Search Results

Search found 50757 results on 2031 pages for 'page load'.

Page 9/2031 | < Previous Page | 5 6 7 8 9 10 11 12 13 14 15 16  | Next Page >

• Windows Load-Balancing, Forward-Proxying Software

  - by LandonC

  Does anyone know of any Windows software that will do forward-proxying load-balancing, like HAProxy does? There are tons of reverse-proxy solutions, but I can't find any that do what HAProxy does, that is, allows you to load-balance a group of forwarding-proxies. I have a proxy farm (don't ask) that I need to round-robin balance. HAProxy will do it, but is very unstable on Windows. Thoughts? I'd really appreciate it. And yes, this is an actual, production environment question.

  Read the article

• Predictive vs Least Connection Load Balancing Techniques

  - by Mani

  I have a windows based desktop application that communicates via TCP to the application servers. (windows 2003). No sticky sessions between client calls. We have exactly 2 servers to load balance and we are thinking to use a F5 hardware NLB. The application is a heavy load types, doing not much bussiness logic in the services but retrieving quite a big amount of data at most of the times. May be on an average 5000 to 10000 records at all times. Used mainly for storing and retirieving data and no special processing of data or calculations running on the server side. I am favouring 'predictive' considering my services take a while at times to return data and hence tracking the feedback would yield some better routing as in predictive. I am not sure if the given data is sufficient enough to suggest some ideas but considering these, what would be some suggestions\things to consider\best between Predictive and Least Connections ? Thanks.

  Read the article

• 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

  Read the article

• 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

  Read the article

• 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?

  Read the article

• 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.

  Read the article

• 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.

  Read the article

• 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?

  Read the article

• 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?

  Read the article

• 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.

  Read the article

• 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.

  Read the article

• 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?

  Read the article

• 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?

  Read the article

• 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?

  Read the article

• 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.

  Read the article

• 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?

  Read the article

• 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..)

  Read the article

• EC2 configuration for medium load service on Django

  - by Luberg

  I have created a very basic Django application which puts an email to the database (Coming soon page for a startup). I launched a t1.micro instance to try out which load it can carry out. Nginx+FastCGI from Django+sqllite/postgres - tried both. blitz.io test gave me a pretty unhappy result (just 100 users within 1 minute): This rush generated 542 successful hits in 1.0 min and we transferred 809.01 KB of data in and out of your app. The average hit rate of 8.81/second translates to about 761,612 hits/day. You got bigger problems though: 87.28% of the users during this rush experienced timeouts or errors! I tried both to put varnish, disabled Debub mode in django and started fastcgi in threaded mode - nothing helps. This is not gonna be a super highload page - just a coming soon page to save email of subscribers, it should carry at least 500-1000 users at the same time in peak... I believe t1.micro is super small for that, but I also have tried small instance - not better result.. Please let me know should I use something different from Amazon EC2, or to pick smth better than t1.micro, or I that is definetely a configuration issues?...

  Read the article

• OS X page up, page down movement keys and cursor focus in finder

  - by Gerald Kaszuba

  When using the page up and page down keys in Finder, the cursor stays in the same spot, even though the window has moved elsewhere. Is there a way to move the cursor, page by page in Finder?

  Read the article

• WordPress - Each page of paged posts all show same posts

  - by j-man86

  I set up a pagination function for my wordpress blog. When clicking to the next page, the URL is correct: "/page/1", "/page/2", "/page/3" etc, but the actual posts don't change from page to page (page 2 and page 3 still display the first page of posts). Here's the code I'm using for the loop: <?php $paged = (get_query_var('paged')) ? get_query_var('paged') : 1; $sticky=get_option('sticky_posts'); $args=array( 'offset' => 1, 'category__not_in' => array(-6), 'paged'=>$paged, 'showposts' => 6, ); query_posts($args); if ( $wp_query->have_posts() ) : while ( $wp_query->have_posts() ) : $wp_query->the_post(); ?> Any help/insight would be much appreciated. Thank you!

  Read the article

• 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>

  Read the article

• How to get the if the Page is Liked in my Facebook Application page

  - by Axe

  I'm using the Facebook sdk from codeplex I've tried the suggestion at How to get the Page Id in my Facebook Application page which is this: if (FacebookWebContext.Current.SignedRequest != null) { dynamic data = FacebookWebContext.Current.SignedRequest.Data; if (data.page != null) { var pageId = (String)data.page.id; var isUserAdmin = (Boolean)data.page.admin; var userLikesPage = (Boolean)data.page.liked; } else { // not on a page } } But my data.page is null. Do I need to ask for some extra permissions on the authorization or something? Also tried this the FQL suggested at http://blog.woodylabs.com/2010/09/facebook-graph-api-is-user-a-fan-of-page-id-using-fql-and-opengraph-to-mimic-pages-isfan/ But I only have an appId not a page ID. Any ideas?

  Read the article

• 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.

  Read the article

• 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

  Read the article

• loading remote page into DOM with javascript

  - by scoobydoo

  I am trying to write a web widget which will allow users to display customized information (from my website) in their own web page. The mechanism I want to use (for creating the web widget) is javascript. So basically, I want to be able to write some javascript code like this (this is what the end user copies into their HTML page, to get my widget displayed in their page) <script type="text/javascript"> /* javascript here to fetch page from remote url and insert into DOM */ </script> I have two questions: how do I write a javascript code to fetch the page from the remote url? Ideally this will be PLAIN javascript (i.e. not using jQuery etc - since I dont want to force the user to get third party scripts jQuery which may conflict with other scripts on their page etc) The page I am fetching contains inline javascript, which gets executed in an body.onLoad event, as well as other functions which are used in response to user actions - my questions are: i). will the body.onLoad event be triggered for the retrieved document?. ii). If the retrieved page is dumped directly into the DOM, then the document will contain two <body> sections, which is no longer valid (X)HTML - however, I need the body.onLoad event to be triggered for the page to be setup correctly, and I also need the other functions in the retrieved page, for the retrieved page to be able to respond to the user interaction. Any suggestions/tips on how I can solve these problems?

  Read the article

< Previous Page | 5 6 7 8 9 10 11 12 13 14 15 16  | Next Page >