A primer for edge infrastructure deployment

– Edge infrastructure deployments are gaining significance as the edge computing market grows rapidly.

– The term "edge" refers to various locations, from remote offices and manufacturing sites (near edge) to communications towers, IoT devices, and autonomous vehicles (far edge).

Organizations must determine which applications to run at the edge, in the public cloud, or in a centralized data center

– Factors to consider include data movement, cost-effectiveness, data security, and the need for real-time insights.

– Data movement is expensive, so storing and analyzing data where it is generated or ingested can be more cost-effective.

– Data security is crucial, especially as edge sites may be more vulnerable targets. Privacy regulations might require data to be stored locally or in-country.

– The value of data lies in analysis for actionable insights. Real-time video analytics and AI are significant edge use cases.

– Real-time video analytics can be applied in various scenarios, such as defect detection on a manufacturing line, virtual customer experiences in retail, and video surveillance for worker safety in warehouses.

– Edge infrastructure should be dynamic, scalable, and capable of meeting performance goals, with resources located at the same site where data is captured.

– Hyper-converged infrastructure (HCI) is a popular architectural approach for edge deployments as it consolidates compute, network, and storage onto each server for a smaller footprint.

– It's important to choose a cost-effective architecture that can support a broad range of workloads and assess the processing and storage needs of those workloads.

– Infrastructure at the edge should support remote deployment and management, allowing consistency across multiple remote sites for better security and reduced operating expenses.

– Edge infrastructure options need to be evaluated to ensure they meet the requirements for secure and capable compute, network, and storage to support expanding operations.

– SNIA is a not-for-profit global organization that leads the storage industry in developing and promoting vendor-neutral architectures, standards, and educational services.

– SNIA's NSF covers topics related to networked storage and associated technologies, such as block, file, and object storage, virtualized and hyper-converged platforms, and cloud-to-edge infrastructure insights.