Aviz Networks details ONES Forecast in ONES 4.3
Aviz Networks has added ONES Forecast in ONES 4.3, a dashboard feature that projects short-term trends from existing monitoring data across infrastructure metrics such as CPU, memory, storage, network bandwidth, power supply unit health, RoCE performance, capacity, and optical links. The update is aimed at teams that want to assess how to use trend data for maintenance, planning, and operational visibility without changing their current workflow.
Product Update
ONES Forecast runs inside the ONES pages teams already use for Health, Traffic, Capacity, and Links. Users can turn on a forecast toggle to overlay a dashed projection on historical charts, which lets them view current readings and expected direction on the same screen.
The feature does not require separate screens or exports. According to the blog, it is available without additional configuration.
Technical Breakdown
The forecast function uses recent trends from monitored metrics to estimate short-term behavior. The blog says it applies to system health, component health, disk and storage, network traffic, advanced fabrics, capacity, and optical links.
Examples listed in the post include CPU and memory, PSU voltage and current, drive temperature and wear indicators, interface throughput, RoCE queue and congestion counters, routing table usage, ASIC resource utilization, and transceiver power, temperature, and voltage.
Operational Impact
The blog says the feature can help teams identify pending issues before they become incidents. It cites use cases such as spotting memory leaks, planning maintenance before alerts occur, and replacing hardware before failure.
It also points to capacity planning and storage lifecycle planning. Forecasting network utilization and endurance trends, the post says, can help teams time upgrades, avoid emergency purchases, and coordinate provisioning.
Leadership Perspective
Aviz Networks frames the feature as useful for teams managing more distributed infrastructure and more demanding workloads, including AI and HPC environments. The post says forecasting can support better-informed operational decisions when teams have less time and fewer resources.
The company presents forecast data as a shared view on existing dashboards for engineering, operations, and leadership. The blog signals brief is a fact-based summary of the vendor blog.