Kubernetes Certification Training

Learning Objective: Learn to expose your application using different kinds of Services and understand the ins and outs of Pod Scheduling in your cluster.

Topics:

• Services and Controllers
• Service Networking
• Deploy and configure network Load Balancer
• Primitives necessary for self-healing apps
• Effects of resource limiting on pod scheduling
• Configure Kubernetes Scheduler
• Running multiple Schedulers

Hands-On:

• Deploy different kinds of services
• Deploy and configure a network load balancer
• Configure the Kubernetes scheduler
• Run multiple schedulers

Learning Objective: Learn the use of different Kubernetes controllers and set up traffic routing rules using Ingress.

Topics:

• ReplicaSet and ReplicationController
• DaemonSets
• Deployments
• Rolling updates and Rollbacks
• Scaling applications
• Ingress

Hands-On:

• Deploy different ReplicationControllers
• Use DaemonSets on nodes
• Manage pod updates using Deployments
• Use HPA for dynamic work-load management
• Use Ingress controller and rules to manage network traffic

Learning Objective: Learn to use persistent storage methods for stateful applications and hide sensitive information using ConfigMaps and Secrets.

Topics:

• PersistentVolume and PersistentVolumeClaim
• Access modes for volumes
• Primitives for PersistentVolumeClaim
• Secrets and ConfigMaps in your pods
• Storage classes
• Headless services
• StatefulSets

Learning Objective: Learn how to secure the cluster using role-based access control (RBAC) and configure custom network policies for your pods.

Topics:

• Authentication
• Authorization
• Kubernetes security primitives
• Configure Network Policies
• Security Contexts

Hands-On:

• Create and use Roles and RoleBindings
• Define custom Egress and Ingress policies
• Use probes and configure a restart policy for pods
• Define privilege and access control using security contexts

Learning Objective: Monitor cluster and visualize cluster logs using Prometheus and EFK stack. Deploy jobs, manage the etcd cluster, and use Helm Charts to deploy applications.

Topics:

• Monitoring the cluster using Prometheus
• Visualizing cluster logs using EFK stack
• Jobs
• ETCD operations
• Helm Charts

Hands-On:

• Monitor cluster using Prometheus
• Visualize logs using EFK stack
• Deploy jobs to run tasks to completion
• Manage etcd cluster
• Use Helm Charts

Learning Objective: Learn how to handle and troubleshoot common cluster failures.

Topics:

• Troubleshooting application failures
• Troubleshooting cluster failures

This course is specifically designed for:

• Professionals aspiring to clear the Certified Kubernetes Administrator (CKA) program by CNCF
• Professionals keen on advancing their career as DevOps Engineers
• Individuals looking to establish their credibility and value in the market as Kubernetes Administrators
• Principal Software Engineers
• Cloud Professionals
• Technical Leads

Docker revolutionized the IT industry with the introduction of their Portable Lightweight Container Engine. More than 30% of the organizations in the IT industry have already adopted Docker, and the adoption rate is increasing by 40% every year. Over 50% of these environments are orchestrated.
Kubernetes is the biggest player in the Container Orchestration world. Tools such as Docker Swarm and Mesos, which have been competitors of Kubernetes in the Container Orchestration market, have added support for Kubernetes within their ecosystems.

After the completion of the Certified Kubernetes Administrator Training at Brighter Connect, you will be able to:

• Understand Kubernetes Core Concepts
• Deploy a Kubernetes cluster
• Secure cluster objects using TLS Certificates
• Leverage Kubernetes Networking Concepts
• Deploy Services and Load Balancers to route traffic
• Implement different Pod Scheduling techniques
• Use various Controllers to manage your applications
• Create and use Persistent Storage for your applications
• Secure your cluster against unauthorized access
• Monitor and log your cluster events
• Troubleshoot application and cluster failures

Required Pre-requisites:

• Knowledge on Docker
• Basic Kubernetes concepts and commands

To help you brush up these skills, you will get self-paced module on these concepts as pre-requisites in your LMS.

All the practicals will run on Google Compute Engine (GCE) virtual machines. In case of any doubts, you can reach out to our 24x7 support team.

Brighter Connect’s Certification Project for CKA Training course, has been designed to help you with the CKA Examination. The project is divided into eight units, each representing a domain in the CKA Exam. The weightage of units is aligned to the official CKA Exam pattern. The following units are included in the project:

• Installation, Configuration, and Validation: Deploy a new cluster with a master node on a bare-metal machine leveraging the provided Container Network Interface (CNI) option and then add use kubeadm to attach new worker nodes to it.
• Application Lifecycle Management: Manage applications deployed on the cluster using different controllers and operations such as rolling updates, rollbacks, and scaling.
• Networking: Demonstrate different application/service discovery mechanisms in your cluster and deploy an ingress controller and ingress resource using specified rules for traffic routing.
• Scheduling: Configure and manage pod scheduling on your cluster by using multiple schedulers, applying resource limiting filters, and deploying pods without using a scheduler.
• Security: Secure the cluster in different ways using Role-Based Access Control (RBAC), network policies, and security contexts.
• Cluster Maintenance: Perform cluster-level maintenance tasks such as upgrading the kubeadm library, backing up etcd, and adding and removing nodes.
• Logging and Monitoring: Log and monitor various cluster events and resources using the various commands at your disposal.
• Storage: Create and use persistent storage mounts for your stateful application.