Turbonomic: Container Platform Optimization

Course overview

This advanced-level course teaches how IBM Turbonomic optimizes container platform environments by automating resource management to unlock elasticity as well as balance performance and cost.

This advanced-level course teaches how IBM Turbonomic's patented analysis engine delivers visibility, control, and optimization across the entire application stack to assure the performance of running micro-services in Kubernetes and Red Hat OpenShift, as well as the efficiency of the underlying infrastructure. This course explains how Turbonomic discovers container platform clusters and connects data from APM targets, such as, Instana, for full-stack visualization. The course teaches how Turbonomic assures performance and maximizes efficiency throughout the stack by intelligently scaling the container cluster to provision and suspend nodes based on application resource demand. Learners will understand how Turbonomic uniquely solves the problem of resource fragmentation and avoids performance bottlenecks by intelligently moving container pods to manage the fluctuating demand. Turbonomic provides dynamic cluster scaling as well as horizontal scaling to meet SLO demands. This course includes common troubleshooting techniques for KubeTurbo, container platform planning, dashboards, and SaaS reporting.

Who should attend

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

Delivery formats

• • Instructor-led online (virtual classroom)
• • Instructor-led on-site at your premises
• • Self-paced online training
• • Private/closed group delivery for corporate teams

Digital badge

Delegates completing this course are eligible for an IBM digital badge, issued via Credly. View the badge

Related and follow-on courses

• TN202G — Advanced Administering Environments with IBM Instana Observability (Advanced)
• TN205G — IBM Instana Foundations (Basic)
• TN405G — IBM Cloud Pak for AIOps v4.10: Installation (Basic)
• TN408G — IBM Cloud Pak for AIOPs Administration and Configuration v4.10 (Intermediate)