Monitoring backbone networks
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1 R O N E N N M A N I A D U C A T I O E T W O R K Ro Net Edu Monitoring backbone networks Manuel Șubredu, Valeriu Vraciu RoEduNet Chișinău, September 9, 2014
2 Agenda Why? What? How? Tools? Facts!
3 Why? A picture is worth a thousand words! Frederick R. Barnard, 20 th century
4 What to monitor? Backbone and critical equipment routers, switches, firewalls, load-balancers, etc Servers and services Values of traffic Error rates Transport network equipment, if available
5 How Always use Industry standards for collecting data like: SNMP NetFlow v5/v9 and IPFIX
6 Tools OSS Software largely available SNMP based: NMIS Cacti Weathermap NetFlow based: NFSEN/NFDUMP Custom software Maps using free API from Google Maps (CEENGINE VTR) Maps using different technologies: JS, ActionScript, PHP, SVG, etc (RoEduNet WeatherMap) Proprietary software For optical network
7 Facts for Romanian Education Network! NMIS: home: 90 routers and 20 switches monitored Uses SNMP for collection of data Xen based VPS - 1 x Xeon 2.4Ghz, 1G of memory, 64G of disk OpenSuSE (64 bits) Average load of the server 2-3 3G of disk space for data since 2009 (5 years) Requires some knowledge of Linux system and services for setup
8 NMIS (main page)
9 Facts for Romanian Education Network! Cacti home: Uses SNMP for collecting data Can easily monitor any OID that returns an integer (think about temperature, number of routes, etc) Easy deployment and small requirements (web server with PHP) Easy administration using a web interface Authenticated access, configurable per user views
10 Cacti (custom temperature graph)
11 Facts for Romanian Education Network! Weathermap home: Uses RRDs from NMIS Can be build using only OSS technologies like SVG and JavaScript Is very flexible and can accommodate all kind of data visualisation Major downside requires some programming skills
12 RoEduNet Weathermap
13 Facts for Romanian Education Network! Nfsen/nfdump home: Uses NetFlow (v5 or v9) Can have profiles of subset of data (think about graphs by service type or by IP addresses) Supports plugins (Perl knowledge is required) Supports alerts based on threshold or deviation from the mean Major downside lots of hardware needed on big networks: 1 server for data processing (8 x Xeon E Ghz with 64G of memory) and 22T of storage for 6 month of NetFlow s exported by 13 core routers (8-12Gbps average traffic).
14 Nfsen (main page)
15 Facts for Romanian Education Network! CEENGINE Visual Traceroute home: Based on Google Maps Heavy use of JS and custom web services Backend and data collector written in Perl
16 VTR
17 Facts for Romanian Education Network! Custom maps home: N.A. Frontend based on JS and HTML5 Backend uses multiple OSS services and technologies: Lots of data input points: , http, logs, other databases. PostgreSQL as database server Perl for data processing REST API Low hardware requirements: 1 Xen based VPS with 1 Processor and 4G or memory.
18 Project Asgard
19 (Extra slide RoEduNet Optical network management)
20 Q?
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