Basics of Convergence Architecture: Converged and Hyper-converged Infrastructures
Hello Folks, Welcome back to Learnizo Global. Today’s businesses are demanding strategies to reduce their business network infrastructure while still offering the same or expanded resources to users. This demand has resulted in centralizing storage and applying virtualization to the system components through a single-storage controller.
One major issue with virtualizing workloads is that it increases storage capacity requirements, often resulting in an enormous volume of redundant data. This results in wasted time wasted effort and wasted work hours. Fortunately, convergence architecture solves these problems. By combining workloads, you streamline processes and make your business perform better. This article will focus on understanding the basics of convergence architecture through converged and hyperconverged infrastructures.
Converged infrastructure (CI)
Converged Infrastructure (CI) is a hardware-based approach to converging storage and processes that reduce compatibility issues, complex deployments, and overall costs. It works by using building blocks.
CI architecture joins storage with the physical server for centralized management. It merges the storage, compute, networking components into one unified product to speed up deployment and simplify resource management. Note that it is not uncommon for an enterprise to employ a CI that only combines the storage and compute products. CI contains the traditional components of a data center; however, it’s pre-configured by the manufacturers and managed by software. Its convergence architecture often includes a hypervisor, which allows enterprises to “create a bridge into the cloud.”
Hyperconverged Infrastructure (HCI)
Hyperconverged Infrastructure (HCI) is a software-based approach to converging storage and processes. This usually means deployment on commodity components. Importantly, the term ‘hyperconverged’ here does not imply that this technology is superior to regular converged infrastructures.
HCI operates “a storage controller function that runs as a service on every node in the cluster, which is why this is classified as software-defined storage.” HCI relies on x86 commodity hardware. Use cases include dynamic computing—such as cloud computing– virtual desktop infrastructure (VDI) and remote office/branch office (ROBO). HCI contains two planes, a distributed data plane that manages node clusters for virtual machines (VMs) or containers; and a management plane, which is a centralized management for servers, storage, and virtualization. HCI’s distributed architecture groups “multiple systems within and between sites, forming a shared resource pool which enables high availability, workload mobility, and efficient scaling of performance and capacity.”

The HCI Use Cases
Enterprise Data Center Infrastructure: HCI works well with traditional data center applications that require centralized storage since it uses a rack system. Even if those applications don’t need virtualization, the HCI will still run and support those applications.
Enterprise (Virtual Desktop Infrastructure) VDI: This, according to Hewlett Packard Enterprise, is the original intent behind HCI. HCI brings forth deduplication and compression of storage, which both act as a “key technology that enables the use of persistent desktops in a VDI environment.”
Private Cloud: HCI delivers the onsite cloud with the benefits of the public cloud, including the flexibility and accessibility benefits. Since HCI deploys the private cloud onsite, network administrators have the ability to monitor and control their network while non-IT employees can easily access the private cloud.
Edge computing and the Internet of Things (IoT): VMware boldly states that “hyper-convergence at the edge is the new IoT model for success.” Deploying HCI at micro data centers enables advanced technology, such as IoT, to connect to the edge of a network as HCI increases the scalability and flexibility of the edge network. Remote and Branch Offices: HCI simplifies the IT management of an enterprise’s remote or branch office locations by using servers across office locations and instilling unified performance management for all sites as well. Plus, WEI states that “the modular style of Hyperconverged scalability lets the branch office operate with affordable appliances initially and scale up as needs change.”
