/DevOps practice, architecting solutions along with migrating, managing supporting enterprise suite of applications. He has helped fortune 500 companies in automating build and deployments of code which needs to be shipped to different environments. Also, he has experience in hosting and supporting dockerized applications via Kubernetes on GCP, support Google managed Hadoop/data proc clusters along with ETL solutions built on top of Airflow backed by Hive and MySQL DB.

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