Cursos de Tivoli y Gestión de Sistemas

This course is segmented into multiple learning modules. After an introduction, each Data Insight core widget will be covered in its own module, and a few administrative tasks will round out the training.

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. 

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. 

This intermediate-level course explains the IBM Turbonomic approach and capabilities to assure application performance and manage the entire application stack. In this hands-on course, students learn how to configure IBM Turbonomic instance, add targets as well as create automation, placement, and parking policies to align with business goals. Learn how to run plans for capacity management as well as access reports to show the business value of Turbonomic actions.

With IBM Turbonomic, your cloud investments are smarter, automation is easier, and you can finally realize the promise of agility, elasticity and speed to market. It is an ideal solution for organizations adopting FinOps! This course takes you in-depth into how the IBM Turbonomic platform interacts with the world's most broadly accepted public cloud technologies, such as AWS, Azure, and GCP. You learn about the cost and feasibility of migrating core applications to the cloud for flexibility and scale. You gain understanding of IBM Turbonomic support for reserved instances, savings plans as well as committed use discounts. This course describes how IBM Turbonomic optimizes compute, storage, and PaaS services in cloud for performance and efficiency, increasing ROI and lowering your cloud bill by using only what you need.

This intermediate-level course explains the IBM Turbonomic approach and capabilities to assure application performance and manage the entire application stack. In this hands-on course, students learn how to configure IBM Turbonomic instance, add targets as well as create automation, placement, and parking policies to align with business goals. Learn how to run plans for capacity management as well as access reports to show the business value of Turbonomic actions.

This course teaches the foundational concepts of the IBM Turbonomic platform and the importance of having a common abstraction. Topics include, but are not limited to, navigating the user interface, taking actions and examining action details, running plan scenarios, and understanding various reporting options and generating reports. 

This course prepares you to implement and manage DFSMShsm (DFSMS hierarchical storage manager). You will learn how to automate the storage management tasks, which optimize DASD space utilization and provide data availability. You will be taught basic DFSMShsm terminology and concepts, and you will examine the functions and interfaces used to tailor DFSMShsm processing to meet your installation's storage management requirements.\n\nHands-on lab exercises enable you to perform a step-by-step implementation.

This course provides the skills required to plan and implement Data Facility Storage Management Subsystem (DFSMS). A step-by-step implementation strategy, emphasizing coexistence considerations, is reinforced by hands-on labs. In the hands-on labs, students will be creating constructs as well as coding ACS routines. This milestone approach includes managing temporary and permanent data sets. The course also discusses exploitation of functions provided by DFSMS as the installation evolves to the DFSMS environment.