07-30-2008 11:53 PM
I have a network with
.700+ desktops& IP Phones
.20 odd servers
.14 3560 access switches
.a 6509 core switch
.2 units of ASA5520
.2 units of WLC-4402
.2 clustered UCM and
.2 2821 WAN Routers.
Looking for a localized MARS solution.Which would be the best fit model?
07-31-2008 02:25 AM
You can get a MARS sizing document from your Cisco Local Account Team
Let us know if that is not an option
Regards
Farrukh
07-31-2008 04:21 AM
Hi Sumesh,
I would only add to Farrukh's suggestion about contacting a local Cisco representative for the sizing document by asking if you have any idea how many events are currently occurring on your network? Additionally, do you have Netflow turned on?
If you can gain a sense of how many logs are being generated and how many Netflows you currently are seeing then you can better use the MARS sizing document to purchase the right MARS solution.
Hope this helps.
Best,
Paul
08-04-2008 11:18 PM
By the way here is some information that may help alot.
i am copying something from Garry's book (violation or copy right ;) ..
Model EPS NfE
MARS-20R 50 1500
MARS-20 500 15,000
MARS-50 1000 30,000
MARS-100e 3000 75,000
MARS-100 5000 150,000
MARS-110r 4500 75,000
MARS-110 7500 150,000
MARS-200 10,000 300,000
MARS-210 15,000 300,000
and regarding the devices
Reporting Device Type Max EPS
Cisco ASA-5520 firewall 10,000
Cisco ASA-5540 firewall 20,000
Cisco PIX 515 firewall 1500
Cisco PIX 535 firewall 15,000
Cisco FWSM 25,000
Windows XP, 2000, 300
Snort IDS 1000
Cisco IPS 1300
Check Point FW-1 3500
Cisco IOS switch 200
Cisco IOS router 300
NetScreen VPN 1000
Cisco VPN-3000 con 500
To get know the exact # of EPS,
Begin with your Internet-facing firewalls. To get a rough idea of the EPS being generated,
select a log file from your firewalls that spans one or more days. Follow these steps to
determine the average EPS from these devices in a 24-hour period:
Step 1 Gather the logs for one or more 24-hour periods.
Step 2 Count the number of lines in the file or files.
Step 3 Divide the number of lines by the number of 24-hour periods the file
contains.
Step 4 Divide this number by 86,400.
The number you get will be the average number of EPS in that 24-hour (or longer) period.
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