Welcome to the Implement Performance Monitor Practice Lab. In this module you will be provided with the instructions and devices needed to develop your hands-on skills.
In this module, you will complete the following exercises:
- Exercise 1 - Collect Performance Monitor Data
- Exercise 2 - Configure Data Collector Sets
- Exercise 3 - Configure Resource Monitor
After completing this lab, you will be able to:
- Collect performance metrics on CPU, memory and disk using Performance Monitor
- Use data collector sets to collect performance data unattended
The following exam objectives are covered in this lab:
- Understand performance monitoring - Methodology, procedures, effect of network, CPU, memory and disk, Performance Monitor, Resource Monitor, Task Manager, performance counters, data collector sets
It will take approximately 45 minutes to complete this lab.
Exercise 1 - Monitor Server Hardware with Performance Monitor
Regular monitoring of your computing systems helps ensure their best performance at all times as well as avoid any abrupt breakdowns that can disrupt the operations. Windows OS offers built-in tools to monitor system performance on Windows workstations. These tools measure the system activity to gather and store data about the system states. This data can then be depicted as charts, reports, and log files to analyze, trace, and automate the system state monitoring. The monitoring results can be viewed in real time as well as analyzed at a later time.
Performance Monitor is an application where you can specify the system parameters to track. Performance Monitor then captures the relevant values at specified time intervals. You can use these value-logs to monitor application and hardware performance in real time, specify the format (charts/graphs/reports) to present the data, define the thresholds to raise alerts and initiate automatic actions, and view the past performance data.
Exercise 2 - Explore Performance Monitor Features
Performance monitor gives you the capability to capture metrics on the important server resources. Depending on the requirements of your organization, data can be collected in unattended mode by using Data Collector sets.
The captured performance statistics in Data Collector Set can be exported into line charts, histogram and reports. These different views present the information into meaningful format which can be interpreted by IT staff to investigate system activity on a server.
Alerts can be set up to warn the IT personnel about potential bottlenecks that may occur if a system resource being monitored has crossed the threshold value set in Performance Monitor,
Exercise 3 - Detecting System Bottlenecks
Bottlenecks happen when a computer resource (CPU, disk, memory, network interface, and process) reaches its capacity, causing the performance of the entire system to slow down. Bottlenecks are usually caused by insufficient or misconfigured resource or faulty system components and frequent requests for resources by an application.
Regular system monitoring can help you detect bottlenecks and manage the same to avoid performance deterioration. To setup an effective system monitoring, specify counters, define baselines, and configure the monitor alarms to raise a flag as soon as a baseline is breached.
To optimize your computer’s performance, develop baselines for each system. A performance baseline is the expected level of system performance as measured through a performance monitoring application. The baseline can be defined in a policy, or collected from actual system activity.
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