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Advanced Kubernetes Training

About the Training

Advanced Kubernetes Training offers comprehensive and detailed instruction on Kubernetes. This training covers advanced Kubernetes topics and the advanced skills required for designing and developing Kubernetes-based applications.

The training teaches advanced Kubernetes features, complex data management, high fault tolerance, scaling, and other key concepts. Participants enhance their knowledge of advanced Kubernetes topics through real-world examples and projects.

Additionally, the training covers which advanced tools and technologies can be used in the design and development process of Kubernetes-based applications. Participants learn how to manage complex features such as big data processing, real-time analysis, high fault tolerance, and more. They also gain an understanding of how to design and manage applications with advanced Kubernetes.

Advanced Kubernetes Training covers all the details and complexities of the Kubernetes-based application design and development process. Participants acquire the detailed skills they need before starting to design and develop advanced modern applications.

The training program begins with advanced Kubernetes topics. Participants learn advanced concepts such as complex data management, high scaling, and fault tolerance. They also gain knowledge about the role of advanced Kubernetes in designing and managing modern applications. This knowledge forms the advanced building blocks needed for application design and development.

The training emphasizes advanced Kubernetes and related complex features and components. This provides participants with advanced capabilities such as real-time data processing, big data streams, and high fault tolerance. The course flow covers advanced topics like complex data management and managing scalable systems.

Finally, we provide information on how to develop an application based on advanced Kubernetes. This process includes performing complex tests, managing data, and ultimately developing the application with advanced Kubernetes. This knowledge helps participants successfully design and develop their applications using advanced Kubernetes.

What Will You Learn?

During the Advanced Kubernetes Training, you will learn:
  • Advanced usage of Kubernetes configuration and deployment concepts
  • How to configure, deploy, and manage applications
  • Tools and techniques used to enhance the performance and security of applications
  • Configuration of layered applications
  • Runtime application monitoring and debugging
  • Updating applications and ensuring high availability
  • Tools and technologies related to Kubernetes integration and configuration
This training will help you effectively manage the advanced features and applications of Kubernetes.

Prerequisites

To participate in the Advanced Kubernetes Training, the following prerequisites must be met:
  • Understanding of basic Kubernetes concepts and working principles
  • Skills in Linux and/or Unix system administration
  • Basic knowledge of Docker and container technologies
  • Basic knowledge of programming languages (e.g., Python, Java, Go, etc.)
  • Knowledge of DevOps concepts and practices
Meeting these prerequisites will help you effectively participate in the Advanced Kubernetes Training and apply the topics you learn.

Who Should Attend?

The Advanced Kubernetes Training is suitable for the following individuals:
  • DevOps and system administrators
  • Developers who have used Kubernetes at a basic level and want to manage their applications at an advanced level
  • Professionals who want to specialize in cloud computing and distributed systems
  • Individuals who want to use Kubernetes in enterprise solutions and develop this technology
  • Those who want to gain advanced knowledge about application deployment and control, performance, and security
This training is designed for professionals aiming to effectively manage the advanced features and applications of Kubernetes.

Outline

Deploying Resilient Applications
  • ReplicaSets
  • StatefulSets
  • Resources
  • Probes
  • HorizontalPodAutoscaler
  • Cluster Autoscaler
Extending Kubernetes
  • Schedulers
  • Controllers
  • Operators
  • Init Containers
  • Custom Resource Definitions
Cluster Provisioning
  • Kubeadm
  • Cluster API
Observability
  • Prometheus
  • OpenTracing
ServiceMesh
  • Traffic shifting and network policies
Advanced K8S Administration I
  • DaemonSets
  • Jobs
  • CronJobs
  • Advanced Volume Usage
  • ConfigMaps
  • Secrets
Advanced K8S Administration II
  • Controlling K8S using declarative object configuration
  • Use cases, best practices and real-life examples
Advanced K8S Administration III
  • Patterns for deployment and updates
  • Best practices in rolling upgrades, canary deploys, blue-green
  • deploys etc
Roles and Access Control
  • Role-Based Authentication
Serverless
  • Knative
 

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