Performance monitoring involves regularly verifying and tracking how consistently and productively your digital platforms are performing. This may involve using dashboards and alert systems to track key performance indicators (KPIs). Action may be taken if significant changes in performance occur.
Implement these tips to determine whether your performance monitoring strategy is effective.
Monitor the Data Collection
Make sure your server monitoring platform is scalable. This is essential as your data collection and reporting needs change over time.
Your data collection must have sufficient detail for each metric at the poll interval level. This requires enough storage to hold the data at the poll intervals.
Develop a Baseline
Create a baseline for each server monitoring metric. This lets you set alerts for unusual server or network performance.
Define the Performance Alerts
Performance alerts typically are breaches of a static threshold and baseline deviation. Both require frequent review, especially in the early stages of performance monitoring. Otherwise, normal changes in workloads may create false positive alerts.
Establishing sufficient historical performance statistics for each metric provides more effective predictions of events that may impact service. This results in fewer false positives.
Establish the Report Creation
The server monitoring tools include visual and printed reports showing the performance statistics required for server monitoring. Additional online and paper reports are typically required to help resolve issues.
The visual monitor must be as close as possible to real-time. Also, the data must be properly stored to accommodate increasing workloads. This may involve archiving the data by period or moving it to a distributed database architecture.
Focus on the Data Analysis
Predict which events will impact service and how to troubleshoot them. Also, look for any bottlenecks or potential configuration changes that could benefit the performance of the infrastructure.
Consider using tools that model infrastructure changes. These models help make informed decisions about whether to fix or replace the infrastructure.
Look at the Result Distribution
Share the results of the server monitoring with your IT team. This helps everyone carry out their functions.
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