Written by Nicholaos Sirris
Something breaks. The dashboard shows green. Logs pile up without pointing to the issue. You check interfaces. Then links. Then traps. Still no clear signal.
Most tools collect the data. The problem is in how they store it.
Once polling intervals stretch or averages kick in, the moment you’re looking for gets harder to find. If the event only lasted a minute or two, it may not be visible at all.
Fast troubleshooting starts with the right view. Polling needs to happen every 60 seconds. Data needs to stay intact. Graphs need to load quickly and allow teams to investigate without switching between tools.
At Tufinnovate 2025, the AKIPS sessions focused on how real-time polling and high-resolution metrics support these outcomes. The walkthroughs showed how to identify root cause, confirm when an issue began, and make faster decisions based on what actually happened.
This is what it looks like when teams have the data they need, exactly when they need it.
The problem isn’t the data. It’s how long it takes to find the right moment
AKIPS polls every monitored object once per minute. This includes interface statistics, CPU load, peer state, and power supply status. Nothing is averaged. Data remains accessible at full resolution, even across multiple years.
This makes it possible to zoom in on a specific incident with confidence. Teams can isolate the exact minute something changed and investigate around that point in time. They can look at interface error volume, discards, or DBM values and identify ongoing patterns or sudden shifts.
This level of detail supports real analysis. It gives teams the precision needed to act quickly and explain exactly what happened.
Polling reveals the things devices don’t always say
AKIPS actively polls devices every 60 seconds. That includes SNMP data for status exceptions, power states, peer health, and interface performance. This complements syslog and traps, which are also supported but rely on devices to send information.
Polling checks the device state directly. The platform collects data on CRC errors, discards, CPU thresholds, memory load, and SFP signal values when available. These are gathered without requiring custom inputs or extra setup.
AKIPS also tracks when a device becomes unreachable. That polling failure is immediately visible and can trigger alerts or be used for deeper investigation. The result is full-state visibility across multiple types of metrics.
Data is only useful if you can move through it quickly
AKIPS renders graphs quickly, even when showing raw polling data. Teams can zoom from a multi-day view down to a specific minute with no delay. Each data point is accessible, and each view leads directly to another.
From the interface level, users can jump into error graphs, utilization trends, or device status changes. These drilldowns happen through clicks, not queries. The graph view shows live errors, and the detail beneath reveals when they occurred and whether they persist.
This also applies to syslog. AKIPS provides filtering options using regex patterns, allowing teams to reduce noise and isolate high-signal events. Filters can be applied to individual messages or across devices, depending on visibility needs.
The platform includes purpose-built reports that support day-to-day operations. These cover unused interface detection, error-disabled ports, entity sensor values, and signal degradation. Each report updates continuously and links directly to relevant graphs or summaries.
Navigation is fast at every level. Teams can pivot from an event list to a graph, then to a syslog view or interface table, all in the same session. The platform removes the need to jump between tools or stitch together context from different sources.
Faster visibility shortens the time to resolution
Real-time polling allows teams to respond early. Problems can be spotted before users report symptoms. Issues like interface errors, power module degradation, and link saturation appear in dashboards and graphs with minute-level accuracy.
Each issue includes context. Teams can determine how long something was down, how frequently it recurred, and what other devices were affected. If an interface dropped during a peak period, that can be confirmed through a single graph and sorted view.
This helps teams stay aligned. Everyone sees the same metrics, on the same timeline, using the same system. That consistency improves both speed and accuracy during resolution.
How real teams apply these workflows in everyday operations
The Tufinnovate session walked through examples pulled directly from real-world scenarios. These included internet links with near-saturation, transceivers showing degraded DBM values, and interfaces reporting constant error volume.
Each example used out-of-the-box capabilities. Reports surfaced unused ports based on historical polling. Status exception tables highlighted degraded states across hardware types. Graphs showed minute-by-minute correlation between utilization spikes and dropped connections.
No custom code was required. Every workflow used native polling, sorting, drilldowns, and graphing features. The data was live, and the navigation was immediate. These tools are structured for environments that move quickly. The design supports faster answers, clearer handoffs, and tighter control during incidents.
Can your monitoring do this?
- Poll every interface, device, and metric every 60 seconds (without gaps or averaging)?
- Retain full-resolution data for multiple years and search it by the exact minute?
- Visualize interface health, CPU load, BGP peer state, memory usage, and DBM signal levels with no extra configuration?
- Zoom instantly from a week to a minute in any graph, and load each view in seconds?
- Access built-in reports for flapping ports, unused interfaces, and degraded sensors (without scripts)?
- Filter syslog noise using regex from within the platform itself?
- Detect polling failures and degraded states without waiting for a trap to fire?
- Follow an issue from symptom to root cause using just clicks, not context switching?
- Use all of these capabilities out-of-the-box, without writing custom code or building dashboards manually?
If any of these are a struggle today, contact us for a live AKIPS demo and see how real-time visibility changes the way teams troubleshoot.