Turbonomic: Container Platform Optimization

Units: 

• Unit 1: An overview of container platform optimization
• Unit 2: Discovering container platform environments using Turbonomic
• Unit 3: Full stack visualization
• Unit 4: Optimized vertical resizing
• Unit 5: Continuous pod placement
• Unit 6: Service Level Objective based horizontal scaling
• Unit 7: Dynamic cluster scaling
• Unit 8: Container platform planning
• Unit 9: Container dashboards and SaaS Reporting
• Unit 10: Common troubleshooting techniques

Consultants, System Administrators, DevOps Engineers, Operators, Site Reliability Engineers

After completing this course, you should be able to:

• Explain how Turbonomic helps in optimizing container environments for performance and cost efficiency
• Gain full stack visualization of the container platforms using Turbonomic
• Understand how Turbonomic discovers container platform environments through Kubeturbo
• Describe the types of actions Turbonomic generates for optimized vertical resizing, continuous proactive pod placement, SLO-based horizontal scaling, and dynamic cluster scaling
• Create policies to automate Turbonomic actions in container environments
• Run planning scenarios to optimize container clusters and migrate containerized workloads from one container platform cluster to another
• Explore the container dashboards in Turbonomic and SaaS reporting
• Evaluate horizontal scaling of pods to meet Service Level Objectives (SLO) for container clusters including support for Large Language Model (LLM) generative AI (gen AI)
• Set up advanced integrations with Prometurbo as well as Operator Resource Mapping (ORM)
• Learn common troubleshooting techniques for Kubeturbo deployments