Datacenter Virtualization

Datacenter virtualization is one of the fastest-growing IT initiatives for medium and large-size businesses. Within two years, more than 90 percent of all enterprise Datacenter workloads will be virtualized, according to research. If your organization has moved slowly to a virtual Datacenter environ

Project Title

Datacenter Virtualization

Project Area of Specialization

Cloud Infrastructure

Project Summary

Datacenter virtualization is one of the fastest-growing IT initiatives for medium and large-size businesses. Within two years, more than 90 percent of all enterprise Datacenter workloads will be virtualized, according to research. If your organization has moved slowly to a virtual Datacenter environment, you may be missing significant opportunities to reduce costs, consolidate space, Scalability and improve your ability to manage and control critical IT resources. Even if your organization is deeply deep-rooted in its deployment of Datacenter virtualization, there is a strong probability that you will be expanding Datacenter virtualization initiatives to new applications and departments over the next few years. The question for most IT organizations is not whether to deploy or expand Datacenter virtualization, but how to sort out the differences among the leading virtualization software platforms like VMware, Microsoft, and Citrix. So that you can pick the solution that best associates with the specific requirements of your business.

Project Objectives

We aim to develop a highly scalable, secure, Available, and portable Datacenter with the minimum cost for the companies to decrease their capital and operational cost and manage everything centrally and how the solution can address the problem. Our main objectives are below.

• To simplify the management of every virtual machine with underlying virtualized hardware, peripheral devices, and software.
• Centralized data storage which available to all Virtual machines
• Deliver virtualized infrastructure services and highly available applications and services.
• Automated operations management responds to issues before service quality is impacted, increasing utilization and IT productivity.
• Capacity planning and optimization identify idle and over-provisioned VMs so you can optimize virtual machine density, balancing cost and risk through capacity modeling.
• Move and scale workloads as needed by using common management, orchestration, security, and compliance model across vSphere-based private and public clouds.
• To virtualize the hardware for a video adapter, a network adapter, and hard-disk adapters.
• To move more than one virtual machine at a time from one server host to another.
• Need new intentions in cloud technology as Linux-based vCenter server appliance has the database its own, and the host/guest count has been increased to 100 hosts and 3000 virtual machines.

Project Implementation Method

• VMware ESXi Server - Platform for virtualizing servers

• ISCSI Storage - High-performance cluster file system for storage virtualization.

• VMware Virtual SMP - Multi-processor support for virtual machines

• VMware Virtual Centre - Centralized management, automation, and optimization for IT infrastructure

• VMware HA – Cost-effective high availability for virtual machines

• VMware DRS - Dynamic balancing and allocation of resources for virtual machines

• VMware VMotion - Live migration of virtual machines.

vCenter Hybrid Linked Mode: Enables unified visibility and management across on-premises vCenter and vCenter on a vSphere enabled cloud such as VMware Cloud™ on AWS.

Storage vMotion: Avoids application downtime for planned storage maintenance by migrating live virtual machine disk files across storage arrays.

Fault Tolerance: Provides continuous availability of any application in the event of a hardware failure— with no data loss or downtime. For workloads up to 4-vCPU.

Resource management: Resource management Allocate processor and memory resources to virtual machines running on the same physical servers. Establish minimum, maximum, and proportional resource shares for CPU, memory, disk, and network bandwidth. Modify allocations while virtual machines are running. Enable applications to dynamically acquire more resources to accommodate peak performance.

DRS (Distributed Resources Scheduler): Energy-efficient resource optimization automatically monitors and responds to resource and power consumption demands across a DRS cluster using vSphere Distributed Power Management. When the cluster needs fewer resources, consolidate workloads and put hosts in standby mode to reduce power usage. When resource requirements increase, automatically bring powered-down hosts back online to meet necessary service levels.

Benefits of the Project

Tangible savings

Server purchases

Operational costs

Administration costs

Power, HVAC ? Deferred cost

Intangible savings ? Faster server provisioning

 Better utilization

Reduced floor space

Improved business continuity and disaster recovery

Technical Details of Final Deliverable

1. High Availability
2. Scalability
3. Portability
4. vMotion
5. vMotion Storage
6. Virtual machines
7. Cloning Virtual machine
8. Virtual Machine Snapshot, Templets
9. Storage Cluster
10. Storage High availability
11. iSCSI Storage LUN (Logical Unit Number)
12. DRS (Distributed resources scheduler)
13. DPM (Distributed power management)

Final Deliverable of the Project

HW/SW integrated system

Core Industry

IT

Other Industries

Core Technology

Cloud Infrastructure

Other Technologies

Sustainable Development Goals

Affordable and Clean Energy, Industry, Innovation and Infrastructure

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com