Compute, Storage & Backup

Hyper Converged

HCI converges the entire datacenter stack, including compute, storage, storage networking, and virtualization. Complex and expensive legacy infrastructure is replaced by a platform running on turnkey, industry-standard servers that enable enterprises to start small and scale one node at a time. Software running on each server node distributes all operating functions across the cluster for superior performance and resilience.

Hyper Converged Services inlcude:
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    It is readily accessible to purchase.
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    The infrastructure deploys faster than traditional data centers, particularly for cloud environments.
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    It is easier to manage since it includes a software interface. IT admin can keep a pulse on monitoring and troubleshooting actions by using the HCI software.
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    It can operate as a virtual machine (VM) since it includes a hypervisor.
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    HCI is more flexible, scalable, and easy to maneuver.
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    Cisco points out that HCI enables companies to gain the benefits of on-demand infrastructure for data-centric workloads without placing resources in public clouds.
High Performance Computing

To operate at maximum performance, each component must keep pace with the others. For example, the storage component must be able to feed and ingest data to and from the compute servers as quickly as it is processed. Likewise, the networking components must be able to support the high-speed transportation of data between compute servers and the data storage. If one component cannot keep up with the rest, the performance of the entire HPC infrastructure suffers.

To build a high-performance computing architecture, compute servers are networked together into a cluster.

Our End User Computing solutions cater to the modern workforce, delivering high-performance end-user experiences through the provision of industry leading platform services and digital workplace solutions.

High Performance Services include:
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    Workstation and Device Provisioning and Support
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    Mobility and Mobile Device Management
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    Remote Access
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    Application Packaging and Deployment
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    Collaboration, Messaging and email
SAP HANA

SAP S/4HANA is a future-ready enterprise resource planning (ERP) system with built-in intelligent technologies, including AI, machine learning, and advanced analytics. It transforms business processes with intelligent automation and runs on SAP HANA – a market-leading in-memory database that offers real-time processing speeds and a dramatically simplified data model.

SAP HANA Services include:
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    On-premise, public/private cloud, or hybrid deployment
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    Embedded AI, analytics, and intelligent process automation
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    In-memory database and simplified data model
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    Capabilities and best practices for a wide range of industries
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    Consumer-grade UX
Server Consolidation & Virtualization

Server consolidation is the practice of reducing the number of servers or server locations in order to use compute resources more efficiently and reduce costs. This involves moving multiple, heterogeneous workloads to a single server or combining workloads under a single operating system.

Although there is overlap between server consolidation and virtualization, virtualization is seen as an enabler of server consolidation. Virtualization separates a workload and its data from the physical host platform, creating more flexibility in matching workloads with physical resources. At the same time, virtualization doesn’t require the separation of a workload from its operating system, which makes it possible to consolidate physical servers. In most cases, a combination of server consolidation and virtualization is ideal.

Although the cost savings and flexibility of server consolidation are appealing, it’s possible to over-consolidate. Even the most advanced, powerful server has its limits. Also, virtualization allows you to provision a new VM in minutes, making it easier to overburden a server, especially in today’s on-demand business IT climate. Over-consolidation hampers application performance and workload migration capabilities, and could even cause the entire server to crash. Some organizations push their servers to the limit to achieve an unrealistic goal of 100 percent resource utilization, while others do it accidentally because they lack effective policies related to VM provisioning.