AppLogic Networks today announced the results of a live trial deployment at JANOG57 in Osaka, where the JANOG Network Operations Center (“NOC”) team used AppLogic Networks data for real-time monit...

PLANO, Texas: AppLogic Networks today announced the results of a live trial deployment at JANOG57 in Osaka, where the JANOG Network Operations Center (“NOC”) team used AppLogic Networks data for real-time monitoring, troubleshooting, and experience reporting during the event. The trial showcased an Elevated Observability approach that goes beyond traditional monitoring by adding B.E.S.T. insights (Behavior, Experience, Sentiment, and Trends) that help teams make faster decisions, reduce guesswork, and support new services in high-demand environments.
Hosted by SAKURA internet Inc., JANOG57 is one of Japan’s largest operator conferences that brings together thousands of attendees, dozens of sessions, and more than 100 booths. AppLogic Networks participated as an infrastructure supplier, supporting the NOC team alongside other technology vendors.
AI-driven experience scoring powered by AppLogic Networks data
During the event, the NOC team streamed AppLogic Networks data into Grafana and quickly built dashboards with a one-minute interval refresh rate they could use live.
A standout capability was AI-driven App QoE scoring, a sentiment-style scoring system derived from AppLogic Networks’ B.E.S.T. insights that enabled the NOC to view Quality of Experience by access point, room, and floor location.
“We were impressed with how quickly we could stand up live dashboards and focus on the areas that needed attention,” said Yota Egusa, Executive Officer, CIO and CISO, SAKURA internet Inc. “AppLogic Networks’ App QoE at the access point level gave the NOC real-time visibility into end-user experience without waiting for user reports, and it helped us make faster, more confident decisions, including where to deploy standby access points. We also used AppLogic Networks’ AI co-pilot solution (AI AppAnalyst) to generate on-demand queries from natural language questions, which made the data far more practical in the moment than static reports.”
Real-world operational wins during the event
The trial supported practical NOC workflows under live conditions, including:
Why this matters: Do more and create premium services
At a large-scale, community-driven event, the objective goes beyond simply maintaining network uptime. For the NOC team, it is about creating a stable and seamless connectivity experience that allows all participants to engage comfortably without being conscious of the underlying network. At the same time, it is also about ensuring that each NOC member leaves the event with a genuine sense of accomplishment, having strengthened their own skills, confidence, and professional growth through operational experience.
When QoE can be measured and visualized by location, the NOC team can better understand how participants are experiencing the network in real time. This shared visibility fosters collaboration, supports timely operational decisions, and helps the team maintain a smooth and comfortable environment for everyone involved.
“We’re grateful to the teams at JANOG57 for their collaboration and technical partnership throughout the trial,” said Samir Marwaha, Chief Strategy Officer at AppLogic Networks. “JANOG57 reinforced that when network performance is expressed in experience terms, grounded in location and application context, teams gain clearer operational insight and can respond more effectively in real time. In commercial environments, this same approach can also support differentiated, experience-based services.”
About AppLogic Networks
AppLogic Networks helps communication service providers and enterprises turn network and application data into actionable insight, so they can optimize experiences, improve operational efficiency, and unlock new business outcomes. Our portfolio includes ActiveLogic, AppLogic, Maestro Policy Engine, IDS, Deep Insights, Operations Insights, AI AppAnalyst, and Enterprise Insights.
Fonte: Business Wire
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