How NetFlow Analyzer monitors 250 distributed interfaces at a datacenter

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This case study describes the implementation and the usage of NetFlow Analyzer at a datacenter where 250 distributed interfaces are monitored with 2 collector servers and 1 central server. They mainly use it for billing and IP grouping.

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How NetFlow Analyzer monitors 250 distributed interfaces at a datacenter

  1. 1. Leading Managed Service Provider uses NetFlow Analyzer for monitoring 250 interfaces Reference Customer Implementation
  2. 2. About the Company 6000 customers 3500 employees $1.2 billion revenue Communications, Data center services & Managed Services
  3. 3. Challenge Billing the customers 1. Based on speed 2. Based on volume Monitoring a specific set of IP groups 1. Bandwidth usage on a per client basis 2. Usage pattern of each client or specific set of clients
  4. 4. Customer’s network info No. of routers – 12 No. of interfaces – 250 No. of collectors - 2
  5. 5. Implementation Router 1 Router 2 Router 3 Router 4 Router 5 Router 6 Router 1 Router 2 Router 3 Router 4 Router 5 Router 6 Flow exports Flow exports Flow exports Flow exportsCollector A Collector B Central Server Site A Site B
  6. 6. How NetFlow Analyzer helped? • Billing reports IT team could generate speed & volume based billing reports with ease • IP Grouping Monitoring bandwidth usage for specific clients with the help of IP grouping feature
  7. 7. IP Grouping • A set of IPs are grouped & monitored • Helps understanding bandwidth usage for exclusively those IP groups • Helped the IT team identify their biggest clients No. of IP groups(in this case) - 70
  8. 8. Billing • Customizable billing reports • Speed & volume based billing • Ability to view older bill plans • IP grouping & billing reports together help in automating billing for different sets of clients • Also acts as a validation tool
  9. 9. Business Benefits • Better visibility into client-specific usage • Automated billing • Improved accuracy in billing • Predictable bandwidth usage & improves forecasting
  10. 10. Thank you saisundhar.p@zohocorp.com

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