Setting up Kubectl and other Kubernetes Management Tools
6
Setting up Helm charts
7
Working with Kubectl commands
8
Setting up Kubernetes Dashboard and Managing the cluster
9
Generating and managing Kubernetes dashboard Token and secrets
10
Kubernetes Service Accounts
11
Kubernetes Role Based Access Control RBAC
12
Kubernetes Secrets and Tokens
13
Kubernetes Dashboard
14
Setting up Apache Airflow on Kubernetes with Helm Charts
15
Accessing Apache Airflow on Kubernetes
16
Reconfiguring Apache Airflow on Kubernetes
17
Connecting Apache Airflow DAGs to Kubernetes
18
Working with Multiple DAGs on Kubernetes
19
Optimising Airflow DAGs on Kubernetes
20
Outro
Description:
Dive deep into the world of Kubernetes for modern data engineering in this comprehensive tutorial video. Learn to set up Kubernetes on Docker, master kubectl for cluster management, deploy the Kubernetes Dashboard, and run Apache Airflow using Helm charts. Explore essential topics including resource management, service accounts, Role-Based Access Control (RBAC), secrets, and tokens. Gain hands-on experience in configuring Apache Airflow on Kubernetes, connecting DAGs, working with multiple DAGs, and optimizing workflows. Perfect for data engineers, DevOps professionals, and anyone looking to leverage Kubernetes for scalable and efficient data processing in cloud environments.
Kubernetes for Modern Data Engineering: An End-to-End Data Engineering Project