Kubernetes for App Developers (LFD459)
Kubernetes for App Developers (LFD459)
The Kubernetes for Application Developers (LFD459) is an intensive, hands-on programme designed for software developers, DevOps engineers, and cloud-native practitioners who want to master application development, deployment, and management using Kubernetes, the leading container orchestration platform.
This course equips participants with the skills to design, deploy, and manage containerized applications in enterprise-grade Kubernetes environments. Learners gain deep knowledge of Kubernetes architecture, objects, services, and configurations, enabling them to build scalable, resilient, and highly available applications.
Through practical labs and real-world scenarios, participants will learn how to package applications in containers, automate deployments, manage configurations, implement security, and troubleshoot production-level Kubernetes workloads. The training emphasizes best practices, cloud-native principles, and continuous integration/continuous deployment (CI/CD) workflows, preparing developers to thrive in modern application delivery environments.
By the end of this course, participants will have the expertise to develop and deploy applications efficiently in Kubernetes clusters, leverage containerization effectively, and enhance application reliability, scalability, and observability.
Course Objectives & Learning Outcomes:
- Understand Kubernetes architecture, components, and cluster design
- Deploy, manage, and scale containerized applications using Kubernetes
- Work with Pods, ReplicaSets, Deployments, Services, ConfigMaps, and Secrets
- Implement networking, service discovery, and load balancing in Kubernetes
- Automate application deployments with Helm charts and CI/CD pipelines
- Monitor, troubleshoot, and log Kubernetes applications effectively
- Apply security best practices for applications and clusters
- Design applications for high availability, scalability, and resilience
- Integrate Kubernetes workloads with cloud platforms and microservices architectures
Target Audience
- Participants should have basic experience with Linux, containerization (Docker), and application development. Familiarity with cloud platforms, networking, and CI/CD concepts will enhance understanding, but the course is structured to guide participants through Kubernetes concepts with practical exercises.
Course Content
8 modules · 108 topics01Introduction8 topics
- Objectives
- Who You Are
- The Linux Foundation
- Linux Foundation Training
- Certification Programs and Digital Badging
- Preparing Your System
- Course Registration
- Labs
02Kubernetes Architecture18 topics
- What Is Kubernetes?
- Components of Kubernetes
- Challenges
- The Borg Heritage
- Kubernetes Architecture
- Terminology
- Master Node
- Minion (Worker) Nodes
- Pods
- Services
- Controllers / Operators
- Single IP per Pod
- Networking Setup
- CNI Network Configuration File
- Pod-to-Pod Communication
- Cloud Native Computing Foundation R
- Resource Recommendations
- Labs
03Build11 topics
- Container Options
- Containerizing an Application
- Creating the Dockerfile
- Hosting a Local Repository
- Creating a Deployment
- Running Commands in a Container
- Multi-Container Pod
- readinessProbe
- livenessProbe
- Testing
- Labs
04Design13 topics
- Traditional Applications: Considerations
- Decoupled Resources
- Transience
- Flexible Framework
- Managing Resource Usage
- Using Label Selectors
- Multi-Container Pods
- Sidecar Container
- Adapter Container
- Ambassador
- Points to Ponder
- Jobs
- Labs
05Deployment Configuration18 topics
- Volumes Overview
- Introducing Volumes
- Volume Spec
- Volume Types
- Shared Volume Example
- Persistent Volumes and Claims
- Persistent Volume
- Persistent Volume Claim
- Dynamic Provisioning
- Secrets
- Using Secrets via Environment Variables
- Mounting Secrets as Volumes
- Portable Data with ConfigMaps
- Using ConfigMaps
- Deployment Configuration Status
- Scaling and Rolling Updates
- Deployment Rollbacks
- Labs
06Security14 topics
- Security Overview
- Accessing the API
- Authentication
- Authorization
- ABAC
- RBAC
- RBAC Process Overview
- Admission Controller
- Security Contexts
- Pod Security Policies
- Network Security Policies
- Network Security Policy Example
- Default Policy Example
- Labs
07Exposing Applications13 topics
- Service Types
- Services Diagram
- Service Update Pattern
- Accessing an Application with a Service
- Service without a Selector
- ClusterIP
- NodePort
- LoadBalancer
- ExternalName
- Ingress Resource
- Ingress Controller
- Service Mesh
- Labs
08Troubleshooting13 topics
- Troubleshooting Overview
- Basic Troubleshooting Steps
- Ongoing (Constant) Change
- Basic Troubleshooting Flow: Pods
- Basic Troubleshooting Flow: Node and Security
- Basic Troubleshooting Flow: Agents
- Monitoring
- Logging Tools
- Monitoring Applications
- System and Agent Logs
- Conformance Testing
- More Resource
- Labs
Schedule Dates
4 upcoming batches| Batch Dates | Duration | Batch Options | Language | Action |
|---|---|---|---|---|
| 14 December 2026 - 16 December 2026 | 3 Days | 4 hours & 8 hours | English / Arabic | |
| 15 March 2027 - 17 March 2027 | 3 Days | 4 hours & 8 hours | English / Arabic | |
| 21 June 2027 - 23 June 2027 | 3 Days | 4 hours & 8 hours | English / Arabic | |
| 27 September 2027 - 29 September 2027 | 3 Days | 4 hours & 8 hours | English / Arabic |
Can’t find a suitable date? Request a schedule that fits your team.
Request More InformationFAQs
Who should attend the Kubernetes for App Developers (LFD459) course?
This course is designed for application developers, DevOps engineers, cloud architects, and IT professionals who want to adopt Kubernetes for application deployment and management. It is ideal for developers working on microservices, cloud-native applications, and containerized workloads seeking hands-on experience with Kubernetes clusters.
How will this course help with application deployment and management?
Learners will gain the ability to deploy applications in Kubernetes clusters reliably, configure automated scaling, manage configuration changes, and troubleshoot runtime issues. This ensures applications run efficiently, securely, and resiliently in production environments.
Will I learn about CI/CD and automation in Kubernetes?
Yes. The course includes modules on integrating Kubernetes with CI/CD pipelines using tools like Jenkins, GitLab CI, or ArgoCD, allowing developers to automate application builds, deployments, and updates, which is critical for modern DevOps practices.
How does this course improve career prospects?
Completing this training equips professionals with in-demand skills in Kubernetes, container orchestration, and cloud-native application development. It is highly valuable for roles such as Kubernetes Developer, DevOps Engineer, Cloud Engineer, Application Architect, and Site Reliability Engineer (SRE).
Will I gain troubleshooting and monitoring expertise in Kubernetes
Yes. Participants will learn monitoring, logging, debugging, and troubleshooting techniques using Kubernetes tools and open-source solutions. This ensures that applications remain reliable, scalable, and performance-optimised in both development and production environments.
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