Slow applications impact businesses more than we think. Many think that application performance only affects users accessing information and productivity of employees. However, a study shows that poor application performance has a direct impact on revenue.
Aberdeen Research surveyed 200 organizations to learn about the impact of poor application performance. About 60% reported that they were not happy with performance of applications that were critical for their business. They also said that slow applications impacted their corporate revenues by up to 9%. Other common problems of poor application performance were:
- 58% respondents experienced decline in employee satisfaction
- 47% respondents saw decline in responsiveness to the needs of users
- 32% respondents mentioned damage to their brand reputation
- 31% respondents reported reduced productivity of their staff
There are many reasons that make maintaining application performance difficult. The most important one is inability to identify issues before end users are impacted. Poor network documentation often causes this delay. Up to date network diagrams are critical for real time troubleshooting. 45% of the surveyed enterprises were concerned about the lack of performance visibility as they continue to add more business applications. The problem with application performance can be summarized as lack of visibility into network and performance of applications.
The four step Map-Driven PHD methodology makes uncovering these issues exponentially faster. This network troubleshooting method leverages advanced visualization and automation to minimize the use of the CLI.
Step 1: Map the Application Path Instantly
You can instantly create a layer-2 or layer-3 path of the application flow with automation that leverages live gateway information and routing tables.
Step 2: Probe Performance Hotspots
With multiple devices in the path, trying to find which link is congested or dropping packets is difficult. You can turn on live monitoring with one click to view link status, memory utilization, packet loss and more.
Step 3: Historical Analysis: Compare Network Status against a Baseline
Whether you suspect a routing, configuration, or topology change is to blame, you can instantly uncover what’s changed to cause the problem. Automatically compare route tables, configuration files, and show-command output against a working baseline to highlight what’s changed. You can also draw the application path using historical data so you can visualize what’s changed.
Step 4: Drill-Down for Root Cause
If you suspect congestion, use NetFlow to drill-down top-talkers. For hundreds of other causes, leverage automation procedures to find the root cause. Helpful procedures include ‘CPU Overutilization’, ‘Queue Drop’, ‘Link Congestion’, and ‘Flapping Links’.
Businesses need to understand their network better to maintain healthy revenues, enhance staff productivity and user experience. What application problems affect you the most? Do you have other, more efficient ways of maintaining application performance? Let me know by commenting below.

















