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• SQLServer 2008 FailOver and Load Balancing

  - by Jedi Master Spooky

  I have a project with a 2TB database ( 450.000.000 rows). I need to provide to the proyect a solution that gives FailOver and load Balacing, what do you recommend? We are going to use a NetApp Filer for the Data Files and for the File System of the Proyect. I read that SQl Clustering does not provide load balacing. If I cannnot have this feature and I have to go only to the FailOver what Server ( I presume that the key feature here is memory) would you recomend. We are adding 1.000.000 rows a day. Once the rows is inserted we are doing a lot of updates to that row for about 1 week then the row get static. Because of this I am thinking in some kind of history table or database or something like that. I am open to the Os servers implementation, I was thinking of a windows 2008 server with cluster but this depend of the database solution

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• ECMP Load Balancing in JUNOS

  - by SpacemanSpiff

  I'm trying to figure out how to use ECMP load balancing in JUNOS. I know this isn't the best way to load balance, but its quick and dirty and gets done what I need to. In ScreenOS this was pretty easy. Device: SRX220 JunOS: 10.3R2.11 Here's what I've got so far: routing-options { static { route 0.0.0.0/0 { next-hop [ 1.1.1.1 1.1.1.2 ]; metric 10; } } maximum-paths 2; Will that do it? Tom

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• Server load is spiking from 2 to 250

  - by Hakzona

  Hello, I'am using Wordpress 2.9. Webserver 8GB from Hostgator. I'am fighting with this problem for long time but still can not find the solution. Php switched to run as an apache module, Php 5 in DSO, Apache suEXEC, eaccelerator installed, but this configuration started making huge server load on server. Server load spiking from 1 to 250 (4 cpus) and server stops, after period of time its back again and stops in about 10 minutes. It started happening when hostgator support team installed eaccelerator on server. What can make this problem and how can I fix it?

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• How to create basic load balancer?

  - by Ilya Rusanen

  guys. I'd like to deploy my app on two different servers, located in US and Germany. As I suppose, I need to set up some kind of load balancer, that would deternime from which country my user is, and resolve it to US/Germany server. The general aim is to provide user abitiliy to work with the closest server (CDN is not a solution, 'cause we dont share static content). Where should I place load balancer that would resolve user to USA/GER severs? In usa/germany? What shold it look like? A usual server with some specific app or what? Thank you.

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• Apache SSL losing session over load balancer

  - by SaltyNuts

  I have two physical Apache servers behind a load balancer. The load balancer was supposed to be set up so that a user would always be sent to the same physical server after the first request, to preserve sessions. This worked fine for our web apps until we added SSL to the setup. Now the user can successfully login, see the home page, but clicking on any other internal links logs the user right out. I traced the issue to the fact that while initial authentication is performed by server 1, clicking on internal links leads to having the request sent to server 2. Server 2 does not share sessions with server 1, and the user is kicked out. How can I fix it? Do I need to share sessions between the two servers? If so, could you point me to a good guide for doing this? Thanks.

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• How to set RpcClientAccessServer for a Exchange 2010 mailbox database to a load balancer

  - by Archit Baweja

  I have 2 Exchange 2010 servers each with a Mailbox Database. I have also setup a Hardware Load Balancer (KEMP LoadMaster 2200 to be precise) to load balance the CAS role access. My HLB has an IP of 192.168.1.100. I've setup the DNS A record for mail.mydomain.com to point to 192.168.1.100. However when I try to set the RpcClientAccessServer on a mailbox database using Set-MailboxDatabase "My Mailbox Database" -RpcClientAccessServer mail.mydomain.com I get an error saying Exchange server "mail.mydomain.com" was not found. Please make sure you have typed it correctly. + CategoryInfo : NotSpecified: (:) [], ManagementObjectNotFoundException + FullyQualifiedErrorId : 4082394C Any ideas?

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• Maximizing TCP connections on HAProxy load balancer

  - by imaginative

  I am currently using HAProxy in order to load balance tcp connections from clients to my Erlang app server. The connection is persistent, which means I'm limited to roughly 64K clients on an optimized server (I'm currently running HAProxy on an m1.large EC2 instance). My app server is designed to horizontally scale based on the number of TCP connections. What's worrying me though is I'll need an equal number of HAProxy servers as app servers since it's a 1:1 connection. Is there currently a way to "proxy" the tcp connection to the app server so that once HAProxy sends the client off to my Erlang server, it can free up the connection, ready to serve another client? Are there any papers, existing solutions out there I can read so that I only have to worry about the 64K limit on my app servers, and not on the load balancing servers themselves?

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• Increasing load capacity for growing website

  - by markxi

  My website currently runs on a dedicated web server (with LiteSpeed) and dedicated MySQL database server. It's a download based site with a lot of user-generated content, which can be streamed and downloaded, there are also thousands of thumbnails and static content. I'm at the stage where the web server can no longer handle the amount of traffic, so I'm looking a how best to increase capacity considering the large amount of downloadable content. My host suggests mirroring everything on a second web server and distributing the load between them using either DNS Made Easy, or to have my own load balancer (using ldirector) in front of the two web servers. Could anyone advise whether the above method would be the best option? Does any one have any experience with DNS Made Easy and/or ldirector? I'd appreciate any help.

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• Load balancing + NAT issue on BNT GBE 2-7 gear

  - by Clément Game

  Hi guys, I've got troubles configuring an Hardware load-Balancer with NAT functions. I have the following architecture: Internet === VIP (public) LB (private ip) ==== private addressed servers When a connection is initialised from the outside (internet) , the LB correctly forwards the SYN packet to one of the private servers. But when these servers want to reply with a SYN/ACK there is a problem. the initial SYN packet had as ip header : VIP = Private_server_Address But the private servers cannot reach VIP from their side (this is normal since it's nated), and then provide a correct reply. Have you guys any solution to correctly forward the packets to their correct destination ? Note: The load balancer, which is the default gw for the servers, also has a NAT rule for "masquerading" (actually more SNAT than real masquerading) Regards, Clément.

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• First request too slow even if I have a load balancer in the back

  - by adrian7

  I have an Apache 2 on Centos + bind with a wordpress website on it (e.g example.com). I have also set up, on another server in a different contry a load balancer (varnish:80 + nginx 127.0.0.1:8080) for it - which task is to server all static content under /wp-content/. Using Simple DNS editor I added an A entry to cdn.example.com pointing to the server's IP. So no extra work from a 2nd dns server. Then using htaccess I redirect all requests to jpg|gif|css|js files to cdn.example.com. That works and all files are saved on the "cdn" server and served right away. My problem is that for the first time I enter on example.com (e.g after restarting the computer or closing the browser) the load time is 1 up to 3 seconds, while any subsequent page loads take only 300 to 600 miliseconds. I know it might be a DNS issue, but I have done a cache check on several websites and cdn.example.com indicates the right IP. Do you have any ideas where I should dig to solve this first-time slowness?

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• Amazon EC2 Web server in Load Balancer gives 503

  - by dale

  we've been running our web servers at Amazon with load balancer and auto-scaling for over a year with no problem. All of a sudden today the request began to get aborted with the error: 503 ... Backend server is at capacity The web servers are at 1% CPU and no other alarms trigger. We use Amazons load balancer and nginx. Lots of requests like this are showing up in the access_log. 10.246.114.93 - - [05/Jun/2014:20:16:09 +0000] "-" 400 0 "-" "-" 10.246.114.93 - - [05/Jun/2014:20:16:09 +0000] "-" 400 0 "-" "-" 10.246.114.93 - - [05/Jun/2014:20:16:09 +0000] "-" 400 0 "-" "-" 10.246.114.93 - - [05/Jun/2014:20:16:09 +0000] "-" 400 0 "-" "-" 10.246.114.93 - - [05/Jun/2014:20:16:10 +0000] "-" 400 0 "-" "-" 10.246.114.93 - - [05/Jun/2014:20:16:10 +0000] "-" 400 0 "-" "-" 10.246.114.93 - - [05/Jun/2014:20:16:10 +0000] "-" 400 0 "-" "-" 10.229.15.214 - - [05/Jun/2014:20:16:10 +0000] "-" 400 0 "-" "-" 10.229.15.214 - - [05/Jun/2014:20:16:10 +0000] "-" 400 0 "-" "-" Any thoughts?

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• Common filesystem for servers behind a rackspace load balancer

  - by thanos panousis

  Our PHP application consists of a single web server that will receive files from clients and perform a CPU-intensive analysis on them. Right now, analysis of a single user upload can take 3sec to conclude and take 100% CPU. This makes our system capacity amount to 1/3 requests per second. My team's requirement is to increase capacity without a lot of code reengineering. A possible solution would be to set up a load balancer in front of multiple servers running the same app, connecting to a common DB. The problem is that the analysis outputs files on disk. A load balancer would increase capacity, but then files won't be available between servers so consequent client requests may fail. We are hosted on Rackspace, is there a way to configure some sort of "common" storage for all servers, without having to rewrite our file persistance code? Current code relies on simple fopens etc. What are our options?

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• PostgreSQL 9.0 HA load balancing between servers

  - by Vijay Ramachandran

  Hey folks, I'm bashing my head to configure load balancing stuff between two database servers. I have no clue whether, I can find any mechanism to implement this. I already tried to implement Heart beat clustering but it requires virtual Ip wherein I can't create virtual IP or assign my own IP address in amazon EC2. Is there a way to configure PostgreSQL database servers in similar to Amazon load balancing kind of thing ? If so, please suggest the solution. Thanks in advance.

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• PHP and load balancing

  - by StCee

  I have one major domain but the server spec behind it is not good enough. Hence I want to relay the traffic, in particular php-mysql queries to multiple smaller servers. How is that normally be done? (BTW I wonder how much traffic or number of php/mysql request a normal setup on ec2 micro instance can handle? ) I did have a look of EC2 load balancer. But is it only possible to load balance on machines of your own account?

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• Load balanced proxies to avoid an API request limit

  - by ClickClickClick

  There is a certain API out there which limits the number of requests per day per IP. My plan is to create a bunch of EC2 instances with elastic IPs to sidestep the limitation. I'm familiar with EC2 and am just interested in the configuration of the proxies and a software load balancer. I think I want to run a simple TCP Proxy on each instance and a software load balancer on the machine I will be requesting from. Something that allows the following to return a response from a different IP (round robin, availability, doesn't really matter..) eg. curl http://www.bbc.co.uk -x http://myproxyloadbalancer:port Could anyone recommend a combination of software or even a link to an article that details a pleasing way to pull it off? (My client won't be curl but is proxy aware.. I'll be making the requests from a Ruby script..)

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• Why doesn't jquery .load() load a text file from an external website?

  - by Edward Tanguay

  In the example below, when I click the button, it says "Load was performed" but no text is shown. I have a clientaccesspolicy.xml in the root directory and am able to asynchronously load the same file from silverlight. So I would think I should be able to access from AJAX as well. What do I have to change so that the text of the file http://www.tanguay.info/knowsite/data.txt is properly displayed in the #content element? <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"> <html xmlns="http://www.w3.org/1999/xhtml"> <head> <script type="text/javascript" src="http://www.google.com/jsapi"></script> <script type="text/javascript"> google.load("jquery", "1.3.2"); google.setOnLoadCallback(function() { $('#loadButton').click(loadDataFromExernalWebsite); }); function loadDataFromExernalWebsite() { $('#content').load('http://www.tanguay.info/knowsite/data.txt', function() { alert('Load was performed.'); }); } </script> </head> <body> <p>Click the button to load content:</p> <p id="content"></p> <input id="loadButton" type="button" value="load content"/> </body> </html>

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• What is causing the unusual high load average?

  - by James

  I noticed on Tuesday night of last week, the load average went up sharply and it seemed abnormal since the traffic is small. Usually, the numbers usually average around .40 or lower and my server stuff (mysql, php and apache) are optimized. I noticed that the IOWait is unusually high even though the processes is barely using any CPU. top - 01:44:39 up 1 day, 21:13, 1 user, load average: 1.41, 1.09, 0.86 Tasks: 60 total, 1 running, 59 sleeping, 0 stopped, 0 zombie Cpu0 : 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu1 : 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu2 : 0.0%us, 0.3%sy, 0.0%ni, 99.7%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu3 : 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu4 : 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu5 : 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu6 : 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu7 : 0.0%us, 0.0%sy, 0.0%ni, 91.5%id, 8.5%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 1048576k total, 331944k used, 716632k free, 0k buffers Swap: 0k total, 0k used, 0k free, 0k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 1 root 15 0 2468 1376 1140 S 0 0.1 0:00.92 init 1656 root 15 0 13652 5212 664 S 0 0.5 0:00.00 apache2 9323 root 18 0 13652 5212 664 S 0 0.5 0:00.00 apache2 10079 root 18 0 3972 1248 972 S 0 0.1 0:00.00 su 10080 root 15 0 4612 1956 1448 S 0 0.2 0:00.01 bash 11298 root 15 0 13652 5212 664 S 0 0.5 0:00.00 apache2 11778 chikorit 15 0 2344 1092 884 S 0 0.1 0:00.05 top 15384 root 18 0 17544 13m 1568 S 0 1.3 0:02.28 miniserv.pl 15585 root 15 0 8280 2736 2168 S 0 0.3 0:00.02 sshd 15608 chikorit 15 0 8280 1436 860 S 0 0.1 0:00.02 sshd Here is the VMStat procs -----------memory---------- ---swap-- -----io---- -system-- ----cpu---- r b swpd free buff cache si so bi bo in cs us sy id wa 1 0 0 768644 0 0 0 0 14 23 0 10 1 0 99 0 IOStat - Nothing unusal Total DISK READ: 67.13 K/s | Total DISK WRITE: 0.00 B/s TID PRIO USER DISK READ DISK WRITE SWAPIN IO COMMAND 19496 be/4 chikorit 11.85 K/s 0.00 B/s 0.00 % 0.00 % apache2 -k start 19501 be/4 mysql 3.95 K/s 0.00 B/s 0.00 % 0.00 % mysqld 19568 be/4 chikorit 11.85 K/s 0.00 B/s 0.00 % 0.00 % apache2 -k start 19569 be/4 chikorit 11.85 K/s 0.00 B/s 0.00 % 0.00 % apache2 -k start 19570 be/4 chikorit 11.85 K/s 0.00 B/s 0.00 % 0.00 % apache2 -k start 19571 be/4 chikorit 7.90 K/s 0.00 B/s 0.00 % 0.00 % apache2 -k start 19573 be/4 chikorit 7.90 K/s 0.00 B/s 0.00 % 0.00 % apache2 -k start 1 be/4 root 0.00 B/s 0.00 B/s 0.00 % 0.00 % init 11778 be/4 chikorit 0.00 B/s 0.00 B/s 0.00 % 0.00 % top 19470 be/4 mysql 0.00 B/s 0.00 B/s 0.00 % 0.00 % mysqld Load Average Chart - http://i.stack.imgur.com/kYsD0.png I want to be sure if this is not a MySQL problem before making sure. Also, this is a Ubuntu 10.04 LTS Server on OpenVZ. Edit: This will probably give a good picture on the IO Wait top - 22:12:22 up 17:41, 1 user, load average: 1.10, 1.09, 0.93 Tasks: 33 total, 1 running, 32 sleeping, 0 stopped, 0 zombie Cpu(s): 0.6%us, 0.2%sy, 0.0%ni, 89.0%id, 10.1%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 1048576k total, 260708k used, 787868k free, 0k buffers Swap: 0k total, 0k used, 0k free, 0k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 1 root 15 0 2468 1376 1140 S 0 0.1 0:00.88 init 5849 root 15 0 12336 4028 668 S 0 0.4 0:00.00 apache2 8063 root 15 0 12336 4028 668 S 0 0.4 0:00.00 apache2 9732 root 16 0 8280 2728 2168 S 0 0.3 0:00.02 sshd 9746 chikorit 18 0 8412 1444 864 S 0 0.1 0:01.10 sshd 9747 chikorit 18 0 4576 1960 1488 S 0 0.2 0:00.24 bash 13706 chikorit 15 0 2344 1088 884 R 0 0.1 0:00.03 top 15745 chikorit 15 0 12968 5108 1280 S 0 0.5 0:00.00 apache2 15751 chikorit 15 0 72184 25m 18m S 0 2.5 0:00.37 php5-fpm 15790 chikorit 18 0 12472 4640 1192 S 0 0.4 0:00.00 apache2 15797 chikorit 15 0 72888 23m 16m S 0 2.3 0:00.06 php5-fpm 16038 root 15 0 67772 2848 592 D 0 0.3 0:00.00 php5-fpm 16309 syslog 18 0 24084 1316 992 S 0 0.1 0:00.07 rsyslogd 16316 root 15 0 5472 908 500 S 0 0.1 0:00.00 sshd 16326 root 15 0 2304 908 712 S 0 0.1 0:00.02 cron 17464 root 15 0 10252 7560 856 D 0 0.7 0:01.88 psad 17466 root 18 0 1684 276 208 S 0 0.0 0:00.31 psadwatchd 17559 root 18 0 11444 2020 732 S 0 0.2 0:00.47 sendmail-mta 17688 root 15 0 10252 5388 1136 S 0 0.5 0:03.81 python 17752 teamspea 19 0 44648 7308 4676 S 0 0.7 1:09.70 ts3server_linux 18098 root 15 0 12336 6380 3032 S 0 0.6 0:00.47 apache2 18099 chikorit 18 0 10368 2536 464 S 0 0.2 0:00.00 apache2 18120 ntp 15 0 4336 1316 984 S 0 0.1 0:00.87 ntpd 18379 root 15 0 12336 4028 668 S 0 0.4 0:00.00 apache2 18387 mysql 15 0 62796 36m 5864 S 0 3.6 1:43.26 mysqld 19584 root 15 0 12336 4028 668 S 0 0.4 0:00.02 apache2 22498 root 16 0 12336 4028 668 S 0 0.4 0:00.00 apache2 24260 root 15 0 67772 3612 1356 S 0 0.3 0:00.22 php5-fpm 27712 root 15 0 12336 4028 668 S 0 0.4 0:00.00 apache2 27730 root 15 0 12336 4028 668 S 0 0.4 0:00.00 apache2 30343 root 15 0 12336 4028 668 S 0 0.4 0:00.00 apache2 30366 root 15 0 12336 4028 668 S 0 0.4 0:00.00 apache2 This is the free ram as of today. total used free shared buffers cached Mem: 1024 302 721 0 0 0 -/+ buffers/cache: 302 721 Swap: 0 0 0 Update: Looking into the logs, particularly the PHP5-FPM, which is causing the CPU spike. I found that its segment faulting for some apparent reason. [03-Jun-2012 06:11:20] NOTICE: [pool www] child 14132 started [03-Jun-2012 06:11:25] WARNING: [pool www] child 13664 exited on signal 11 (SIGSEGV) after 53.686322 seconds from start [03-Jun-2012 06:11:25] NOTICE: [pool www] child 14328 started [03-Jun-2012 06:11:25] WARNING: [pool www] child 14132 exited on signal 11 (SIGSEGV) after 4.708681 seconds from start [03-Jun-2012 06:11:25] NOTICE: [pool www] child 14329 started [03-Jun-2012 06:11:58] WARNING: [pool www] child 14328 exited on signal 11 (SIGSEGV) after 32.981228 seconds from start [03-Jun-2012 06:11:58] NOTICE: [pool www] child 15745 started [03-Jun-2012 06:12:25] WARNING: [pool www] child 15745 exited on signal 11 (SIGSEGV) after 27.442864 seconds from start [03-Jun-2012 06:12:25] NOTICE: [pool www] child 17446 started [03-Jun-2012 06:12:25] WARNING: [pool www] child 14329 exited on signal 11 (SIGSEGV) after 60.411278 seconds from start [03-Jun-2012 06:12:25] NOTICE: [pool www] child 17447 started [03-Jun-2012 06:13:02] WARNING: [pool www] child 17446 exited on signal 11 (SIGSEGV) after 36.746793 seconds from start [03-Jun-2012 06:13:02] NOTICE: [pool www] child 18133 started [03-Jun-2012 06:13:48] WARNING: [pool www] child 17447 exited on signal 11 (SIGSEGV) after 82.710107 seconds from start I'm thinking that this might be causing the problem. If that is the cause, probably switching it off that to fastcgi/fcgid might resolve it... but still, I want to see if something else might be causing it to do this.

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• Load and Web Performance Testing using Visual Studio Ultimate 2010-Part 3

  - by Tarun Arora

  Welcome back once again, in Part 1 of Load and Web Performance Testing using Visual Studio 2010 I talked about why Performance Testing the application is important, the test tools available in Visual Studio Ultimate 2010 and various test rig topologies, in Part 2 of Load and Web Performance Testing using Visual Studio 2010 I discussed the details of web performance & load tests as well as why it’s important to follow a goal based pattern while performance testing your application. In part 3 I’ll be discussing Test Result Analysis, Test Result Drill through, Test Report Generation, Test Run Comparison, Asp.net Profiler and some closing thoughts. Test Results – I see some creepy worms! In Part 2 we put together a web performance test and a load test, lets run the test to see load test to see how the Web site responds to the load simulation. While the load test is running you will be able to see close to real time analysis in the Load Test Analyser window. You can use the Load Test Analyser to conduct load test analysis in three ways: Monitor a running load test - A condensed set of the performance counter data is maintained in memory. To prevent the results memory requirements from growing unbounded, up to 200 samples for each performance counter are maintained. This includes 100 evenly spaced samples that span the current elapsed time of the run and the most recent 100 samples.         After the load test run is completed - The test controller spools all collected performance counter data to a database while the test is running. Additional data, such as timing details and error details, is loaded into the database when the test completes. The performance data for a completed test is loaded from the database and analysed by the Load Test Analyser. Below you can see a screen shot of the summary view, this provides key results in a format that is compact and easy to read. You can also print the load test summary, this is generated after the test has completed or been stopped.         Analyse the load test results of a previously run load test – We’ll see this in the section where i discuss comparison between two test runs. The performance counters can be plotted on the graphs. You also have the option to highlight a selected part of the test and view details, drill down to the user activity chart where you can hover over to see more details of the test run.   Generate Report => Test Run Comparisons The level of reports you can generate using the Load Test Analyser is astonishing. You have the option to create excel reports and conduct side by side analysis of two test results or to track trend analysis. The tools also allows you to export the graph data either to MS Excel or to a CSV file. You can view the ASP.NET profiler report to conduct further analysis as well. View Data and Diagnostic Attachments opens the Choose Diagnostic Data Adapter Attachment dialog box to select an adapter to analyse the result type. For example, you can select an IntelliTrace adapter, click OK and open the IntelliTrace summary for the test agent that was used in the load test.   Compare results This creates a set of reports that compares the data from two load test results using tables and bar charts. I have taken these screen shots from the MSDN documentation, I would highly recommend exploring the wealth of knowledge available on MSDN. Leaving Thoughts While load testing the application with an excessive load for a longer duration of time, i managed to bring the IIS to its knees by piling up a huge queue of requests waiting to be processed. This clearly means that the IIS had run out of threads as all the threads were busy processing existing request, one easy way of fixing this is by increasing the default number of allocated threads, but this might escalate the problem. The better suggestion is to try and drill down to the actual root cause of the problem. When ever the garbage collection runs it stops processing any pages so all requests that come in during that period are queued up, but realistically the garbage collection completes in fraction of a a second. To understand this better lets look at the .net heap, it is divided into large heap and small heap, anything greater than 85kB in size will be allocated to the Large object heap, the Large object heap is non compacting and remember large objects are expensive to move around, so if you are allocating something in the large object heap, make sure that you really need it! The small object heap on the other hand is divided into generations, so all objects that are supposed to be short-lived are suppose to live in Gen-0 and the long living objects eventually move to Gen-2 as garbage collection goes through.  As you can see in the picture below all < 85 KB size objects are first assigned to Gen-0, when Gen-0 fills up and a new object comes in and finds Gen-0 full, the garbage collection process is started, the process checks for all the dead objects and assigns them as the valid candidate for deletion to free up memory and promotes all the remaining objects in Gen-0 to Gen-1. So in the future when ever you clean up Gen-1 you have to clean up Gen-0 as well. When you fill up Gen – 0 again, all of Gen – 1 dead objects are drenched and rest are moved to Gen-2 and Gen-0 objects are moved to Gen-1 to free up Gen-0, but by this time your Garbage collection process has started to take much more time than it usually takes. Now as I mentioned earlier when garbage collection is being run all page requests that come in during that period are queued up. Does this explain why possibly page requests are getting queued up, apart from this it could also be the case that you are waiting for a long running database process to complete.      Lets explore the heap a bit more… What is really a case of crisis is when the objects are living long enough to make it to Gen-2 and then dying, this is definitely a high cost operation. But sometimes you need objects in memory, for example when you cache data you hold on to the objects because you need to use them right across the user session, which is acceptable. But if you wanted to see what extreme caching can do to your server then write a simple application that chucks in a lot of data in cache, run a load test over it for about 10-15 minutes, forcing a lot of data in memory causing the heap to run out of memory. If you get to such a state where you start running out of memory the IIS as a mode of recovery restarts the worker process. It is great way to free up all your memory in the heap but this would clear the cache. The problem with this is if the customer had 10 items in their shopping basket and that data was stored in the application cache, the user basket will now be empty forcing them either to get frustrated and go to a competitor website or if the customer is really patient, give it another try! How can you address this, well two ways of addressing this; 1. Workaround – A x86 bit processor only allows a maximum of 4GB of RAM, this means the machine effectively has around 3.4 GB of RAM available, the OS needs about 1.5 GB of RAM to run efficiently, the IIS and .net framework also need their share of memory, leaving you a heap of around 800 MB to play with. Because Team builds by default build your application in ‘Compile as any mode’ it means the application is build such that it will run in x86 bit mode if run on a x86 bit processor and run in a x64 bit mode if run on a x64 but processor. The problem with this is not all applications are really x64 bit compatible specially if you are using com objects or external libraries. So, as a quick win if you compiled your application in x86 bit mode by changing the compile as any selection to compile as x86 in the team build, you will be able to run your application on a x64 bit machine in x86 bit mode (WOW – By running Windows on Windows) and what that means is, you could use 8GB+ worth of RAM, if you take away everything else your application will roughly get a heap size of at least 4 GB to play with, which is immense. If you need a heap size of more than 4 GB you have either build a software for NASA or there is something fundamentally wrong in your application. 2. Solution – Now that you have put a workaround in place the IIS will not restart the worker process that regularly, which means you can take a breather and start working to get to the root cause of this memory leak. But this begs a question “How do I Identify possible memory leaks in my application?” Well i won’t say that there is one single tool that can tell you where the memory leak is, but trust me, ‘Performance Profiling’ is a great start point, it definitely gets you started in the right direction, let’s have a look at how. Performance Wizard - Start the Performance Wizard and select Instrumentation, this lets you measure function call counts and timings. Before running the performance session right click the performance session settings and chose properties from the context menu to bring up the Performance session properties page and as shown in the screen shot below, check the check boxes in the group ‘.NET memory profiling collection’ namely ‘Collect .NET object allocation information’ and ‘Also collect the .NET Object lifetime information’.    Now if you fire off the profiling session on your pages you will notice that the results allows you to view ‘Object Lifetime’ which shows you the number of objects that made it to Gen-0, Gen-1, Gen-2, Large heap, etc. Another great feature about the profile is that if your application has > 5% cases where objects die right after making to the Gen-2 storage a threshold alert is generated to alert you. Since you have the option to also view the most expensive methods and by capturing the IntelliTrace data you can drill in to narrow down to the line of code that is the root cause of the problem. Well now that we have seen how crucial memory management is and how easy Visual Studio Ultimate 2010 makes it for us to identify and reproduce the problem with the best of breed tools in the product. Caching One of the main ways to improve performance is Caching. Which basically means you tell the web server that instead of going to the database for each request you keep the data in the webserver and when the user asks for it you serve it from the webserver itself. BUT that can have consequences! Let’s look at some code, trust me caching code is not very intuitive, I define a cache key for almost all searches made through the common search page and cache the results. The approach works fine, first time i get the data from the database and second time data is served from the cache, significant performance improvement, EXCEPT when two users try to do the same operation and run into each other. But it is easy to handle this by adding the lock as you can see in the snippet below. So, as long as a user comes in and finds that the cache is empty, the user locks and starts to get the cache no more concurrency issues. But lets say you are processing 10 requests per second, by the time i have locked the operation to get the results from the database, 9 other users came in and found that the cache key is null so after i have come out and populated the cache they will still go in to get the results again. The application will still be faster because the next set of 10 users and so on would continue to get data from the cache. BUT if we added another null check after locking to build the cache and before actual call to the db then the 9 users who follow me would not make the extra trip to the database at all and that would really increase the performance, but didn’t i say that the code won’t be very intuitive, may be you should leave a comment you don’t want another developer to come in and think what a fresher why is he checking for the cache key null twice !!! The downside of caching is, you are storing the data outside of the database and the data could be wrong because the updates applied to the database would make the data cached at the web server out of sync. So, how do you invalidate the cache? Well if you only had one way of updating the data lets say only one entry point to the data update you can write some logic to say that every time new data is entered set the cache object to null. But this approach will not work as soon as you have several ways of feeding data to the system or your system is scaled out across a farm of web servers. The perfect solution to this is Micro Caching which means you cache the query for a set time duration and invalidate the cache after that set duration. The advantage is every time the user queries for that data with in the time span for which you have cached the results there are no calls made to the database and the data is served right from the server which makes the response immensely quick. Now figuring out the appropriate time span for which you micro cache the query results really depends on the application. Lets say your website gets 10 requests per second, if you retain the cache results for even 1 minute you will have immense performance gains. You would reduce 90% hits to the database for searching. Ever wondered why when you go to e-bookers.com or xpedia.com or yatra.com to book a flight and you click on the book button because the fare seems too exciting and you get an error message telling you that the fare is not valid any more. Yes, exactly => That is a cache failure! These travel sites or price compare engines are not going to hit the database every time you hit the compare button instead the results will be served from the cache, because the query results are micro cached, its a perfect trade-off, by micro caching the results the site gains 100% performance benefits but every once in a while annoys a customer because the fare has expired. But the trade off works in the favour of these sites as they are still able to process up to 30+ page requests per second which means cater to the site traffic by may be losing 1 customer every once in a while to a competitor who is also using a similar caching technique what are the odds that the user will not come back to their site sooner or later? Recap   Resources Below are some Key resource you might like to review. I would highly recommend the documentation, walkthroughs and videos available on MSDN. You can always make use of Fiddler to debug Web Performance Tests. Some community test extensions and plug ins available on Codeplex might also be of interest to you. The Road Ahead Thank you for taking the time out and reading this blog post, you may also want to read Part I and Part II if you haven’t so far. If you enjoyed the post, remember to subscribe to http://feeds.feedburner.com/TarunArora. Questions/Feedback/Suggestions, etc please leave a comment. Next ‘Load Testing in the cloud’, I’ll be working on exploring the possibilities of running Test controller/Agents in the Cloud. See you on the other side! Thank You!   Share this post : CodeProject

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• php-fpm: very high server load

  - by Derp Derpington

  Since today my webserver (nginx + php-fpm + mysql on a VPS) is very slow. htop says: 1 [|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||100.0%] Tasks: 63 total, 13 running 2 [|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||100.0%] Load average: 11.67 10.95 6.95 3 [|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||100.0%] Uptime: 00:18:40 4 [|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||100.0%] 5 [|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||100.0%] 6 [|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||100.0%] Mem[||||||||||| 137/1280MB] Swp[ 0/0MB] PID USER PRI NI VIRT RES SHR S CPU% MEM% TIME+ Command 6802 www 20 0 76232 12320 5716 R 27.0 0.9 0:06.48 php-fpm: pool www 7048 www 20 0 75200 12136 5700 R 52.0 0.9 0:03.64 php-fpm: pool www 6699 www 20 0 74176 11124 5700 R 27.0 0.8 0:07.36 php-fpm: pool www 7029 www 20 0 73668 10380 5676 R 42.0 0.8 0:03.52 php-fpm: pool www 6995 www 20 0 76228 12456 5644 R 42.0 1.0 0:03.98 php-fpm: pool www 6858 www 20 0 74172 10684 5620 R 35.0 0.8 0:05.52 php-fpm: pool www 6998 www 20 0 75200 12072 5620 R 37.0 0.9 0:03.95 php-fpm: pool www 7098 www 20 0 75200 12052 5616 R 42.0 0.9 0:02.33 php-fpm: pool www 7093 www 20 0 76228 12496 5612 R 37.0 1.0 0:03.02 php-fpm: pool www 7226 www 20 0 74692 11080 5588 R 32.0 0.8 0:00.66 php-fpm: pool www CPU: (cat /proc/cpuinfo | grep model) model : 44 model name : Intel(R) Xeon(R) CPU E5620 @ 2.40GHz model : 44 model name : Intel(R) Xeon(R) CPU E5620 @ 2.40GHz model : 44 model name : Intel(R) Xeon(R) CPU E5620 @ 2.40GHz model : 44 model name : Intel(R) Xeon(R) CPU E5620 @ 2.40GHz model : 44 model name : Intel(R) Xeon(R) CPU E5620 @ 2.40GHz model : 44 model name : Intel(R) Xeon(R) CPU E5620 @ 2.40GHz I think a load of 10 and 100% cpu usage is not normal... How can i fix that?

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• Ubuntu Pound Reverse Proxy Load Balancing Based off active server load?

  - by Andrew

  I have Pound installed on a loadbalancer. It seems to work okay, except that it randomly assigns the backend server to forward the request to. I've put 1 backend machine under so much load that it went into using swap, and I can't even ssh into it to test this scenareo. I would like the loadbalancer to realize that the machine is overloaded, and send it to a different backend machine. However it doesn't. I've read the man page and it seems like the directive "DynScale 1" is what would monitor this, but it still redirects to the overloaded server. I've also put in "HAport 22" to the backend figuring since I can't ssh in, neither could the loadbalancer and it would consider the backend server dead until it gets rid of the load and responds, but that didn't help either. If anyone could help with this, I'd appreciate it. My current config is below. ###################################################################### ## global options: User "www-data" Group "www-data" #RootJail "/chroot/pound" ## Logging: (goes to syslog by default) ## 0 no logging ## 1 normal ## 2 extended ## 3 Apache-style (common log format) LogLevel 3 ## check backend every X secs: Alive 5 DynScale 1 Client 1200 TimeOut 1500 # poundctl control socket Control "/var/run/pound/poundctl.socket" ###################################################################### ## listen, redirect and ... to: ## redirect all requests on port 80 to SSL ListenHTTP Address 192.168.1.XX Port 80 Service Redirect "https://xxx.com/" End End ListenHTTPS Address 192.168.1.XX Port 443 Cert "/files/www.xxx.com.pem" Service BackEnd Address 192.168.1.1 Port 80 HAport 22 End BackEnd Address 192.168.1.2 Port 80 HAport 22 End End End

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• How do I choose the number of connection for load balancer?

  - by user105196

  I want to add hardware load balancer for apache and I want to know how many people are connected to my server to to choose the type of load balancer: Local Load Balancing with SSL - 250 Connections Local Load Balancing with SSL - 500 Connections Local Load Balancing with SSL - 1000 Connections I run the following commands in the same time: netstat -nt|grep -c :443 ( all connection wait and ESTABLISHED) result : 1208 netstat -ant | grep 443 | grep EST | wc -l ( just ESTABLISHED connection) result :106 My question: Whichever is the correct value to choose the load balancer all connection or just ESTABLISHED ?

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• Apache, Tomcat and mod_jk for load balancing

  - by pHk

  Hi guys. I've set-up a basic Apache (2.2.x) and Tomcat (6.0.x) set-up using mod_jk for load balancing using the worker.properties file. Preliminary testing seems to show that this works relatively well, and it was quite easy to set-up. However; the fact that it was so easy to set-up has got me a little worried. We're dealing with 100 - 300 concurrent users using the same web application (deployed on 2 or 3 Tomcat instances). I have done a little Googling and looking around on here and there seems to be more than 1 way to accomplish this (one example on here used a balancer:// style URL, which I've never seen before in an Apache config). For example, one question I ask myself is how reliable the load detection on mod_jk really is (Busyness, Session, Request, etc). In your experience, does this set-up prove to be reliable in real world scenarios? Any pointers on improvements, pit falls or interesting literature/articles? I've worked with Apache before, but am in no way an expert. Thanks in advance.

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• 100% CPU load on Ubuntu 10.04.3 LTS 64bit

  - by deadtired

  I have 2 days since I am trying to fix this issue, with no success. The server is a mysql database server. Hardware: DELL Poweredge 1950, 2x Intel Xeon Quad Core E5345 @ 2.33GHz, 16 Gb mem, 2x 146Gb SAS (software RAID1) Software: Ubuntu 10.04.3 LTS, MySQL 5.1.41 Issue: while mysql is not used and runs with no database, everything seems alright. As soon as I install a database, it has the reason to bring all 8 cores in 100% with low memory consumption. So, you can imagine the load average goes high (I saw 212 load average for the first time). The server doesn't become unresponsive, but you can see it's slow while browsing the project installed. Additional info: the database used is not more than 24MB and it was moved from a server with less resources and a lot more larger databases. So it's not the database/project. my.cnf is not a reason also, as I used both default one and the one I use on the same distribution on another server.What is interesting is that mysql doesn't close any process and runs to the limit of the max_connections. Logs are quiet. Nothing there. I switched to this Ubuntu version after I suspected some problems in the newly Ubuntu 11.10 server. This one worked alright for an hour after I made a kernel upgrade to 3.0.1 (it was using the memory also) I tested disk speed and seems alright. Some more output on the running server: dstat -cndymlp -N total -D total 3: htop command: Idea? Did anyone meet the same problem? Any fix you can think of?

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• Nginx load balancing and maintaining URLs

  - by Steve Klabnik

  I'm trying to use nginx as a load balancer, and it's working great. One problem, though. The load balancing box is at 123.123.123.123, and the backend box is 456.456.456.456. So I have this config: upstream backend { server 456.456.456.456; } server { listen 80; server_name 123.123.123.123; access_log off; error_log off; location / { proxy_set_header Host $host; proxy_set_header X-Real-IP $remote_addr; proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; proxy_pass http://backend; } } This works great. I hit 123.123.123.123 in my browser, and the page comes up. But now the URL in the browser says http://456.456.456.456. Do I need to use a rewrite rule or something to keep the url correct? I don't want it to be different when going to different backed servers. None of the tutorials I've read have mentioned anything about this.

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• jQyery bind on ajax load() event

  - by Andrei C

  Hi guys. I have a page which display multiple blocks with results details. Inside each block I have some tags with thichbox jQuery plugin attached( class="thichbox"). http://jquery.com/demo/thickbox/ here is an example of one kind of ampersant tag: <a class="thickbox" title="Please Sign In" href="userloginredir.php?height=220&width=350&deal=3"> Problem comes when I added a jQuery pagination to the page because of to many results displaying on the page. The div component with the results inside is updated through ajax load() event. Below is the pagination script. $(document).ready(function(){ //References var pages = $("#menu_deals li"); var loading = $("#loading_deals"); var content = $("#content_deals"); //show loading bar function showLoading(){ loading .css({visibility:"visible"}) .css({opacity:"1"}) .css({display:"block"}) ; } //hide loading bar function hideLoading(){ loading.fadeTo(1000, 0); }; //Manage click events pages.live('click',function(){ //show the loading bar showLoading(); //Highlight current page number pages.css({'background-color' : ''}); $(this).css({'background-color' : 'yellow'}); //Load content var pageNum = this.id; var targetUrl = "ajax_search_results.php?page=" + pageNum + "&" + $("#dealsForm").serialize() + " #content_d"; content.load(targetUrl, hideLoading); }); //default - 1st page $("#1").css({'background-color' : 'yellow'}); var targetUrl = "ajax_search_results.php?page=1&" + $("#dealsForm").serialize() + " #content_d"; showLoading(); content.load(targetUrl, hideLoading); }); When I added pagination(code above), the thickbox events are not recognized anymore and instead of poping out a window with the login form inside it opens the results in new page (is acting like clicking on a normal link) From my jQuery knowledge this means that the components are not defined in the DOM because the content is updated after document ready triggered. I'm trying to bind the load event with something like this: content.bind('load',???); But I don't know how to pass the load params, targetUrl and the callback function hideLoading, when binding the load event. Please help me out in this matter, already took me more time than possible allowed. Thank you!

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