The issue, where Nagios Network Analyzer hits 100% CPU usage and triggers gateway timeouts during report generation, is typically caused by the heavy processing load involved in compiling large or complex reports. PDF generation in particular is resource-intensive, especially if a wide time range or multiple data sources are selected.
In order to improve the performance even better, you will have to adjust your report configurations. This adjustment will help with covering the shorter time ranges or limit the number of included data sources. In addition to this, tuning your Apache and PHP configurations can help.you can also try increasing the parameters such as memory_limit, max_execution_time, andMaxRequestWorkers. This will definitely allow your server to handle larger operations more efficiently.
It’s also important to verify the number of background worker threads Nagios Network Analyzer uses. With an 18-core CPU, increasing worker threads can help distribute the workload more effectively. Reviewing your flow data retention settings is another good step, retaining excessive data can lead to high disk I/O and memory consumption during reporting.
Lastly, Nagios provides official documentation on system requirements and performance tuning. Referring to these resources can guide you through recommended optimizations tailored to your environment.
Nagios Network Analyzer System Requirements & Performance Tuning
Nagios Core Performance Tuning Guide
You should monitor the system behavior after applying these adjustments. This will help you identify whether further scaling or architectural changes are needed to support your reporting requirements smoothly.
For reference, this behavior is conceptually similar to what happens in Java applications under memory and processing strain. If you’re curious how performance bottlenecks can lead to application freezes or spikes in other environments, here’s a helpful read:
Solving Intermittent Application Freezes with a Java Memory Analyzer