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dgt_k8s07 – Tuning

Course Title: dgt_k8s07 – Tuning

Description:

Welcome to “dgt_k8s07 – Kubernetes Tuning,” a comprehensive course designed for developers and system administrators seeking to optimize their Kubernetes deployments. This hands-on course delves into the essential aspects of Kubernetes tuning, focusing on enhancing application performance, reliability, and scalability.

Course Objectives:
– Understand how to effectively use Readiness Probes and Liveness Probes to ensure applications are running smoothly.
– Learn to set appropriate resource Limits and Requests to manage container resources efficiently.
– Master the Horizontal Pod Autoscaler HPA for dynamic scaling of your applications based on real-time metrics.
– Explore Kubernetes Event-driven Autoscaling KEDA to implement event-based auto-scaling.

Modules:

  1. Introduction to Kubernetes Tuning
  2. Overview of Kubernetes tuning concepts and best practices.

  3. Importance of monitoring and performance optimization in a Kubernetes environment.

  4. Probes for Application Health

  5. Deep dive into Readiness Probes and Liveness Probes.
  6. Practical examples on configuring probes for various application scenarios.

  7. Best practices to avoid common pitfalls with probe configurations.

  8. Resource Management: Limits and Requests

  9. Understanding resource limits vs. requests in Kubernetes.
  10. Techniques to set optimal resource constraints.

  11. Analyzing the impact of resource settings on cluster performance.

  12. Scaling Applications with HPA

  13. Introduction to Horizontal Pod Autoscaler HPA functionality.
  14. Configuring HPA based on CPU, memory usage, and custom metrics.

  15. Real-world scenarios for effective scaling strategies.

  16. Event-driven Scaling with KEDA

  17. Overview of Kubernetes Event-driven Autoscaling KEDA.
  18. Setting up event sources and triggers for autoscaling.

  19. Case studies demonstrating KEDA in action for various workloads.

  20. Hands-on Labs and Projects

  21. Interactive labs to apply learned concepts.

  22. Project-based assignments to simulate real-world tuning scenarios.

  23. Advanced Topics and Best Practices

  24. Exploring additional scaling options like Vertical Pod Autoscaler VPA.
  25. Strategies for maintaining optimal cluster performance.
  26. Discussion on future trends in Kubernetes tuning.

Target Audience:
This course is ideal for DevOps engineers, cloud architects, system administrators, and developers who are looking to deepen their understanding of Kubernetes tuning. Prior experience with Kubernetes is recommended to get the most out of this advanced training.

Certification:
Upon completion, participants will receive a certificate verifying their expertise in Kubernetes tuning, enhancing their professional profile in cloud-native technologies.

Join us for “dgt_k8s07 – Tuning” and elevate your Kubernetes skills to ensure robust, efficient, and scalable applications. Register now to secure your spot!
The students can push their exercises to the Academy DevOps & SRE GIT project. For this module, create a folder with your username as its name in the following subfolder: https://github.com/Garanti-Del-Talento/gdt_academy/tree/main/dgt_k8s07__tuning