Enabling Remote and Branch Office (ROBO) and Edge

June 13, 2024

Taras Shved

Director of Sales Engineering with more than 15 years of professional IT experience. Almost 2 years of Technical Support and Engineering at StarWind. Storage and virtualization expert. IT systems engineer. Web designer as a hobby.

Cost-effective, fault-tolerant, and easy-to-manage virtualization for branches.

Introduction

As businesses expand and data becomes decentralized, a standardized IT approach in remote offices and at the edge is crucial. The StarWind HCI Appliance (HCA) integrates servers, storage, networking, and hypervisors into an efficient, scalable platform. This ensures easy management, minimizes critical application downtime, and allows for unmanned operation, essential for ROBO and edge locations.

Problem

ROBO and edge locations need processing power close to the point of data collection. To address these demands and fulfill the distinctive operational, disaster recovery, and data protection needs of remote locations, businesses need a resilient infrastructure solution that can be easily managed remotely. Additionally, the latency and connectivity challenges associated with the public cloud often render it unsuitable for these locations, and conventional IT methods of the past fail to deliver the required levels of simplicity, manageability, and cost-effectiveness.

Solution

StarWind HCI Appliance (HCA) aggregates servers, storage, networking, hypervisor, and data mover in a minimalistic and highly efficient platform that delivers a complete, invisible, and easily scalable centrally managed infrastructure that can power diverse ROBO workloads. An integrated solution for critical applications that comes from a single vendor effectively decreases the variety of hardware and technologies to deal with, reduces the effort and time required for maintenance and management, and eliminates support fingerpointing.

Conclusion

Built with availability in mind, StarWind HCA offers true fault tolerance for hardware and software levels, while AI/ML-powered failure prediction technology makes sure any potential issues are mitigated proactively, reducing critical application downtimes and consequent business losses to zero and allowing unmanned operation, which is a fundamental requirement for ROBO and edge.