Network+ (N10-009) Objective 3.0: Network Operations

Network Monitoring Tools
Essential tools for monitoring network performance and health

SNMP

Simple Network Management Protocol

A protocol for collecting and organizing information about managed devices on IP networks and for modifying that information to change device behavior.

Key Features: Polling, Traps, MIBs, Get/Set operations

NetFlow

Network Flow Analysis

A network protocol for collecting IP traffic information and monitoring network flow, providing data about who, what, when, and where network traffic is flowing.

Key Features: Bandwidth monitoring, Application identification, Flow analysis

Syslog

System Logging Protocol

A standard for message logging that allows separation of the software that generates messages, the system that stores them, and the software that reports and analyzes them.

Key Features: Centralized logging, Severity levels, Message categorization

RMON

Remote Network Monitoring

A standard monitoring specification that enables various network monitors and console systems to exchange network-monitoring data.

Key Features: Traffic analysis, History collection, Alarm thresholds

IDS/IPS

Intrusion Detection/Prevention Systems

Systems that monitor network traffic for suspicious activity and issue alerts (IDS) or take action to prevent the activity (IPS) when detected.

Key Features: Signature detection, Anomaly detection, Real-time monitoring

Performance Monitoring

Resource Utilization Tracking

Tools that monitor network device performance metrics such as CPU usage, memory utilization, and interface statistics.

Key Features: Resource tracking, Threshold alerts, Trend analysis

Network Baselines
Establishing normal operational parameters for comparison

A network baseline documents the normal operation of a network, providing a reference point for identifying abnormal behavior. It should include:

Baseline Components

  • Normal traffic patterns and volumes
  • Typical bandwidth utilization
  • Expected latency and jitter measurements
  • Standard error rates on interfaces
  • Regular CPU and memory usage
  • Common application response times

Baseline Best Practices

  • Collect data over an extended period (2-4 weeks minimum)
  • Include peak usage periods and different business cycles
  • Regularly update baselines as the network evolves
  • Document both averages and maximum/minimum values
  • Use automated tools for consistent measurements

Using Baselines for Troubleshooting

When troubleshooting network issues, compare current performance metrics against established baselines to identify deviations. This helps to:

  • Quickly identify abnormal behavior
  • Determine the severity of an issue
  • Focus troubleshooting efforts on the most significant changes
  • Validate that implemented solutions have restored normal operation