Welcome to our Advanced Kubernetes Training course, designed to take your Kubernetes expertise to the next level. This intensive program dives deep into the advanced aspects of Kubernetes, covering topics such as cluster architecture, advanced networking, security, and monitoring. You will gain hands-on experience with real-world scenarios, enabling you to deploy, manage, and scale complex applications with confidence. Our expert instructors will guide you through best practices and advanced techniques, ensuring you develop a comprehensive understanding of Kubernetes and its capabilities.

Target Audience

This course is tailored for experienced IT professionals, DevOps engineers, system administrators, and cloud architects who already have a foundational knowledge of Kubernetes and are looking to enhance their skills. If you have experience with containerization, basic Kubernetes concepts, and are familiar with cloud-native technologies, this course is perfect for you. It is also ideal for technical leads and developers who are responsible for managing large-scale, production-grade Kubernetes environments and want to optimize their deployments for performance, security, and reliability.

Job Opportunities

Completing our Advanced Kubernetes Training course opens up a wide array of career opportunities in the ever-evolving tech landscape. With advanced Kubernetes skills, you can pursue roles such as Senior Kubernetes Engineer, DevOps Specialist, Site Reliability Engineer (SRE), and Cloud Infrastructure Architect. Many organizations are increasingly adopting Kubernetes for their cloud-native strategies, making expertise in this area highly valuable. Additionally, your advanced knowledge of Kubernetes will enhance your credentials for leadership roles in IT operations and cloud-native application development, positioning you as a key player in driving technological innovation and efficiency within your organization.

Module 1: Advanced Kubernetes Architecture

1.1 Deep Dive into Kubernetes Architecture

• Detailed analysis of the control plane
• Kubernetes networking in-depth (CNI plugins, service mesh)
• Scheduler algorithms and custom schedulers

1.2 Kubernetes API and Extension Mechanisms

• Custom Resource Definitions (CRDs)
• Operators and controllers
• API aggregation and extending the Kubernetes API

Module 2: Advanced Networking in Kubernetes

2.1 Advanced Networking Concepts

• Network policies and security groups
• Service mesh (Istio, Linkerd)
• Multi-cluster networking

2.2 Ingress Controllers and Advanced Ingress Configurations

• Configuring and managing different ingress controllers
• TLS/SSL termination
• Path-based routing and virtual hosts

Module 3: Storage and Stateful Applications

3.1 Advanced Persistent Storage

• CSI (Container Storage Interface) drivers
• Dynamic provisioning with advanced storage classes
• Managing storage for stateful applications

3.2 Running Stateful Applications

• Best practices for stateful applications
• Managing databases on Kubernetes (MySQL, PostgreSQL, etc.)
• StatefulSets and persistent storage considerations

Module 4: Security in Kubernetes

4.1 Advanced Security Practices

• Pod security policies and security contexts
• Securing Kubernetes components (API server, etcd)
• Image security and scanning

4.2 Authentication, Authorization, and Admission Control

• Advanced RBAC configurations
• Webhook token authentication
• Admission controllers and custom admission plugins

Module 5: Monitoring, Logging, and Troubleshooting

5.1 Advanced Monitoring Techniques

• Prometheus deep dive
• Custom metrics and alerts
• Performance tuning and resource optimization

5.2 Centralized Logging and Tracing

• EFK/ELK stack (Elasticsearch, Fluentd, Kibana/Logstash)
• Distributed tracing with Jaeger

5.3 Troubleshooting Kubernetes

• Diagnosing common issues
• Using kubectl and other tools for debugging
• Performance troubleshooting and optimization

Module 6: Scaling and High Availability

6.1 Horizontal and Vertical Scaling

• Horizontal Pod Autoscaler (HPA) and Cluster Autoscaler
• Vertical Pod Autoscaler (VPA)
• Scaling applications and clusters

6.2 High Availability and Disaster Recovery

• Designing highly available Kubernetes clusters
• Backup and restore strategies
• Disaster recovery planning

Module 7: CI/CD and GitOps

7.1 Implementing CI/CD Pipelines

• Integrating Kubernetes with CI/CD tools (Jenkins, GitLab CI, etc.)
• Continuous deployment strategies
• Blue-green deployments and canary releases

7.2 GitOps Principles and Practices

• Introduction to GitOps
• Tools for GitOps (ArgoCD, Flux)
• Implementing GitOps workflows

Module 8: Advanced Kubernetes Operations

8.1 Kubernetes Cluster Federation

• Concepts of multi-cluster management
• Setting up and managing cluster federation

8.2 Kubernetes Upgrades and Maintenance

• Best practices for upgrading Kubernetes clusters
• Zero-downtime upgrades
• Managing cluster lifecycle

Module 9: Case Studies and Real-world Applications

9.1 Case Studies

• Real-world examples of Kubernetes usage
• Lessons learned and best practices

9.2 Advanced Use Cases

• AI/ML workloads on Kubernetes
• IoT and edge computing with Kubernetes
• Hybrid and multi-cloud deployments

Module 10: Capstone Project and Certification Preparation

10.1 Capstone Project

• Designing and deploying a complex Kubernetes application
• Implementing advanced features and best practices