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.
AWS Community Day CPH - Three problems of Terraform
How NetFlow Analyzer monitors 250 distributed interfaces at a datacenter
1. Leading Managed Service Provider
uses NetFlow Analyzer for
monitoring 250 interfaces
Reference Customer Implementation
2. About the Company
6000 customers
3500 employees
$1.2 billion revenue
Communications, Data center services & Managed Services
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
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. 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. 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. 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. Business Benefits
• Better visibility into client-specific usage
• Automated billing
• Improved accuracy in billing
• Predictable bandwidth usage & improves
forecasting