Data Center Virtualization
This course focuses on the challenges in setting up a data center. Resource monitoring using hypervisors and access control to virtual machines will be covered in depth in this course. Setting up of a virtual data center and how to manage them with software interfaces will be discussed in detail.
Learning Outcomes:
On successful completion of this course, the learner will be able to
- Identify various constraints and challenges in setting up a data center
- Demonstrate Enterprise level virtualization and access control in virtual machines
- Perform Resource monitoring and execute backup and recovery of virtual machines.
Course Contents:
- Data Center Challenges: How server, desktop, network Virtualization and cloud computing reduce data centre footprint, environmental impact and power requirements by driving server consolidation; Evolution of Data Centres: The evolution of computing infrastructures and architectures from stand alone servers to rack optimized blade servers and unified computing systems (UCS).
- Enterprise-level Virtualization: Provision, monitoring and management of a virtual datacenter and multiple enterprise-level virtual servers and virtual machines through software management interfaces; Networking and Storage in Enterprise Virtualized Environments: Connectivity to storage area and IP networks from within virtualized environments using industry standard protocols.
- Virtual Machines & Access Control: Virtual machine deployment, modification, management. monitoring and migration methodologies.
- Resource Monitoring: Physical and virtual machine memory, CPU management and abstraction techniques using a hypervisor.
- Virtual Machine Data Protection: Backup and recovery of virtual machines using data recovery techniques; Scalability: Scalability features within Enterprise virtualized environments using advanced management applications that enable clustering, distributed network switches for clustering, network and storage expansion; High Availability : Virtualization high availability and redundancy techniques.