16 th October Corporate Presentation

16 th October 2007 Leader in network troubleshooting and protocol analysis Leader in scalable real-time analytics and monitoring The New NetScout – A Great Combination Industry leader in network and application performance management solutions

16 th October 2007 Company Background Finance -Stable & Profitable - $280m Revenue - Nasdaq Listed Customers - 13,000 worldwide - 86% of the Global Titans 50 Sales and Services - Sales & distribution in 30+ countries - Global support & training - 70 Support Staff across 5 Centres WW People employees worldwide R&D - Decades of expertise employees in R&D Customer Satisfaction Awards - Omega NorthFace Award - Wells Fargo Continuously Innovative

16 th October 2007 Customers – Service Provider

16 th October 2007 Customers - Enterprise

16 th October Netscout Architecture & Solutions

16 th October 2007 NetScout Architecture Primary Instrumentation Points nGeniusProbe MPLS WAN

16 th October 2007 NetScout’s Core Strength: KPI-Flow-Packet Approach Bottom Up Data Top Down Workflow

16 th October 2007 KPI-Flow-Packet Approach Example metricsQuestions answered KPI Application response time, errors, packet loss, VoIP quality “How fast is each application running?” “Is that response time acceptable?” “Are there any errors for that application or network area?” “What is the success rate?” “Is voice quality acceptable?” Flow Conversations, utilization, top talkers, volume, worst performing “What are the worst performing links/applications/servers?” “Who is using the application?” “How does this new application roll out affect bandwidth? PacketBounce charts, packet decodes, call trace, etc. “What was the conversation exchange for SAP on the WAN last Tuesday?” “Why does the Web experience problems only intermittently? “How do I troubleshoot multi-tier applications?”

16 th October 2007 Customer Calls Support Root Cause Found Correction Customers Impacted Service Outage Performance Problem Origin Prevention Opportunity Reactive Analysis Recovery The Ultimate Payoff – Reduced MTTR Customer Satisfaction Data-Driven Anomaly Detection Automated Flow-based Diagnosis Correction Customers Not Impacted!

16 th October Proactive Monitoring

16 th October 2007 Proactive Monitoring KPIs for Early Detection of Service Issues How fast is the service running? Is that response time acceptable? Are there any errors? What is the success rate?

16 th October Real-Time Troubleshooting

16 th October 2007 Real-Time Troubleshooting Flow-Analysis for Problem Isolation How are the resources being utilized? How much? By who? How does one service affect another service?

16 th October 2007 Real-Time Troubleshooting cont. Deep Packet Inspection for Definitive Troubleshooting What exactly was the conversation exchange for a specific service? How can we reconstruct a session from the recent past to see what happened? Is there a poorly designed service causing the degradation?

16 th October Reporting

16 th October 2007

Identifies impending congestion at key network locations Statistical underpinnings: Forecasts segment, circuit and application growth, including, days-to-threshold and projection calculations Statistical underpinnings: Forecasts segment, circuit and application growth, including, days-to-threshold and projection calculations

16 th October Tel: +44 (0)