Although we have emphasized how virtualization and cloud services have influenced the development of converged systems, they are useful in a wide variety of enterprise scenarios. Indeed, scale up converged infrastructure bears a closer resemblance to traditional mainframes that it does to scale out cloud infrastructure. Thus, how and where to used converged infrastructure versus conventional discrete servers and storage arrays is a function of the type of system, scale up converged or scale out HCI.
Enterprise Data Center Infrastructure: Rack-scale converged infrastructure works well with traditional enterprise applications requiring centralized storage, including those not designed for or compatible with virtualization. These include various legacy database systems, e.g. ERP, HR and financial processing and data warehousing, along with other enterprise systems like email, collaboration or multi-tier applications using Java middleware.
Enterprise VDI Infrastructure: HCI is made for virtualized applications, particularly those that can comfortably run within a single compute node (up to 16020 vCPUs and 256 GB) or are loosely coupled and can be easily distributed across multiple nodes. The textbook example for an HCI deployment is VDI, however other opportune targets include multi-tier Web applications, NAS file shares, backup and archive systems and as a general backend for test and development, either using VDI or to host code repositories (Git) and CI/CD systems (Jenkins, CircleCI, GitLab).
Additional Converged (CI) and Hyperconverged (HCI) Use Cases Resources