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Quest Training

Network Performance Monitoring & KPIs Training Course

Develops the skills to monitor network health with the right KPIs, evaluate service quality, detect performance degradation and improve reliability.

NQSA · Network Performance, QoS & Service AssuranceAll Levels#2790ClassroomEnglish , Arabic
Duration
5 Days
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Free substitution at any time · 30+ days' notice: full refund minus 10%. Cancellation policy

Sectors:Telecommunications & Satellite TechnologyCategories:Network Performance, QoS & Service Assurance

Course Overview

The Network Performance Monitoring & KPIs Training Course develops the technical and analytical skills required to monitor network health, evaluate service quality, identify performance degradation, and improve network reliability. The course focuses on performance measurement and monitoring practices across enterprise networks, telecommunications infrastructure, data centers, and IP-based environments. Participants explore network performance indicators, monitoring architectures, data collection methods, performance baselines, threshold configuration, and trend analysis. The programme examines key metrics such as availability, latency, packet loss, throughput, bandwidth utilization, jitter, and error rates, explaining how these indicators help identify bottlenecks, detect emerging faults, and assess the effectiveness of network operations. The course also addresses the design of performance dashboards, alerting strategies, capacity utilization reports, and service-level monitoring. Participants learn how to distinguish isolated incidents from persistent performance problems, correlate network events with service degradation, and translate technical measurements into actionable operational insights. Particular attention is given to aligning technical KPIs with service-level agreements (SLAs), business requirements, and user experience. Through practical exercises and performance analysis scenarios, participants develop the ability to interpret monitoring data, establish meaningful performance targets, investigate network anomalies, and prepare evidence-based improvement recommendations. The course supports organizations seeking to strengthen proactive monitoring, optimize network resources, reduce service interruptions, and improve the consistency and quality of network services.

Learning Objectives

  • Explain the principles and operational value of network performance monitoring.
  • Identify appropriate performance indicators for different network technologies and services.
  • Configure performance thresholds, baselines, alerts, and monitoring intervals.
  • Analyze network availability, latency, jitter, packet loss, throughput, and bandwidth utilization.
  • Interpret monitoring dashboards, performance reports, and network telemetry.
  • Identify performance bottlenecks, abnormal traffic patterns, and recurring degradation.
  • Apply trend analysis and capacity monitoring to anticipate infrastructure constraints.
  • Correlate performance metrics, network events, and incident records to support troubleshooting.
  • Develop KPIs aligned with SLAs, service quality objectives, and business priorities.
  • Design performance dashboards and reports for technical teams and management.
  • Evaluate monitoring effectiveness and recommend improvements to measurement and alerting processes.
  • Prepare a practical network performance improvement plan based on measurable indicators and operational evidence.

Who Should Attend

This course is designed for professionals responsible for monitoring network infrastructure, evaluating service performance, analyzing technical metrics, and improving the reliability of digital connectivity. It is suitable for telecommunications operators, enterprise IT departments, managed service providers, data centers, and organizations operating complex or distributed networks. The programme is particularly relevant to: Network performance engineers and analysts. Network Operations Center (NOC) engineers, supervisors, and managers. Telecommunications engineers and network administrators. IP network, routing, switching, and transmission specialists. Network monitoring and observability professionals. IT infrastructure and data center operations teams. Service assurance and service quality specialists. Capacity planning and network optimization engineers. IT service management (ITSM) professionals. Technical support and incident management teams. Network architects and infrastructure consultants. IT operations managers and service delivery professionals.

Learning Outcomes

  • Explain the role of performance monitoring in maintaining network reliability and service quality.
  • Select appropriate KPIs for network devices, connectivity, applications, and services.
  • Interpret performance measurements and distinguish normal variations from abnormal conditions.
  • Calculate and evaluate availability, latency, packet loss, throughput, and utilization indicators.
  • Establish performance baselines and configure meaningful monitoring thresholds.
  • Analyze performance trends to identify emerging faults and capacity constraints.
  • Correlate alerts, telemetry, and incident records to investigate network degradation.
  • Design dashboards and reports that communicate performance status and operational risks.
  • Evaluate network performance against SLAs and defined service quality targets.
  • Identify opportunities to improve monitoring coverage, alert accuracy, and reporting effectiveness.
  • Recommend optimization measures based on performance data and root cause findings.
  • Develop a measurable improvement roadmap for network performance monitoring and management.

Course Outline

Day 1

Network Performance Monitoring Fundamentals

  • Principles, objectives, and business value of network performance monitoring.
  • Differences between fault monitoring, performance monitoring, availability monitoring, and network observability.
  • Network components and service dependencies across LAN, WAN, wireless, IP, transmission, and data center environments.
  • Performance monitoring architectures and data collection methods.
  • Overview of SNMP, syslog, network flow data, telemetry, and device-level counters.
  • Understanding key performance indicators and their relevance to different network services.
  • Network availability, response time, latency, jitter, packet loss, throughput, and bandwidth utilization.
  • Establishing performance baselines and identifying normal operating patterns.
  • Monitoring intervals, measurement frequency, data retention, and sampling considerations.
  • Common challenges in network monitoring, including incomplete visibility, inaccurate measurements, and excessive alerts.
  • Practical Exercise: Review a sample network performance dataset, identify the principal KPIs, establish an initial performance baseline, and distinguish normal network behaviour from potential performance issues.
Day 2

KPI Selection, Measurement, and Threshold Management

  • Defining performance objectives and selecting indicators that reflect operational requirements.
  • Technical KPIs for routers, switches, firewalls, wireless infrastructure, and network interfaces.
  • Measuring interface utilization, packet errors, discarded packets, CPU usage, memory utilization, and device availability.
  • Service-level indicators and objectives for network connectivity and application access.
  • Understanding the relationship between latency, jitter, packet loss, and user experience.
  • Defining warning and critical thresholds based on baselines, service requirements, and operational risk.
  • Configuring alerts, notifications, escalation rules, and monitoring dependencies.
  • Avoiding misleading KPIs, inappropriate thresholds, and excessive alert generation.
  • Measuring service availability and evaluating planned versus unplanned downtime.
  • Mapping technical KPIs to SLAs and operational-level agreements.
  • Practical Exercise: Develop a KPI framework for an enterprise network, define measurement methods and target thresholds, and establish warning and critical alert conditions for selected network components.
Day 3

Performance Analysis, Troubleshooting, and Bottleneck Identification

  • Interpreting network performance dashboards, historical data, and real-time telemetry.
  • Identifying abnormal traffic patterns, sudden performance changes, and persistent degradation.
  • Analyzing bandwidth saturation, interface congestion, packet loss, latency spikes, and routing instability.
  • Investigating DNS delays, connectivity issues, retransmissions, and application response problems where relevant.
  • Using network flow analysis to understand traffic distribution and identify high-consumption sources.
  • Correlating monitoring events with configuration changes, maintenance activities, and incident records.
  • Distinguishing network-level problems from application, server, and external connectivity issues.
  • Applying systematic troubleshooting methods to isolate performance bottlenecks.
  • Root cause analysis for recurring performance degradation and service instability.
  • Documenting findings, technical evidence, corrective actions, and verification results.
  • Practical Exercise: Analyze a simulated network performance incident using KPI trends, interface statistics, and event logs to identify the likely bottleneck, determine its potential cause, and recommend corrective actions.
Day 4

Capacity Planning, Availability, and Performance Reporting

  • Principles of network capacity planning and resource utilization analysis.
  • Monitoring bandwidth demand, traffic growth, interface utilization, and infrastructure headroom.
  • Identifying capacity constraints before they affect service quality.
  • Forecasting network demand using historical trends, growth assumptions, and workload patterns.
  • Evaluating availability, reliability, service continuity, and performance consistency.
  • Understanding service-level agreements (SLAs), service-level indicators (SLIs), and service-level objectives (SLOs).
  • Measuring availability, downtime, performance compliance, and service degradation.
  • Designing operational dashboards for NOC teams, network engineers, and management.
  • Developing daily, weekly, and monthly performance reports.
  • Presenting trends, exceptions, risks, and recommendations in a clear management format.
  • Using performance evidence to prioritize network upgrades and resource allocation.
  • Practical Exercise: Evaluate a monthly network performance report, identify capacity risks and SLA deviations, forecast a potential utilization constraint, and prepare recommendations for network optimization and resource planning.
Day 5

Monitoring Optimization, Automation, and Continuous Improvement

  • Reviewing monitoring coverage and identifying gaps in visibility across network infrastructure.
  • Improving alert quality through threshold tuning, event correlation, deduplication, and dependency mapping.
  • Integrating monitoring platforms with incident management and IT service management systems.
  • Automating performance data collection, KPI calculations, reporting, and routine analysis.
  • Applying scripting and APIs to support repeatable monitoring and reporting workflows.
  • Overview of AIOps and analytics capabilities for anomaly detection and performance forecasting.
  • Establishing governance for KPI definitions, data quality, reporting frequency, and performance ownership.
  • Evaluating monitoring effectiveness through alert accuracy, detection time, incident trends, and operational feedback.
  • Developing corrective and preventive actions based on recurring performance issues.
  • Prioritizing improvement initiatives according to service impact, risk, cost, and expected benefit.
  • Establishing performance review cycles and continuous improvement targets.
  • Practical Exercise: Develop a network performance improvement roadmap for a selected organization, including monitoring gaps, priority KPIs, threshold improvements, reporting enhancements, automation opportunities, responsible teams, and measurable implementation milestones.

Upcoming Dates

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Madrid · 15 – 19 Feb 2027 · Classroom

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9 – 13 Nov 2026€6,000—
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