Active monitoring: The classic testing approach
Active monitoring stands as a cornerstone in the realm of network performance assessment. This methodology involves the deliberate injection of synthetic traffic into a network to evaluate its performance under controlled conditions. By simulating real-world scenarios, active monitoring provides network administrators with valuable insights into the health and capabilities of their infrastructure.
At its core, active monitoring operates independently of live traffic. Rather than analyzing existing network activity, it creates test scenarios to identify potential issues and assess network performance. This approach utilizes specialized tools and software that generate and send test traffic across the network, measuring various performance metrics along the way.
Key features of active monitoring include:
- Synthetic traffic generation: Active monitoring tools create and send test data packets that mimic real network traffic. These packets traverse the network, allowing the measurement of performance metrics under controlled conditions.
- End-to-end testing: By simulating traffic between endpoints, active monitoring can assess the entire communication path, including all network elements in between.
- Customizable test scenarios: Network administrators can design specific test cases to evaluate particular aspects of network performance or to simulate high-stress situations.
- Repeatable measurements: Each test is a controlled experiment where only the condition of the network changes
- Scheduled testing: Tests can be automated and scheduled to run at regular intervals, allowing continuous monitoring and trend analysis over time.
The methodologies employed in active monitoring typically involve sending test packets or making test calls across the network and analyzing the results. In VoIP environments, active monitoring might utilize artificial endpoints that mimic the characteristics of devices such as Controller Working Positions (CWPs), radios and Voice Communication Systems (VCS). These artificial endpoints generate simulated voice traffic to assess call quality and network readiness for real-time communication.
While active monitoring offers several advantages, it is important to consider its characteristics objectively. It provides an independent assessment of network performance, without relying on live traffic. This allows potential issues to be identified even in low-traffic periods or before a new service launch. The ability to simulate various scenarios, including extreme conditions, offers valuable insights into network capabilities and limitations.
Furthermore, active monitoring excels in providing detailed, end-to-end metrics on network performance. The reproducibility of test scenarios enables easy comparison over time, facilitating the detection of gradual performance degradations.
However, not relying on live traffic is not only a strength, it can also be seen as a limitation. The introduction of additional traffic into the network can potentially impact service performance, especially if tests are improperly configured or scheduled too frequently. Moreover, while active monitoring offers controlled testing, it may not always reflect real-world conditions experienced by actual users. The insights gained are limited to the specific paths and scenarios tested, potentially missing issues that occur in unmonitored segments of the network or during periods between tests. Also, while an end-to-end view is valuable when results are good, it does not help to locate potential issues within specific segments of the network.
In conclusion, active monitoring serves as a powerful tool in the network assessment arsenal, offering independent performance evaluation and detailed insights. However, its limitations underscore the importance of a comprehensive monitoring strategy that combines multiple approaches for a holistic view of network health.