Hyperconvergence and IoT: Unlocking Edge Computing Power (Part 1)

Bob Emmerson

Hyperconvergence is a modern term that describes the seamless integration of computing, storage, and networking resources—an evolution powered by software‑centric architecture and virtualization. While the phrase can feel like a buzzword, it represents a tangible shift that brings significant operational benefits to the Internet of Things (IoT).

Why does it matter for IoT? The most compelling advantage is the facilitation of edge computing. Hyperconverged systems enable local processing, giving IoT devices the ability to analyze data right where it’s generated. This, coupled with two‑way interoperability between edge nodes and private or public clouds, creates a truly flexible and resilient architecture.

Virtualization is at the core of this transformation. By emulating hardware resources in software, IoT devices can run as virtual machines on standard x86 servers. This consolidation reduces infrastructure footprint and boosts efficiency at the edge.

Processing data locally produces real‑time insights that can be acted on immediately. Intelligent gateways analyze information on the spot, delivering “in the moment” business intelligence and eliminating the need to offload everything to a distant cloud. For large‑scale IoT deployments, this capability is essential because of the enormous volume of data generated.

Eurotech has announced plans to offer edge servers and IoT gateways that come pre‑installed with VMware virtualization. This development will be explored in a future hyperconvergence post.

Hyperconverged Secondary Storage Solutions

Data growth is relentless, doubling every two years, and machine‑generated data is accelerating even faster. Cohesity, a Santa Clara‑based company, notes that legacy storage cannot keep up and has introduced hyperconverged secondary storage. Their web‑scale data platform consolidates all secondary storage and data services into a single, efficient system.

What distinguishes primary from secondary storage? Primary storage is engineered for production workloads, delivering high throughput and low latency for business‑critical applications. Secondary storage, by contrast, stores archives, backups, file shares, analytics datasets, and data in public services. An IDC survey found that 70% of a data center’s capacity is devoted to secondary storage.

In secondary storage facilities, the platform runs on clusters of hyperconverged x86 nodes. At the edge and remote sites, distributed platforms operate as VMs on shared servers. This dual deployment allows remote locations to replicate local data to a central data center, ensuring secure backup and recovery. The result is a data fabric that spans from edge VMs to secondary storage and into the cloud.

Part 2 of this series will be released tomorrow.

The author of this blog is Bob Emmerson, freelance IoT writer and commentator.