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How NetFlow Analyzer monitors 600 distributed interfaces at a manufacturing company

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This case study is about how a distributed network consisting of 14 collectors and 600 interfaces had bandwidth monitoring problems and how NetFlow Analyzer helped solve the problems.

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How NetFlow Analyzer monitors 600 distributed interfaces at a manufacturing company

  1. 1. Leading Manufacturer of power train components uses NetFlow Analyzer for monitoring 600 interfaces Reference Customer Implementation
  2. 2. About the Company 21,000 employees 35 manufacturing units 14 countries – Asia, Europe, North & South America $42 Million revenue Manufactures aluminum powertrain components (cylinder heads, engine blocks and transmission parts for light vehicles etc.)
  3. 3. Challenges • Global network – Highly distributed & no visibility into network usage • Need to monitor different device groups • Monitoring the different sites individually from 1 console • Barracuda networks and IPFIX exports
  4. 4. Customer’s network info No. of routers – 33 No. of interfaces – 600 No. of collectors - 14 Device type – Barracuda Flow export - IPFIX
  5. 5. Implementation Router 1 Router 2 Router 3 Router 4 Collector A Central Server Site 1 Router 2Router 1 Router 3 Router 4 Collector B Site 2 Router 1 Router 2 Router 3 Router 4 Site 3 Router 2Router 1 Router 3 Router 4 Site 17 Collector C Collector N
  6. 6. NetFlow Analyzer’s abilities • Device Grouping Very useful to monitor multiple networks as a single entity • Barracuda networks One of the very few vendors that support Barracuda networks
  7. 7. Device group list (As used by the customer)
  8. 8. How NetFlow Analyzer helped • Device grouping & monitoring specific set of devices • Monitoring across multiple locations • Collector-specific dashboards • Real-time view of highly distributed network • 14 IP groups
  9. 9. Business Benefits • Real-time monitoring of 600 interfaces across 17 collectors • Smooth provisioning of enough bandwidth for 20,000 employees • Single console view of multiple device groups that are highly distributed • 14 different IP groups(departments)
  10. 10. Thank you saisundhar.p@zohocorp.com

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