Kubernetes Comprehensive

• Basic understanding of Linux commands
• Familiarity with containerization concepts (e.g., Docker)
• Experience with networking fundamentals is recommended but not required

Audience

• System administrators
• DevOps engineers
• Developers aiming to deploy and manage containerized applications

Kubernetes is an open-source platform designed to automate the deployment, scaling, and operation of application containers across clusters of hosts.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to effectively deploy, manage, and scale containerized applications using Kubernetes.

By the end of this training, participants will be able to:

• Understand the Kubernetes architecture and its components.
• Isolate resources effectively using Namespaces.
• Manage and customize workloads with Deployments, StatefulSets, and DaemonSets.
• Define computational resources using Requests and Limits.
• Work with Jobs and CronJobs for scheduled tasks.
• Understand Services and DNS within Kubernetes.
• Expose applications using Ingress.
• Manage ConfigMaps, Secrets, and Persistent Volumes.
• Scale and upgrade Kubernetes clusters using advanced strategies.
• Analyze and troubleshoot Kubernetes issues.
• Deploy resources efficiently using Helm Charts.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to Kubernetes

• Overview of Kubernetes and its architecture
• Core components: API server, Controller Manager, Scheduler, etcd, and Kubelet
• Understanding Pods, Nodes, and Clusters

Resource Management

• Isolating resources using Namespaces
• Defining Requests and Limits for computational resources
• Scaling applications with Kubernetes

Managing Workloads

• Deploying applications using Deployments, StatefulSets, and DaemonSets
• Using Jobs and CronJobs for task scheduling
• Handling updates and rollbacks

Networking and Service Discovery

• Understanding Kubernetes Services: ClusterIP, NodePort, LoadBalancer, ExternalName
• Configuring DNS and Service Discovery
• Exposing applications via Ingress

Data Persistence

• Persisting data with Persistent Volumes and Persistent Volume Claims
• Using Static and Dynamic Volumes
• Understanding Access Modes, Reclaim Policies, and Projected Volumes

Configuration Management

• Deploying ConfigMaps and Secrets
• Using environment variables and volumes for configuration

Cluster Management

• Kubernetes cluster upgrades using kubeadm
• Configuring authentication with TLS certificates
• Managing permissions with Role-Based Access Control (RBAC)

Advanced Scaling Strategies

• NodeSelector, NodeAffinity, and PodAffinity
• Understanding and applying Taints and Tolerations

Provisioning with Helm

• Introduction to Helm and Helm Charts
• Creating and deploying Helm Charts
• Managing dependencies with Helm

Troubleshooting Kubernetes

• Analyzing BackOff and CrashLoopBackOff issues
• Troubleshooting Nodes in NotReady status
• Using kubectl and logs for debugging

Summary and Next Steps