Hi Rohan,

On Mon, 31 Jul 2017, rohan.henry cwjamaica.com wrote:
Thanks Hugh,

We are considering additional VMs or radiator instances.

in some cases with a high latency backend adding additional processes can work 
wonders.

That is if the backend is able to keep up with the throughput but just has high 
latency.

There are several ways to intelligently increases parallelity in radiator.

I did not see any details on what exactly your are using radiator for and what 
kind of backends you are using.

Greetings
Christian


Regards,
Rohan

----- Original Message -----
From: "Hugh Irvine" <h...@open.com.au>
To: "Rohan Henry" <rohan.he...@cwjamaica.com>, "Heikki Vatiainen" 
<h...@open.com.au>
Cc: "radiator" <radiator@lists.open.com.au>
Sent: Wednesday, July 26, 2017 3:15:31 PM
Subject: Re: [RADIATOR] Radiator AAA stats

Hello Rohan -

In addition to this you should look at a trace 4 debug from Radiator with 
LogMicroseconds enabled.

This will show you the timestamps for each processing step and you will see 
exactly where you are spending time.

If your overall processing from Access-Request receive to Access-Accept being 
sent is say 50 milliseconds, it therefore follows that this instance will only 
be able to handle at most 20 requests per second.

YMMV of course, and this depends greatly on how you have set up your overall 
system.

BTW - I always recommend at the very least running separate instances for 
authentication and accounting.

reagrds

Hugh

On 27 Jul 2017, at 05:17, Heikki Vatiainen <h...@open.com.au> wrote:

On 21.07.2017 17:59, rohan.henry cwjamaica.com wrote:

How do I confirm or calculate the number of concurrent requests a single 
Radiator instance can handle?

It's hard to say how to calculate this. It depends on what the instance is 
configured to do. For example, if it has to proxy requests, you are likely 
going to be bounded by CPU performance. If there are database lookups, the 
instance may need to wait DB responses while its CPU utilisation stays low.

How can I view stats to know when the instance is nearing capacity?

I'd watch CPU utilisation and UDP receive errors (netstat -u -s). The UDP 
receive errors increase if the receive buffer fills up and the kernel has to 
start dropping incoming Radius UDP messages.

If Radiator logs that it is receiving duplicate requests, this may indicate 
that the client is not getting responses as quickly as it needs (or the 
responses are dropped between Radiator and the client). The duplicates may 
indicate that there are problems handling the requests in timely manner.

Depending on your configuration there can be other indicators too, but the 
above should give a starting point.

Thanks,
Heikki

--
Heikki Vatiainen <h...@open.com.au>
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Hugh Irvine
h...@open.com.au

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