Modern software-defined compute, also known as virtualization, is the first step
toward the Software-Defined Data Center. Introduced by VMware more than a
decade ago, x86 server virtualization has become a standard technology used by a
vast majority of data centers worldwide. The Cloudsyntrix engineering team has
been deploying Vmware’s virtualization stacked services since 2004.
As the foundation for VMware’s complete Software-Defined Data Center platform, vSphere with Operations Management is the starting point for building your Software-Defined Data Center. With vSphere in place, you can seamlessly extend virtualization to storage and network services and add automated, policy- based provisioning and management.
How Do Virtualized Networks Work?
In a close analogy to the virtual machine, a virtualized network is a software container that presents logical network components—logical switches, routers, firewalls, load balancers, VPNs and more—to connected workloads.
These virtualized networks are programmatically created, provisioned and managed, with the underlying physical network serving as a simple packet-forwarding backplane. Network and security services are allocated to each VM according to its needs, and stay attached to it as the VM moves among hosts in the dynamic virtualized environment.
VMware’s network virtualization platform, NSX, deploys on top of existing physical network hardware and supports the newest fabrics and geometries from all vendors. Existing applications and monitoring tools work smoothly with NSX without any modifications.
VMware’s Software-Defined Storage solutions enhance today’s data center by delivering:
Infrastructure and applications services are requested via a self-service portal where authorized administrators, developers or business users can select services that comply with pre-defined business policies. Service delivery is highly automated. Logical infrastructure and application blueprints model services that can be deployed in any approved cloud environment. The right levels of resources are automatically allocated based on business requirements and service-level requirements. Workloads are dynamically and continually orchestrated and balanced as dictated by changing patterns of demand.
With a scale-out and resilient operations platform, administrators get control over performance, capacity and configuration management. Predictive analytics and smart alerts help identify and rectify potential issues before they impact service quality. Intuitive performance dashboards provide app-to- storage visibility across physical, virtual and cloud environments. Log management capabilities extend analytics to unstructured data, for better visibility and faster problem resolution. Over- and under-provisioned VMs are right-sized to balance service level requirements with resource utilization. Powerful capacity modeling identifies “what if” scenarios to anticipate and optimize future infrastructure spend.
CIOs and IT executives can demonstrate and compare the costs of complex initiatives and investments, including private and public clouds. Users can see the cost of service in the service catalog. Visibility and transparency of the types, cost and quality of IT services consumed by a business unit, enable show and charge back the quantity and types of IT services consumed. Industry benchmark data and reporting help compare IT expenses to peer companies and cloud service providers, for informed sourcing decisions that drive down costs.