Capacity Planning
Solution Overview
Capacity planning with the Watch4Net APG Suite allows users to have predictive visibility into service degradation for preemptive troubleshooting and for future capacity needs. Capacity Planning reports present to IT Staffs (Operations, Engineers, Managers) the current resource utilization and actual delivered performance alongside with projections for future capacity needs.
Trend report reveals patterns over time
Key Features
Trend Reports to reveal patterns over time
APG uses the historical data to analyze trends and present them to the users. Various dashboards and summary reports present to the IT Staff capacity issues and performance degradation into a large environment, so they can pinpoint over-utilized resources, under-utilized resources, high increase resources across network devices, servers, applications and response times.
Baseline Deviation Detection
One analysis technique compares the current statistics against the historical norm (the "baseline"). Then, the user can detect significant deviations. The baseline period is fully configurable: the daily baseline is the average of the values measured at the same time on each of the X previous days. The weekly baseline is the average of the values measured at the same time on the same day on each of the X previous weeks.
Forecasting Analysis
The historical data is used to construct a trend line using a polynomial algorithm. In addition, the trend line is compared to a threshold to determine how long it will take for the trend line to reach the threshold. Sophisticated forecasting reports and dashboards predict the future value, assuming a linear evolution, and display actionable information to users such as:
- The actual value
- The one week increase (in %)
- The expected value in 30 days
- When the value should run out of capacity
Users can use that information to anticipate a soon-to-be problem and to enable informed capacity planning decisions.
Forecasting analysis
Predictive Alerts
APG continuously analyses in real-time thousands of metrics across all network, system and application components, and triggers an alert as soon as a potential problem (actual or future) is detected. This enables operations' staff to react to performance issues before they critically impact service levels, and to accelerate problem investigation and resolution.